Data Scientist - Private Equity Apply now
Data Scientist - Private Equity

Data Scientist - Private Equity

London Full-Time 80000 - 90000 £ / year (est.)
Apply now
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At a Glance

  • Tasks: Join a dynamic team to analyze unstructured data using advanced NLP models.
  • Company: Work with a global private equity firm supporting ambitious entrepreneurs and high-growth companies.
  • Benefits: Enjoy a competitive salary, bonus, and hybrid work in Central London.
  • Why this job: Combine cutting-edge AI with impactful financial applications in a fast-paced environment.
  • Qualifications: Must have extensive experience in NLP, Python, SQL, and cloud computing.
  • Other info: This role is crucial for driving insights that shape strategic investment decisions.

The predicted salary is between 80000 - 90000 £ per year.

Job Description Data Scientist – Private Equity Paying between £80,000-£90,000 + 12-15% bonus (written in contract) Hybrid in Central London Well Known PE-firm Python/NLP I am currently working with a Global Private-equity firm, who are looking for a talented mid/snr Data Scientist to join their team to focus on due-diligence and deals. 🔥 This company is an international investment firm that supports the most ambitious and talented entrepreneurs and high growth companies to achieve their goals. They invest in high growth, dynamic situation buyouts and growth capital investments. 💻 This role focuses on applying advanced NLP models to analyse unstructured data from diverse sources, driving actionable insights into market opportunities and company performance. These insights will play a critical role in deal sourcing, due diligence, and portfolio management, shaping the fund’s strategic decisions. If you’re passionate about combining cutting-edge AI with high-impact financial applications, then this will be a great opportunity for you – here are the requirements: Extensive NLP & Python experience Experience with SQL and cloud computing – GCP preferred but Azure…

Data Scientist - Private Equity employer: La Fosse

This global private equity firm is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Central London. With competitive compensation packages, including a substantial bonus structure, and a strong emphasis on employee growth through cutting-edge projects in NLP and data analysis, you will have the opportunity to make a significant impact while advancing your career in a supportive environment.
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Contact Detail:

La Fosse Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist - Private Equity

✨Tip Number 1

Make sure to showcase your experience with NLP and Python in your conversations. Be ready to discuss specific projects where you've applied these skills, especially in a financial context.

✨Tip Number 2

Familiarize yourself with the private equity landscape. Understanding how data science can influence deal sourcing and due diligence will help you stand out during discussions.

✨Tip Number 3

Network with professionals in the private equity sector. Attend relevant meetups or webinars to gain insights and make connections that could lead to referrals.

✨Tip Number 4

Prepare to discuss your experience with SQL and cloud computing, particularly GCP. Highlight any projects where you've utilized these technologies to drive business outcomes.

We think you need these skills to ace Data Scientist - Private Equity

Natural Language Processing (NLP)
Python Programming
SQL Proficiency
Cloud Computing (GCP preferred, Azure acceptable)
Data Analysis
Machine Learning
Statistical Analysis
Data Visualization
Problem-Solving Skills
Attention to Detail
Communication Skills
Team Collaboration
Adaptability
Financial Acumen

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Python, NLP, and SQL. Include specific projects or roles where you applied these skills, especially in a financial context.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and its application in private equity. Mention how your skills can contribute to the firm's goals and provide examples of past successes.

Showcase Relevant Projects: If you have worked on any relevant projects involving unstructured data analysis or advanced NLP models, be sure to include them in your application. This will demonstrate your practical experience and problem-solving abilities.

Highlight Soft Skills: In addition to technical skills, emphasize your ability to work in a team and communicate complex data insights effectively. These soft skills are crucial in a collaborative environment like private equity.

How to prepare for a job interview at La Fosse

✨Showcase Your NLP Expertise

Be prepared to discuss your experience with Natural Language Processing in detail. Highlight specific projects where you've applied advanced NLP models, and be ready to explain the methodologies you used and the outcomes achieved.

✨Demonstrate Your Python Skills

Since Python is a key requirement for this role, make sure to showcase your proficiency. You might be asked to solve coding problems or discuss libraries you've used, so brush up on your Python knowledge and be ready to demonstrate it.

✨Understand the Private Equity Landscape

Familiarize yourself with the private equity industry, especially how data science plays a role in deal sourcing and due diligence. Being able to discuss market trends and how data insights can influence investment decisions will set you apart.

✨Prepare Questions About the Role

Interviews are a two-way street. Prepare insightful questions about the team, the projects you'll be working on, and how success is measured in this role. This shows your genuine interest and helps you assess if the company is the right fit for you.

Data Scientist - Private Equity
La Fosse Apply now
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  • Data Scientist - Private Equity

    London
    Full-Time
    80000 - 90000 £ / year (est.)
    Apply now

    Application deadline: 2027-01-08

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    La Fosse

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