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For Companies At a Glance
- Tasks: Analyze data for investment teams and build predictive models using Python and SQL.
- Company: Join a leading firm in Private Equity, known for its innovative approach to investments.
- Benefits: Enjoy a hybrid work model, competitive salary, strong bonuses, and comprehensive benefits.
- Why this job: Be part of a dynamic team, influence investment decisions, and enhance your data science skills.
- Qualifications: 2+ years in Private Equity or strategy consultancy; MSc/BSc in a numerical field preferred.
- Other info: Work closely with senior stakeholders in a collaborative front office environment.
The predicted salary is between 54000 - 126000 £ per year.
Senior Data Science Analyst
London – Hybrid (4 days a week)
Up to £90,000 + strong bonus and benefits
This is a great opportunity for a Data Science Analyst to work in the Private Equity space, reporting directly into a Head of Data.
THE ROLE
In this role you will:
- Work on due diligence and portfolio analytics for investment teams in a data environment
- Build out and scale Machine Learning with Python and SQL
- Drive Data Visualisation with Tableau/Power BI
- Work on Cashflow predictive models to optimise investment decisions
- Be part of the front office investment team, working closely with senior stakeholders
Skills And Experience
- Candidates must have experience in Private Equity firm OR strategy consultancy experience
- MSc or BSc in a numerical or relevant field is preferred with 2+ years of experience
- Python and SQL experience is required
- An excellent understanding of Data Visualisation techniques is beneficial
How To Apply
Please register your interest for this role by sending your CV to Kiran Ramasamy via the apply link on this page
Senior Data Science Analyst - Private Equity employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Science Analyst - Private Equity
✨Tip Number 1
Make sure to highlight your experience in Private Equity or strategy consultancy during the interview. Be prepared to discuss specific projects where you utilized data analytics to drive investment decisions.
✨Tip Number 2
Familiarize yourself with the latest trends in Machine Learning and Data Visualisation tools like Tableau and Power BI. Being able to discuss recent advancements or case studies can set you apart from other candidates.
✨Tip Number 3
Prepare to demonstrate your technical skills in Python and SQL during the interview. You might be asked to solve a problem or analyze a dataset on the spot, so practice coding challenges beforehand.
✨Tip Number 4
Network with professionals in the Private Equity space. Attend industry events or webinars to connect with potential colleagues and learn more about the role, which can give you valuable insights for your interview.
We think you need these skills to ace Senior Data Science Analyst - Private Equity
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Private Equity or strategy consultancy. Emphasize your skills in Python, SQL, and Data Visualisation techniques to align with the job requirements.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of the Private Equity space. Mention specific projects or experiences that demonstrate your analytical skills and ability to work with senior stakeholders.
Highlight Technical Skills: Clearly outline your proficiency in Python, SQL, and any Data Visualisation tools like Tableau or Power BI. Provide examples of how you've used these skills in previous roles to drive results.
Follow Application Instructions: Ensure you send your application via the specified apply link and address it to Kiran Ramasamy. Double-check that your documents are formatted correctly and free of errors before submission.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and SQL in detail. Highlight specific projects where you've successfully implemented machine learning models or data visualizations, as this will demonstrate your technical proficiency.
✨Understand the Private Equity Landscape
Research the current trends and challenges in the private equity sector. Being able to discuss these topics during your interview will show that you are knowledgeable and genuinely interested in the field.
✨Prepare for Behavioral Questions
Expect questions about how you've worked with senior stakeholders in the past. Prepare examples that showcase your ability to communicate complex data insights effectively and collaborate within a team.
✨Demonstrate Data Visualization Expertise
Since data visualization is a key part of the role, be ready to discuss your experience with tools like Tableau or Power BI. If possible, bring examples of your work to illustrate your skills and thought process.
