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For Companies At a Glance
- Tasks: Lead diverse analytics projects and guide clients with smart insights.
- Company: Join a dynamic consultancy with over 25 years of expertise in market research.
- Benefits: Enjoy a hybrid work environment and excellent benefits, fostering entrepreneurial thinking.
- Why this job: Make an impact in various sectors while advancing your Data Science career.
- Qualifications: Expertise in R/Python and experience in survey data analysis is essential.
- Other info: Opportunities for coaching and training within a supportive team.
The predicted salary is between 47000 - 65000 £ per year.
Job Description
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 applytodeborah@resourcesgroup.com 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 trends in data science, particularly in survey analytics. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the data science community, especially those who work in market research or consultancy. Attend relevant meetups or webinars to make connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Prepare to showcase your technical skills in R and Python through practical examples. Be ready to discuss specific projects where you've applied machine learning techniques or statistical modelling, as this will highlight your hands-on experience.
✨Tip Number 4
Brush up on your communication skills, as you'll need to explain complex data insights to clients and team members. Practising how to present your findings clearly and concisely can set you apart from other candidates.
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 to align with the job requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your ability to turn data into insights. Mention specific projects or experiences that demonstrate your expertise in market research and analytics.
Highlight Relevant Skills: In your application, clearly outline your proficiency in techniques such as segmentation, conjoint analysis, and any experience with survey analytics like MaxDiff or TURF. This will help you stand out as a strong candidate.
Showcase Communication Skills: Since the role involves coaching and training team members, include examples of how you've effectively communicated complex data insights in previous roles. This will demonstrate your ability to collaborate and lead within a team.
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 segmentation, conjoint analysis, or multivariate statistics, 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. Think about how you would coach a team member on a complex topic, as this will be a key part of your responsibilities.
✨Research the Company and Its Clients
Familiarise yourself with the types of clients the consultancy works with and the sectors they operate in. This knowledge will help you tailor your responses and demonstrate your interest in contributing to their diverse analytics projects.
