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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
Building Data Science and Machine Learning Teams in the UK | The Talent Driving The Data and AI Revolution
Data Scientist
Up to 45,000
Location (Remote)
Company:
This UK-based start-up has grown rapidly in just two years. With a team of 30 people, they are scaling quickly, supported by recent funding and a strong growth pipeline.
They specialise in predictive analytics, tracking KPIs for a wide range of companies and industries. Their insights empower investors to make informed decisions by providing performance data ahead of public reports.
Responsibilities:
- Clean and process data to ensure accuracy and usability.
- Build and maintain linear regression models for KPI tracking.
- Access APIs and integrate software tools to enhance workflows.
- Collaborate with the revenue team to generate insightful reports.
- Support internal product development by improving data pipelines and analysis.
Requirements:
- 1-2 years in data science or a related field, or a Master’s degree.
- Strong Python programming (essential), SQL, and linear regression/statistical modelling. Experience with web scraping, machine learning, or dashboarding is a plus.
- A background in finance or exposure to financial data is advantageous but not required.
How to Apply:
Register your interest by sending your CV to Emily Burgess via the Apply link on this page.
Seniority level
- Seniority levelMid-Senior level
Employment type
- Employment typeFull-time
Job function
- Job functionAnalyst
- IndustriesSoftware Development and Financial Services
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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.