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- Tasks: Join us as an Econometrician/Data Scientist, leading data modelling and presenting insights.
- Company: Be part of a fast-growing marketing effectiveness agency that prioritises its people.
- Benefits: Enjoy hybrid working, gym membership, pension, and yearly bonuses.
- Why this job: Make a real impact in a supportive culture where your ideas matter.
- Qualifications: 2-3 years in Marketing Mix Modelling; strong skills in R or Python required.
- Other info: Refer a friend for rewards and be part of our vibrant team!
The predicted salary is between 36000 - 60000 £ per year.
This range is provided by Datatech Analytics. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range London (Hybrid working 3 office days per week). Additional Benefits: Gym Membership, Pension and yearly bonus.
We’re excited to be hiring for a unique opportunity to join a fast-growing, independent marketing effectiveness agency that genuinely puts its people first. This is a chance for someone who wants to be a bigger fish in a smaller sea to step into a role where you can truly make your mark, have real influence, and accelerate your career growth as we continue to scale. With a loyal and diverse client base, and a culture built on support and empowerment, you’ll be part of a team where your ideas are heard and your impact is recognised.
We’re looking for a motivated and capable Econometrician / Data Scientist with 2–3 years of hands-on experience in Marketing Mix Modelling (MMM). Experience within the FMCG sector would be a bonus, but it’s not essential.
Roles and Responsibilities:- This role is well-suited for candidates who have a strong analytical mindset and prefer working behind the scenes with data.
- Leading the modelling process from briefing, data exploration, and variable selection through to model building, interpretation, and being involved in the presentation of results (interim and final debriefs will be presented by the Account Director).
- Creating clear and insightful output decks for both internal stakeholders and client presentations.
- Strong econometric modelling skills using tools such as R, Python, or other statistical software packages (e.g., EViews, SAS).
- Experience with model validation, diagnostics, and performance metrics.
- Ability to handle large datasets, clean and transform raw data, and apply advanced statistical techniques such as regression, lag structures, adstock, saturation, and interaction effects.
- The successful candidate will be expected to take full ownership of modelling projects, from raw data ingestion through to final model delivery and client-ready outputs, with minimal supervision.
If this sounds like you then please apply! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Project Management
Industries: Financial Services and Insurance
Econometrician / Data Scientist employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Econometrician / Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in Marketing Mix Modelling (MMM) and be prepared to discuss them during your interview. This shows your passion for the field and your commitment to staying updated, which can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the econometrics and data science fields, especially those who work in marketing effectiveness. Attend relevant meetups or webinars to make connections and gain insights that could be beneficial during your application process.
✨Tip Number 3
Prepare to demonstrate your technical skills in R or Python during the interview. You might be asked to solve a problem on the spot, so practice coding challenges related to econometric modelling to boost your confidence.
✨Tip Number 4
Research the company culture and values of the agency you're applying to. Be ready to articulate how your personal values align with theirs, as cultural fit is often just as important as technical skills in smaller organisations.
We think you need these skills to ace Econometrician / Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in econometric modelling and data science. Focus on relevant skills such as proficiency in R or Python, and any experience with Marketing Mix Modelling (MMM) or the FMCG sector.
Craft a Compelling Cover Letter: Write a cover letter that showcases your analytical mindset and your passion for working with data. Mention specific projects where you've taken ownership of modelling processes and how your contributions made an impact.
Highlight Relevant Experience: In your application, emphasise your hands-on experience with large datasets and advanced statistical techniques. Provide examples of how you've handled data cleaning, transformation, and model validation.
Showcase Your Communication Skills: Since the role involves presenting results to stakeholders, include examples of how you've effectively communicated complex data insights in previous roles. This could be through presentations or written reports.
How to prepare for a job interview at Datatech Analytics
✨Showcase Your Technical Skills
Make sure to highlight your experience with econometric modelling tools like R or Python. Be prepared to discuss specific projects where you applied these skills, focusing on the techniques you used and the outcomes achieved.
✨Demonstrate Your Analytical Mindset
Since this role requires a strong analytical mindset, be ready to explain your approach to data exploration and variable selection. Use examples from your past work to illustrate how you tackle complex data challenges.
✨Prepare for Model Presentation
As you'll be involved in presenting results, practice explaining your findings clearly and concisely. Think about how you can create engaging output decks that communicate insights effectively to both internal stakeholders and clients.
✨Understand the Company Culture
Research the agency's culture of support and empowerment. Be ready to discuss how you can contribute to this environment and why you value being part of a team where ideas are heard and recognised.
