101 to 125 of 175 Predictive Modelling Jobs in the UK excluding London

+ 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 ❯

led decisions across marketing, product, and customer success. Design and execute A/B tests to evaluate new initiatives and use statistical analysis and predictive models to forecast trends and identify growth opportunities. Skills & Experience Experienced Customer Insight or Marketing Analytics Specialist with a passion for insights Experience working More ❯

led decisions across marketing, product, and customer success. Design and execute A/B tests to evaluate new initiatives and use statistical analysis and predictive models to forecast trends and identify growth opportunities. Skills & Experience Experienced Customer Insight or Marketing Analytics Specialist with a passion for insights Experience working 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 ❯

Hybrid 3 days onsite, 2 days remote. You will be leveraging your analytical skills and programming experience to extract insights from complex datasets, develop predictive models and support decision making. KEY RESPONSIBILITIES Data Analysis & Modelling: -Analyse large, complex datasets to identify trends, patterns, and actionable insights. -Develop, implement … to help shape the solutions that the team delivers -Present findings and recommendations to technical and non-technical audiences. -Acquire domain knowledge to inform modelling opportunities and model feature creation Technical Leadership: -Mentor junior data scientists and provide peer reviews for modelling projects. -Stay current with industry trends … Experience: -2 or more years of experience in a data science or analytics role. -Proven experience in building machine learning models, statistical analysis, and predictive analytics. -Experience designing experiments or modelling approaches to solve a specified business problem. PREFERRED QUALIFICATIONS -Proficiency in programming languages such as Python or 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 ❯

hands on role, with around 20% team leadership. What You’ll Do Oversee data science projects, guide junior team members, and drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and More ❯

ll lead FP&A in a company that's exploring how big data, automation, and AI can elevate financial planning. Whether it's building predictive models, refining data pipelines, or embedding forecasting logic directly into tools, this role is designed for someone with technical competence and creative curiosity. Key More ❯

ll serve as a trusted bridge between non-technical business stakeholders and engineering teams, ensuring alignment on vision, scope, and constraints. • Designing and deploying predictive models and data-driven solutions From regression and forecasting to optimisation models, you'll apply statistical and machine learning methods to drive measurable business More ❯

business, with key targets to increase conversion, retention and achieve target loss ratios. Responsibilities: Develop and coach Pricing Analysts. Develop, validate, review, and approve predictive machine learning models, exploring new techniques to improve model predictiveness. Deliver up-to-date and accurate datasets for modelling, pricing, and monitoring, while … review rates in the live rating engine. Maintain and apply models of customer and market behaviour, incorporating machine learning into behavioural models. Combine MI, modelling results, and company targets to develop a balanced view of current and future pricing performance. Maintain records to coordinate pricing decisions and implementation across … discipline. 3+ years' experience in insurance pricing or a related analytical background. Proficient in using programming languages (e.g., SAS) to manipulate data. Experience with predictive modelling techniques such as Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines, and Neural 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 ❯

Analyst responsibilities will include: Lead strategic analysis projects focused on customer retention and engagement, identifying trends and behaviors that drive long-term engagement Develop predictive models and segmentation strategies to forecast customer churn, optimise retention campaigns, and personalise customer journeys Design and deliver insightful dashboards and reports to track … skills and experience: Proven experience SQL Strong expertise in customer analytics, with a track record of using data to drive engagement strategies Proficiency in predictive modelling and segmentation techniques to optimize customer journeys. Hands-on experience with data visualization tools (e.g., Tableau, Power BI) to create intuitive, actionable More ❯

their search for a talented Quantitative Analyst to join their London based team. The successful candidate will use the extensive datasets to enhance existing predictive models, research new methods, and turn your insights into production-ready solutions. This research will involve a mix of well-executed analyses and innovative … modelling to solve unique challenges in football analytics, where traditional methods often need to be adapted or reinvented. To achieve this, you will have the freedom to explore and develop your own ideas while working collaboratively with a team of quants, developers, and analysts, to combine technical expertise with … football knowledge. Key Requirements: 3+ years of experience applying predictive modelling, machine learning, and probability theory, preferably in 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. While expertise in More ❯

Adobe Target, VWO, Optimizely, HotJar etc Knowledge of data science. This doesn’t need to be super in depth, but you must understand clustering, predictive modelling etc Strong communication and story telling skills a must have HOW TO APPLY If this sounds like the role for you, swiftly More ❯

to institutions and individuals. With over 30 years of experience and a presence in 400 markets, it leverages data-driven insights, forensic analytics, and predictive modelling to enhance business performance. The Role The team is responsible for making data reliable, consistent, persistent, and available for analysts through self More ❯

interest in AI/ML and its application to drug discovery. Knowledge of pharmacokinetics and ADME data interpretation. Experience applying machine learning techniques for predictive modeling and generative molecule design. Proficiency in Python, OpenEye toolkits, RDKit, and other relevant computational chemistry tools. Working Location: This position is based at 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 ❯

Audio Division , acting as a strategic partner across digital, revenue, and marketing. You'll help shape the organisation’s data vision while leading on predictive modelling, experimentation, and insight delivery at scale. 🧩 What you’ll be doing: Build and lead a team of data scientists, analysts, and BI … engineers Own the strategy for how data is used to drive growth, engagement, and commercial outcomes Deliver predictive models to optimise audience targeting, content strategy, and advertising revenue Develop analytics products and tooling to support multiple business units Act as a key point of contact for European stakeholders and … insight for both technical and non-technical audiences 🔍 Key skills & experience: Strong expertise in SQL and Python Proven experience building and deploying statistical and predictive models Experience leading high-performing data science or advanced analytics teams Track record of influencing strategy through data Engaging, collaborative, and able to lead More ❯

within the cannabis industry. What You'll Bring: You have 3-5 years of experience in data science, specializing in time series forecasting and predictive modeling You have a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field You have … frameworks You have hands-on experience with leading time series forecasting techniques, including Prophet, ARIMA, and LSTM, enabling you to uncover trends and drive predictive insights You are familiar with big data tools and cloud platforms, including Azure, Snowflake, Hex, and dbt You have strong analytical, problem-solving, 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 ❯

role, you will be responsible for the training of the Machine Learning models such as propensity models. You will also be accountable for building predictive modelling solutions that can be rolled out to actionable initiatives across the business. In addition, you will support the ongoing management of the More ❯