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ENI – Elizabeth Norman International

Data Science Manager (Market Research)

hace 3 días

City of London

Data Science Manager (This role may also be called Analytics Manager or Marketing Sciences Manager in other research businesses) Location: London (Hybrid, 2 days per week in office) Salary: Up to £65k plus bonus and benefits Type: Full-time, Permanent Are you an experienced data scientist looking to step into a role with real impact and visibility? We're hiring a Data Science Manager to join a growing analytics team delivering insights across public policy, consumer behaviour & brand strategy. The role is working in a growing market research and consultancy group. This position blends technical depth with consulting and communication skills. It’s ideal for someone who enjoys solving complex problems, leading projects and translating data into clear, actionable insights. You’ll work across advanced market research techniques, segmentation, max diff, conjoint, pricing, Turf etc within a collaborative team that values curiosity, learning and innovation. What you'll be doing: • Leading end-to-end data science projects, primarily using survey data, • Translating business questions into analytical solutions with practical impact, • Mentoring junior analysts and supporting team learning and development, • Presenting findings to clients and internal stakeholders in a clear and engaging way, • Exploring new approaches, including machine learning and AI, • Collaborating with colleagues across disciplines to design the right solutions What we’re looking for: • At least 3 to 5 years of experience in data science, with a strong focus on survey data, • Professional-level proficiency in Python or R, • Strong understanding of statistical and machine learning methods such as clustering and regression, • Hands-on experience with segmentation and preferably conjoint analysis, • Ability to communicate complex methods and results in plain English, • Experience leading projects and building relationships internally and externally, • A collaborative, proactive approach to solving problems Nice to have: • Experience or interest in public sector, policy, or current affairs, • Exposure to AI or automation tools and approaches, • Familiarity with text analytics, CRM data, forecasting, or behavioural modelling, • Understanding of marketing science methods such as TURF or key driver analysis, • Background in a relevant subject such as data science, economics, psychology, or engineering, with a quantitative element This role involves much more than just writing code. You’ll be working directly with clients and internal teams, helping shape methodologies, advise on strategy, and bringing insight to life. It’s a fast-paced, varied environment perfect for someone who thrives on both technical work and being client facing. The team and culture: • Hybrid working setup with two office days per week (Thursdays are team days), • Seven-person data science team with diverse academic and industry backgrounds, • Strong focus on innovation and continuous learning, with six hours per week set aside for personal development, • Collaborative culture with visibility and input across the wider business Apply below

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