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- Tasks: Drive investment decisions with data science and analytics in a dynamic environment.
- Company: Global private markets investment firm focused on innovative data capabilities.
- Benefits: Competitive salary, hybrid working model, and performance bonuses.
- Why this job: Make a real impact on investment strategies while building a data function from scratch.
- Qualifications: Experience in data science, analytics, and strong problem-solving skills.
- Other info: Join a small, driven team with opportunities for career growth.
The predicted salary is between 85000 - 110000 £ per year.
Do you want to work in a front-office data science role with direct impact on investment decisions? Have you ever owned analytics end-to-end in a low-maturity, high-stakes environment? Are you ready to help build a data function from the ground up inside a private markets firm?
A global private markets investment firm focused on secondary markets is expanding its in-house data capability. The business manages multi-billion-euro funds globally and is investing heavily in analytics to support due diligence, valuation, and portfolio decision-making. This is a high-visibility role within a small, commercially driven team working directly with investors.
This role sits within the investment team and blends applied data science, analytics, and automation. You will help mature data processes, build forecasting models, and deliver insights that directly influence buy, hold, and sell decisions.
Responsibilities:- Build cash-flow forecasting and scenario models for investment analysis
- Support due diligence through analytics, modelling, and automation
- Develop dashboards and reporting used by investment professionals
- Work with messy, low-maturity data and improve underlying processes
- Translate analysis into clear insights for non-technical stakeholders
- Own projects end-to-end in a fast-paced, front-office environment
- Salary: £85k–110k base + discretionary bonus (30–40%)
- Location: London (St James's Square)
- Hybrid working model: Monday WFH, Tuesday–Friday in office
- Stack: Python, SQL, PowerBI/Tableau, Azure exposure helpful
- Visa: This role cannot sponsor
Interested? Please apply below.
Senior Data Scientist - Private Equity - Harnham in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Private Equity - Harnham in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the firm on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your data science skills. Be ready to discuss how you've tackled messy data and built models in the past. Show us you can own projects end-to-end!
✨Tip Number 3
Don’t forget to showcase your soft skills! Being able to translate complex analysis into clear insights for non-technical stakeholders is key. Practice explaining your work in simple terms.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Data Scientist - Private Equity - Harnham in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role. Highlight your experience with data science, analytics, and any relevant projects that showcase your ability to work in a fast-paced environment. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your skills align with our needs. Don’t forget to mention your experience with low-maturity data and how you've owned projects end-to-end.
Showcase Your Technical Skills: Since we’re looking for someone with a strong background in Python, SQL, and data visualisation tools like PowerBI or Tableau, make sure these skills are front and centre in your application. We love seeing practical examples of how you've used these tools!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Jobster
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in Python and SQL. Be ready to discuss your experience with cash-flow forecasting and scenario models, as well as how you've tackled messy data in the past. They’ll want to see that you can handle analytics end-to-end.
✨Showcase Your Impact
Prepare examples of how your work has directly influenced investment decisions or improved processes. Use specific metrics or outcomes to illustrate your contributions. This role is all about making a difference, so highlight your ability to deliver insights that matter.
✨Communicate Clearly
Since you'll be translating complex analysis for non-technical stakeholders, practice explaining your past projects in simple terms. Think about how you can convey technical concepts without jargon, making it easy for anyone to understand your insights.
✨Be Ready for a Fast-Paced Environment
This role is in a high-stakes, fast-paced setting, so be prepared to discuss how you manage multiple projects and deadlines. Share strategies you’ve used to stay organised and efficient, especially when working under pressure or with limited resources.
