Explore numerous data-related job opportunities. Positions span across various sectors, including 46,025 Data jobs in the United Kingdom
Remote Data Scientist - Mining Operations
L3 1DD Liverpool, North West
£55000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Our client, a global leader in the mining sector, is seeking a skilled Data Scientist to join their innovative team on a fully remote basis. This is an exceptional opportunity to leverage advanced analytics and machine learning techniques to optimize mining operations, enhance safety, and drive efficiency across international sites. You will work with vast datasets to uncover actionable insights and shape critical business decisions.
As a Data Scientist, you will be responsible for the end-to-end process of data analysis, from data acquisition and cleaning to model development and deployment. You will collaborate closely with operational teams, geologists, and engineers to identify key challenges and opportunities where data-driven solutions can make a significant impact. This role requires a strong understanding of statistical modeling, machine learning algorithms, and data visualization tools.
Key Responsibilities:
As a Data Scientist, you will be responsible for the end-to-end process of data analysis, from data acquisition and cleaning to model development and deployment. You will collaborate closely with operational teams, geologists, and engineers to identify key challenges and opportunities where data-driven solutions can make a significant impact. This role requires a strong understanding of statistical modeling, machine learning algorithms, and data visualization tools.
Key Responsibilities:
- Develop and implement predictive models to forecast equipment performance, operational efficiency, and resource extraction.
- Analyze large and complex datasets from various sources (e.g., sensor data, geological surveys, operational logs) to identify patterns and trends.
- Design and build machine learning pipelines for tasks such as anomaly detection, process optimization, and risk assessment.
- Create compelling data visualizations and reports to communicate findings to both technical and non-technical stakeholders.
- Collaborate with subject matter experts to define key performance indicators (KPIs) and data requirements.
- Implement and deploy models into production environments, monitoring their performance and iterating as needed.
- Stay current with the latest advancements in data science, machine learning, and big data technologies.
- Contribute to the development of data strategy and best practices within the organization.
- Ensure data integrity, quality, and security throughout all analytical processes.
This advertiser has chosen not to accept applicants from your region.
0
Remote Data Scientist (Mining Analytics)
LS1 1UR Leeds, Yorkshire and the Humber
£50000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client, a global leader in the mining industry, is looking for a highly skilled and motivated Remote Data Scientist specializing in Mining Analytics. This fully remote position offers the opportunity to leverage vast datasets to drive operational efficiency, improve safety, and optimize resource extraction across diverse mining operations worldwide. The successful candidate will play a key role in developing advanced analytical models, implementing machine learning solutions, and translating complex data into actionable insights for strategic decision-making.
Key Responsibilities:
Qualifications:
This fully remote role offers a highly competitive salary, comprehensive benefits, and the opportunity to make a significant impact on global mining operations. Join a forward-thinking company at the forefront of technological innovation in the industry.
Key Responsibilities:
- Develop and implement advanced statistical and machine learning models to analyze mining data, including geological, operational, and financial information.
- Identify patterns, trends, and anomalies in large datasets to uncover insights related to ore grade, production efficiency, equipment performance, and safety.
- Design and build data pipelines for data ingestion, cleaning, transformation, and feature engineering specifically for mining applications.
- Collaborate with geologists, engineers, and operational managers to understand their challenges and translate them into data science problems.
- Develop predictive models for equipment failure, resource estimation, and production forecasting.
- Create interactive dashboards and visualizations to communicate complex findings to technical and non-technical stakeholders.
- Stay abreast of the latest advancements in data science, machine learning, and their applications in the mining sector.
- Ensure data quality, integrity, and security across all analytical processes.
- Contribute to the strategic roadmap for data analytics within the mining operations.
- Mentor junior data analysts and scientists.
Qualifications:
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Mining Engineering, or a related quantitative field.
- Proven experience (minimum 5 years) as a Data Scientist with a strong focus on applying advanced analytics and machine learning techniques.
- Demonstrated experience in the mining or natural resources sector, with a deep understanding of mining processes and data types.
- Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Experience with database technologies (SQL, NoSQL) and big data platforms (e.g., Spark).
- Strong knowledge of statistical modeling, machine learning algorithms, and data mining techniques.
- Excellent data visualization skills (e.g., Tableau, Power BI, Matplotlib).
- Exceptional problem-solving abilities and a curious, analytical mindset.
- Strong communication and interpersonal skills, with the ability to explain technical concepts clearly.
- Ability to work independently and manage projects effectively in a remote setting.
This fully remote role offers a highly competitive salary, comprehensive benefits, and the opportunity to make a significant impact on global mining operations. Join a forward-thinking company at the forefront of technological innovation in the industry.
This advertiser has chosen not to accept applicants from your region.
1
Senior Data Management Professional - Data Science - Data Management Lab
London, London
Bloomberg
Posted 20 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Science - Data Management Lab
Location
London
Business Area
Data
Ref #
10043689
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! Weu2019re responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Datau2019s pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products u201cready-to-useu201d by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, weu2019ll trust you to:**
Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**Youu2019ll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
Strong coding skills ideally in Python and experience with SQL for data querying
Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
10043689
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! Weu2019re responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Datau2019s pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products u201cready-to-useu201d by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, weu2019ll trust you to:**
Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**Youu2019ll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
Strong coding skills ideally in Python and experience with SQL for data querying
Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
2
Senior Data Management Professional - Data Science - Data Management Lab
London, London
Bloomberg
Posted 20 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Science - Data Management Lab
Location
London
Business Area
Data
Ref #
10043689
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! Weu2019re responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Datau2019s pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products u201cready-to-useu201d by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, weu2019ll trust you to:**
Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**Youu2019ll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
Strong coding skills ideally in Python and experience with SQL for data querying
Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
10043689
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! Weu2019re responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Datau2019s pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products u201cready-to-useu201d by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, weu2019ll trust you to:**
Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**Youu2019ll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
Strong coding skills ideally in Python and experience with SQL for data querying
Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
3
Senior Data Management Professional - Data Science - Data Management Lab
London, London
Bloomberg
Posted 19 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Science - Data Management Lab
Location
London
Business Area
Data
Ref #
10043689
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! We're responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Data's pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use" by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, we'll trust you to:**
+ Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
+ Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
+ Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
+ Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
+ Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
+ Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**You'll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
+ A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
+ 3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
+ Strong coding skills ideally in Python and experience with SQL for data querying
+ Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
+ Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
+ Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
+ Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
10043689
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! We're responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Data's pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use" by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, we'll trust you to:**
+ Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
+ Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
+ Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
+ Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
+ Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
+ Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**You'll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
+ A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
+ 3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
+ Strong coding skills ideally in Python and experience with SQL for data querying
+ Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
+ Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
+ Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
+ Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
4
Data Management Specialist
London, London
Hays
Posted 1 day ago
Job Viewed
Job Description
Data Management Specialist
Until Jan 2026
London
Hybrid
Inside IR35
Your role
Are you passionate about how an organisation manages their data?
Would you like to support advancing the enterprise data management objectives aligned to business objectives?
Can you work effectively with remote teams within a global organisation?
We are looking for a Business Analyst to:
- Work closely with Data Management, Business and IT teams to support development of the strategy and solution design for the Data Contracts capability
- Collaborate with Group Data Management Office (GDMO) colleagues, Business and IT teams to drive Data Contracts related capability enhancements (from requirements to implementation) using agile methodology
- Establish close partnership with business divisions and corporate functions - supporting them in Data Contracts adoption, and applying challenge if required to ensure GDMO standards and frameworks are adhered to
Your team
The Group Data Management Office (GDMO) is a global team of 300 people responsible for embedding a data management culture by advocating for our strategy and proactively challenging the way the firm works with data.
This role sits within the Data Contracts service area in the DataOps team within GDMO.
The Data Contracts team is responsible for efficient and effective governance over producer / consumer relationships, in relation to data. This includes the strategy, minimum standards, methodology, processes and tooling to support effective producer/consumer agreements on data transfers.
Your expertise
Required:
- Experience in Financial Services
- Proven track record working within a data related environment , particularly one involving business change delivery
- Proactive approach to managing workload, taking ownership of tasks and issues and seeing them through to completion within allotted timeframes
- Ability to effectively take concepts to pragmatic solutions
- Ability to apply a logical and detail-oriented analytical thought process to resolving issues
- Excellent written and verbal communication skills (presentation, interpersonal); Experience of distilling key messages for senior partners
- Attitude to challenge, influence and drive progress working with groups with differing priorities
- Team player attitude, comfortable working across a broad set of peers and as part of a distributed team
- Comfortable working in a fast-paced environment under tight timeframes
- Proficiency in Microsoft 365 tools (MS Office, SharePoint, OneDrive)
Desirable:
- Domain expertise in Financial Service areas (e.g. Investment Banking Private Banking, Wealth Management, Risk, Compliance, Finance, Operations)
- Expertise in Business Analysis, solution design and operating model definition
- Experience in implementing Data Contracts, Data Agreements or similar capability
- Familiarity with Enterprise Data Management Toolset (Collibra , DQIM, IDQ etc.)
- Working knowledge of data analytics tools and technology
- Working knowledge of data visualization tools (e.g. Tableau, Power BI)
This role is advertised Via Hays
SM250806
This advertiser has chosen not to accept applicants from your region.
5
Data Management Specialist
Hays
Posted 1 day ago
Job Viewed
Job Description
Data Management Specialist
Until Jan 2026
London
Hybrid
Inside IR35
Your role
Are you passionate about how an organisation manages their data?
Would you like to support advancing the enterprise data management objectives aligned to business objectives?
Can you work effectively with remote teams within a global organisation?
We are looking for a Business Analyst to:
- Work closely with Data Management, Business and IT teams to support development of the strategy and solution design for the Data Contracts capability
- Collaborate with Group Data Management Office (GDMO) colleagues, Business and IT teams to drive Data Contracts related capability enhancements (from requirements to implementation) using agile methodology
- Establish close partnership with business divisions and corporate functions - supporting them in Data Contracts adoption, and applying challenge if required to ensure GDMO standards and frameworks are adhered to
Your team
The Group Data Management Office (GDMO) is a global team of 300 people responsible for embedding a data management culture by advocating for our strategy and proactively challenging the way the firm works with data.
This role sits within the Data Contracts service area in the DataOps team within GDMO.
The Data Contracts team is responsible for efficient and effective governance over producer / consumer relationships, in relation to data. This includes the strategy, minimum standards, methodology, processes and tooling to support effective producer/consumer agreements on data transfers.
Your expertise
Required:
- Experience in Financial Services
- Proven track record working within a data related environment , particularly one involving business change delivery
- Proactive approach to managing workload, taking ownership of tasks and issues and seeing them through to completion within allotted timeframes
- Ability to effectively take concepts to pragmatic solutions
- Ability to apply a logical and detail-oriented analytical thought process to resolving issues
- Excellent written and verbal communication skills (presentation, interpersonal); Experience of distilling key messages for senior partners
- Attitude to challenge, influence and drive progress working with groups with differing priorities
- Team player attitude, comfortable working across a broad set of peers and as part of a distributed team
- Comfortable working in a fast-paced environment under tight timeframes
- Proficiency in Microsoft 365 tools (MS Office, SharePoint, OneDrive)
Desirable:
- Domain expertise in Financial Service areas (e.g. Investment Banking Private Banking, Wealth Management, Risk, Compliance, Finance, Operations)
- Expertise in Business Analysis, solution design and operating model definition
- Experience in implementing Data Contracts, Data Agreements or similar capability
- Familiarity with Enterprise Data Management Toolset (Collibra , DQIM, IDQ etc.)
- Working knowledge of data analytics tools and technology
- Working knowledge of data visualization tools (e.g. Tableau, Power BI)
This role is advertised Via Hays
SM250806
This advertiser has chosen not to accept applicants from your region.
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6
Data Management Intern
Westerham, South East
Bombardier
Posted 15 days ago
Job Viewed
Job Description
Bombardier's Business Aircraft London Service Centre in Biggin Hill is part of an award-winning network and is the flagship of Bombardier's European operation. This Base and Line Maintenance Centre is the fastest-growing Service Centre in Europe and the largest Business Aircraft OEM in the UK. The facility has the capabilities to perform an array of maintenance checks, modifications and upgrades all from this site. Only 14 miles from London, Bombardier's Biggin Hill Service Centre is ideally located to support operators in the UK region and beyond.
**What are your contributions to the team?**
- Collect, clean, and validate maintenance scheduling data from various sources.
- Maintain and update aircraft maintenance schedules in internal systems.
- Track aircraft maintenance milestones and flag potential scheduling conflicts or delays.
- Support the integration of data from maintenance management systems into scheduling tools.
- Maintain accurate records of aircraft downtime, hangar occupancy, and technician availability.
- Participate in daily scheduling meetings and document action items related to data updates.
- Assist in creating dashboards and reports to monitor progress, resource utilization, and turnaround times.
- Contribute to the development and testing of automated tools or scripts to streamline data entry and reporting.
- Prepare compliance reports and audit documentation related to maintenance scheduling.
- Monitor and report on key performance indicators (KPIs) such as turnaround time, schedule adherence, and resource utilization.
- Collaborate with IT or data teams to troubleshoot data access or integrity issues.
- Archive and retrieve historical maintenance and scheduling data for analysis and forecasting.
- Ensure data privacy and security protocols are followed in line with company and regulatory standards.
- Help document data management processes and suggest improvements for efficiency and accuracy
**How to thrive in this role?**
- Able to work on site from Monday - Friday (40 hours per week)
- Strong proficiency in Excel; familiarity with Power BI is a plus.
- Excellent attention to detail and organizational skills.
- Strong analytical and problem-solving abilities.
- Good communication skills and ability to work in a team-oriented environment.
- Interest in aviation or aircraft maintenance is desirable but not essential.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age immigration status, disability or other applicable legally protected Characteristics to apply.
Whether your candidacy is moving on to the next step of the hiring process or not, we will keep you informed by email or by phone.
Join us at ideas move people.
**Job** Data Management Intern
**Primary Location** Biggin Hill Service Center
**Organization** Bombardier Services (UK)
**Employee Status**
**Requisition** 8624 Data Management Intern
**What are your contributions to the team?**
- Collect, clean, and validate maintenance scheduling data from various sources.
- Maintain and update aircraft maintenance schedules in internal systems.
- Track aircraft maintenance milestones and flag potential scheduling conflicts or delays.
- Support the integration of data from maintenance management systems into scheduling tools.
- Maintain accurate records of aircraft downtime, hangar occupancy, and technician availability.
- Participate in daily scheduling meetings and document action items related to data updates.
- Assist in creating dashboards and reports to monitor progress, resource utilization, and turnaround times.
- Contribute to the development and testing of automated tools or scripts to streamline data entry and reporting.
- Prepare compliance reports and audit documentation related to maintenance scheduling.
- Monitor and report on key performance indicators (KPIs) such as turnaround time, schedule adherence, and resource utilization.
- Collaborate with IT or data teams to troubleshoot data access or integrity issues.
- Archive and retrieve historical maintenance and scheduling data for analysis and forecasting.
- Ensure data privacy and security protocols are followed in line with company and regulatory standards.
- Help document data management processes and suggest improvements for efficiency and accuracy
**How to thrive in this role?**
- Able to work on site from Monday - Friday (40 hours per week)
- Strong proficiency in Excel; familiarity with Power BI is a plus.
- Excellent attention to detail and organizational skills.
- Strong analytical and problem-solving abilities.
- Good communication skills and ability to work in a team-oriented environment.
- Interest in aviation or aircraft maintenance is desirable but not essential.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age immigration status, disability or other applicable legally protected Characteristics to apply.
Whether your candidacy is moving on to the next step of the hiring process or not, we will keep you informed by email or by phone.
Join us at ideas move people.
**Job** Data Management Intern
**Primary Location** Biggin Hill Service Center
**Organization** Bombardier Services (UK)
**Employee Status**
**Requisition** 8624 Data Management Intern
This advertiser has chosen not to accept applicants from your region.
7
Director, Data Management
Reading, South East
IQVIA
Posted 19 days ago
Job Viewed
Job Description
**PURPOSE**
Establish and lead a Data Management Support Office framework to drive quality, consistency and efficiencies across a DM FSP model at IQVIA. Where applicable, performs and oversees data management activities in order to provide high quality data that meets client/project needs. Ensures that data is processed and tracked in alignment with regulatory and quality standards.
**RESPONSIBILITIES**
+ Liaise with customer counterpart and internal LT to understand Data Management Support Office business requirements. Develop and execute plan to meet these requirements.
+ Provides direction and support to Data Management Support Office leads in each of the following areas:
+ Onboarding and Training - partnering with customer Learning team to manage and deliver customer onboarding materials, DM role-based curricula/compliance, Train the Trainer etc.
+ Lead Support Office - establish structures to embed customer process/system/standards knowledge and support the institution of new customer lead roles at IQVIA.
+ Continuous Process Improvement - assess impact of customer process changes/establish structure for managing new ideas/process issues with customer.
+ Demand and capacity management.
+ Quality - managing QI investigations and CAPAs; eTMF Compliance.
+ KPI Reporting and Management
+ Provide strategic direction in the Data Management area.
+ Consolidate resource requirements and define staffing needs that ensure project objectives can be met while maximizing utilization, realization and minimizing costs.
+ Monitor and manage utilization and productivity. Ensure performance of staff is regularly assessed and documented. Define staffing needs based on hard backlog and strategic plan for office.
+ Define and implement department objectives consistent with broader office and regional objectives. Provide technical advice and solutions to solve problems and improve efficiency across functions, projects and customers.
+ Monitor quality and efficiency across projects to identify trends and opportunities for improvements. Ensure sharing of learning across projects and departments.
+ Participate in defining strategies for new processes and technology at either regional or global level. Ensure that staff is trained and compliant with current operating procedures and work instructions and project scope of work.
+ Work with peers within office and regions to define and implement training strategies. Mentor staff members to develop Data Management, drug development and business expertise.
+ Manage relationship with customer functional peers. Provide operational input into proposals for large programs and strategic partnerships. Provide input to costing algorithms and standard proposal text.
+ Attend customer meetings and lead discussions of project requirements and strategic planning. Recommend placement of projects based on staffing levels and hard backlog, technology requirements and customer relationships. Ensure compliance of work with project's scope of work.
+ Actively assess and manage project realization. Ensure project milestones are met according to agree upon timelines with high quality. May serve as a Data Management Customer Liaison for one or more customers. Manage staff in accordance with organization's policies and applicable regulations.
+ Responsibilities include planning, assigning, and directing work, appraising performance, and guiding professional development rewarding and disciplining employees, addressing employee relations issues and resolving problems. Approve actions on human resources matters.
+ May manage a Data Management Department, which could be either all data management staff at an office or a subset of staff (80-120) within a large Data Management office.
**REQUIRED KNOWLEDGE, SKILLS AND ABILITIES**
+ Advanced knowledge of Data Management processes and systems, including new technologies
+ Solid understanding of clinical drug development process and production of DM deliverables
+ Strategic leadership ability
+ Knowledge of business processes
+ Strong business acumen; financial management and budgeting skills.
+ Proven ability to work on multiple projects and manage competing priorities
+ Proven staff management skills, strong leadership, motivational and influencing skills.
+ Outstanding written and oral communication skills
+ Proven leadership skills
+ Outstanding problem-solving skills
+ Excellent interpersonal skills
+ Excellent organizational skills and demonstrated ability to delegate appropriately and monitor quality of outputs
+ Outstanding negotiation, decision-making and problem-solving skills.
+ Ability to establish and maintain effective working relationships with co-workers, managers and clients.
**MINIMUM REQUIRED EDUCATION AND EXPERIENCE**
- Bachelor's degree, or educational equivalence, in clinical, biological or mathematical sciences or related field, or nursing
qualification with 12 years of relevant work experience including substantial people management experience; or
equivalent combination of education, training and experience
**PHYSICIAL REQUIREMENTS**
- Extensive use of telephone and face-to-face communication requiring accurate perception of speech
- Extensive use of keyboard requiring repetitive motion of fingers
- Regular sitting for extended periods of time
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.
To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
EEO Minorities/Females/Protected Veterans/Disabled
Establish and lead a Data Management Support Office framework to drive quality, consistency and efficiencies across a DM FSP model at IQVIA. Where applicable, performs and oversees data management activities in order to provide high quality data that meets client/project needs. Ensures that data is processed and tracked in alignment with regulatory and quality standards.
**RESPONSIBILITIES**
+ Liaise with customer counterpart and internal LT to understand Data Management Support Office business requirements. Develop and execute plan to meet these requirements.
+ Provides direction and support to Data Management Support Office leads in each of the following areas:
+ Onboarding and Training - partnering with customer Learning team to manage and deliver customer onboarding materials, DM role-based curricula/compliance, Train the Trainer etc.
+ Lead Support Office - establish structures to embed customer process/system/standards knowledge and support the institution of new customer lead roles at IQVIA.
+ Continuous Process Improvement - assess impact of customer process changes/establish structure for managing new ideas/process issues with customer.
+ Demand and capacity management.
+ Quality - managing QI investigations and CAPAs; eTMF Compliance.
+ KPI Reporting and Management
+ Provide strategic direction in the Data Management area.
+ Consolidate resource requirements and define staffing needs that ensure project objectives can be met while maximizing utilization, realization and minimizing costs.
+ Monitor and manage utilization and productivity. Ensure performance of staff is regularly assessed and documented. Define staffing needs based on hard backlog and strategic plan for office.
+ Define and implement department objectives consistent with broader office and regional objectives. Provide technical advice and solutions to solve problems and improve efficiency across functions, projects and customers.
+ Monitor quality and efficiency across projects to identify trends and opportunities for improvements. Ensure sharing of learning across projects and departments.
+ Participate in defining strategies for new processes and technology at either regional or global level. Ensure that staff is trained and compliant with current operating procedures and work instructions and project scope of work.
+ Work with peers within office and regions to define and implement training strategies. Mentor staff members to develop Data Management, drug development and business expertise.
+ Manage relationship with customer functional peers. Provide operational input into proposals for large programs and strategic partnerships. Provide input to costing algorithms and standard proposal text.
+ Attend customer meetings and lead discussions of project requirements and strategic planning. Recommend placement of projects based on staffing levels and hard backlog, technology requirements and customer relationships. Ensure compliance of work with project's scope of work.
+ Actively assess and manage project realization. Ensure project milestones are met according to agree upon timelines with high quality. May serve as a Data Management Customer Liaison for one or more customers. Manage staff in accordance with organization's policies and applicable regulations.
+ Responsibilities include planning, assigning, and directing work, appraising performance, and guiding professional development rewarding and disciplining employees, addressing employee relations issues and resolving problems. Approve actions on human resources matters.
+ May manage a Data Management Department, which could be either all data management staff at an office or a subset of staff (80-120) within a large Data Management office.
**REQUIRED KNOWLEDGE, SKILLS AND ABILITIES**
+ Advanced knowledge of Data Management processes and systems, including new technologies
+ Solid understanding of clinical drug development process and production of DM deliverables
+ Strategic leadership ability
+ Knowledge of business processes
+ Strong business acumen; financial management and budgeting skills.
+ Proven ability to work on multiple projects and manage competing priorities
+ Proven staff management skills, strong leadership, motivational and influencing skills.
+ Outstanding written and oral communication skills
+ Proven leadership skills
+ Outstanding problem-solving skills
+ Excellent interpersonal skills
+ Excellent organizational skills and demonstrated ability to delegate appropriately and monitor quality of outputs
+ Outstanding negotiation, decision-making and problem-solving skills.
+ Ability to establish and maintain effective working relationships with co-workers, managers and clients.
**MINIMUM REQUIRED EDUCATION AND EXPERIENCE**
- Bachelor's degree, or educational equivalence, in clinical, biological or mathematical sciences or related field, or nursing
qualification with 12 years of relevant work experience including substantial people management experience; or
equivalent combination of education, training and experience
**PHYSICIAL REQUIREMENTS**
- Extensive use of telephone and face-to-face communication requiring accurate perception of speech
- Extensive use of keyboard requiring repetitive motion of fingers
- Regular sitting for extended periods of time
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.
To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
EEO Minorities/Females/Protected Veterans/Disabled
This advertiser has chosen not to accept applicants from your region.
8
Senior Data Management Professional - Data Engineering
London, London
Bloomberg
Posted 20 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Engineering
Location
London
Business Area
Data
Ref #
10044247
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock u2013 from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.
**Our Team:**
The Bloomberg Data AI group brings innovative AI technologies into Bloombergu2019s Data organization while supplying deep financial domain expertise to the development of AI-powered products. We partner closely with team members to align AI innovation with Bloombergu2019s strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that improve the capabilities and competitiveness of Bloombergu2019s offerings.
**What's the Role?**
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
**Weu2019ll trust you to:**
Build strategies to analyze processes and data engineering questions to ensure our datasets are fit-for-purpose.
Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project coordinator.
Collaborate on database schema design and configure ETL pipelines to onboard new data sets.
Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
Review and further improve annotation guidelines, and promote the development of standard processes in data annotation.
Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
Lead on problem-solving to resolve sophisticated annotation challenges and ensure data quality.
Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
**Youu2019ll need to have:**
*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
A bacheloru2019s degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
A minimum of four years of demonstrable experience in data management concepts such as data engineering, data quality and data modeling.
Demonstrable experience in Data Profiling/Analysis/Engineering using tools such as SQL and Python or R.
Experience using data visualization tools such as Tableau, Qlik Sense or Splunk.
Past projects that involved owning financial datasets, or other demonstrable work with financial-market concepts.
Proficiency in discussing technical concepts and experience evaluating trade-offs in design with Engineering and Product.
Extensive experience in communicating results in a clear, concise manner using data visualization tools.
Consistent track record in taking a logical approach and applying critical thinking skills in order to address problems.
**Weu2019d Love to See:**
DAMA CDMP or DCAM certifications.
Keen interest and familiarity with generative AI frameworks.
Understanding of the importance of high quality annotations.
Experience in using Bloomberg Data, Bloomberg Terminal, and/or enterprise financial data products.
Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know next steps!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
10044247
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock u2013 from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.
**Our Team:**
The Bloomberg Data AI group brings innovative AI technologies into Bloombergu2019s Data organization while supplying deep financial domain expertise to the development of AI-powered products. We partner closely with team members to align AI innovation with Bloombergu2019s strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that improve the capabilities and competitiveness of Bloombergu2019s offerings.
**What's the Role?**
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
**Weu2019ll trust you to:**
Build strategies to analyze processes and data engineering questions to ensure our datasets are fit-for-purpose.
Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project coordinator.
Collaborate on database schema design and configure ETL pipelines to onboard new data sets.
Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
Review and further improve annotation guidelines, and promote the development of standard processes in data annotation.
Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
Lead on problem-solving to resolve sophisticated annotation challenges and ensure data quality.
Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
**Youu2019ll need to have:**
*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
A bacheloru2019s degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
A minimum of four years of demonstrable experience in data management concepts such as data engineering, data quality and data modeling.
Demonstrable experience in Data Profiling/Analysis/Engineering using tools such as SQL and Python or R.
Experience using data visualization tools such as Tableau, Qlik Sense or Splunk.
Past projects that involved owning financial datasets, or other demonstrable work with financial-market concepts.
Proficiency in discussing technical concepts and experience evaluating trade-offs in design with Engineering and Product.
Extensive experience in communicating results in a clear, concise manner using data visualization tools.
Consistent track record in taking a logical approach and applying critical thinking skills in order to address problems.
**Weu2019d Love to See:**
DAMA CDMP or DCAM certifications.
Keen interest and familiarity with generative AI frameworks.
Understanding of the importance of high quality annotations.
Experience in using Bloomberg Data, Bloomberg Terminal, and/or enterprise financial data products.
Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know next steps!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
9