76 to 100 of 160 Predictive Modelling Jobs in London

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Integrity & Monitoring You'll own the accuracy of our sales pipeline and revenues by implementing rigorous forecasting methodologies, maintaining data integrity, and continuously refining predictive models. You'll ensure forecasts are reliable and align with the company's financial goals, directly contributing to performance-based compensation. Share regular reports More ❯

an impact on core business decisions and customer experiences from day one. You'll collaborate with our Product, Engineering, and Commercial teams to build predictive models and data-driven solutions that power everything from eligibility checks to fraud detection, pricing, and beyond. Here's what you'll get up More ❯

Be Working On: You’ll be joining a multi-disciplinary data team to support analysis across: Inventory & Revenue Analytics – Improve advertising pricing strategies using predictive modelling and commercial data Audience Insights – Who's listening, how often, and how they're engaging – you’ll help answer the big questions … SQL skills and comfort working with large datasets Experience with A/B testing and product or performance analytics Able to build and interpret predictive/statistical models Excellent communication skills – able to translate data into insight Proactive problem solver with a commercial mindset Previous experience in media, broadcasting More ❯

GA4) or Adobe Analytics Familiarity with CRO platforms like Adobe Target , VWO , Optimizely , or Hotjar A working knowledge of data science concepts (e.g. clustering, predictive modelling) Strong communication and storytelling abilities – turning data into meaningful narratives is key How to Apply If this sounds like the right opportunity More ❯

growing sports betting company, backed by top-tier investors, to find a Head of Data Science . You'll lead the data strategy, build predictive models, and scale a world-class team – all while working directly with the founders. What you'll do: Own the data science roadmap and More ❯

growing sports betting company, backed by top-tier investors, to find a Head of Data Science . You'll lead the data strategy, build predictive models, and scale a world-class team – all while working directly with the founders. What you'll do: Own the data science roadmap and More ❯

day: Break down complex business challenges into measurable and data-driven metrics and formulate hypothesis to test and validate potential solutions. Build and deploy predictive models using advanced frameworks and algorithms. Adapt and customise models on a case-by-case basis for specific organisational needs. Continuously improve model performance More ❯

day: Break down complex business challenges into measurable and data-driven metrics and formulate hypothesis to test and validate potential solutions. Build and deploy predictive models using advanced frameworks and algorithms. Adapt and customise models on a case-by-case basis for specific organisational needs. Continuously improve model performance More ❯

analysing and using data from a variety of complex, high-volume structured and unstructured databases, third-party sources, and publicly available data. Understand how predictive models, machine learning, and AI algorithms are used to develop insights and identify strategies for improvement. Use technical expertise to create tactical tools and More ❯

analysing and using data from a variety of complex, high-volume structured and unstructured databases, third-party sources, and publicly available data. Understand how predictive models, machine learning, and AI algorithms are used to develop insights and identify strategies for improvement. Use technical expertise to create tactical tools and More ❯

computing, high-performance computing PREFERRED QUALIFICATIONS - Experience in patents or publications at top-tier peer-reviewed conferences or journals - 3+ years of hands-on predictive modeling and large data analysis experience - Experience working with large-scale distributed systems such as Spark, Sagemaker or similar frameworks Amazon is committed to More ❯

maintain acquisition and engagement (e.g. influencer/affiliate, organic, VIP, paid acquisition etc.) dashboards to monitor user growth and campaign effectiveness. Assist in building predictive models to guide strategic decisions on acquisition and engagement, encompassing time series, predictive analytics, and recommender systems. Analyze data to derive actionable insights More ❯

produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Job Responsibilities: • Apply knowledge of statistics, machine learning, programming, data modelling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. • Use … a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. • Generate and test hypotheses and analyse and interpret the results of product experiments. • Work with product engineers to translate prototypes into new products, services, and features More ❯