1 to 25 of 155 Predictive Modelling Jobs in London

At Football Radar, our mission is to be the world-leading provider of football analytics. For over a decade, we have combined predictive modelling techniques with expert analysis and our proprietary datasets to deliver insights that drive success for our betting clients and football clubs. By combining the … go hand in hand. About The Role As a Quantitative Analyst on our prediction team, you will use our extensive datasets to enhance existing predictive models, research new methods, and turn your insights into production-ready solutions. This research will involve a mix of well-executed analyses and innovative … modelling to solve unique challenges in football analytics, where traditional methods often need to be adapted or reinvented. To achieve this, you will have the freedom to explore and develop your own ideas while working collaboratively with a team of quants, developers, and analysts, to combine technical expertise with More ❯

the organizations systems and processes. The team has a variety of skills and experience in technical domains such as Software development, Automation, Data-pipeline-modelling, IT project management, Data visualisation. We also pride ourselves on our close integration with non-technical/non-data teams as our success comes … GCP • Experience with Terraform • Strong Python skills • Experience with version control for data models (e.g., dbt testing frameworks, data documentation) • Demonstrated experience with data modelling concepts (dimensional modelling, star schemas) • Experience writing efficient and optimised SQL for large-scale data transformations • Understanding of data warehouse design principles and … working with large-scale spatial datasets (billions of rows) and performing geospatial at scale using BigQuery GIS or similar tools • Experience with advanced analytical modelling techniques, including statistical analysis and predictive modelling, particularly applying these to large-scale datasets to derive actionable insights • Knowledge of data governance More ❯

will blend advanced analytical skills with business acumen to deliver insights that shape strategic decisions and operational excellence. Key Responsibilities Advanced Data Analytics and Predictive Modeling Develop and implement sophisticated statistical models and machine learning algorithms to forecast trends, predict outcomes, and identify opportunities for performance enhancement. Utilize advanced More ❯

or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java More ❯

or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java More ❯

large data sets, as well as apply mathematical, statistical, and other data-driven analysis to address intelligence questions. Proven ability in using statistical analysis, predictive modelling and explanatory modelling to identify trends. Ability to work well under pressure and achieve results within the scheduled time-frame. Excellent More ❯

EDA) to uncover trends and patterns. Develop and apply advanced statistical and machine learning models to solve business problems, including forecasting, segmentation, optimization, and predictive modeling. Conduct rigorous data analysis, interpret results, and communicate findings to technical and non-technical audiences in a clear and compelling manner. Develop and More ❯

work in a fast-paced, dynamic environment and manage multiple priorities. Preferred Qualifications : Experience working with DBT Understanding of advanced analytics techniques such as predictive modeling. Benefits: Private Medical Insurance (London) Paid parental leave entitling primary caregivers to 16 weeks of full pay, and secondary 5 weeks of full More ❯

skills, leveraging SQL and likely Python, coupled with exceptional problem solving skills and commercial acumen. You will employ a range of techniques across financial modelling, clustering, LTV analysis, product analytics, predictive modelling all to drive funnel conversions, optimise customer experience and support process improvement. Ultimately, we need More ❯

and patterns. Collaborate with cross-functional teams to understand business objectives and translate them into new data products. Perform data mining, statistical analysis, and predictive modelling to drive business decisions. Build data architecture and pipelines to support data products. Build predictive models for various business applications (e.g. More ❯

and actionable results. Strong PowerPoint and presentation/communication skills. Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc. Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques More ❯

and actionable results. Strong PowerPoint and presentation/communication skills. Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc. Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques More ❯

use datasets. Support end-users and collaborate with them to improve readiness of base datasets for modelling. Collaborate with Data Engineers, Pricing Actuaries and Predictive Modellers to deliver innovative data solutions for data-driven pricing. Develop knowledge of the company's IT landscape, data and data systems. Contribute to More ❯

skills, leveraging SQL and likely Python, coupled with exceptional problem solving skills and commercial acumen. You will employ a range of techniques across financial modelling, clustering, LTV analysis, product analytics, predictive modelling all to drive funnel conversions, optimise customer experience and support process improvement. Ultimately, we need More ❯

and actionable results. Strong PowerPoint and presentation/communication skills. Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc. Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques More ❯

Science ideally with experience as an Data Scientist or similar Proficiency with data mining, mathematics, and statistical analysis Advanced experience in pattern recognition and predictive modelling Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS, R) Ability to work effectively in a dynamic More ❯

a Data Scientist, you will: Dive into large datasets to extract meaningful insights and identify trends that drive strategic decision-making. Develop and refine predictive models and machine learning algorithms to address complex business challenges. Partner with cross-functional teams, including data engineers, analysts, and product managers, to design More ❯

on user behavior, optimizing customer journeys, or building new tools to help improve user experience with the Product teams (New metrics, new user segmentation, predictive models, ). This position will be highly rewarding and lots of fun. Training and development opportunities will abound in this position, and high-performing More ❯

What You'll Be Doing: As a Data Scientist, your responsibilities will include: Collecting, analyzing, and interpreting large datasets to solve business challenges. Building predictive models and machine learning algorithms to inform product and business decisions. Collaborating with developers, engineers, and product teams to integrate data-driven solutions. Conducting More ❯

experts. Participate in different projects as a data scientist and data engineer Deliver clean, well-tested code that's reliable, maintainable, and scalable Build predictive models and communicate results with stakeholders Deploy working solutions Develop dashboards and other visualizations for financial experts. Develop processes for data collection, quality assessment More ❯

on Machine Learning, Statistics, Operational research or in a highly quantitative field. 5+ years of hands-on experience in big data, machine learning and predictive modeling. 3+ year people management and cross department functional experience. Knowledge of a statistical analysis package such as R, Tableau, and high-level programming More ❯

of anti-fraud, investigations, anti-bribery and corruption, and regulatory requirements analysis skillsets Proven knowledge and experience using advanced analytic tools for data visualization, predictive modeling, data management, ETL, data aggregation, and dynamic reporting Hands-on technical experience mining and analyzing structured data with a strong working knowledge of More ❯

their best-in-class data science capability and deep expertise across FMCG and retail sectors. As a Senior Data Scientist, you’ll apply advanced modelling techniques to drive impactful, data-led solutions for major consumer brands. THE COMPANY This consultancy has built a reputation for delivering high-quality analytics … data. THE ROLE As a Senior Data Scientist, you’ll work closely with clients to understand their customer behaviour through deep data analysis and predictive modelling. You’ll leverage tools such as Python, PySpark, SQL , and Hadoop to build and deploy models that influence customer strategy across areas like … to best practices YOUR SKILLS & EXPERIENCE To be considered for this role, you will ideally have: Solid experience working with customer data and applying predictive modelling techniques Proficiency in SQL , Python/PySpark , and exposure to big data environments such as Hadoop Commercial experience in the FMCG or More ❯

in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create solutions to challenging business problems. We prioritise clean, well-tested code with a culture … concepts to non-technical audiences Required Experience Leading E2E projects, from inception, planning/prioritisation to delivery including monitoring and alerting Designing experiments and modelling to generate actionable insights and enhance business performance Proficient in machine learning and statistical methods for predictive modelling and forecasting Experience deploying More ❯

you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. What You’ll Do Build predictive models for campaign optimisation, forecasting, and price elasticity analysis. Support junior data scientists while contributing to high-impact projects. Create and implement AI-driven More ❯