26 to 50 of 220 Predictive Modelling Jobs in the UK

key performance and operational metrics. Deliver actionable insights through claims portfolio and operational analytics to inform underwriting and process improvement. Partner with in-house data science teams to develop predictive models and advanced analytics tools. Collaborate with underwriting, actuarial, and claims operations teams to enhance MI reporting and KPI dashboards. Ensure robust data governance and integrity across all claims More ❯

with GDPR, ISO 27001 , and security best practices. Partner with Finance, Marketing, IT, and Operations to integrate data solutions into business strategy. Drive AI and machine learning initiatives , building predictive models to improve operational efficiency. Mentor and lead a high-performing team, fostering a culture of continuous improvement and innovation. Key Skills & Experience: Expertise in cloud platforms (Azure) and More ❯

a skilled Data Scientist to join our dynamic team on a contract basis. You will work closely with cross-functional teams to extract actionable insights from complex datasets, build predictive models, and support data-driven decision-making. This is a hybrid role, offering flexibility while being actively involved in the London office. Key Responsibilities Analyze large, structured and unstructured … datasets to identify patterns and trends. Develop, validate, and deploy predictive models using machine learning and statistical techniques. Translate business requirements into technical solutions and actionable insights. Collaborate with business stakeholders, data engineers, and analysts to support analytics initiatives. Create dashboards, reports, and visualizations to communicate insights to non-technical stakeholders. Ensure data quality, integrity, and security throughout the … role. Strong programming skills in Python, R, or SQL . Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch . Solid understanding of statistics, predictive modeling, and data mining techniques. Experience with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn . Familiarity with cloud platforms (AWS, Azure, GCP) is a More ❯

insights that directly influence commercial, operational, and energy strategies. The Role As Data Scientist , you'll act as the analytical lead across the business - tackling forecasting, pricing, and data modelling projects to support commercial, operations, energy, and marketing teams.You'll help answer key strategic questions, such as: How should we price energy dynamically across the day? What patterns exist … charging behaviour? How can we use data to drive operational efficiency and profitability? This is a hands-on analytical role , ideal for someone who enjoys statistical problem-solving, building predictive models, and presenting clear insights that drive action - but not a pure machine learning role . Key Responsibilities Develop and maintain forecasting and pricing models Support business teams with … actionable insights and data storytelling Analyse large data sets in Snowflake/AWS using SQL and Python Apply statistical techniques (segmentation, regression, predictive modelling) Partner with stakeholders to translate business questions into data-driven answers About You Strong experience with SQL and Python (Jupyter Notebooks) Solid grounding in statistical analysis and forecasting methods Commercially minded - able to connect More ❯

insights that directly influence commercial, operational, and energy strategies. The Role As Data Scientist , you'll act as the analytical lead across the business - tackling forecasting, pricing, and data modelling projects to support commercial, operations, energy, and marketing teams. You'll help answer key strategic questions, such as: How should we price energy dynamically across the day? What patterns … charging behaviour? How can we use data to drive operational efficiency and profitability? This is a hands-on analytical role , ideal for someone who enjoys statistical problem-solving, building predictive models, and presenting clear insights that drive action - but not a pure machine learning role . Key Responsibilities Develop and maintain forecasting and pricing models Support business teams with … actionable insights and data storytelling Analyse large data sets in Snowflake/AWS using SQL and Python Apply statistical techniques (segmentation, regression, predictive modelling) Partner with stakeholders to translate business questions into data-driven answers About You Strong experience with SQL and Python (Jupyter Notebooks) Solid grounding in statistical analysis and forecasting methods Commercially minded - able to connect More ❯

insights that directly influence commercial, operational, and energy strategies. The Role As Data Scientist , you'll act as the analytical lead across the business - tackling forecasting, pricing, and data modelling projects to support commercial, operations, energy, and marketing teams. You'll help answer key strategic questions, such as: How should we price energy dynamically across the day? What patterns … charging behaviour? How can we use data to drive operational efficiency and profitability? This is a hands-on analytical role , ideal for someone who enjoys statistical problem-solving, building predictive models, and presenting clear insights that drive action - but not a pure machine learning role . Key Responsibilities Develop and maintain forecasting and pricing models Support business teams with … actionable insights and data storytelling Analyse large data sets in Snowflake/AWS using SQL and Python Apply statistical techniques (segmentation, regression, predictive modelling) Partner with stakeholders to translate business questions into data-driven answers About You Strong experience with SQL and Python (Jupyter Notebooks) Solid grounding in statistical analysis and forecasting methods Commercially minded - able to connect More ❯

analytics ecosystem. This will include, but not be limited to, business performance management reporting and visualisation, resource optimization analytics, sub-national/account-level opportunity mapping, analytics innovation, advanced modelling execution and partnership with the brands on strategic analytical priorities. The role will be accountable for: Market and Brand Analytics Support and execution of analytics reporting, including secondary data … analysis, advanced analytics/data science, and modelling Execution of customer analytics, segmentation and targeting, promotional resource allocation, field force sizing, omnichannel analysis, etc. Effectively collaborate on the delivery of advanced analytics including predictive modelling, data science and machine learning, as needed Seek continuous improvement, including identification of new capabilities and/or data to maximize Pfizer … and deliver accurate and effective performance measurement solutions are built and maintained Monitor the external marketplace/competitive landscape and ensure clear insights are driving commercial decisions Support data modelling and forecasting needs, including for LRF and operating plans Primary Market Research Management Support PMR execution and identify opportunities to elevate PMR data to enrich secondary analytics and/ More ❯

growing financial services organisation looking for a Lead Data Scientist to drive innovation across the customer lifecycle. This is a hands-on, commercially focused role where you’ll develop predictive models, deploy autonomous decisioning frameworks, and deliver actionable insights across fraud, marketing, credit risk, and customer management. You’ll work closely with cross-functional teams and have the opportunity … to shape the future of data science within a dynamic, forward-thinking environment. Key Responsibilities: Own the development and deployment of predictive models to improve customer outcomes. Lead autonomous decisioning initiatives, including model implementation and policy setting. Design and execute test-and-learn strategies to inform business decisions. Deliver insights through structured analysis and clear communication. Identify opportunities for … 5+ years of experience delivering end-to-end data science solutions in a commercial setting. Proven ability to lead projects independently and drive results. Strong expertise in machine learning, predictive modelling, and AI. Proficient in Python, R, SQL; experience with Power BI or similar tools. Exposure to Gen AI tools or techniques is a strong plus. Excellent stakeholder More ❯

growing financial services organisation looking for a Lead Data Scientist to drive innovation across the customer lifecycle. This is a hands-on, commercially focused role where you’ll develop predictive models, deploy autonomous decisioning frameworks, and deliver actionable insights across fraud, marketing, credit risk, and customer management. You’ll work closely with cross-functional teams and have the opportunity … to shape the future of data science within a dynamic, forward-thinking environment. Key Responsibilities: Own the development and deployment of predictive models to improve customer outcomes. Lead autonomous decisioning initiatives, including model implementation and policy setting. Design and execute test-and-learn strategies to inform business decisions. Deliver insights through structured analysis and clear communication. Identify opportunities for … 5+ years of experience delivering end-to-end data science solutions in a commercial setting. Proven ability to lead projects independently and drive results. Strong expertise in machine learning, predictive modelling, and AI. Proficient in Python, R, SQL; experience with Power BI or similar tools. Exposure to Gen AI tools or techniques is a strong plus. Excellent stakeholder More ❯

growing financial services organisation looking for a Lead Data Scientist to drive innovation across the customer lifecycle. This is a hands-on, commercially focused role where you’ll develop predictive models, deploy autonomous decisioning frameworks, and deliver actionable insights across fraud, marketing, credit risk, and customer management. You’ll work closely with cross-functional teams and have the opportunity … to shape the future of data science within a dynamic, forward-thinking environment. Key Responsibilities: Own the development and deployment of predictive models to improve customer outcomes. Lead autonomous decisioning initiatives, including model implementation and policy setting. Design and execute test-and-learn strategies to inform business decisions. Deliver insights through structured analysis and clear communication. Identify opportunities for … 5+ years of experience delivering end-to-end data science solutions in a commercial setting. Proven ability to lead projects independently and drive results. Strong expertise in machine learning, predictive modelling, and AI. Proficient in Python, R, SQL; experience with Power BI or similar tools. Exposure to Gen AI tools or techniques is a strong plus. Excellent stakeholder More ❯

growing financial services organisation looking for a Lead Data Scientist to drive innovation across the customer lifecycle. This is a hands-on, commercially focused role where you'll develop predictive models, deploy autonomous decisioning frameworks, and deliver actionable insights across fraud, marketing, credit risk, and customer management. You'll work closely with cross-functional teams and have the opportunity … to shape the future of data science within a dynamic, forward-thinking environment. Key Responsibilities: Own the development and deployment of predictive models to improve customer outcomes. Lead autonomous decisioning initiatives, including model implementation and policy setting. Design and execute test-and-learn strategies to inform business decisions. Deliver insights through structured analysis and clear communication. Identify opportunities for … 5+ years of experience delivering end-to-end data science solutions in a commercial setting. Proven ability to lead projects independently and drive results. Strong expertise in machine learning, predictive modelling, and AI. Proficient in Python, R, SQL; experience with Power BI or similar tools. Exposure to Gen AI tools or techniques is a strong plus. Excellent stakeholder More ❯

Following a recent restructure, the data function is entering an exciting phase of growth and investment, focused on delivering a cutting-edge data platform and embedding advanced analytics and predictive capabilities throughout the organisation. THE TEAM You’ll lead a growing central data and analytics function, currently a small but capable team of engineers and analysts, with headcount expansion … planned over the next year. The team manages the full data lifecycle — from ingestion and governance through to reporting and predictive modelling, supporting departments across the organisation, including finance, digital, marketing, and operations. It’s a collaborative environment that values innovation, technical credibility, and strong stakeholder relationships. THE ROLE As Head of Data & Analytics, you’ll take ownership … ensuring best practice across all data activities. Lead on reporting and insight standardisation through tools such as Power BI and Omni, ensuring a consistent view of business performance. Drive predictive analytics and machine learning initiatives, including customer lifetime value and propensity modelling. Collaborate cross-functionally with commercial, finance, and digital teams to ensure insights translate into measurable business outcomes. More ❯

Following a recent restructure, the data function is entering an exciting phase of growth and investment, focused on delivering a cutting-edge data platform and embedding advanced analytics and predictive capabilities throughout the organisation. THE TEAM You’ll lead a growing central data and analytics function, currently a small but capable team of engineers and analysts, with headcount expansion … planned over the next year. The team manages the full data lifecycle — from ingestion and governance through to reporting and predictive modelling, supporting departments across the organisation, including finance, digital, marketing, and operations. It’s a collaborative environment that values innovation, technical credibility, and strong stakeholder relationships. THE ROLE As Head of Data & Analytics, you’ll take ownership … ensuring best practice across all data activities. Lead on reporting and insight standardisation through tools such as Power BI and Omni, ensuring a consistent view of business performance. Drive predictive analytics and machine learning initiatives, including customer lifetime value and propensity modelling. Collaborate cross-functionally with commercial, finance, and digital teams to ensure insights translate into measurable business outcomes. More ❯

Following a recent restructure, the data function is entering an exciting phase of growth and investment, focused on delivering a cutting-edge data platform and embedding advanced analytics and predictive capabilities throughout the organisation. THE TEAM You'll lead a growing central data and analytics function, currently a small but capable team of engineers and analysts, with headcount expansion … planned over the next year. The team manages the full data lifecycle - from ingestion and governance through to reporting and predictive modelling, supporting departments across the organisation, including finance, digital, marketing, and operations. It's a collaborative environment that values innovation, technical credibility, and strong stakeholder relationships. THE ROLE As Head of Data & Analytics, you'll take ownership … ensuring best practice across all data activities. Lead on reporting and insight standardisation through tools such as Power BI and Omni, ensuring a consistent view of business performance. Drive predictive analytics and machine learning initiatives, including customer lifetime value and propensity modelling. Collaborate cross-functionally with commercial, finance, and digital teams to ensure insights translate into measurable business outcomes. More ❯

Healthcare & Life Sciences Research: enabling long-term survival analysis, endpoint validation, epidemiological studies; Insurance, Pensions & Financial Services: improving life expectancy models, detecting fraud, and supporting population risk profiling ; AI & Predictive Modelling: powering advanced models that incorporate accurate mortality endpoints. As a Data Scientist at Veritas, you’ll help develop and deliver data products that power our client solutions. … You’ll work across the full data science lifecycle — from engineering and modelling through to dashboarding, client engagement, and product design. This is a great fit for someone who enjoys blending data engineering, analytics, and science in equal measure. What You’ll Do Design and build models, algorithms, and dashboards to support data-driven product development. Work with diverse More ❯

deliver impactful analytics solutions using Power BI and Azure Analysis Services. Lead a team of analytics professionals, mentoring and setting best practices. Introduce machine learning and AI to support predictive insights. Collaborate with stakeholders to drive data-informed decisions across the organisation. What Youll Bring Proven experience in analytics, BI, or data science with both hands-on technical delivery … and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field or equivalent experience; Relevant certifications in Power BI, Azure, or data science are a plus. What We Offer More More ❯

operations and long-term planning. Develop Tools & Dashboards that provide real-time visibility into key metrics and business performance. Champion Innovation by identifying opportunities for AI, machine learning, and predictive modelling to enhance customer experience and business outcomes. What You’ll Bring Senior-level experience in analytics leadership within digital-first industries , ideally gaming, betting, or entertainment. Strong More ❯

operations and long-term planning. Develop Tools & Dashboards that provide real-time visibility into key metrics and business performance. Champion Innovation by identifying opportunities for AI, machine learning, and predictive modelling to enhance customer experience and business outcomes. What You’ll Bring Senior-level experience in analytics leadership within digital-first industries , ideally gaming, betting, or entertainment. Strong More ❯

and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive modelling, segmentation, or pricing analytics Ability to work independently and communicate insights clearly to non-technical stakeholders WHY APPLY? Play a central role in shaping analytics for one More ❯

and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive modelling, segmentation, or pricing analytics Ability to work independently and communicate insights clearly to non-technical stakeholders WHY APPLY? Play a central role in shaping analytics for one More ❯

and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive modelling, segmentation, or pricing analytics Ability to work independently and communicate insights clearly to non-technical stakeholders WHY APPLY? Play a central role in shaping analytics for one More ❯

and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive modelling, segmentation, or pricing analytics Ability to work independently and communicate insights clearly to non-technical stakeholders WHY APPLY? Play a central role in shaping analytics for one More ❯

and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive modelling, segmentation, or pricing analytics Ability to work independently and communicate insights clearly to non-technical stakeholders WHY APPLY? Play a central role in shaping analytics for one More ❯

from a major bank but the feel of fintech innovation. Responsibilities: Advise business leaders on data-driven strategic decisions. Improve corporate client and individual customer outcomes. Develop and maintain predictive models using data science and machine learning. Build models for customer lifetime value and other key metrics. Continuously refine analytics through iterative improvements. Deploy models into production to enable More ❯

from a major bank but the feel of fintech innovation. Responsibilities: Advise business leaders on data-driven strategic decisions. Improve corporate client and individual customer outcomes. Develop and maintain predictive models using data science and machine learning. Build models for customer lifetime value and other key metrics. Continuously refine analytics through iterative improvements. Deploy models into production to enable More ❯