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For Companies At a Glance
- Tasks: Use data science to enhance investment strategies and create impactful dashboards.
- Company: Leading corporate venture capital firm with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Join a dynamic team making a global impact through data-driven decisions.
- Qualifications: MSc or PhD in relevant fields and strong coding skills in Python and SQL.
- Other info: Fast-paced environment with collaboration at its core.
The predicted salary is between 79200 - 110000 £ per year.
Overview
Up to £110,000
London (Hybrid, 4 days onsite per week)
About the role: Join a leading corporate venture capital firm, within the secondaries space who invest and partner with start-ups across multiple industries, helping them scale and achieve global impact.
Responsibilities
- Collaborate with the deal team to pinpoint where data science can add value to the investment process.
- Create data tools and dashboards to support investment decisions and portfolio monitoring.
- Analyse large datasets to derive actionable insights for investment strategies, effectively communicating these to senior stakeholders.
- Work with the VP of Data and the investment team to improve data solutions.
- Proactively investigate new data science methodologies and technologies to benefit team objectives.
What We're Looking For
- MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
- Strong coding skills in Python and SQL.
- Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.
Please note that this role does not offer visa sponsorship.
Data Scientist - Harnham in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Harnham in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Harnham on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data tools and dashboards. When you apply, link to your work so they can see your coding chops in Python and SQL firsthand.
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. Practice explaining complex data insights in simple terms, as you'll need to impress those senior stakeholders!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Data Scientist - Harnham in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your relevant experience, especially in data analysis and coding skills in Python and SQL. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can add value to our investment process. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from your studies, we want to see your skills in action. Include links if possible – we love to explore your work!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Jobster
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in Python and SQL. Be ready to discuss your previous projects and how you've used these skills to derive insights from large datasets.
✨Showcase Your Communication Skills
Since you'll be working with senior stakeholders, practice explaining complex data concepts in simple terms. Think of examples where you've successfully communicated your findings to non-technical audiences.
✨Understand the Company’s Investment Process
Do your homework on the firm’s investment strategies and how data science plays a role in that. Being able to connect your skills to their specific needs will show that you're genuinely interested in the position.
✨Be Ready for Problem-Solving Questions
Prepare for technical questions or case studies that test your analytical thinking. Practice solving problems on the spot, as this will demonstrate your ability to think critically under pressure.
