176 to 200 of 250 Predictive Modelling Jobs in the UK

practice, and advanced data methodologies to build, improve and automate solutions to drive commercial excellence in decision-making. Accountabilities Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Maintain reproducible model building workflows, document experimental designs and track model performance. Create solutions across Commercial … across Pricing, Sales, and Ecommerce, to develop long-term strategic growth initiatives, and be a critical team member on project implementation. Apply knowledge of statistics, machine learning, programming, data modelling, simulation, and advanced mathematics to recognise patterns, identify opportunities, pose business questions, and make valuable discoveries, leading to prototype development and product improvement. End-to-end implementation of data More ❯

environment, you will provide expert guidance to clients across various industries to improve the availability and reliability of their assets and systems. Your role will involve conducting in-depth predictive modelling and reliability assessments to identify improvement opportunities and to meet stringent availability design targets. You'll work closely with clients to develop and implement data-driven solutions … drawing on industry best practices and reliability engineering methodologies such as FMEA, Reliability and Availability Modelling, and Fault Tree analysis. This position requires strong communication skills, adaptability, and a focus on delivering high quality deliverables. Key Responsibilities Interrogate Process Flow Diagrams (PFDs) and electrical single-line diagrams to develop Reliability Block Diagrams (RBDs). Analyse complex systems to identify More ❯

ll oversee analytics across three business-critical areas: Marketing, Customer & Risk Analytics. You’ll lead a small but growing team of analysts and work closely with data scientists building predictive models YOUR SKILLS AND EXPERIENCE Management experience in the customer/marketing analytics space Prior & recent experience working in the Financial Services space THE BENEFITS More ❯

highly scalable data management systems. * Ensure systems meet business requirements and industry practices. * Design, implement, automate and maintain large scale enterprise data ETL processes. * Build high-performance algorithms, prototypes, predictive models and proof of concepts . Qualifications: * Ability to work as part of a team, as well as work independently or with minimal direction. * Excellent written, presentation, and verbal More ❯

can enhance product offerings. Design and run experiments to test hypotheses and support product development. Develop robust data pipelines to support science experimentation and production. Deploy, maintain, and monitor predictive models in live environments. Communicate findings and technical concepts clearly to both technical and non-technical audiences. Contribute to agile delivery workflows and cross-functional collaboration. What We’re More ❯

can enhance product offerings. Design and run experiments to test hypotheses and support product development. Develop robust data pipelines to support science experimentation and production. Deploy, maintain, and monitor predictive models in live environments. Communicate findings and technical concepts clearly to both technical and non-technical audiences. Contribute to agile delivery workflows and cross-functional collaboration. What We’re More ❯

comfortable taking requirements to produce their data insights and reports they need. Future ambitions of the data team are to start investigating trends their existing business data to build predictive models to help the business identify trends, patterns and future insights/events so any experience or interest in this area would be advantageous. Salary is paying up to More ❯

data integration platforms, and automated risk management solutions for prestigious asset management firms. Public Sector: We're trusted by multiple UK government departments and public sector organisations to deliver predictive maintenance systems, supply chain optimisation, and process automation. SaaS, Manufacturing & More : From innovative SaaS providers to global manufacturing leaders, our cross-industry expertise ensures we bring diverse perspectives to … data into actionable insights that drive remarkable results for our clients. Why You'll Love QuantSpark Work That Matters: Lead high-impact analytics projects across diverse sectors-from building predictive models that help private equity firms identify value creation opportunities to creating inventory optimisation algorithms for household-name retailers.Tackle Exciting Challenges: Design and implement technically sophisticated solutions such as … real-time analytics platforms for FTSE 100 companies, automated risk assessment systems for asset managers, and predictive maintenance pipelines for government departments. Build Solutions That Scale: Your analytics engineering will power data products used by millions of customers, from recommendation engines for major retailers to fraud detection systems for financial institutions. Shape Technical Standards: As a growing consultancy, you More ❯

relationships are the most crucial component of a well-functioning data team. Stakeholders should consider you part of their team. Varied work across other data disciplines, e.g. dashboarding, AE modelling, business unit level deep dives and data sprints, supporting ML projects. We make time for innovation, so if you have an idea, shout, and we'll make the space. … including the ability to create insightful and user-friendly dashboards and reports Experience with DBT (Data Build Tool) or similar data transformation technologies, with a keen understanding of data modelling and ETL processes Desirable A background in statistics and/or programming, with the ability to apply statistical methods and algorithms to extract insights from data Especially surrounding experimentation … Familiarity with machine learning (ML) and artificial intelligence (AI) techniques, preferably in Python, R, or another programming language, enabling the development and implementation of predictive models and data-driven solutions Everyday Flex - greater flexibility over where and when you work 25 days annual leave + extra days for years of service Day off for volunteering & Digital detox day Festive More ❯

and help shape our customer-centric strategies using data. Key Responsibilities Analyse Customer Behaviour to identify trends in lifetime value (CLV), churn risk, and retention drivers. Build and maintain predictive models for customer retention and churn using statistical and machine learning techniques. Partner with marketing and CRM teams to deliver pre- and post-campaign analytics, including A/B … continuous improvement, innovation, and data-driven decision-making. Skills & Experience Proven experience in a Senior Analyst role, ideally with a focus on customer lifecycle analytics. Strong knowledge of CLV modelling, churn prediction, retention analytics, and campaign performance analysis. Proficiency in SQL. Experience with data visualisation tools such as Tableau, Power BI, or Looker. Solid understanding of A/B More ❯

and help shape our customer-centric strategies using data. Key Responsibilities Analyse Customer Behaviour to identify trends in lifetime value (CLV), churn risk, and retention drivers. Build and maintain predictive models for customer retention and churn using statistical and machine learning techniques. Partner with marketing and CRM teams to deliver pre- and post-campaign analytics, including A/B … continuous improvement, innovation, and data-driven decision-making. Skills & Experience Proven experience in a Senior Analyst role, ideally with a focus on customer lifecycle analytics. Strong knowledge of CLV modelling, churn prediction, retention analytics, and campaign performance analysis. Proficiency in SQL. Experience with data visualisation tools such as Tableau, Power BI, or Looker. Solid understanding of A/B More ❯

hypotheses : Design, develop, and implement a range of experiments which will test and validate hypotheses across channels, segments and audiences which will derive actionable insights and decision making. Develop predictive models: develop, test and implement predictive models to inform business decisions, such as customer segmentation, retention models and customer lifetime value. Communicate results and engage with stakeholders : Effectively … datasets and identify opportunities for automation and process improvements. Good analytical and problem-solving skills to address real-world business challenges. Practical and outcome driven mindset. Proficiency in statistical modelling : Demonstrated experience in developing and deploying statistical models, with a strong understanding of various, including supervised and unsupervised learning methods. Software development skills : Good programming experience, ideally in Python. More ❯

experience (this can be an internship). This is an exciting opportunity for an early-careers quant with a passion for markets, data, and systematic investing. You will: Develop predictive models for constituent changes and associated flows Analyze historical rebalancing patterns and post-event performance Backtest and validate systematic strategies around index changes Monitor upcoming index events and help More ❯

experience (this can be an internship). This is an exciting opportunity for an early-careers quant with a passion for markets, data, and systematic investing. You will: Develop predictive models for constituent changes and associated flows Analyze historical rebalancing patterns and post-event performance Backtest and validate systematic strategies around index changes Monitor upcoming index events and help More ❯

integration and optimisation of cutting-edge systems. As a pivotal member of our Finance team, you will: Drive Strategic Initiatives : Analyse financial implications of transformation and diversification strategies, create predictive models, and support cash flow forecasting. Enhance Data Governance : Ensure data accuracy and compliance, conducting integrity checks to support audit readiness and regulatory standards. Collaborate Across Teams : Partner with More ❯

service that applies AI/ML to process high-volume, low-complexity workflows.You'll work on a modern AWS serverless platform, developing components for document analysis, signature detection, and predictive modelling. Collaboration with cross-functional teams is key to ensuring seamless integration with existing digital services. What You'll Need to Succeed Essential Skills Strong experience with OCR, NLP More ❯

that applies AI/ML to process high-volume, low-complexity workflows. You'll work on a modern AWS serverless platform, developing components for document analysis, signature detection, and predictive modelling. Collaboration with cross-functional teams is key to ensuring seamless integration with existing digital services. What You'll Need to Succeed Essential Skills Strong experience with OCR, NLP More ❯

Their high team retention speaks volumes about the supportive and engaging environment they've cultivated. THE ROLE: As a Principal Software Engineer, you'll be instrumental in developing sophisticated predictive models that forecast the outcomes of sporting events. You'll be working with strong quants coming from and statistics background, with a keen eye for problem-solving. You'll More ❯

back control of their health journeys. In this role you will: You'll be designing, implementing, and leading data science strategies that transform healthcare data into valuable insights and predictive models. Your work will directly impact 13.5 million patients across NHS and private healthcare services in the UK. You will be: Building and leading a team of data scientists … and analysts Developing predictive models to improve patient outcomes and operational efficiency Creating data pipelines and architectures to handle sensitive healthcare information securely Implementing machine learning solutions to personalize healthcare experiences Analyzing large datasets to identify trends and opportunities for service improvement Collaborating with product and engineering teams to integrate data insights into our platform Establishing data governance frameworks More ❯

and this is a great chance to have a profound impact on the project. Key Responsibilities: Analyze large datasets to uncover patterns and insights related to customer behavior. Develop predictive models to forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques … and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with … might expect to work on: Predicting future expected value and future potential value of individual customers. Real-time prediction of customer churn. Building multi-level customer segmentation driven by predictive models. Here's what we offer: Start with 25 days of annual leave, with 2 additional days added each year, up to 35 days by your fifth year with More ❯

Deliver actionable trading insights to optimize revenue and margin performance. Develop automated reporting and dashboards for real-time insights into UKI revenue, pricing, and promotional effectiveness. Establish and refine predictive models to anticipate UKI market trends and customer behavior. Leverage A/B testing and experimentation frameworks to assess the impact of UKI commercial initiatives and optimize investments. Stakeholder … Proficiency in SQL, Python, or other data analytics tools, along with BI platforms such as Tableau or Power BI. Strong understanding of data science applications in commercial strategy, including predictive modeling and machine learning. Familiarity with A/B testing methodologies and experimentation frameworks. Here is our offer Here at JET, we offer our colleagues the chance to develop More ❯

will play a pivotal role in driving data-driven decision-making and shaping strategic initiatives. Your expertise will directly impact the organisation's ability to understand client behaviour, refine predictive models, and deliver actionable insights that influence key business outcomes. You will take on the responsibility of developing and optimising machine learning models, analysing complex datasets, and collaborating closely … will play a pivotal role in driving data-driven decision-making and shaping strategic initiatives. Your expertise will directly impact the organisation's ability to understand client behaviour, refine predictive models, and deliver actionable insights that influence key business outcomes. You will take on the responsibility of developing and optimising machine learning models, analysing complex datasets, and collaborating closely More ❯

Hybrid with occasional travel to a hub location Contract Type: Permanent Our Team The Model Risk and Analytics (MR&A) team work at the intersection of Data Science, Statistical Modelling and Economics, using data to support the business through model building or providing actionable insights from the data. We draw on statistical modelling techniques to produce the best … possible predictive models. As a Modelling Analyst within the IRB and Decisioning Analytics team, you'll help to secure the foundations of our business decisions by providing quantitative and qualitative analysis across our regulatory model suites, providing solutions to support the acquisition of new business, risk-based account management and manage the bank's capital across its Retail … in building trusted relationships with stakeholders. • Expertise in the use of statistical analysis software (e.g. SAS/SQL, Python, R) as well as MS Office. • An understanding of statistical modelling techniques such as hypothesis testing, probability distributions and regression. Red Hot Rewards • Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time) plus the option More ❯

Hybrid with occasional travel to a hub location Contract Type: Permanent Our Team The Model Risk and Analytics (MR&A) team work at the intersection of Data Science, Statistical Modelling and Economics, using data to support the business through model building or providing actionable insights from the data. We draw on statistical modelling techniques to produce the best … possible predictive models. As a Modelling Analyst within the IRB and Decisioning Analytics team, you'll help to secure the foundations of our business decisions by providing quantitative and qualitative analysis across our regulatory model suites, providing solutions to support the acquisition of new business, risk-based account management and manage the bank's capital across its Retail … in building trusted relationships with stakeholders. • Expertise in the use of statistical analysis software (e.g. SAS/SQL, Python, R) as well as MS Office.• An understanding of statistical modelling techniques such as hypothesis testing, probability distributions and regression. Red Hot Rewards • Generous holidays - 38.5 days annual leave (including bank holidays and prorated if Part–Time)?plus the option More ❯

Hybrid with occasional travel to a hub location Contract Type: Permanent Our Team The Model Risk and Analytics (MR&A) team work at the intersection of Data Science, Statistical Modelling and Economics, using data to support the business through model building or providing actionable insights from the data. We draw on statistical modelling techniques to produce the best … possible predictive models. As a Modelling Analyst within the IRB and Decisioning Analytics team, you’ll help to secure the foundations of our business decisions by providing quantitative and qualitative analysis across our regulatory model suites, providing solutions to support the acquisition of new business, risk-based account management and manage the bank’s capital across its Retail … in building trusted relationships with stakeholders. • Expertise in the use of statistical analysis software (e.g. SAS/SQL, Python, R) as well as MS Office. • An understanding of statistical modelling techniques such as hypothesis testing, probability distributions and regression. Red Hot Rewards • Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time) plus the option More ❯