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- Tasks: Join a dynamic team as a Junior Data Scientist, tackling diverse analytical challenges.
- Company: Be part of a fast-evolving boutique analytics consultancy with a friendly culture.
- Benefits: Enjoy flexible hybrid working, monthly socials, and a supportive team environment.
- Why this job: Work on exciting projects that impact major brands while developing your data science skills.
- Qualifications: Ideal for graduates or those with up to 2 years' experience in research or analytics.
- Other info: Receive hands-on mentoring and exposure to advanced analytical methods and tools.
The predicted salary is between 24000 - 36000 £ per year.
We’re partnering with a well-established yet fast-evolving boutique analytics consultancy that specialises in providing quantitative research and data science solutions to both research agencies and end clients. This agency has recently become part of a growing insights group, giving them access to exciting new projects, strong infrastructure, and an innovative environment – while still retaining a friendly, close-knit culture.
This is a rare opportunity to join a tight and highly capable data science team, working at the cutting edge of research analytics. Whether it's helping a major brand uncover customer segments, building conjoint simulations, or solving ad hoc analytical challenges, the work is varied and intellectually rewarding.
The Role
We’re looking for a Junior Data Scientist (graduate to 2 years' experience) with a strong quantitative background and a desire to grow within a collaborative team. You’ll work on full-service analytics projects, supporting everything from questionnaire design and fieldwork to deep data analysis and reporting. Expect exposure to:
- MaxDiff, segmentation, conjoint, and other advanced analytical methods
- Key driver analysis, simulators, and ad hoc statistical problem solving
- Designing and executing the quant elements of research studies
- Working in Displayr (training provided), Excel, and other analytics tools
- Creating dashboards, insights reports, and internal tools to support clients
You’ll be supported by a small, smart team of Data Scientists and Directors who love what they do, and you’ll receive hands-on mentoring to quickly build up your capability.
What We’re Looking For
You might be a graduate with an internship, someone with up to 2 years’ experience in research or analytics, or a postgrad looking for your first commercial role.
Must-haves:
- Comfortable with numbers and data; strong analytical mindset
- Confident in Excel and able to pick up new software tools quickly
- A problem-solver – curious, methodical, and eager to learn
- Degree in a relevant subject (not limited to maths/stats – psychology, economics, neuroscience, etc. welcome)
- Excellent communication skills and a team-focused approach
Bonus (not essential):
- Internship or experience in market research/analytics
- Knowledge of techniques like regression, segmentation, significance testing
- Exposure to SPSS, R, Q, Sawtooth, Displayr, or similar platforms
Why Join?
- Vibrant team with great culture – monthly socials, poker nights, London drinks
- Flexible hybrid working – minimum 1 day/week in office
- High retention – people stay because they enjoy the work and the team
- You won’t be siloed – work with multiple clients across many sectors
- A chance to build a genuine career in data science within market research
Junior Data Scientist – Quantitative Market Research (Agency Side) employer: Echo Talent
Contact Detail:
Echo Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist – Quantitative Market Research (Agency Side)
✨Tip Number 1
Familiarise yourself with the key analytical methods mentioned in the job description, such as MaxDiff and conjoint analysis. Having a solid understanding of these techniques will not only boost your confidence but also demonstrate your genuine interest in the role during any discussions.
✨Tip Number 2
Engage with the data science community online, particularly on platforms like LinkedIn or relevant forums. Sharing insights or asking questions about quantitative research can help you build connections and may even lead to referrals for the position.
✨Tip Number 3
Brush up on your Excel skills, as it's a must-have for this role. Consider taking an online course or working on personal projects that require data manipulation and analysis to showcase your proficiency.
✨Tip Number 4
Prepare to discuss your problem-solving approach in interviews. Think of specific examples where you've tackled analytical challenges, as this will highlight your curiosity and methodical mindset, which are essential traits for a Junior Data Scientist.
We think you need these skills to ace Junior Data Scientist – Quantitative Market Research (Agency Side)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Junior Data Scientist role. Emphasise your analytical mindset, proficiency in Excel, and any experience with data analysis tools or techniques mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and market research. Mention specific projects or experiences that demonstrate your problem-solving abilities and teamwork skills. Make it personal and show why you want to work with this particular agency.
Highlight Relevant Coursework or Projects: If you're a recent graduate or have completed relevant coursework, include details about specific projects or assignments that relate to quantitative research or data analysis. This can help demonstrate your practical knowledge and readiness for the role.
Show Enthusiasm for Learning: In your application, express your eagerness to learn and grow within the team. Mention any self-initiated learning, such as online courses or workshops related to data science or analytics tools, to show your commitment to professional development.
How to prepare for a job interview at Echo Talent
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis and quantitative methods. Highlight any relevant projects or coursework that demonstrate your analytical mindset, especially if you've used tools like Excel or statistical software.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Prepare examples of how you've approached complex problems in the past, particularly in a team setting, and be ready to explain your thought process.
✨Familiarise Yourself with Key Techniques
Brush up on techniques mentioned in the job description, such as MaxDiff, segmentation, and conjoint analysis. Being able to discuss these concepts confidently will show your enthusiasm and readiness for the role.
✨Communicate Effectively
Since excellent communication skills are a must-have, practice articulating your thoughts clearly and concisely. Be prepared to explain technical concepts in a way that is understandable to non-experts, showcasing your ability to work collaboratively.