1 to 25 of 44 Remote Predictive Modelling Jobs in the UK excluding London

If you're a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation, and you're excited about shaping the future of data in a cloud-first environment, we want to hear from you! This is a fantastic opportunity to join our client at the … an exciting time to be part of its data science team. The role. We are looking for a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation. You will Lead and optimize automated reporting pipelines, ensuring high performance and quality assurance. Build and deploy predictive models, enhancing customer behaviour forecasting and operational insights. Maintain and further develop pricing analytics models and web applications for internal stakeholders. Drive segmentation modelling projects, improving customer targeting and personalization strategies. Develop and refine data pipelines and ETL processes, enabling efficient data integration into Azure Synapse & Fabric. Play More ❯

employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Data Scientist (Predictive Analytics Specialist) Location: Hybrid working, minimum 2 days in the Manchester (Salford Quays) Office Reports to: Head of Data Salary : £50K, plus target bonus … on-prem to cloud based, cost effective, scalable and resilient services. About The Role: We are seeking a talented Data Scientist to drive our predictive analytics capabilities across commercial and operational processes. The successful candidate will apply advanced analytical techniques to forecast trends, optimise performance, and inform strategic decisions. … will work closely with cross-functional teams to enhance data-driven decision-making and contribute to the continuous improvement of our operations. Key Responsibilities: Predictive Modelling: Develop and implement predictive models to forecast key metrics such as sales performance, customer and learner behaviour, and operational efficiency. Data More ❯

Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and … or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the … relevant standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical More ❯

Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and … or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the … relevant standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical More ❯

commercial, product, and engineering, to build automated ML/AI solutions that will provide tangible benefits for Travel Counsellors. Principal Accountabilities Build and deploy predictive models for optimising pricing, personalised recommendations, and operational efficiencies. Collaborate with data and software engineers to operationalise ML models within our wider technology platform More ❯

CRM systems, and transactional databases. Interpret data to identify trends, patterns, and areas for improvement in the customer experience journey. Apply statistical techniques and predictive modelling to forecast customer trends and anticipate future needs. Use exploratory analysis to detect patterns, correlations, and anomalies in data. Data Management & Engineering More ❯

sources to uncover trends and insights that inform key business strategies across finance, retail, and healthcare sectors. Support decision-making : Use statistical methods and predictive models to assist clients in making data-driven decisions that improve their performance and efficiency. Create data visualisations : Design and maintain interactive dashboards and … working with clients in finance, retail, or healthcare, and familiarity with sector-specific data challenges. Exposure to advanced analytics : Knowledge of machine learning techniques, predictive modeling, or advanced statistical analysis. Problem-solving approach : A proactive, solution-oriented mindset, with the ability to think critically and creatively. The Benefits: Diverse More ❯

analytical requirements of the Force. Translates these requirements into effective data models, marts and structures that will support the production of the Forces' analytics, predictive modelling and reporting capabilities. Provides expert input into the adoption and application of appropriate analytical techniques to create information which supports Force in More ❯

with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make a difference? WE ARE your future. More details: Full time, permanent role Competitive salary Hybrid More ❯

Data Scientist, you will play a pivotal role in shaping our data science function, ensuring we deliver best-in-class machine learning, optimisation, advanced & predictive analytics, and experimentation & measurement solutions. This is a unique opportunity to take ownership of our data science efforts, influence the direction of the team … new standards for excellence. Reporting directly to the Director of Data, you will oversee the execution of high-impact projects, covering areas such as predictive modelling, customer lifetime value and segmentation, bidding optimisation, and advanced experimentation. You will act as a data lead for key clients, taking responsibility … projects are delivered effectively and drive meaningful results. About you: You are an experienced data scientist with a strong background in machine learning, statistical modelling, and optimisation techniques. You thrive in fast-paced environments and have a proven track record of delivering data-driven solutions that create real value. More ❯

+ benefits 🏠 Location: Hybrid, London HQ 🧩 Interview process: 3 stages 📢 Reporting to: Head of Data & Analytics 👏 Company size: ~1000 (~40 in data) 🎯 Working on: Predictive Modelling Revenue Forecasting/FinOps Demand Forecasting Churn You'll be taking your insights and using them to shift business strategy, working closely … only in the data team but across the business! We're looking for: Extensive experience in data science, with a strong background in building predictive models and analytics solutions. Experience working in a fast-paced or scaling-business Expertise in statistical analysis, machine learning, and data-driven decision-making More ❯

and Snowflake Experience with budgeting, forecasting, and variance analysis in a corporate or technical setting Knowledge of statistical methods and machine learning techniques for predictive modelling Proficiency in creating and maintaining version-controlled documentation for methodologies and processes Familiarity with governance standards and process optimisation Excellent communication and More ❯

and Snowflake Experience with budgeting, forecasting, and variance analysis in a corporate or technical setting Knowledge of statistical methods and machine learning techniques for predictive modelling Proficiency in creating and maintaining version-controlled documentation for methodologies and processes Familiarity with governance standards and process optimisation Excellent communication and More ❯

range of clients across financial services and utilities. The Role Joining a high-performing Decision Science team, your remit will involve end-to-end predictive modelling and analytics. You’ll play a vital role in shaping strategic decisions across the business. Key Responsibilities: Develop and optimise scorecards and … techniques Candidate Profile You’ll need either: A Master’s or PhD in a STEM subject or 1–2 years’ relevant experience in a modelling role within financial services Essential: Strong coding ability in Python Desirable: SQL proficiency Exposure to credit risk, collections, or pricing Knowledge of machine learning More ❯

role in risk model builds and refreshes across all product lines. Work closely with stakeholders across the business to ensure data used for risk modelling is consistent, efficient and suitable for modelling. Contribute to delivering our commercial objectives by continuing to build and maintain our risk pricing models efficiently … meeting expectations of key internal and external stakeholders. Key Skills and Experience: Previous experience within general insurance pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science More ❯

and verbal presentations. Work closely with engineering, product, and executive teams to integrate models into production systems. Drive innovation in data usage across analytics, predictive modeling, and decision systems. What We’re Looking For: 8+ years of data science experience, including 2+ years in leadership roles. Strong background in More ❯

our strategic direction, ensuring that we deliver this core strategy. The three core deliverables of this role: Lead the exec team in developing a predictive growth and advocacy strategy that identifies, measures and amplifies the key drivers of viral organic growth. Build a scalable customer and market intelligence engine … across all teams. Responsibilities Strategy & Leadership With the CEO, lead and support development and execution of a comprehensive long- and short-term data-driven, predictive growth strategy focused on advocacy, virality, and rapid expansion. Partner with the executive & senior leadership team to ensure insights and analytics shape company-wide … driven performance metrics. Customer & Market Insights Build a best-in-class insights function that anticipates customer behaviour shifts, market trends, and emerging opportunities. Develop predictive models and segmentation frameworks that enhance customer engagement, retention, and lifetime value strategies. Leverage NPS, behavioural analytics, and voice-of-customer data to optimise More ❯

seeking a Junior Data Scientist to join our client’s London-based fintech team, where you will work with large-scale financial datasets, develop predictive models, and support data-driven decision-making in a dynamic and fast-growing sector. Key Responsibilities 🔍 Data Science & Modelling: Work with complex financial … datasets to extract insights, optimise risk models, and improve trading strategies. 🤖 Machine Learning Development: Design and implement predictive models for fraud detection, credit scoring, and algorithmic trading. 📊 Data Visualisation & Reporting: Build dashboards and reports to communicate insights to both technical and non-technical stakeholders. 🤝 Collaboration: Work alongside risk, product … cloud platforms (AWS, GCP, or Azure) for model deployment. Understanding of big data technologies like Spark or Hadoop. Knowledge of algorithmic trading, credit risk modelling, or payment fraud detection . Benefits 💰 Competitive Salary & Bonus: £35,000 - £45,000 plus performance-based incentives. 🏡 Hybrid Working: Flexible mix of office and More ❯

wfh About the Role My client is seeking a Football Quantitative Analyst to join their prediction team. You will use extensive datasets to enhance predictive models, explore new methodologies, and develop solutions. This role involves a blend of in-depth analysis and innovative modelling to tackle unique challenges … of data scientists and sports analysts, as well as having the freedom to explore and develop individual ideas. Requirements 3+ years of experience in predictive modelling, machine learning, and probability theory, preferably in the sports or gaming/betting industries. Familiarity with techniques such as Monte Carlo simulation … Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. Strong programming skills, particularly in Python. Experience in exploring new datasets, identifying data quality issues, and handling imperfect data effectively. Preferred Qualifications Understanding of expected value and utility principles. Practical problem-solving approach, balancing detail with quick More ❯

a modern North West HQ. Modern Tech Stack: Get hands-on with Power BI, Microsoft Fabric, Python (PySpark), and SQL. High-Impact Projects: From predictive analytics to performance optimisation, your work will drive measurable results across retail, supply chain, and beyond. Why This Role? Strategic Influence: Your insights will … . Modern Tech Stack: Get hands-on with Power BI, Microsoft Fabric, Python (PySpark), and SQL-no legacy reporting here. High-Impact Projects: From predictive analytics to performance optimisation, your work will drive measurable results across retail, supply chain, and beyond. Join a business that's investing heavily in … becoming the go-to person for data-led decision making. Turn complex datasets into clear, actionable stories that drive performance. Lead deep-dive investigations, predictive modelling, and innovative analytics projects. Present directly to senior stakeholders-your voice will be heard. Spot opportunities others miss-help shape strategy, not More ❯

a modern North West HQ. Modern Tech Stack: Get hands-on with Power BI, Microsoft Fabric, Python (PySpark), and SQL. High-Impact Projects: From predictive analytics to performance optimisation, your work will drive measurable results across retail, supply chain, and beyond. Why This Role? Strategic Influence: Your insights will … . Modern Tech Stack: Get hands-on with Power BI, Microsoft Fabric, Python (PySpark), and SQL-no legacy reporting here. High-Impact Projects: From predictive analytics to performance optimisation, your work will drive measurable results across retail, supply chain, and beyond. Join a business that's investing heavily in … becoming the go-to person for data-led decision making. Turn complex datasets into clear, actionable stories that drive performance. Lead deep-dive investigations, predictive modelling, and innovative analytics projects. Present directly to senior stakeholders-your voice will be heard. Spot opportunities others miss-help shape strategy, not More ❯

will be responsible for defining and implementing the global data science strategy for Merlin. This will facilitate the use of huge datasets to build predictive models and generate actionable insights for the business. The introduction of AI and Machine Learning is especially important to explore the improvement of internal … advanced analytics and AI as central pillars in the decision-making processes. Cultivate a strong data-first mindset by embedding AI, machine learning, and predictive modelling into business operations to tackle complex challenges and inform smarter strategies. Recruit, inspire, and develop a skilled team of Data Scientists while More ❯

and client delivery. Stay updated with regulatory changes, market trends, and actuarial best practices. Required Skills & Experience: Production grade Python experience 2+ years of predictive modelling and advanced analytics methods experience Experience of insurance/reinsurance pricing techniques Experience in developing models in Python Experience in customer facing More ❯

day: Break down complex business challenges into measurable and data-driven metrics and formulate hypothesis to test and validate potential solutions. Build and deploy predictive models using advanced frameworks and algorithms. Adapt and customise models on a case-by-case basis for specific organisational needs. Continuously improve model performance More ❯

to create solutions in both Databricks and our CDP (mParticle). This could be creating audiences, or using in-built CDP capabilities to build predictive models, or enabling triggered marketing campaigns reaching millions of customers. What you'll be doing Creating data solutions (such as views, segmentations, profiles) in More ❯