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For Companies At a Glance
- Tasks: Lead a dynamic Data Science team, tackling client-facing projects and innovative insights.
- Company: Join a top global insights consultancy with over 30 years of industry expertise.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a collaborative culture that values your skills and fosters innovation.
- Qualifications: Experience in data science, market research, and proficiency in Python and R required.
- Other info: Relocation and sponsorship are not available at this time.
The predicted salary is between 52000 - 78000 £ per year.
Job Description
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
Showcase your client-facing skills by preparing examples of how you've successfully communicated complex data insights to non-technical stakeholders. This will highlight your ability to bridge the gap between data science and business needs.
✨Tip Number 3
Brush up on your technical skills, especially in Python and R. Consider working on a small project or contributing to open-source initiatives that involve machine learning or text analytics to demonstrate your coding prowess.
✨Tip Number 4
Network with professionals in the insights consultancy space. Attend industry events or webinars where you can meet potential colleagues or clients, as personal connections can often lead to job opportunities.
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 needs. Mention how your background aligns with their focus on segmentation and conjoint led insights projects.
Showcase Relevant Projects: Include specific examples of past projects where you applied data science techniques to solve real-world problems. Highlight your role in these projects and the impact they had on clients or stakeholders.
Highlight Soft Skills: Since this role involves client interaction, emphasise 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 traditional approaches will impress the interviewers and demonstrate your industry knowledge.
✨Prepare Questions for the Interviewers
Have thoughtful questions ready about the company's approach to data science and their client projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
