175 Data Modeling jobs in the United Kingdom

Senior Data Management Professional - Data Product Owner, Semantic Modeling - Company Financials





Location





London





Business Area





Data





Ref #





10041175




**Description & Requirements**



Bloomberg runs on data, and in Data we're responsible for acquiring and providing it to our clients. We collect, model, analyze, and publish data which is the backbone of the Bloomberg Terminal. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement solutions to enhance our systems, products and processes- all while delivering advanced insights to our clients. Weu2019re responsible for delivering this data, news and analytics through innovative technology - quickly and accurately.



**Our Team:**



The Company Financials (CoFi) Data team designs and builds company analysis tools for the Bloomberg Terminal. This includes marquee applications on Bloomberg terminal which supports data related to financial analysis, analyst recommendations, and earnings estimates. The team is responsible for tracking the evolution of data points from data processing to database taxonomy as well as API syntax design and front-end application development.



What's the role?



You will be responsible for defining, articulating and leading the implementation of the product vision and strategy for our metadata discovery layer. You will partner with product managers to identify commercial targets and define the use cases to be pursued and prioritized. You will act as the main point of contact between our product and data teams to improve our company financials taxonomy and data model, ensuring a consistent experience for our clients across all delivery methods. While collaborating closely with our data modelers, ontologists and domain subject matter experts, you will design the knowledge graph structure in order to support client needs while enriching the metadata available in the semantic layer and API layer.



**Weu2019ll trust you to:**


Maintain and evolve a roadmap for the discovery layer of the Company Financials products
Partner with Product, Engineering and Data to ensure deliverables are well defined and detailed, and align with the overall business goals
Drive product development, build and analyze metrics to measure business impact and success
Prioritize and balance resources across teams
Communicate progress effectively with stakeholders at all levels
Stay on top of the competitive environment and client trends



**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.


4+ years of Product Manager experience bringing sophisticated products to market*
Knowledge of how company financials data is used by different financial market players
Proven skills in designing systems for data modelling and semantic modelling
Technical proficiency in being comfortable discussing technical concepts and experience evaluating trade-offs in design with Engineering, CTO, and Product



**Weu2019d love to see:**


Experience operating in an Agile environment
Bacheloru2019s, Masteru2019s, or PhD in a STEM field, Economics, or Finance



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

Senior Data Management Professional - Data Product Owner, Semantic Modeling - Company Financials
Location
London
Business Area
Data
Ref #
10041175
**Description & Requirements**
Bloomberg runs on data, and in Data we're responsible for acquiring and providing it to our clients. We collect, model, analyze, and publish data which is the backbone of the Bloomberg Terminal. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement solutions to enhance our systems, products and processes- all while delivering advanced insights to our clients. We're responsible for delivering this data, news and analytics through innovative technology - quickly and accurately.
**Our Team:**
The Company Financials (CoFi) Data team designs and builds company analysis tools for the Bloomberg Terminal. This includes marquee applications on Bloomberg terminal which supports data related to financial analysis, analyst recommendations, and earnings estimates. The team is responsible for tracking the evolution of data points from data processing to database taxonomy as well as API syntax design and front-end application development.
What's the role?
You will be responsible for defining, articulating and leading the implementation of the product vision and strategy for our metadata discovery layer. You will partner with product managers to identify commercial targets and define the use cases to be pursued and prioritized. You will act as the main point of contact between our product and data teams to improve our company financials taxonomy and data model, ensuring a consistent experience for our clients across all delivery methods. While collaborating closely with our data modelers, ontologists and domain subject matter experts, you will design the knowledge graph structure in order to support client needs while enriching the metadata available in the semantic layer and API layer.
**We'll trust you to:**
+ Maintain and evolve a roadmap for the discovery layer of the Company Financials products
+ Partner with Product, Engineering and Data to ensure deliverables are well defined and detailed, and align with the overall business goals
+ Drive product development, build and analyze metrics to measure business impact and success
+ Prioritize and balance resources across teams
+ Communicate progress effectively with stakeholders at all levels
+ Stay on top of the competitive environment and client trends
**You'll 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.
+ 4+ years of Product Manager experience bringing sophisticated products to market*
+ Knowledge of how company financials data is used by different financial market players
+ Proven skills in designing systems for data modelling and semantic modelling
+ Technical proficiency in being comfortable discussing technical concepts and experience evaluating trade-offs in design with Engineering, CTO, and Product
**We'd love to see:**
+ Experience operating in an Agile environment
+ Bachelor's, Master's, or PhD in a STEM field, Economics, or Finance
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

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

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

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

**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

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

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

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