At Football Radar, our mission is to be the world-leading provider of football analytics. For over a decade, we have combined predictivemodelling 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 predictivemodelling, 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 predictivemodelling, 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 predictivemodelling, 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, predictivemodelling and explanatory modelling to identify trends. Ability to work well under pressure and achieve results within the scheduled time-frame. Excellent More ❯
actionable insights from complex crime and intelligence data, supporting data-driven decision-making in crime prevention, investigations, and public safety. This involves leveraging statistical modelling, machine learning, and other data science techniques to identify patterns, predict trends, and generate intelligence that informs policing strategies. EXPERIENCE: 5+ years of experience … to real world problems, preferably in a public sector. Good experience of working with large and complex datasets and handling sensitive data. Experience with predictivemodelling, machine learning, data visualizations and dashboards. SKILLS ATTRIBUTES Proficiency in statistical modelling and machine learning techniques. This includes skills in regression 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 ❯
and actionable results. Strong PowerPoint and presentation/communication skills. Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc. Expertise in predictivemodelling, 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 predictivemodelling, 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 ❯
and actionable results. Strong PowerPoint and presentation/communication skills. Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc. Expertise in predictivemodelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques More ❯
race analysis. Assist in the integration of third-party data sources (e.g. MoTeC, etc). Drive innovation in the use of machine learning or predictive models to enhance performance decision-making. Provide trackside support as required across the race calendar, requiring regular interstate travel Qualifications Bachelor’s degree in … as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictivemodelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What We Offer Competitive salary and More ❯
south west london, south east england, united kingdom
Team 18
race analysis. Assist in the integration of third-party data sources (e.g. MoTeC, etc). Drive innovation in the use of machine learning or predictive models to enhance performance decision-making. Provide trackside support as required across the race calendar, requiring regular interstate travel Qualifications Bachelor’s degree in … as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictivemodelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What We Offer Competitive salary and More ❯
race analysis. Assist in the integration of third-party data sources (e.g. MoTeC, etc). Drive innovation in the use of machine learning or predictive models to enhance performance decision-making. Provide trackside support as required across the race calendar, requiring regular interstate travel Qualifications Bachelor’s degree in … as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictivemodelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What We Offer Competitive salary and 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 ❯
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 modeling Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS, R) Ability to work effectively in a dynamic, research More ❯
Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and More ❯
Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and 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 ❯
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 predictivemodelling 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 predictivemodelling and forecasting Experience deploying More ❯
