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- Tasks: Lead client-facing data science projects and collaborate with consulting teams.
- Company: Join a leading global insights consultancy with over 30 years of experience.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional development.
- Why this job: Be part of a dynamic team that values innovation and client exposure in data science.
- Qualifications: Experience in market research, Python, R, machine learning, and analytics is essential.
- Other info: Relocation and sponsorship are not available at this time.
The predicted salary is between 46800 - 78000 £ per year.
CD00649687
Data Science Manager – Insights Consultancy
To £65,000; London (Hybrid working)
Data Science Manager sought by the highly visible Data Science team of this leading global insights consultancy in a key, client facing role.
The Data Science Team here covers numerous segmentation and conjoint led insights projects, grounded in survey data, and working closely with consulting teams and clients in so doing – but they are also involved in wider corporate initiatives where data science input is required too. Clients are typically large consumer brands, public bodies, government and leading not-for-profit organisations.
In joining this hugely successful team you’ll bring client facing skills, technical and coding prowess to compliment a team made up of skilled Data Scientists from market research backgrounds. You’ll therefore be a Data Scientist who alongside knowledge of surveys and segmentation, also has good skills in Python (and R), machine learning, Bayesian methods, text analytics and more. Previous work in market research/insights in a data science/analytics capacity is essential re helping to develop the team’s overall innovative approach to insights led data science approaches.
If you’re keen to be a Data Science Manager in a research agency that will give you client exposure, and value and develop you further (relocation and/or sponsorship (including sponsorship post visa expiry) is not available at this time), contact Carl at Resources Group
About Resources Group:
With over thirty years’ experience helping thousands of Researchers, Insight Specialists, Marketers and Data Analysts in their career moves, no one has better knowledge of the Market Research, Insights and Marketing Strategy job market than Resources Group. Our consultants take the time to understand your career aims and are dedicated to providing impartial advice and finding you the best career move, with access to an unrivalled range of opportunities with top employers in the sector – visit our website for many more options!
Resources Group’s Diversity and Equality Policy determines that we submit applicants to our clients on the basis of merit and ability, regardless of race, colour, age, disability, family responsibilities, gender, marital status, nationality, religious or political views or affiliations, sexual orientation or socio-economic background.
Data Science Manager – Insights Consultancy employer: Resources Group
Contact Detail:
Resources Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager – Insights Consultancy
✨Tip Number 1
Familiarise yourself with the latest trends in data science, particularly in market research and insights. Being able to discuss recent developments or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the industry, especially those who work in insights consultancy. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the company culture at StudySmarter.
✨Tip Number 3
Prepare to showcase your technical skills in Python and R during the interview. Consider working on a small project or case study that highlights your coding abilities and understanding of machine learning techniques relevant to the role.
✨Tip Number 4
Be ready to discuss your experience with client-facing roles. Think of specific examples where you successfully communicated complex data insights to clients, as this will be crucial for the Data Science Manager position.
We think you need these skills to ace Data Science Manager – Insights Consultancy
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in market research and insights. Emphasise your skills in Python, R, machine learning, and any specific projects that showcase your client-facing abilities.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your technical skills but also demonstrates your understanding of the consultancy's work with large consumer brands and public bodies. Show enthusiasm for the role and how you can contribute to their innovative approach.
Highlight Relevant Projects: In your application, include specific examples of past projects where you've used segmentation, conjoint analysis, or text analytics. This will help illustrate your hands-on experience and problem-solving skills in a data science context.
Showcase Soft Skills: Since this role is client-facing, it's important to highlight your communication and interpersonal skills. Provide examples of how you've successfully collaborated with clients or cross-functional teams in previous roles.
How to prepare for a job interview at Resources Group
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and R during the interview. Be prepared to discuss specific projects where you've applied machine learning, Bayesian methods, or text analytics, as these are crucial for the role.
✨Demonstrate Client-Facing Experience
Since this position involves direct interaction with clients, share examples of how you've successfully communicated complex data insights to non-technical stakeholders. This will show your ability to bridge the gap between data science and client needs.
✨Understand the Market Research Landscape
Familiarise yourself with current trends in market research and insights. Being able to discuss how data science can innovate within this space will impress your interviewers and demonstrate your commitment to the field.
✨Prepare Questions for Your Interviewers
Have thoughtful questions ready about the company's approach to data science and their client projects. This not only shows your interest in the role but also helps you assess if the company aligns with your career goals.
