Senior Data ScientistJLP Insights & Media website • London, England, United Kingdom

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Senior Data Scientist

JLP Insights & Media website

London, England, United Kingdom

London, England, United Kingdom

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****Location:**** ****People Management:**** No direct reports, but significant mentoring responsibilities.* End-to-End Solution Development: Design and develop data science solutions from problem definition through to implementation and business adoption, balancing model complexity with business value.* Model Building & Optimization: Transform complex data sets into models that optimize customer experience, revenue generation, and cost reduction.* Stakeholder Influence: Act as a trusted partner to various business domains, translating technical concepts into clear, concise, and understandable recommendations for both technical and non-technical audiences.* Technical Best Practices: Adhere to and champion best practices in SQL, Python, and Git within our tech stack (Snowflake, GCP, GitLab).* Mentoring & Community: Advise and mentor the wider data and insight community on data science use cases, acting as a subject matter expert (SME).* Governance & Ethics: Ensure all work complies with GDPR and adheres to the Partnership’s risk management and data privacy policies.* Agile Collaboration: Work within multidisciplinary agile teams (ML Engineers, Analysts, Architects) to deliver data-driven products on time and within budget.* Machine Learning & Statistics: Proven experience applying statistical and machine learning techniques to solve real-world business problems.* Python Proficiency: Expert user of Python and its relevant packages and libraries for data science.* Data Manipulation: Strong SQL skills and the ability to link complex data sets for actionable insights.* Communication & Influence: Excellent written and verbal communication skills, with a track record of working across functional teams to design technical solutions.* Analytical Mindset: A highly analytical approach with a proactive "problem-solving" attitude.* Sector Expertise: Previous experience in Retail, Marketing, or E-commerce.* Modern Tech Stack: Familiarity with Cloud technologies (GCP/Snowflake) and command-line tools.* Software Engineering & MLOps: Experience with the implementation of end-to-end ML solutions and Git version control.* Agile Delivery: Experience working in Agile teams and applying Agile methodologies.* Bayesian Modelling: Experience working with and implementing Bayesian statistical models in a commercial setting.
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London, England, United Kingdom

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English

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