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For Companies At a Glance
- Tasks: Dive into data analysis, build machine learning models, and create stunning visualizations.
- Company: Join a dynamic team in the Private Equity sector, shaping investment decisions.
- Benefits: Enjoy a competitive salary, bonuses, and a hybrid work model (4 days a week).
- Why this job: Be part of an innovative environment with direct impact on investment strategies and senior collaboration.
- Qualifications: Must have 2+ years in Private Equity, with Python, SQL, and data visualization skills.
- Other info: This role does not offer sponsorship.
The predicted salary is between 51000 - 119000 £ per year.
This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Harnham
Associate Director – Leading AI, Machine Learning & Engineering at Harnham
Harnham is working exclusively with a prestigious private equity firm in London who are building a data function in London to support the internal deal team with the use of sophisticated data science and analytics.
You will join a small team and help build the foundations for the company’s data initiative for the coming years.
You will be expected to help build the data platform being used by the investment team, as well as work on ad-hoc strategic projects to identify investment opportunities for the business.
The Role – Data Science Analyst
You will be:
- Working alongside the deal team to identify where data science and advanced analytics can have a positive impact on the investment process
- Helping to create internal data tools and products to support data-driven investment decisions
- Carrying out due diligence as part of the investment process
- Exploring how Generative AI techniques can benefit the organisation
Experience – Data Science Analyst
You will have:
- An M.Sc. or Ph.D. in: STEM (e.g. Statistics, Applied Mathematics, Computer Science, Engineering)
- Experience using Python is a must
- Experience of data visualisation tools (e.g. Tableau, Power BI)
- A strong knowledge of statistical/machine learning models applied to real-world problems
- A keen interest in problem-solving and using data, analytics and AI to solve investment problems is important
- A focus on using data science to create value is essential
- A strong interest in working alongside both technical and non-technical people
BENEFITS
Up to £90,000 base salary
Competitive bonus
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page. For further details or to enquire about other roles, please contact Nick Mandella at Harnham.
KEYWORDS
Python, SQL, Tableau, Power BI, AWS, GCP, Azure, Cloud, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance.
Seniority level
Entry level
Employment type
Full-time
Job function
Information Technology
Industries: Venture Capital and Private Equity Principals
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Data Science Analyst employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Analyst
✨Tip Number 1
Make sure to highlight your experience in Private Equity during your conversations. This is a key requirement for the role, and demonstrating your understanding of the industry will set you apart.
✨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 projects or innovations in these areas can impress the hiring team.
✨Tip Number 3
Prepare to discuss specific examples of how you've used Python and SQL in past roles. Concrete examples of your work will demonstrate your technical skills effectively.
✨Tip Number 4
Network with professionals in the Private Equity space. Engaging with industry contacts can provide insights into the company culture and expectations, which can be beneficial during interviews.
We think you need these skills to ace Data Science Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Private Equity and any relevant data roles. Emphasize your skills in Python, SQL, and Data Visualization 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 ability to work in a greenfield data environment.
Highlight Relevant Experience: In your application, focus on your previous roles that involved due diligence, investment reporting, and machine learning. Use quantifiable achievements to illustrate your impact in those positions.
Showcase Technical Skills: Clearly outline your proficiency in Python, SQL, and any data visualization tools like Tableau or Power BI. Providing examples of how you've used these skills in past projects can strengthen your application.
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 utilized these skills, especially in a Private Equity context.
✨Demonstrate Data Visualization Expertise
Since the role emphasizes data visualization, come ready to talk about your experience with tools like Tableau or Power BI. Consider bringing examples of dashboards or reports you've created.
✨Understand the Private Equity Landscape
Research the current trends and challenges in Private Equity. Being able to discuss how data science can impact investment decisions will show your genuine interest and understanding of the field.
✨Prepare for Stakeholder Interaction
As you'll be working closely with senior stakeholders, practice articulating complex data concepts in a way that's easy to understand. This will demonstrate your communication skills and ability to collaborate effectively.
