Data Scientist
Role details
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Tech stack
Job description
opportunity to affect meaningful change and have your voice heard. We are a close team, who have the opportunity to learn and grow as OnBuy evolves.About the RoleAs our Data Scientist you will help drive growth and improve customer experience across OnBuy. You'll work closely with Product, Marketing and Seller teams to turn data into actionable insight, build predictive models, and influence commercial decisions at pace.Key responsibilities:Develop and deploy data science models to support key e-commerce use cases such a purchase propensities, marketing attribution, product recommendations and retention risk.Design and analyse experiments (A/B and multivariate testing) to evaluate product and marketing initiatives.Translate business problems into clear analytical questions and data science solutions.Continuously monitor model performance and refine models to ensure accuracy and effectiveness in an evolving ecomms landscape.Communicate insights and model outputs clearly to, A rapidly growing online marketplace is seeking a Data Scientist to enhance customer experience and drive growth. This role requires the ability to develop data-driven solutions to address critical business questions, collaborate closely with cross-functional teams, and..., Vertu Motors - Senior Ecommerce Marketing ManagerLocation: Gateshead (Hybrid Working) Department: Marketing Salary: Up to £50,000Here at Vertu Motors we are looking for a commercially focused Senior Ecommerce Marketing Manager to lead the performance and optimisation of our..., Data Science & AI Consultant Manchester, London, hybrid DEPT®/AI DEPT®/AI has a single mission: to make the best work in the industry using AI to enhance everything we do. This role sits within our Data & AI practice, which has deep expertise in leveraging AI. The team...
Requirements
non-technical stakeholders, influencing decisions.Collaborate with Data Engineers to ensure models are scalable, reliable and production ready.Work closely with analysts to share best practice, provide coaching, and raise overall data capability across the team.Support a culture of data-driven decision making across the business.EssentialDegree in Data Science, Mathematics, Computer Science, or a related field.Over 2 years data science experience ideally within an e-commerce, digital, or consumer business.Ability to focus on business outcomes (growth, conversion, retention, margin), not just models - and to prioritise work that delivers measurable impact.Confident in statistics, experimentation, and machine learning, with the judgement to choose the right level of complexity for the problem.Understanding of customer behaviour, funnels, marketing channels, pricing, and product performance - or the ability to learn this quickly.Can explain complex concepts simply, tell a compelling data story, and influence non-technical stakeholders to act on insights.Works effectively with analysts, data engineers, product and marketing teams - building reusable, well-documented, scalable solutions and raising capability around them.Excellent Python skills (e.g. pandas, numpy, scikit-learn, statsmodels) and strong expertise in SQL for data querying, manipulation, and transformation.Familiarity with cloud data platforms (e.g. BigQuery, Snowflake, Databricks).Excellent problem-solving skills.Desirable:Experience with recommendation systems, forecasting, or causal inference.Knowledge of marketing analytics (attribution, MMM, incrementality).Experience with data visualisation tools.Understanding of version control using Git.The salary on offer for this role is £65000- £70000 depending on experience.We also offer the following benefits:CompanyEquity- In return for helping us to grow, we'll offer you company equity, meaning you own a piece of this business we are all working so hard to build.25 days annual leave + Bank Holidays1 extra day off for your BirthdayEmployee Assistance ProgrammePerks at Work benefit platformOpportunities for career development and progressionThis role is a Hybrid role either from our Bournemouth or Manchester Office space in Media City 2 days per week.Our CommitmentOnBuy is an equal opportunities employer. We are dedicated to creating a fair and transparent workforce, starting with a recruitment process that does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age.