1 to 25 of 95 Permanent Predictive Modelling Jobs in the UK excluding London

influence commercial decisions Questions about this role? Reach out to Credit risk and Customer Insights Focus Support strategic decision-making around debt, credit risk and customer segmentation Build robust predictive models and propensity models to better understand our customers Partner with business stakeholders to uncover opportunities for data science applications, including NLP and Gen AI Questions about this role … advanced analytics in our Flex space, a strategically important area Design, build, and deploy models and solutions that deliver measurable business impact Explore new ways to leverage data for predictive modelling, automation, and intelligent insights Questions about this role? Reach out to Are we the perfect match? 5-7+ years of hands-on experience as a Data … curiosity, and mentoring others; motivated to create positive change through data It would be great if you had: Experience in the energy or retail sector Background in pricing, commercial modelling, credit risk, or debt Exposure to PySpark or other big data tools Experience with NLP, Generative AI, or advanced predictive modelling More ❯

of tools and technologies to ensure that BSI is prepared to leverage a diverse range of both structured and unstructured data and continually assess their efficiency and accuracy. Use predictive modelling to increase and optimise business outcomes and services to clients. Stay up to date with latest technology, requirements and methods and conduct research to develop prototypes and … and models across other functions in BSI. To Be Successful In The Role, You Will Have Strong statistical analysis skills. Extensive knowledge of Python (preferred) or R. Knowledge of predictive modelling techniques. Strong script/coding skills. SQL Database experience. Previous experience with Cloud Software (Azure/AWS). Understanding of risk, ethics and compliance in relation to More ❯

Lead a high-impact analytics team, supporting modelling professionals as they go through a transformation. Own strategic modelling across a diversifying product and channel mix. Manage and mentor a growing team of analysts. Influence marketing investment decisions with predictive insight. Reporting to the Head of Performance, youll take ownership of modelling and performance analysis across a … period of transformation as they move from a single-product, linear marketing model to a multi-product, cross-channel strategy. What youll be doing Youll design and implement advanced modelling techniques to understand how marketing spend performs across different channels and products. From TV to digital, youll track how investment influences customer behaviour and conversion, and guide future spend … with predictive insight. Youll manage two analysts, including a dedicated modeller, and ensure the team are spotting gaps, creating new insights, models and supporting the overall growth. Youll translate technical outputs into clear, commercial understanding for stakeholders, run strategy and training sessions, and proactively spot gaps and opportunities across the team and wider business. Youll be hands-on when More ❯

Your analytical skills will be key in identifying trends, patterns, and anomalies that can inform business strategies. Statistical Modeling : The ability to applying statistical techniques to extract insights, build predictive models, interpret data, and support data driven decision making. Machine Learning and AI Model End to End Management : The ability to build and manage the full lifecycle of ML More ❯

behavioural patterns. Translate data into actionable insights that influence decisions across Finance, Operations, Sales, and Marketing. Support the testing, piloting, and scaling of AI-driven tools like sentiment analysis, predictive models, and smart feedback systems. Make insights accessible to non-technical stakeholders through clear storytelling and impactful data visualisations. Champion best practices in customer insights and contribute to the … with data tools such as Python, R, Tableau, or Power BI. Interest or experience in customer experience and Voice of Customer (VoC) insights. Bonus skills (not required): Experience with predictive modelling, NLP, or large language models. Exposure to customer journey mapping. Knowledge of additional languages (French, Spanish, or German). What's on Offer Opportunities to work across More ❯

regions. Your work will directly impact trading, commercial strategy, and financial performance Responsibilities include: • Analyse large datasets and KPIs to identify trends, patterns, and business opportunities. • Develop and maintain predictive models to forecast market trends, customer behaviour, and financial indicators. • Provide actionable insights and recommendations to stakeholders across regional and cross-functional teams. • Monitor and evaluate commercial initiatives to More ❯

regions. Your work will directly impact trading, commercial strategy, and financial performance Responsibilities include: • Analyse large datasets and KPIs to identify trends, patterns, and business opportunities. • Develop and maintain predictive models to forecast market trends, customer behaviour, and financial indicators. • Provide actionable insights and recommendations to stakeholders across regional and cross-functional teams. • Monitor and evaluate commercial initiatives to More ❯

regions. Your work will directly impact trading, commercial strategy, and financial performance Responsibilities include: • Analyse large datasets and KPIs to identify trends, patterns, and business opportunities. • Develop and maintain predictive models to forecast market trends, customer behaviour, and financial indicators. • Provide actionable insights and recommendations to stakeholders across regional and cross-functional teams. • Monitor and evaluate commercial initiatives to More ❯

tasks and reporting to improve efficiency and support decision-making Develop dashboards (Tableau) and email reports for business insights Use data storytelling to influence stakeholders and drive profitability Build predictive models to anticipate customer behaviour Translate data insights into actionable business outcomes Design and run A/B tests to guide strategic decisions Collaborate with cross-functional teams to More ❯

What we’d love you to bring: Passion for using data to tell stories, make insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as More ❯

What we’d love you to bring: Passion for using data to tell stories, make insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as 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 ❯

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 ❯

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 ❯

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 ❯

evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable systems 💡 Contribute to research and experimentation around model More ❯

evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable systems 💡 Contribute to research and experimentation around model More ❯

evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable systems 💡 Contribute to research and experimentation around model 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 ❯

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 ❯

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 ❯