Data Scientist

Skip to main content Data Scientist hackajob Leeds, England, United Kingdom Data Scientist hackajob Leeds, England, United Kingdom 5 days ago 76 applicants See who hackajob has hired for this role Report this job Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. hackajob is collaborating with Sky Betting & Gaming to connect them with exceptional professionals for this role.LEEDSYour teamThe UKI Data Science team is a cross business chapter sitting in the Customer Super Tribe, working with other areas such as; Safety, Marketing, Gaming, Sports, and more. We work with a range of partners to deliver groundbreaking analytics and AI modelling solutions to help solve business problems.What You'll DoWork with the team to carry out analytical projects involving data collection, pre-processing, feature engineering, model development, validation, and deployment. Engage with business stakeholders to understand domain-specific challenges and opportunities, and collaborate during development to ensure alignment with requirements. Apply advanced statistical and machine learning algorithms to analyse large datasets, uncover patterns, and derive actionable insights to support business objectives. Develop and implement predictive and prescriptive models using machine learning algorithms and techniques, such as regression, classification, clustering, time series analysis, natural language processing, and deep learning. Create clear and compelling visualisations to communicate complex analytical findings effectively. Collaborate with collaborators (including business, product, and engineering) to understand requirements,...