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- Tasks: Join a dynamic team to build and scale Machine Learning models and drive data visualization.
- Company: Work in the exciting Private Equity space with a focus on impactful investment decisions.
- Benefits: Enjoy a competitive salary, bonuses, and the flexibility of a hybrid work environment.
- Why this job: Be part of a front office investment team and collaborate with senior stakeholders for real impact.
- Qualifications: Must have 3-4+ years in Data Science, experience in Private Equity, and skills in Python and SQL.
- Other info: This role does not offer sponsorship, so candidates must have the right to work in the UK.
The predicted salary is between 90000 - 210000 £ per year.
Senior Data Scientist Up to £150,000 + bonus and benefits London – Hybrid (4 days a week) This is a great opportunity for a Data Scientist to work in the Private Equity space, reporting directly into a Head of Data. ROLE AND RESPONSIBILITIES Work on due diligence, reporting 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 REQUIREMENTS Candidates must have experience in Private Equity – preferably in a Data team Or experience in a strategy consultancy, ideally with a focus on PE projects MSc or BSc in a numerical or relevant field is preferred with 3-4+ years of experience Python and SQL experience is required This role cannot offer sponsorship. Apply below!
Data Science Data Science Data Modeler (Remote) employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Data Science Data Modeler (Remote)
✨Tip Number 1
Make sure to highlight your experience in Private Equity or strategy consultancy during your conversations. This will show that you understand the unique challenges and opportunities in this field.
✨Tip Number 2
Familiarize yourself with the specific tools mentioned in the job description, like Python, SQL, Tableau, and Power BI. Being able to discuss your proficiency with these tools can set you apart from other candidates.
✨Tip Number 3
Prepare examples of past projects where you've built predictive models or worked on data visualizations. Being able to share concrete results will demonstrate your capability and impact.
✨Tip Number 4
Engage with current trends in Private Equity and data science. Showing that you're knowledgeable about the latest developments can impress senior stakeholders during discussions.
We think you need these skills to ace Data Science Data Science Data Modeler (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Private Equity and any relevant data projects. Emphasize your skills in Python, SQL, and data visualization tools like Tableau or Power BI.
Craft a Strong Cover Letter: In your cover letter, explain why you are interested in the role and how your background aligns with the responsibilities listed. Mention specific projects or experiences that demonstrate your expertise in data science within the Private Equity sector.
Showcase Relevant Projects: If you have worked on cashflow predictive models or similar projects, be sure to include these in your application. Provide details about the impact of your work and the technologies used.
Highlight Stakeholder Engagement: Since the role involves working closely with senior stakeholders, mention any experience you have in collaborating with high-level teams. This could include examples of how you communicated complex data insights to non-technical audiences.
How to prepare for a job interview at Harnham
✨Showcase Your Private Equity Experience
Make sure to highlight your experience in the Private Equity sector during the interview. Discuss specific projects you've worked on, especially those involving data analysis or strategy consultancy, as this will demonstrate your relevance to the role.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with Python and SQL in detail. You might be asked to solve a problem or explain how you've used these tools in past projects, so brush up on your technical skills and be ready to provide examples.
✨Prepare for Data Visualization Questions
Since the role involves driving data visualization with tools like Tableau or Power BI, be ready to discuss your experience with these platforms. Bring examples of dashboards or reports you've created and be prepared to explain your design choices.
✨Engage with Senior Stakeholders
As you'll be working closely with senior stakeholders, it's important to demonstrate your communication skills. Prepare to discuss how you've successfully collaborated with senior team members in the past and how you can contribute to the front office investment team.
