176 to 200 of 301 Predictive Modelling Jobs in the UK

development of executive-level reporting and insights Lead advanced analytics projects to identify business opportunities Design and implement metrics to track organizational health Create predictive models to support strategic decision-making Stakeholder Management Partner with Sales Leadership team to support their sales operational needs Manage complex, cross-functional program More ❯

data to shape features, game economy, and improve game metrics. Define customer segments that help the product teams to make the optimal decisions. Build predictive models to forecast social behaviour, retention, monetisation metrics, etc. Qualifications Proven experience with programmatic analysis tools to enhance data-driven strategies. Strong ability to 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 ❯

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 ❯

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 ❯

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 ❯

and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define … the business. Develop, improve, and maintain customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance … Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

in A/B testing and CRO methodologies, with the ability to develop data-driven hypotheses. Data Science Knowledge : Familiarity with concepts like clustering, predictive modelling, and basic statistical techniques. Technical Skills : Knowledge of BigQuery/SQL/Python is desirable but not essential. Strong communication skills – experience More ❯

have experience working in a digital, data or product leadership role in an agile organisation. Strong understanding of statistics, structured and unstructured data analysis, predictive modelling techniques and data visualisation as well as good command of emerging methodologies like Artificial Intelligence (AI). Must be well versed in More ❯

seeking an AI Engineer to drive AI innovation across our organisation. This role will be instrumental in exploring and implementing AI solutions (prompt engineering, predictive modelling, etc.) and AI agent builders to enhance editorial workflows, commercial operations, and product development. Working closely with cross-functional teams, the ideal More ❯

retail and customer analytics. Requirements: 5+ years' experience in Data Science, with a strong focus on customer or marketing analytics. Proven experience in building predictive models for segmentation, churn, LTV, personalisation, or attribution. Strong technical skills in Python and SQL, with experience deploying production-grade ML solutions. Confidence working More ❯

retail and customer analytics. Requirements: 5+ years' experience in Data Science, with a strong focus on customer or marketing analytics. Proven experience in building predictive models for segmentation, churn, LTV, personalisation, or attribution. Strong technical skills in Python and SQL, with experience deploying production-grade ML solutions. Confidence working More ❯

competitive salary and share options package are available. Responsibilities: Define and lead the data science and bioinformatics strategy across the full data lifecycle Build predictive models and scalable pipelines for DNA methylation and multi-omics data Apply machine learning to support personalised health recommendations Develop automated reporting systems and More ❯

competitive salary and share options package are available. Responsibilities: Define and lead the data science and bioinformatics strategy across the full data lifecycle Build predictive models and scalable pipelines for DNA methylation and multi-omics data Apply machine learning to support personalised health recommendations Develop automated reporting systems and More ❯