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For Companies At a Glance
- Tasks: Lead a team to build data models and support revenue analysis.
- Company: Join a fast-growing start-up making waves in investment insights.
- Benefits: Enjoy remote work flexibility and a competitive salary of £75k.
- Why this job: Make a real impact in finance while developing your leadership skills.
- Qualifications: Masters in a relevant field and experience in data science required.
- Other info: UK applicants only; no sponsorship available.
The predicted salary is between 45000 - 105000 £ per year.
Remote (UK applicants only) £75k. Please note, this role doesn't offer sponsorship.
Harnham are exclusively partnering with a fast-growing start-up with 30 people globally. As a business, they are currently making over £1 million in ARR and have a very strong pipeline.
The Company
This business provides essential insights to investors and hedge funds, helping them steer their investments. They track data across 200 companies and are making a real impact.
The Role
As a Data Science Manager, you will be:
- Managing a team of 3/4.
- Building models to produce KPI trackers, such as linear regression and statistical models.
- Accessing API integration of different software, working with databases and supporting the revenue team with their data analysis requirements.
Skills & Experience
- Statistics
- Data Science Modelling - Linear Regression, Attribution...
- Python
- Web Scraping would be ideal
- Interest or Background in Finance
- Masters Degree or equivalent in a relevant industry
How to Apply
Register your interest by sending your CV to Daniel Abbasi via the apply link on this page.
Data Science Manager employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager
✨Tip Number 1
Familiarise yourself with the latest trends in data science and finance. Understanding how data impacts investment decisions will give you an edge in interviews, showing your genuine interest in the role.
✨Tip Number 2
Brush up on your technical skills, especially in Python and statistical modelling. Being able to discuss specific projects or models you've built can demonstrate your expertise and problem-solving abilities.
✨Tip Number 3
Prepare to discuss your experience in managing teams. Highlighting your leadership style and how you've successfully guided team members in past roles will be crucial for this managerial position.
✨Tip Number 4
Network with professionals in the data science and finance sectors. Engaging with industry peers can provide insights into the company culture and expectations, which can be beneficial during your interview.
We think you need these skills to ace Data Science Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in managing teams and building models. Emphasise your skills in statistics, Python, and any experience with web scraping or finance.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your interest in the finance sector. Mention specific projects or achievements that demonstrate your ability to lead a team and deliver impactful insights.
Highlight Relevant Skills: In your application, clearly outline your proficiency in linear regression, statistical modelling, and API integration. Provide examples of how you've used these skills in previous roles to support business objectives.
Follow Application Instructions: Ensure you send your application directly to Daniel Abbasi via the apply link provided. Double-check that your CV and cover letter are attached and formatted correctly before hitting send.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
As a Data Science Manager, you'll need to demonstrate your expertise in statistics and data science modelling. Be prepared to discuss specific projects where you've used linear regression or other statistical models, and how they contributed to business outcomes.
✨Highlight Leadership Experience
Since you'll be managing a team, it's crucial to showcase your leadership skills. Share examples of how you've successfully led teams in the past, focusing on your approach to mentoring and developing talent within your team.
✨Understand the Business Context
Familiarise yourself with the company's mission and the impact of their work on investors and hedge funds. Being able to articulate how your role as a Data Science Manager can contribute to their goals will set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions related to Python, API integration, and web scraping. Brush up on these topics and be ready to solve problems or explain your thought process during the interview to demonstrate your analytical skills.
