26 to 50 of 173 Predictive Modelling Jobs in the UK

data pipelines. You will be expected to use AI tools where possible to help explore, analyse and transform data. What Youll Do Build Data Products & Algorithms: Prototype and refine predictive models (e.g., compliance forecasting, anomaly detection, NLP-based feedback analysis). Embed solutions into client dashboards and intelligent tools. Actively Participate in Innovation Labs: Lead the data science lifecycle More ❯

techniques such as k-means, latent class, hierarchical, and factor analysis. Understanding of working with market research and customer databases. Knowledge of statistics and machine learning applications. Experience with predictive modeling using linear models, XGBoost, discriminant analysis, etc. Beneficial Skills Experience with conjoint analysis and other pricing methods. Knowledge of GDPR and data compliance. Experience working with third-party More ❯

stakeholders and engineering partner to translate high-impact questions into scalable data science solutions Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation You'll need to have a strong combination of the following: Please note we use years of experience as a guide but we certainly will consider applications … or Master's degree in Data Science, Economics, Statistics or a related quantitative field 3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis Strong coding skills ideally in Python and experience with SQL for data querying Familiarity with version control systems (e.g., Git) and a collaborative development 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 ❯

client is a fast-growing financial services organisation seeking a Lead Data Scientist to join their data and analytics team. This is a hands-on role focused on developing predictive models, deploying autonomous decisioning frameworks, and driving innovation across the customer lifecycle. The successful candidate will work closely with cross-functional teams to deliver data-driven solutions in fraud … a commercially experienced data scientist to take ownership of key initiatives and shape the future of data science within a forward-thinking environment. Role and Responsibilities: * Develop and deploy predictive models to improve customer outcomes across multiple business areas. * Lead model implementation and policy setting to support autonomous decision-making. * Design and execute test-and-learn strategies to inform … and innovation using data. Key Skills and Experience: * 5+ years of experience delivering end-to-end data science solutions in a commercial setting. * Strong technical expertise in machine learning, predictive modelling, and AI. * Proficient in Python, R, SQL, and familiar with Power BI or similar visualisation tools. * Experience applying Gen AI tools or techniques is highly desirable. * Solid More ❯

senior leadership in a collaborative environment. This position sits within a growing Analytics and Insights team of four, focusing on the technical side of customer data analysis including statistical modelling, machine learning models, and data visualisation tools such as Power BI. You will manage extensive survey programmes, including over 1,000 customer surveys annually and transactional surveys, ensuring compliance … data-driven service improvements. Key Responsibilities: Design and manage comprehensive customer survey programmes, ensuring statistical robustness and regulatory compliance with TSM requirements Process and analyse large datasets using statistical modelling techniques and machine learning approaches to uncover meaningful customer insights Translate complex data into clear, actionable insights for business stakeholders Create compelling presentations and visual reports, demonstrating strong storytelling … models, enabling the business to better understand different tenant groups and tailor services accordingly Work closely with the Analytics and Insights team to contribute to strategic decision-making through predictive modelling and trend analysis Essential Requirements: Translate data and present findings with strong storytelling abilities, capable of simplifying complex analysis into actionable business insights Demonstrate strong presentation skills More ❯

insights. What you’ll be doing Work with Marketing, Digital, and Commercial teams to ensure analytics drive decision making. Optimise omni-channel campaigns (web, email, social, SEO) through analytics, predictive modelling, and segmentation. Analyse web and app performance, user journeys, and conversion trends. Support B2B analytics to understand and grow the value of partner relationships. Design models and More ❯

insights. What you’ll be doing Work with Marketing, Digital, and Commercial teams to ensure analytics drive decision making. Optimise omni-channel campaigns (web, email, social, SEO) through analytics, predictive modelling, and segmentation. Analyse web and app performance, user journeys, and conversion trends. Support B2B analytics to understand and grow the value of partner relationships. Design models and More ❯

Own customer insight and spot opportunities others miss Work directly with senior leaders—from C-suite down Connect online and offline data to build a full customer picture Support predictive modelling with the data science team Build dashboards in Power BI to help teams self-serve Present insights in a clear, engaging way that drives action Champion a More ❯

with 4+ years of experience to lead the Data Science team for a fast-growing technology company. You’ll work on large, complex datasets to uncover behavioural patterns, build predictive models, and drive data-led strategies that directly influence product and business decisions. What You’ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced … statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance through experimentation and analytics What We … 4+ years of experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills for presenting More ❯

with 4+ years of experience to lead the Data Science team for a fast-growing technology company. You’ll work on large, complex datasets to uncover behavioural patterns, build predictive models, and drive data-led strategies that directly influence product and business decisions. What You’ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced … statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance through experimentation and analytics What We … 4+ years of experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills for presenting More ❯

with 4+ years of experience to lead the Data Science team for a fast-growing technology company. You’ll work on large, complex datasets to uncover behavioural patterns, build predictive models, and drive data-led strategies that directly influence product and business decisions. What You’ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced … statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance through experimentation and analytics What We … 4+ years of experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills for presenting More ❯

with 4+ years of experience to lead the Data Science team for a fast-growing technology company. You’ll work on large, complex datasets to uncover behavioural patterns, build predictive models, and drive data-led strategies that directly influence product and business decisions. What You’ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced … statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance through experimentation and analytics What We … 4+ years of experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills for presenting More ❯

with 4+ years of experience to lead the Data Science team for a fast-growing technology company. You’ll work on large, complex datasets to uncover behavioural patterns, build predictive models, and drive data-led strategies that directly influence product and business decisions. What You’ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced … statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance through experimentation and analytics What We … 4+ years of experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills for presenting More ❯

and insights that inform content, marketing, and product strategies. Evaluate performance of articles and videos, and develop personalization algorithms to recommend the right content to the right users. Build predictive models to improve subscriber acquisition, retention, and lifetime value through churn prediction and pricing insights. Requirements: BSc/MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. More ❯

or equivalent practical experience. Nice-to-have skills: SQL/BigQuery knowledge and an understanding of database principles. Familiarity with Qlik Sense or Qlik View. Experience in campaign evaluation, predictive modelling, or operational research. Benefits include: Competitive salary Free onsite parking 31 days' holiday (including bank holidays), with the option to buy or sell. Private medical cover, health More ❯

and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models More ❯

and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models More ❯

and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models More ❯

and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models More ❯

and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models More ❯

and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models More ❯

a fast-paced, consumer-focused environment. Location: London Duration: 3-6 months Rate: £400 per day (Outside IR35) Start Date: ASAP What You'll Be Doing: Build and deploy predictive models to optimise delivery routes, reduce churn, and enhance customer satisfaction. Work across cloud platforms (Azure, AWS, GCP) to ingest, transform, and analyse large-scale datasets. Collaborate with cross More ❯

service capabilities. Deep understanding of solution design principles and the ability to deliver interlocking benefits across teams and platforms. Strong statistical grounding, including expertise in forecasting, clustering, optimization, and predictive modeling. Proficiency in Python, SQL, and cloud platforms (especially BigQuery). Commercial acumen in leveraging data to shape strategy and unlock business value. Exceptional data storytelling skills, translating complex More ❯

service capabilities. Deep understanding of solution design principles and the ability to deliver interlocking benefits across teams and platforms. Strong statistical grounding, including expertise in forecasting, clustering, optimization, and predictive modeling. Proficiency in Python, SQL, and cloud platforms (especially BigQuery). Commercial acumen in leveraging data to shape strategy and unlock business value. Exceptional data storytelling skills, translating complex More ❯