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- Tasks: Lead data projects in Private Equity, focusing on due diligence and predictive modeling.
- Company: Join a dynamic team at the forefront of investment data analysis.
- Benefits: Enjoy a competitive salary, bonuses, and flexible hybrid work options.
- Why this job: Make an impact in investment decisions while collaborating with senior stakeholders.
- Qualifications: Must have 3-4+ years in data roles, preferably in Private Equity or strategy consultancy.
- Other info: This role does not offer sponsorship; apply if you meet the criteria!
The predicted salary is between 90000 - 210000 £ per year.
Senior Data Scientist – Early stage AI driven start-up
Location : Remote first (ability to travel to London on occasion)
Type : Permanent
Are you ready to take on a pivotal role in building a cutting-edge AI-driven platform? I’m partnered with an ambitious new venture revolutionising how businesses leverage data and video technologies, and they are looking for an experienced Senior Data Scientist to join them at a critical stage of growth.
You’ll work alongside a talented and dedicated leadership team to create a next-generation data and video platform, integrating AI and machine learning at its core.
With no legacy technology to hold them back, they are focused on innovation – leveraging tools like computer vision and LLM’s to solve complex challenges and redefine how businesses manage and measure data performance. You’ll be instrumental in shaping the MVP into a scalable product while contributing to the long-term strategy of an industry-disrupting company.
Has 3-5 years of hands-on experience in data science, machine learning, or AI.
Possesses a strong academic background, especially in mathematics or related fields.
Brings expertise in machine learning and AI, with experience in fintech or adjacent sectors considered a plus.
Develop data-driven solutions to address business challenges, using tools like computer vision to provide actionable insights.
Lead the thinking on how AI can shape and expand the platform’s capabilities.
Work closely with global development teams to deliver a product with long-term growth potential.
A competitive salary of £100,000 with future equity opportunities.
Fully remote work (for now), with occasional travel to London planned for the future.
The chance to contribute to an AI-first platform with significant growth potential.
If you’re ready to take the next step in your career and help build something extraordinary, apply now and join us on this exciting journey.
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Data Science Manager (Remote) employer: Formula Recruitment
Contact Detail:
Formula Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager (Remote)
✨Tip Number 1
Make sure to highlight your experience in Private Equity or strategy consultancy during your conversations. This is crucial as it directly aligns with the role's requirements and will help you stand out.
✨Tip Number 2
Familiarize yourself with the latest trends in Machine Learning and Data Visualization 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 projects. Concrete examples will demonstrate your technical skills and show that you're ready to contribute from day one.
✨Tip Number 4
Engage with the investment community on platforms like LinkedIn. Networking with professionals in Private Equity can provide insights and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Data Science Manager (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Private Equity and any relevant data science 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 passionate about working in the Private Equity space. Mention specific projects or experiences that demonstrate your ability to drive data-driven investment decisions.
Showcase Relevant Experience: When detailing your work history, focus on roles where you utilized machine learning, predictive modeling, and data analysis. Use metrics to quantify your impact in previous positions.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in data science roles.
How to prepare for a job interview at Formula Recruitment
✨Showcase Your Private Equity Experience
Make sure to highlight your experience in the Private Equity space during the interview. Discuss specific projects you've worked on, especially those involving data analysis and decision-making processes.
✨Demonstrate Technical Proficiency
Be prepared to discuss your skills in Python and SQL in detail. You might be asked to solve a technical problem or explain how you've used these tools in past projects, so brush up on relevant examples.
✨Prepare for Stakeholder Interaction
Since this role involves working closely with senior stakeholders, think of examples where you've successfully communicated complex data insights to non-technical audiences. This will show your ability to bridge the gap between data and business.
✨Familiarize Yourself with Data Visualization Tools
As the role requires driving data visualization with Tableau or Power BI, be ready to discuss your experience with these tools. Consider preparing a portfolio of visualizations you've created to demonstrate your capabilities.
