1 to 25 of 107 Predictive Modelling Jobs in London

deliver impactful analytics solutions using Power BI and Azure Analysis Services. Lead a team of analytics professionals, mentoring and setting best practices. Introduce machine learning and AI to support predictive insights. Collaborate with stakeholders to drive data-informed decisions across the organisation. What Youll Bring Proven experience in analytics, BI, or data science with both hands-on technical delivery … and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field or equivalent experience; Relevant certifications in Power BI, Azure, or data science are a plus. About us At MSI … deliver impactful analytics solutions using Power BI and Azure Analysis Services. Lead a team of analytics professionals, mentoring and setting best practices. Introduce machine learning and AI to support predictive insights. Collaborate with stakeholders to drive data-informed decisions across the organisation. What You Will Bring Proven experience in analytics, BI, or data science with both hands-on technical More ❯

influence commercial decisions Questions about this role? Reach out to Credit risk and Customer Insights Focus Support strategic decision-making around debt, credit risk and customer segmentation Build robust predictive models and propensity models to better understand our customers Partner with business stakeholders to uncover opportunities for data science applications, including NLP and Gen AI Questions about this role … advanced analytics in our Flex space, a strategically important area Design, build, and deploy models and solutions that deliver measurable business impact Explore new ways to leverage data for predictive modelling, automation, and intelligent insights Questions about this role? Reach out to Are we the perfect match? 5-7+ years of hands-on experience as a Data … curiosity, and mentoring others; motivated to create positive change through data It would be great if you had: Experience in the energy or retail sector Background in pricing, commercial modelling, credit risk, or debt Exposure to PySpark or other big data tools Experience with NLP, Generative AI, or advanced predictive modelling 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 … CONSIDERED Please apply directly by emailing 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 ❯

engineering, model design, training, and deployment. Perform data mining, exploration, and statistical analysis to uncover trends and actionable insights. Create data visualizations, reports, dashboards, and perform data audits. Leverage predictive models to optimize customer experiences and drive business outcomes. Create automated anomaly detection systems to monitor and ensure data quality and operational performance. Qualifications Bachelor's degree in Data 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 ❯

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 ❯

teams to build scalable systems, maintain robust data pipelines, and integrate machine learning models into real-world applications that make a measurable impact. Key Responsibilities: Apply machine learning and predictive modelling to optimise player development, grassroots participation, and tournament planning Perform clustering and statistical analysis on historical performance data to identify tactical and developmental insights Develop computer vision … Python and R Microsoft Fabric, Azure Synapse, SQL Power BI, matplotlib, Plotly Azure (RBAC, AAD, Blob Storage); experience with AWS or GCP is also valued Strong foundation in statistics, modelling, and data wrangling Scikit-learn, TensorFlow, PyTorch Soft Skills: Ability to translate business problems into analytical solutions Confident communicator capable of presenting insights to non-technical stakeholders Effective team More ❯

insights that directly influence commercial, operational, and energy strategies. The Role As Data Scientist , you'll act as the analytical lead across the business - tackling forecasting, pricing, and data modelling projects to support commercial, operations, energy, and marketing teams.You'll help answer key strategic questions, such as: How should we price energy dynamically across the day? What patterns exist … charging behaviour? How can we use data to drive operational efficiency and profitability? This is a hands-on analytical role , ideal for someone who enjoys statistical problem-solving, building predictive models, and presenting clear insights that drive action - but not a pure machine learning role . Key Responsibilities Develop and maintain forecasting and pricing models Support business teams with … actionable insights and data storytelling Analyse large data sets in Snowflake/AWS using SQL and Python Apply statistical techniques (segmentation, regression, predictive modelling) Partner with stakeholders to translate business questions into data-driven answers About You Strong experience with SQL and Python (Jupyter Notebooks) Solid grounding in statistical analysis and forecasting methods Commercially minded - able to connect More ❯

insights that directly influence commercial, operational, and energy strategies. The Role As Data Scientist , you'll act as the analytical lead across the business - tackling forecasting, pricing, and data modelling projects to support commercial, operations, energy, and marketing teams. You'll help answer key strategic questions, such as: How should we price energy dynamically across the day? What patterns … charging behaviour? How can we use data to drive operational efficiency and profitability? This is a hands-on analytical role , ideal for someone who enjoys statistical problem-solving, building predictive models, and presenting clear insights that drive action - but not a pure machine learning role . Key Responsibilities Develop and maintain forecasting and pricing models Support business teams with … actionable insights and data storytelling Analyse large data sets in Snowflake/AWS using SQL and Python Apply statistical techniques (segmentation, regression, predictive modelling) Partner with stakeholders to translate business questions into data-driven answers About You Strong experience with SQL and Python (Jupyter Notebooks) Solid grounding in statistical analysis and forecasting methods Commercially minded - able to connect 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 ❯

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 ❯

with GDPR, ISO 27001, and security best practices. Partner with Finance, Marketing, IT, and Operations to integrate data solutions into business strategy. Drive AI and machine learning initiatives, building predictive models to improve operational efficiency. Mentor and lead a high-performing team, fostering a culture of continuous improvement and innovation. Key Skills & Experience: Expertise in cloud platform (Azure) and More ❯

with GDPR, ISO 27001 , and security best practices. Partner with Finance, Marketing, IT, and Operations to integrate data solutions into business strategy. Drive AI and machine learning initiatives , building predictive models to improve operational efficiency. Mentor and lead a high-performing team, fostering a culture of continuous improvement and innovation. Key Skills & Experience: Expertise in cloud platforms (Azure) and 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 ❯

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 ❯

simplify and operationalise models to drive business decisions, enabling the company to better understand what drives positive customer experiences and identify opportunities for improvement. Key Responsibilities Build and enhance predictive models to assess customer satisfaction, loyalty, and post-complaint behaviour . Identify key drivers behind positive customer experiences and develop models to optimise service outcomes. Support the expansion and … Data Scientist within a customer, marketing, or consumer analytics environment. Strong proficiency in Python for data manipulation, analysis, and model development. Experience working with Vertex AI Solid understanding of predictive modelling , causal inference , optimisation , or uplift modelling . Demonstrated ability to simplify technical work for senior business audiences. Collaborative mindset with the ability to take on feedback More ❯

a skilled Data Scientist to join our dynamic team on a contract basis. You will work closely with cross-functional teams to extract actionable insights from complex datasets, build predictive models, and support data-driven decision-making. This is a hybrid role, offering flexibility while being actively involved in the London office. Key Responsibilities Analyze large, structured and unstructured … datasets to identify patterns and trends. Develop, validate, and deploy predictive models using machine learning and statistical techniques. Translate business requirements into technical solutions and actionable insights. Collaborate with business stakeholders, data engineers, and analysts to support analytics initiatives. Create dashboards, reports, and visualizations to communicate insights to non-technical stakeholders. Ensure data quality, integrity, and security throughout the … role. Strong programming skills in Python, R, or SQL . Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch . Solid understanding of statistics, predictive modeling, and data mining techniques. Experience with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn . Familiarity with cloud platforms (AWS, Azure, GCP) is a 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 ❯

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 ❯

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 ❯