196 Data Modeling jobs in the United Kingdom

Our client, a leading innovator in the financial services sector, is seeking a highly skilled Senior Data Scientist to enhance their predictive modeling capabilities. Based in Leicester, Leicestershire, UK , this hybrid role offers the opportunity to blend remote work convenience with essential in-office collaboration. You will be instrumental in developing, implementing, and validating sophisticated data models for financial forecasting, risk assessment, and strategic decision-making. Leveraging advanced statistical techniques and machine learning algorithms, you will drive data-driven insights across the organization.

Responsibilities:

• Design, develop, and deploy advanced statistical and machine learning models for financial applications such as credit scoring, fraud detection, risk management, and customer analytics.
• Clean, process, and transform large datasets from various sources to prepare them for modeling.
• Conduct exploratory data analysis to identify patterns, trends, and insights.
• Validate model performance and continuously iterate to improve accuracy and efficiency.
• Collaborate with business stakeholders, including finance, marketing, and product teams, to understand their needs and translate them into data science solutions.
• Communicate complex findings and model results clearly and concisely to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and AI.
• Contribute to the development of data governance and best practices within the organization.
• Mentor junior data scientists and contribute to team knowledge sharing.
• Ensure model explainability and adherence to regulatory requirements in the financial industry.

Qualifications:

• Master's or PhD in Data Science, Statistics, Mathematics, Computer Science, Finance, or a related quantitative field.
• Minimum of 5 years of professional experience as a Data Scientist, with a strong focus on financial modeling and analytics.
• Expertise in programming languages such as Python or R, and proficiency with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).
• Hands-on experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) and techniques.
• Strong understanding of statistical modeling, hypothesis testing, and experimental design.
• Experience with SQL and working with relational databases; familiarity with big data technologies (e.g., Spark) is a plus.
• Excellent problem-solving skills and the ability to think critically.
• Exceptional communication and presentation skills, with the ability to convey technical concepts effectively.
• Proven ability to work collaboratively in a hybrid team environment.
• Knowledge of financial products, markets, and regulations is highly desirable.

This is an exciting opportunity for a driven data professional to apply their expertise in a challenging and impactful role within the dynamic financial sector.

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





Location





London





Business Area





Data





Ref #










**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 #










**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 #

**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

Our client, a leading global investment

Data Governance Analyst

£50,000 + benefits

Hybrid – 2 days per week onsite (North West)

We’re working with a well-established organisation in the healthcare sector that is investing in its data capability and building out its data governance approach from the ground up.

This is a newly created role for someone who’s ready to own data governance across the business not from a distance, but by getting hands-on, engaging stakeholders, and helping teams make better decisions with more trustworthy data.

You’ll work closely with the Head of Data & Analytics and colleagues across operations, finance, and supply chain to embed governance into day-to-day processes and define what good looks like.

What you’ll be doing:

• Map out current data usage, identify ownership gaps, and propose practical solutions
• Define and embed data ownership, stewardship roles, and business glossaries
• Support the improvement of data quality through guidance, documentation, and collaboration
• Help teams adopt consistent definitions, fix duplication and inconsistency issues
• Provide clear, accessible governance documentation and be a go-to resource for stakeholders
• Engage widely across the business to build trust, increase adoption, and embed data accountability

What we’re looking for:

• Hands-on experience with data governance, data quality, or data stewardship (e.g. from an analyst, data coordinator, or governance role)
• Strong communication and relationship-building skills – someone confident engaging with stakeholders and helping them understand the value of governance
• A mindset that balances structure with flexibility – this isn’t a policy-heavy role, it’s about getting things done
• Any experience with Power BI, SQL, or Microsoft Purview is helpful, but not essential

Why apply?

• You’ll have ownership of the governance agenda, with backing from senior leadership
• It’s a chance to shape data practices in a business that wants to modernise how it uses information
• Hybrid working – with 2 days a week onsite in the North West
• A practical, hands-on role where your communication skills are just as important as your data knowledge

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

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