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For Companies At a Glance
- Tasks: Lead diverse analytics projects and guide clients with data-driven insights.
- Company: Join a dynamic consultancy with over 25 years of expertise in market research.
- Benefits: Enjoy a hybrid work model, competitive salary, and excellent benefits.
- Why this job: Make an impact with innovative data science techniques in a supportive environment.
- Qualifications: Expertise in R/Python and experience in survey data analysis required.
- Other info: Opportunities for coaching and career progression in a forward-thinking team.
The predicted salary is between 47000 - 78000 £ per year.
Data Scientist – Survey Insights
Strategy & Insight Consultancy
Central London (Hybrid)
£55 – £65,000 + excellent benefits
Innovative and advanced data science techniques help this strategy and insight consultancy’s clients turn data into smart insights. Joining a growing Data Science & Analytics team you will get the chance to work on challenging and diverse analytics projects, collaborating closely with range of clients and stakeholders across the business, advising on best analytical approaches to guide your clients’ decisions.
With strong data analysis, machine learning and statistical modelling expertise you will lead projects across multiple sectors including technology, financial services, public sector, retail, utilities and more. You will be able to showcase your expertise in modelling market research survey data, multivariate statistics, segmentation, conjoint analysis and behavioural analysis.
Utilising your strong communication skills, you will also play a central role in coaching and training other talented team members and lead innovative analytical initiatives.
You will bring experience working in data science/ statistics from a market research or media agency, and be an expert in R and/ or Python . Expertise with analysis of survey data and undertaking segmentation and conjoint analysis expertise is essential. Experience of survey analytics such as MaxDiff, TURF; knowledge of machine learning methods, text analytics or organisational analytics would also be advantageous.
Offering a forward thinking, dynamic work environment that encourages an entrepreneurial thinking, this is a fantastic opportunity to progress your Data Science career in an expanding strategic consultancy where you can contribute your expertise to impactful and exciting studies!
To apply or for further information please contact Deborah Lewis, Senior Partner, Resources Group on or call 0207 242 6321.
Applications will only be considered from those based in the UK with current UK working rights.
About Resources Group
With over twenty five years’ experience helping thousands of Researchers, Insight Specialists 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 Scientist - Survey Insights employer: Resources Group
Contact Detail:
Resources Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Survey Insights
✨Tip Number 1
Familiarise yourself with the latest data science techniques and tools, especially in R and Python. Being able to demonstrate your proficiency in these languages during interviews will set you apart from other candidates.
✨Tip Number 2
Prepare to discuss specific projects where you've applied multivariate statistics or segmentation analysis. Having concrete examples ready will showcase your expertise and problem-solving skills effectively.
✨Tip Number 3
Network with professionals in the data science field, particularly those who work in market research or consultancy. Engaging with industry peers can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Stay updated on trends in survey analytics and machine learning methods. Showing that you're knowledgeable about current advancements will demonstrate your commitment to continuous learning and innovation.
We think you need these skills to ace Data Scientist - Survey Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, particularly with R and Python. Emphasise your skills in statistical modelling, machine learning, and analysis of survey data, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data science and how your background aligns with the consultancy's needs. Mention specific projects or experiences that demonstrate your expertise in market research and analytics.
Showcase Relevant Projects: If you have worked on projects involving segmentation, conjoint analysis, or survey analytics, be sure to include these in your application. Provide brief descriptions of your role and the impact of your work.
Highlight Communication Skills: Since the role involves coaching and training team members, emphasise your communication skills in both your CV and cover letter. Provide examples of how you've successfully collaborated with clients or led initiatives in previous roles.
How to prepare for a job interview at Resources Group
✨Showcase Your Technical Skills
Make sure to highlight your expertise in R and Python during the interview. Be prepared to discuss specific projects where you've applied machine learning techniques or statistical modelling, especially in relation to survey data analysis.
✨Demonstrate Your Analytical Thinking
Prepare to explain your approach to solving complex analytical problems. Use examples from your past experience, particularly those involving multivariate statistics, segmentation, or conjoint analysis, to illustrate your thought process.
✨Communicate Effectively
Since strong communication skills are essential for this role, practice explaining technical concepts in a clear and concise manner. Be ready to discuss how you would coach and train team members, showcasing your ability to convey insights effectively.
✨Research the Company and Its Clients
Familiarise yourself with the sectors the consultancy operates in, such as technology and financial services. Understanding their client base will help you tailor your responses and demonstrate your interest in contributing to their diverse analytics projects.
