1 to 25 of 49 Predictive Modelling Jobs in Central London

OPPORTUNITY A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. You’ll be part of a highly skilled R&D team building next-generation AI solutions for real-time insights, performance optimisation, and immersive … sports analytics. THE ROLE Design, develop, and deploy AI/ML models focused on sports analytics, predictive modelling, and computer vision. Collaborate with data scientists, software engineers, and sports analysts to translate real-world data into actionable insights. Optimise AI systems for real-time environments, integrating with live data feeds and cloud infrastructure. Research and prototype cutting-edge … apply directly by emailing jordanna.ramsey@searchability.com with your CV and availability. KEYWORDS: AI Engineer, Machine Learning Engineer, Sports Analytics, Computer Vision, Deep Learning, Python, TensorFlow, PyTorch, MLOps, Data Science, Predictive Modelling, Sports Tech, AI in Sports More ❯

OPPORTUNITY A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. You’ll be part of a highly skilled R&D team building next-generation AI solutions for real-time insights, performance optimisation, and immersive … sports analytics. THE ROLE Design, develop, and deploy AI/ML models focused on sports analytics, predictive modelling, and computer vision. Collaborate with data scientists, software engineers, and sports analysts to translate real-world data into actionable insights. Optimise AI systems for real-time environments, integrating with live data feeds and cloud infrastructure. Research and prototype cutting-edge … apply directly by emailing jordanna.ramsey@searchability.com with your CV and availability. KEYWORDS: AI Engineer, Machine Learning Engineer, Sports Analytics, Computer Vision, Deep Learning, Python, TensorFlow, PyTorch, MLOps, Data Science, Predictive Modelling, Sports Tech, AI in Sports More ❯

Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural More ❯

regions. Your work will directly impact trading, commercial strategy, and financial performance Responsibilities include: • Analyse large datasets and KPIs to identify trends, patterns, and business opportunities. • Develop and maintain predictive models to forecast market trends, customer behaviour, and financial indicators. • Provide actionable insights and recommendations to stakeholders across regional and cross-functional teams. • Monitor and evaluate commercial initiatives to More ❯

regions. Your work will directly impact trading, commercial strategy, and financial performance Responsibilities include: • Analyse large datasets and KPIs to identify trends, patterns, and business opportunities. • Develop and maintain predictive models to forecast market trends, customer behaviour, and financial indicators. • Provide actionable insights and recommendations to stakeholders across regional and cross-functional teams. • Monitor and evaluate commercial initiatives to More ❯

key performance and operational metrics. Deliver actionable insights through claims portfolio and operational analytics to inform underwriting and process improvement. Partner with in-house data science teams to develop predictive models and advanced analytics tools. Collaborate with underwriting, actuarial, and claims operations teams to enhance MI reporting and KPI dashboards. Ensure robust data governance and integrity across all claims More ❯

key performance and operational metrics. Deliver actionable insights through claims portfolio and operational analytics to inform underwriting and process improvement. Partner with in-house data science teams to develop predictive models and advanced analytics tools. Collaborate with underwriting, actuarial, and claims operations teams to enhance MI reporting and KPI dashboards. Ensure robust data governance and integrity across all claims More ❯

Following a recent restructure, the data function is entering an exciting phase of growth and investment, focused on delivering a cutting-edge data platform and embedding advanced analytics and predictive capabilities throughout the organisation. THE TEAM You’ll lead a growing central data and analytics function, currently a small but capable team of engineers and analysts, with headcount expansion … planned over the next year. The team manages the full data lifecycle — from ingestion and governance through to reporting and predictive modelling, supporting departments across the organisation, including finance, digital, marketing, and operations. It’s a collaborative environment that values innovation, technical credibility, and strong stakeholder relationships. THE ROLE As Head of Data & Analytics, you’ll take ownership … ensuring best practice across all data activities. Lead on reporting and insight standardisation through tools such as Power BI and Omni, ensuring a consistent view of business performance. Drive predictive analytics and machine learning initiatives, including customer lifetime value and propensity modelling. Collaborate cross-functionally with commercial, finance, and digital teams to ensure insights translate into measurable business outcomes. More ❯

and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive modelling, segmentation, or pricing analytics Ability to work independently and communicate insights clearly to non-technical stakeholders WHY APPLY? Play a central role in shaping analytics for one More ❯

and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive modelling, segmentation, or pricing analytics Ability to work independently and communicate insights clearly to non-technical stakeholders WHY APPLY? Play a central role in shaping analytics for one More ❯

from a major bank but the feel of fintech innovation. Responsibilities: Advise business leaders on data-driven strategic decisions. Improve corporate client and individual customer outcomes. Develop and maintain predictive models using data science and machine learning. Build models for customer lifetime value and other key metrics. Continuously refine analytics through iterative improvements. Deploy models into production to enable More ❯

evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable systems 💡 Contribute to research and experimentation around model More ❯

evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable systems 💡 Contribute to research and experimentation around model More ❯

edge betting products. Key Responsibilities Build and optimise data pipelines and ETL workflows in AWS using Python and SQL. Partner with analysts and quants to deliver reliable datasets for predictive modelling and pricing. Design and maintain data models supporting trading, risk, and customer behaviour analytics. Develop Power BI dashboards to provide insights across trading and product teams. Ensure … tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting data models for forecasting, pricing, or predictive analytics. Strong communication and stakeholder management skills. Why join? Be part of a fast-growing sports betting business shaping the future of data-driven gaming. Direct exposure to modelling … data tools. Competitive salary, strong bonus potential, and career progression. A collaborative, high-performance culture at the intersection of data and sports. If you’re a Data Engineer with modelling expertise who’s passionate about data, sport, and innovation, we’d love to hear from you. More ❯

with the CIO and senior leadership team to define where and how data can deliver the most value. You’ll help the organisation move from descriptive reporting to truly predictive and prescriptive insights — applying advanced machine learning and data science to real-world challenges such as: Identifying patterns in student engagement and performance. Predicting churn rates and optimising retention. … backed environment. What You’ll Do Establish and lead the data science and machine learning capability. Partner with the CIO and executive team to define data priorities and build predictive solutions. Translate complex insights into clear, actionable outcomes for business stakeholders. Build the foundation for advanced analytics and data-driven decision-making across the organisation. Collaborate across application, marketing … or advanced analytics in a scaling or transformative environment. Comfortable working with senior stakeholders and translating technical concepts into strategic outcomes. Strong technical foundation across machine learning, forecasting, statistical & predictive modelling/analytics. Commercially minded — able to identify high-impact opportunities and measure value delivered. Tech stack is open for this hire to implement best practices but this More ❯

with the CIO and senior leadership team to define where and how data can deliver the most value. You’ll help the organisation move from descriptive reporting to truly predictive and prescriptive insights — applying advanced machine learning and data science to real-world challenges such as: Identifying patterns in student engagement and performance. Predicting churn rates and optimising retention. … backed environment. What You’ll Do Establish and lead the data science and machine learning capability. Partner with the CIO and executive team to define data priorities and build predictive solutions. Translate complex insights into clear, actionable outcomes for business stakeholders. Build the foundation for advanced analytics and data-driven decision-making across the organisation. Collaborate across application, marketing … or advanced analytics in a scaling or transformative environment. Comfortable working with senior stakeholders and translating technical concepts into strategic outcomes. Strong technical foundation across machine learning, forecasting, statistical & predictive modelling/analytics. Commercially minded — able to identify high-impact opportunities and measure value delivered. Tech stack is open for this hire to implement best practices but this More ❯

equity–backed green tech business with major investment into data and analytics! THE ROLE As a Senior Analyst, you will be involved in the following: Delivering segmentation, regression, and predictive analysis to inform commercial decisions Building forecasting models and analysing customer and usage patterns Supporting dynamic pricing initiatives to optimise revenue and energy efficiency Translating analysis into clear, actionable … engineering and reporting teams to ensure high-quality data infrastructure YOUR SKILLS AND EXPERIENCE Strong skills in SQL and Python (AWS experience desirable) Background in statistical analysis, forecasting, or predictive modelling Experience working in fast-paced, smaller team environments (not just large corporates) Excellent communication skills being able to take ownership and lead analysis projects independently Proactive, commercially 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 ❯

AI/ML-Driven PropTech I am currently working with start/scale up within the PropTech sector looking to hire a Data Scientist to work on high-impact predictive modelling projects in a fast-growing company. This role offers the opportunity to work end-to-end on ML models, helping to revolutionise the property industry by leveraging … data-driven insights. As a Data Scientist, you’ll be building and optimising predictive models to understand trends in the property market, such as likelihood of sale and customer retention. You’ll work closely with Data Engineers and Product teams to drive AI/ML innovation while ensuring models are scalable and impactful. What You’ll Be Doing: Developing … predictive models to forecast property trends and customer behavior. Leveraging MLOps best practices to ensure efficient model deployment and monitoring. Working end-to-end across the data pipeline – from data extraction to model evaluation. Collaborating with cross-functional teams to turn insights into actionable business decisions. Tech Stack & requirements: Python | SQL | Snowflake | DBT | Tableau | Dataiku 3+ years of experience More ❯

role in their data-driven journey, working across customer, marketing, commercial, geospatial, and operations datasets to uncover insights that matter. What you’ll do: Lead advanced analytics projects, including modelling, forecasting, and deep-dive insights Translate complex data into actionable recommendations for business leaders Work across diverse datasets – from customer journeys to operational performance and geospatial intelligence Partner with … driven sustainability strategies Drive innovation in how we use analytics to achieve commercial and environmental impact Experience required: Strong experience in SQL and Python for data manipulation, analysis, and modelling Proven background in advanced analytics, forecasting, or predictive modelling Ability to connect data with business strategy, delivering clear and actionable insights Experience with commercial, marketing, or operational More ❯

with senior stakeholders across marketing, finance, and operations to ensure the data infrastructure supports business growth and audience understanding. Alongside this, you will shape the roadmap for advanced analytics, predictive modelling, and machine learning initiatives that drive customer engagement and commercial performance. Key Responsibilities Implement and evolve the business-wide data strategy aligned with commercial goals. Lead the … design and scaling of the central data platform in GCP. Oversee governance, compliance, and data quality frameworks. Standardise reporting and insights delivery through Power BI and Omni. Deploy predictive analytics models, including CLV and propensity scoring. Partner with cross-functional teams to enable smarter use of data across digital and physical channels. Lead, mentor, and grow a high-performing … experience leading data teams across engineering, analytics, and BI. Strong technical understanding of modern data platforms and pipelines. Skilled in stakeholder management, governance, and cross-functional collaboration. Experience building predictive models or enabling ML-driven insights. Background within entertainment, media, or audience-based industries is advantageous. More ❯

with senior stakeholders across marketing, finance, and operations to ensure the data infrastructure supports business growth and audience understanding. Alongside this, you will shape the roadmap for advanced analytics, predictive modelling, and machine learning initiatives that drive customer engagement and commercial performance. Key Responsibilities Implement and evolve the business-wide data strategy aligned with commercial goals. Lead the … design and scaling of the central data platform in GCP. Oversee governance, compliance, and data quality frameworks. Standardise reporting and insights delivery through Power BI and Omni. Deploy predictive analytics models, including CLV and propensity scoring. Partner with cross-functional teams to enable smarter use of data across digital and physical channels. Lead, mentor, and grow a high-performing … experience leading data teams across engineering, analytics, and BI. Strong technical understanding of modern data platforms and pipelines. Skilled in stakeholder management, governance, and cross-functional collaboration. Experience building predictive models or enabling ML-driven insights. Background within entertainment, media, or audience-based industries is advantageous. More ❯

Harmsworth Media (the I Paper 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 and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition … actionable insights to stakeholders across 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, product and editorial, to ensure … a subscription-based business . 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 skills , with the ability to More ❯

Harmsworth Media (the I Paper 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 and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition … actionable insights to stakeholders across 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, product and editorial, to ensure … a subscription-based business . 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 skills , with the ability to More ❯

future, not maintain the past. They are looking for a passionate and experienced Senior Data Scientist/Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural More ❯