410 Data Science Management jobs in the United Kingdom
Senior Data Management Professional - Data Science - Data Management Lab
London, London
Bloomberg
Posted 17 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Science - Data Management Lab
Location
London
Business Area
Data
Ref #
**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 #
**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.
0
Senior Data Management Professional - Data Science - Data Management Lab
London, London
Bloomberg
Posted 17 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Science - Data Management Lab
Location
London
Business Area
Data
Ref #
**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 #
**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.
1
Senior Data Management Professional - Data Science - Data Management Lab
London, London
Bloomberg
Posted 16 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Science - Data Management Lab
Location
London
Business Area
Data
Ref #
**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 #
**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.
2
Data Analysis and Validation Associate
Pirbright, South East
CK Group- Science, Clinical and Technical
Posted 14 days ago
Job Viewed
Job Description
CK Group are recruiting for a Data Analysis and Validation Associate to join a global animal health company on a contract basis for 12 months.
Salary:
147.90 per day PAYE
Data Analysis and Validation Associate role:
Your Background :
Company:
Our client is a leading manufacturer of vaccines, parasiticides and pharmaceuticals to protect animals. They are also one of the fastest growing animal health companies in the UK.
Location:
This role is based at our clients site near Pirbright.
Apply:
For more information, or to apply for this Data Analysis and Validation Associate role, please contact the Key Accounts Team on (phone number removed) or email (url removed). Please quote reference (Apply online only).
It is essential that applicants hold entitlement to work in the UK
Please note: This role may be subject to a satisfactory basic Disclosure and Barring Service (DBS) check.
INDKA
Salary:
147.90 per day PAYE
Data Analysis and Validation Associate role:
- Responsible for data analysis, entry and Validation related activities across the Pirbright manufacturing facility, to enable the large scale production of FMD and BTV antigen and finished product in a timely and cost effective manner.
- Analyse production data to identify trends, deviations, and performance metrics.
- Assist in the execution of cleaning validation protocols in line with GMP requirements.
- Bring in SQL / Power BI approaches to improve the site approach to data.
- Support sampling, documentation, and coordination of validation activities.
Your Background :
- GMP experience is essential
- Have a scientific or engineering discipline degree (e.g., Biochemistry, Biotechnology, Chemical Engineering, Pharmaceutical Sciences).
- Understanding of cleaning validation principles and documentation practices.
- Experience with data handling and analytics
- Knowledge of HSE, bio-safety standards, GMP regulations as well as main tools and principles of operational excellence
Company:
Our client is a leading manufacturer of vaccines, parasiticides and pharmaceuticals to protect animals. They are also one of the fastest growing animal health companies in the UK.
Location:
This role is based at our clients site near Pirbright.
Apply:
For more information, or to apply for this Data Analysis and Validation Associate role, please contact the Key Accounts Team on (phone number removed) or email (url removed). Please quote reference (Apply online only).
It is essential that applicants hold entitlement to work in the UK
Please note: This role may be subject to a satisfactory basic Disclosure and Barring Service (DBS) check.
INDKA
This advertiser has chosen not to accept applicants from your region.
3
Data Analysis and Validation Associate
Pirbright, South East
CK Group- Science, Clinical and Technical
Posted 14 days ago
Job Viewed
Job Description
CK Group are recruiting for a Data Analysis and Validation Associate to join a global animal health company on a contract basis for 12 months.
Salary:
147.90 per day PAYE
Data Analysis and Validation Associate role:
Your Background :
Company:
Our client is a leading manufacturer of vaccines, parasiticides and pharmaceuticals to protect animals. They are also one of the fastest growing animal health companies in the UK.
Location:
This role is based at our clients site near Pirbright.
Apply:
For more information, or to apply for this Data Analysis and Validation Associate role, please contact the Key Accounts Team on (phone number removed) or email (url removed). Please quote reference (Apply online only).
It is essential that applicants hold entitlement to work in the UK
Please note: This role may be subject to a satisfactory basic Disclosure and Barring Service (DBS) check.
INDKA
Salary:
147.90 per day PAYE
Data Analysis and Validation Associate role:
- Responsible for data analysis, entry and Validation related activities across the Pirbright manufacturing facility, to enable the large scale production of FMD and BTV antigen and finished product in a timely and cost effective manner.
- Analyse production data to identify trends, deviations, and performance metrics.
- Assist in the execution of cleaning validation protocols in line with GMP requirements.
- Bring in SQL / Power BI approaches to improve the site approach to data.
- Support sampling, documentation, and coordination of validation activities.
Your Background :
- GMP experience is essential
- Have a scientific or engineering discipline degree (e.g., Biochemistry, Biotechnology, Chemical Engineering, Pharmaceutical Sciences).
- Understanding of cleaning validation principles and documentation practices.
- Experience with data handling and analytics
- Knowledge of HSE, bio-safety standards, GMP regulations as well as main tools and principles of operational excellence
Company:
Our client is a leading manufacturer of vaccines, parasiticides and pharmaceuticals to protect animals. They are also one of the fastest growing animal health companies in the UK.
Location:
This role is based at our clients site near Pirbright.
Apply:
For more information, or to apply for this Data Analysis and Validation Associate role, please contact the Key Accounts Team on (phone number removed) or email (url removed). Please quote reference (Apply online only).
It is essential that applicants hold entitlement to work in the UK
Please note: This role may be subject to a satisfactory basic Disclosure and Barring Service (DBS) check.
INDKA
This advertiser has chosen not to accept applicants from your region.
4
Data Analysis Bootcamp (Hiring Immediately)
N1 2UD Islington, London
ITonlinelearning Recruitment
Posted today
Job Viewed
Job Description
Data Analyst Course Programme Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as 142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: 28,000 38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.
This advertiser has chosen not to accept applicants from your region.
5
Remote Graduate Trainee - Data Analysis
L1 1AA Liverpool, North West
£25000 annum (pro
WhatJobs
Posted today
Job Viewed
Job Description
Our client is offering an exceptional opportunity for motivated graduates to join their organisation as Remote Graduate Trainees in Data Analysis. This is a fully remote, structured training program designed to equip enthusiastic individuals with the essential skills and knowledge required to excel in the field of data analysis. You will gain hands-on experience working with real-world datasets, learning to extract meaningful insights, and contributing to data-driven decision-making across various business functions.
This program is ideal for recent graduates with a strong quantitative background and a keen interest in data. You will receive comprehensive training in data manipulation, statistical analysis, data visualisation, and relevant software tools such as SQL, Python, and R. Mentorship from experienced data professionals will guide your development, providing practical support and career advice. The role demands a high level of analytical thinking, problem-solving skills, and a meticulous attention to detail. As a remote trainee, you will need to demonstrate strong self-discipline, excellent time management, and effective communication skills to collaborate with your cohort and supervisors. This internship offers a fantastic foundation for a career in data science, business intelligence, or related analytical fields, providing valuable industry experience from the outset.
Key Responsibilities:
This program is ideal for recent graduates with a strong quantitative background and a keen interest in data. You will receive comprehensive training in data manipulation, statistical analysis, data visualisation, and relevant software tools such as SQL, Python, and R. Mentorship from experienced data professionals will guide your development, providing practical support and career advice. The role demands a high level of analytical thinking, problem-solving skills, and a meticulous attention to detail. As a remote trainee, you will need to demonstrate strong self-discipline, excellent time management, and effective communication skills to collaborate with your cohort and supervisors. This internship offers a fantastic foundation for a career in data science, business intelligence, or related analytical fields, providing valuable industry experience from the outset.
Key Responsibilities:
- Assist in collecting, cleaning, and processing large datasets.
- Perform data analysis to identify trends, patterns, and insights.
- Develop data visualisations and reports to communicate findings.
- Support senior analysts in various data-related projects.
- Learn and apply statistical methods and analytical techniques.
- Gain proficiency in data analysis tools and software (SQL, Python, R).
- Collaborate with team members in a remote setting.
- Contribute to documentation and knowledge sharing.
- Participate actively in training sessions and workshops.
- Help to ensure data accuracy and integrity.
- Recent graduate with a degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics, Engineering).
- Strong analytical and problem-solving abilities.
- Aptitude for working with numbers and data.
- Basic understanding of statistical concepts is beneficial.
- Familiarity with programming languages like Python or R is a plus.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively.
- Strong attention to detail.
- Enthusiasm for learning and developing data analysis skills.
- Access to a reliable internet connection for remote work.
This advertiser has chosen not to accept applicants from your region.
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6
Lead Forensic Accountant - Data Analysis
EH1 1 Edinburgh, Scotland
£70000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client, a prominent forensic accounting and litigation support firm, is seeking an experienced Lead Forensic Accountant with a strong focus on data analysis to join their fully remote team. This exciting role allows you to leverage advanced analytical techniques and technology to investigate financial fraud, disputes, and irregularities from anywhere in the UK. You will be a key player in unearthing critical financial evidence and providing expert insights to legal teams and corporate clients, all while enjoying the flexibility of remote work.
The Lead Forensic Accountant will be responsible for designing and executing complex data analysis projects to identify patterns, anomalies, and evidence of financial misconduct. This includes data extraction, cleansing, analysis, and visualization using specialized forensic accounting software and tools. You will prepare detailed reports, conduct expert witness testimony, and advise clients on risk mitigation strategies. A deep understanding of accounting principles, fraud schemes, and data analytics methodologies is crucial. Exceptional communication and presentation skills are required to effectively convey complex findings to diverse audiences, including non-technical stakeholders.
Key responsibilities include:
The ideal candidate will hold a professional accounting qualification (e.g., ACA, ACCA, CPA) and possess a minimum of 7 years of experience in forensic accounting, with a significant emphasis on data analysis and digital forensics. Proficiency in data analytics tools and databases is essential. Strong analytical, critical thinking, and problem-solving skills are paramount. Excellent written and verbal communication skills, including experience with expert witness testimony, are required. As this is a fully remote position, candidates must demonstrate strong self-management, organization, and communication skills. The role is technically affiliated with our office in Edinburgh, Scotland, UK , but performed entirely remotely.
The Lead Forensic Accountant will be responsible for designing and executing complex data analysis projects to identify patterns, anomalies, and evidence of financial misconduct. This includes data extraction, cleansing, analysis, and visualization using specialized forensic accounting software and tools. You will prepare detailed reports, conduct expert witness testimony, and advise clients on risk mitigation strategies. A deep understanding of accounting principles, fraud schemes, and data analytics methodologies is crucial. Exceptional communication and presentation skills are required to effectively convey complex findings to diverse audiences, including non-technical stakeholders.
Key responsibilities include:
- Leading forensic accounting investigations involving large and complex datasets.
- Developing and applying data analytics techniques to detect fraud, money laundering, and other financial irregularities.
- Utilizing forensic accounting software and data visualization tools (e.g., ACL, IDEA, Tableau) for analysis and reporting.
- Performing detailed financial analysis to quantify economic damages and support litigation.
- Extracting, transforming, and analyzing data from various sources, including accounting systems and databases.
- Preparing comprehensive forensic reports and executive summaries.
- Serving as an expert witness in legal proceedings, presenting findings clearly and effectively.
- Collaborating with legal counsel and clients to understand investigative objectives and requirements.
- Mentoring and guiding junior forensic accountants and analysts.
- Staying current with emerging trends in data analytics, cybersecurity, and forensic accounting.
The ideal candidate will hold a professional accounting qualification (e.g., ACA, ACCA, CPA) and possess a minimum of 7 years of experience in forensic accounting, with a significant emphasis on data analysis and digital forensics. Proficiency in data analytics tools and databases is essential. Strong analytical, critical thinking, and problem-solving skills are paramount. Excellent written and verbal communication skills, including experience with expert witness testimony, are required. As this is a fully remote position, candidates must demonstrate strong self-management, organization, and communication skills. The role is technically affiliated with our office in Edinburgh, Scotland, UK , but performed entirely remotely.
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7
Lead Bioinformatician - Genomics Data Analysis
BD7 1AF Bradford, Yorkshire and the Humber
£70000 Annually
WhatJobs
Posted 6 days ago
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Job Description
We are looking for an experienced Lead Bioinformatician to join our cutting-edge research and development team. This is a fully remote position, offering a unique opportunity to contribute to significant scientific advancements from anywhere in the UK. You will be instrumental in designing, developing, and implementing robust bioinformatics pipelines for the analysis of large-scale genomic datasets. Your expertise will drive insights in areas such as disease research, drug discovery, and personalised medicine. Our client is committed to pushing the boundaries of scientific knowledge and seeks individuals who share this passion.
Responsibilities:
Responsibilities:
- Lead the design, development, implementation, and maintenance of scalable bioinformatics pipelines for next-generation sequencing (NGS) data analysis (e.g., WGS, WES, RNA-Seq).
- Analyse and interpret complex genomic and transcriptomic datasets to identify genetic variants, gene expression patterns, and other biologically relevant insights.
- Collaborate closely with biologists, geneticists, clinicians, and computational scientists to define project goals and analytical strategies.
- Develop and apply statistical and machine learning methods for genomic data analysis.
- Ensure the quality, reproducibility, and documentation of all bioinformatics analyses and workflows.
- Stay abreast of the latest advancements in bioinformatics, genomics, and related computational fields.
- Mentor and guide junior bioinformaticians and data analysts.
- Contribute to research proposals, grant applications, and publications.
- Manage data storage, processing, and computational resources effectively.
- Present findings to scientific teams and external collaborators.
- PhD in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related quantitative field.
- Minimum of 6 years of post-doctoral or industry experience in bioinformatics, with a strong focus on genomics data analysis.
- Extensive experience with NGS data processing and analysis pipelines (e.g., BWA, GATK, STAR, Salmon).
- Proficiency in programming languages such as Python, R, and shell scripting.
- Strong knowledge of statistical methods and machine learning techniques applicable to genomics.
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Singularity) is highly desirable.
- Proven ability to manage complex projects and lead a small team.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with a track record of publications.
- Ability to work independently and collaboratively in a remote research environment.
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8
Data Analysis Engineer - SOX Algorithm
Warwick, West Midlands
Tata Technologies Europe Ltd
Posted 1 day ago
Job Viewed
Job Description
At Tata Technologies we make product development dreams a reality by designing, engineering and validating the products of tomorrow for the worlds leading manufacturers. Due to our continued growth we are now recruiting for a Data Analysis Engineer SOX Algorithm to be based at our customers site in Gaydon .
Our Embedded Systems Solutions department (ESS) encompasses all activities outlined under th.
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