Data Science Manager (Market Research)

Data Science Manager (Market Research)

City of London Full-Time 43200 - 78000 £ / year (est.) No home office possible
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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

Join a dynamic and innovative analytics team in London as a Data Science Manager, where your expertise will directly influence public policy and consumer behaviour. With a strong emphasis on collaboration, continuous learning, and personal development, you'll thrive in a hybrid work environment that values curiosity and creativity. Enjoy competitive salary packages, mentorship opportunities, and the chance to lead impactful projects while working alongside a diverse group of professionals.
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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)

Data Science Expertise
Survey Data Analysis
Python or R Proficiency
Statistical Methods
Machine Learning Techniques
Segmentation Analysis
Conjoint Analysis
Project Leadership
Client Communication
Problem-Solving Skills
Collaboration Skills
Mentoring and Coaching
Analytical Thinking
Presentation Skills
Curiosity and Innovation

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 the role involves presenting findings to clients, include examples of how you've effectively communicated complex data insights in previous roles. This could be through presentations, reports, or client meetings.

Highlight Collaborative Experience: Mention any experience you have working in collaborative environments. The job description emphasises teamwork, so provide examples of how you've successfully worked with cross-functional teams to solve problems.

How to prepare for a job interview at ENI - Elizabeth Norman International

✨Showcase Your Technical Skills

Be prepared to discuss your experience with Python or R in detail. Highlight specific projects where you've applied statistical and machine learning methods, especially those related to survey data.

✨Communicate Clearly

Since the role involves translating complex data into actionable insights, practice explaining your past projects 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.

✨Prepare for Case Studies

Expect to tackle case studies or hypothetical scenarios during the interview. Brush up on market research techniques and be ready to discuss how you would approach solving a complex problem using data.

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