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- Tasks: Dive into data to uncover insights that drive multi-million-pound investment decisions.
- Company: Join a top private equity firm known for its collaborative and impactful approach.
- Benefits: Enjoy a hybrid work model with four days onsite and competitive salary up to £120,000.
- Why this job: Make a real impact in a dynamic environment while working on high-stakes deals.
- Qualifications: MSc or PhD in relevant fields; strong Python and SQL skills required.
- Other info: Ideal for ambitious professionals eager to shape the future of private equity.
The predicted salary is between 72000 - 168000 £ per year.
Up to £120,000 London (Hybrid, 4 days onsite per week)
Company: Join one of the world’s leading private equity firms, with a strong global presence and have partnered with hundreds of businesses across a wide range of sectors to support long-term growth and transformation. They combine deep industry expertise with a hands-on, collaborative approach - making it a dynamic environment for ambitious professionals looking to make a real impact.
Responsibilities:
- Support the investment and deal teams by delivering deep, data-driven insights into potential acquisition targets.
- Responsible for evaluating market dynamics, identifying growth opportunities, and building predictive models to assess financial and operational performance.
- Your analysis will play a critical role in shaping investment theses and informing high-stakes decisions on multi-million (and often billion)-pound deals.
- Collaborate with internal teams to deliver commercial and operational due diligence.
- Be at the forefront of identifying data-led value creation strategies across the private equity lifecycle.
Requirements:
- MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
- Strong coding skills in Python and SQL.
- Experience with Private Equity or Strategy Consultancy.
- Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.
How to Apply:
Please register your interest by sending your CV to Emily Burgess via the Apply link on this page.
Associate Data Scientist employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Data Scientist
✨Tip Number 1
Familiarise yourself with the private equity landscape. Understanding the key players, recent trends, and major deals can give you an edge in interviews, showing your genuine interest in the industry.
✨Tip Number 2
Brush up on your Python and SQL skills. Consider working on personal projects or contributing to open-source initiatives that showcase your coding abilities, as practical experience can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the private equity sector. Attend industry events or join relevant online forums to connect with insiders who can provide insights and potentially refer you to opportunities at our company.
✨Tip Number 4
Prepare for case studies and technical assessments. Practising how to analyse data and present your findings clearly will help you demonstrate your analytical skills effectively during the interview process.
We think you need these skills to ace Associate Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Associate Data Scientist role. Emphasise your coding skills in Python and SQL, as well as any experience in Private Equity or Strategy Consultancy.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how your background fits the company's needs. Mention specific projects or experiences that demonstrate your ability to deliver data-driven insights and collaborate effectively.
Highlight Your Educational Background: Clearly state your MSc or PhD degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, or related fields. This is crucial as it meets one of the key requirements for the position.
Showcase Communication Skills: In your application, provide examples of how you've successfully communicated complex data insights to non-technical stakeholders. This will demonstrate your strong communication skills, which are essential for the role.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Be prepared to discuss your coding skills in Python and SQL. You might be asked to solve a problem or explain your thought process, so brush up on relevant algorithms and data structures.
✨Understand the Private Equity Landscape
Familiarise yourself with the private equity sector and recent trends. Being able to discuss how data-driven insights can impact investment decisions will demonstrate your industry knowledge and enthusiasm.
✨Prepare for Scenario-Based Questions
Expect questions that assess your analytical thinking and problem-solving abilities. Think of examples from your past experiences where you successfully identified growth opportunities or built predictive models.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this role. Practice articulating your thoughts clearly, especially when discussing complex data insights, to ensure you can convey your ideas effectively in a collaborative environment.
