6 of 6 Predictive Modelling Jobs in West Yorkshire

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 predictive modelling 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 predictive modelling 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 predictive modelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What We Offer Competitive salary and More ❯

range of clients across financial services and utilities. The Role Joining a high-performing Decision Science team, your remit will involve end-to-end predictive modelling and analytics. You’ll play a vital role in shaping strategic decisions across the business. Key Responsibilities: Develop and optimise scorecards and … techniques Candidate Profile You’ll need either: A Master’s or PhD in a STEM subject or 1–2 years’ relevant experience in a modelling role within financial services Essential: Strong coding ability in Python Desirable: SQL proficiency Exposure to credit risk, collections, or pricing Knowledge of machine learning More ❯

within the cannabis industry. What You'll Bring: You have 3-5 years of experience in data science, specializing in time series forecasting and predictive modeling You have a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field You have … frameworks You have hands-on experience with leading time series forecasting techniques, including Prophet, ARIMA, and LSTM, enabling you to uncover trends and drive predictive insights You are familiar with big data tools and cloud platforms, including Azure, Snowflake, Hex, and dbt You have strong analytical, problem-solving, and More ❯

SCIENCE ANALYST £32,000 - £40,000 LEEDS A well-established financial services organisation is hiring a Decision Science Analyst to support the development of predictive models across strategy, pricing, litigation, and forecasting. This is a hands-on analytics role, ideal for someone looking to apply statistical and machine learning … that shape key business decisions. THE ROLE As a Decision Science Analyst, your day-to-day responsibilities include but are not limited to: Building predictive models using machine learning methods to improve forecasting and performance across key areas Presenting findings and translating complex analysis into actionable insights for senior … outcomes Supporting strategy development through the delivery of robust, scalable analytical tools Collaborating with analysts to share best practices and enhance the team’s modelling capabilities SKILLS AND EXPERIENCE Experience developing credit risk models using logistic regression or similar Knowledge of machine learning approaches such as random forest and More ❯