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- Tasks: Lead the data science function and build predictive models from scratch.
- Company: Innovative B2B SaaS platform with a focus on AI and ML.
- Benefits: Remote work, paid office days, and direct collaboration with founders.
- Why this job: Enjoy autonomy and shape the future of data science in a growing team.
- Qualifications: 4-5 years in Data Science with strong Python skills.
- Other info: Great opportunity for career growth and making impactful decisions.
The predicted salary is between 42000 - 84000 ÂŁ per year.
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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
Senior Recruitment Consultant – Analytics Recruiter in the North & Midlands (UK)
Location: Remote – occasional travel to London
Salary: Up to ÂŁ70,000
Type: Permanent
THE COMPANY
An innovative B2B SaaS platform working with top-tier private equity firms is seeking their first DS hire, with lots of autonomy and room to grow a team.
THE ROLE
You’ll take ownership of the entire data science function—starting with building a robust customer scoring model to better match users to opportunities. You’ll also advise on how AI/ML can improve internal tools and customer experience. This role is perfect for someone entrepreneurial who enjoys autonomy and building from scratch.
KEY RESPONSIBILITIES
- Build predictive models (e.g., customer scoring, matching algorithms)
- Own the full model lifecycle: scoping, building, deploying
- Work closely with engineers and leadership to shape the roadmap
- Explore use of GenAI and NLP to enhance platform capabilities
YOUR SKILLS AND EXPERIENCE
- 4–5 years’ experience in Data Science
- Strong Python + experience putting models into production
- End-to-end project experience (scoping to delivery)
- Happy in standalone roles and comfortable making decisions
BENEFITS
- 1 day/month in office (expenses paid)
- Work directly with founders + VP of Data
- Freedom to shape future data science strategy
Interested? Please register your interest by sending your CV to Lauren McAlister via the Apply link on this page.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
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Job function
Science and Analyst
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Industries
Technology, Information and Media
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Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. Whether it's predictive models or cool algorithms, having tangible examples of your work can really impress recruiters.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your data science projects, especially those involving Python and model deployment, to show us you’re the right fit.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re excited about this role and how your entrepreneurial spirit aligns with our innovative culture. Share specific examples of your past work that demonstrate your ability to take ownership.
Showcase Your Projects: Include links to any relevant projects or GitHub repositories in your application. We love seeing practical examples of your work, especially if they involve predictive models or AI/ML applications.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team.
How to prepare for a job interview at Harnham
✨Know Your Models Inside Out
Make sure you can discuss your experience with predictive models in detail. Be ready to explain the methodologies you've used, the challenges you faced, and how you overcame them. This will show your depth of knowledge and hands-on experience.
✨Showcase Your Autonomy
Since this role involves a lot of independence, prepare examples that highlight your ability to work autonomously. Discuss projects where you took the lead, made decisions, and drove results without much oversight.
✨Brush Up on Python and Deployment
As strong Python skills are essential, be prepared to demonstrate your coding abilities. You might even be asked to solve a problem on the spot, so practice common data science tasks and ensure you can articulate your thought process clearly.
✨Understand the Company’s Vision
Research the company and its goals, especially regarding AI/ML applications. Be ready to discuss how you can contribute to their vision and suggest innovative ideas for enhancing their platform using GenAI and NLP.
