Senior Data Scientist and Marketing Effectiveness (MMM)
London
- Pay
£60,000–75,000/yearAnnual period assumed — pay source
You will have access to : · Salary £60,000-£75,000 + Bonus 10% + Corporate bonus · Regular events and seminars to connect with colleagues
Read the full posting- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
Permanent — employment source
Employment type Permanent position
Employment type in the employer’s posting: Permanent position
From the employer’s posting
What you’ll work on
Full postingLead end-to-end MMM and marketing effectiveness programmes for international clients
Apply econometrics, regression, Bayesian and machine learning methods to marketing data
Lead teams of 3–10 colleagues across multiple projects
Present insights and recommendations to senior stakeholders and C-suite clients
Mentor and develop junior team members
From the employer’s posting
Lead end-to-end MMM and marketing effectiveness programs for international clients
Apply econometrics, regression, Bayesian statistics, and machine learning methods to analyse marketing and customer data
Lead teams of 3–10 colleagues across multiple projects
Translate complex analytics into clear, business-oriented recommendations for senior stakeholders and C-suite clients.
Mentor and develop junior team members, strengthening technical, analytical, and client-facing competencies.
Education & alternatives
· Strong 3–4 years’ experience in marketing effectiveness/MMM and analytics/data science · Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. · Strong proficiency in Python, R, SQL, or similar tools.
Tools in this posting
- Python
- R
- SQL
- Azure
- Databricks
Source — Tool mentions in context
· Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. · Strong proficiency in Python, R, SQL, or similar tools. · Experience with Databricks, Azure, or other cloud/data platforms is a plus.
· Strong proficiency in Python, R, SQL, or similar tools. · Experience with Databricks, Azure, or other cloud/data platforms is a plus. · Solid understanding of econometrics, regression analysis, Bayesian statistics, or other advanced modelling techniques.
Posting record
Report an errorOpen 3 monthsWe first saw this posting 104 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 18, 2026 · 104 days ago
- Recorded sightings
- 44
- Last seen by us
- Oct 30, 2026
- Employer says posted
- Oct 31, 2025
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Job description
Employment type
Permanent position
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
You will have access to : · Salary £60,000-£75,000 + Bonus 10% + Corporate bonus · Regular events and seminars to connect with colleagues
- Location & working pattern
London
· Modern office space in a central London location · Flexible hybrid working policy (2 days a week in office + 20 days’ work from anywhere, remotely) · 25 days annual leave + bank holidays, plus an additional 3 days for tenure
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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