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For Companies At a Glance
- Tasks: Lead data science projects, translating complex data into actionable insights.
- Company: Join a dynamic market research consultancy focused on public policy and consumer behaviour.
- Benefits: Enjoy hybrid working, personal development time, and a competitive salary with bonuses.
- Why this job: Make a real impact while collaborating in a culture that values innovation and learning.
- Qualifications: 3-5 years in data science, proficient in Python or R, with strong statistical knowledge.
- Other info: Work closely with clients, shaping methodologies and strategies in a fast-paced environment.
The predicted salary is between 43200 - 78000 £ per year.
Job Description
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
Data Science Manager (Market Research) employer: ENI - Elizabeth Norman International
Contact Detail:
ENI - Elizabeth Norman International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager (Market Research)
✨Tip Number 1
Familiarise yourself with the latest trends in data science, especially those related to market research. Understanding advanced techniques like segmentation and conjoint analysis will not only boost your confidence but also show your potential employer that you're proactive and knowledgeable.
✨Tip Number 2
Network with professionals in the field of data science and market research. Attend industry events or webinars where you can meet people who work at StudySmarter or similar companies. Building these connections can provide valuable insights and possibly even referrals.
✨Tip Number 3
Prepare to discuss your experience with survey data and how you've translated complex data into actionable insights. Be ready to share specific examples during interviews, as this will demonstrate your ability to lead projects and communicate effectively with clients.
✨Tip Number 4
Showcase your collaborative skills by highlighting any past experiences where you've worked in a team to solve problems. Since this role values a proactive approach, emphasising your ability to mentor others and contribute to a learning environment will make you stand out.
We think you need these skills to ace Data Science Manager (Market Research)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with survey data. Emphasise your proficiency in Python or R and any statistical methods you've used, such as clustering or regression.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Data Science Manager role specifically. Discuss your experience leading projects and mentoring others, and how you can translate complex data into actionable insights for clients.
Showcase Your Communication Skills: Since this role involves presenting findings to clients and stakeholders, include examples of how you've effectively communicated complex data in plain English. This could be through presentations, reports, or client interactions.
Highlight Collaborative Experience: Mention any past experiences where you've worked collaboratively across teams or disciplines. This is important for the role, so provide specific examples that demonstrate your proactive approach to problem-solving.
How to prepare for a job interview at ENI - Elizabeth Norman International
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python or R during the interview. Be prepared to discuss specific projects where you've applied statistical and machine learning methods, especially those involving survey data.
✨Communicate Clearly
Since the role involves translating complex data insights into actionable recommendations, practice explaining your past work in simple terms. This will demonstrate your ability to communicate effectively with clients and stakeholders.
✨Demonstrate Leadership Experience
Share examples of how you've led data science projects or mentored junior analysts. This will show that you have the collaborative and proactive approach they are looking for in a Data Science Manager.
✨Prepare for Client-Facing Scenarios
Think about how you would present findings to clients. You might be asked to role-play a scenario where you explain complex results. Practising this can help you feel more confident and showcase your client-facing skills.
