Data Scientist - Business Analytics
London
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Permanent — employment source
Employment type Permanent
Employment type in the employer’s posting: Permanent
From the employer’s posting
What you’ll work on
Full postingDevelop data-driven strategies to grow active users and subscribers
Analyze A/B tests and quasi-experiments to measure feature and go-to-market impact
Model and forecast the impact of new business initiatives
Present findings and recommendations to senior leaders
Work with business partners to find growth opportunities
From the employer’s posting
Develop data-driven strategies to support the growth of Spotify’s active users and subscribers
Analyze experiments (A/B tests; quasi-experiments) to measure the impact of new features and go-to-market initiatives
Model and forecast the impact of new business initiatives
Present your findings to senior leaders, influencing the course of our business
Work closely with business partners to understand the changes they are driving and help them discover new opportunities for growth
What you’ll bring
All qualificationsCore experience
- You have 5+ years of professional experience in data science or analytics, ideally at a consumer tech company or top-tier consulting firm.
Qualification wording
You have 5+ years of professional experience in data science or analytics, ideally at a consumer tech company or top-tier consulting firm.
Education & alternatives
- You are comfortable working through ambiguous, complex problems and don’t get discouraged when the path forward isn’t immediately clear. - You hold at least a Bachelor’s degree in Economics, Mathematics, Statistics, Computer Science, or a related quantitative field. Where You'll Be
Tools in this posting
- Python
- R
- SQL
Source — Tool mentions in context
- You have 5+ years of professional experience in data science or analytics, ideally at a consumer tech company or top-tier consulting firm. - You are fluent in SQL and Python or R, and have a strong grasp of statistical methods and causal inference. Direct experience with product analytics or experimentation is a plus. - You enjoy partnering with a range of cross-functional stakeholders and working on varied projects involving different products and problem spaces.
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 23, 2026 · 6 days ago
- Recorded sightings
- 12
- Last seen by us
- Oct 29, 2026
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.
- Ask the employer about the pay range before committing time to the process.
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Job description
What You'll Do
- Develop data-driven strategies to support the growth of Spotify’s active users and subscribers
- Create and communicate impactful findings and recommendations that improve the Premium product
- Model and forecast the impact of new business initiatives
- Work closely with business partners to understand the changes they are driving and help them discover new opportunities for growth
- Analyze experiments (A/B tests; quasi-experiments) to measure the impact of new features and go-to-market initiatives
- Present your findings to senior leaders, influencing the course of our business
Who You Are
- You have 5+ years of professional experience in data science or analytics, ideally at a consumer tech company or top-tier consulting firm.
- You are fluent in SQL and Python or R, and have a strong grasp of statistical methods and causal inference. Direct experience with product analytics or experimentation is a plus.
- You enjoy partnering with a range of cross-functional stakeholders and working on varied projects involving different products and problem spaces.
- You have a strategic mindset and an eye for cleanly extracting the “so what” from complex, technical analyses.
- You are an excellent communicator adept at presenting to senior leadership and audiences of varying levels of technical knowledge.
- You are comfortable working through ambiguous, complex problems and don’t get discouraged when the path forward isn’t immediately clear.
- You hold at least a Bachelor’s degree in Economics, Mathematics, Statistics, Computer Science, or a related quantitative field.
Where You'll Be
- This role is based in London
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
Employment type
Permanent
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
London
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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