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For Companies At a Glance
- Tasks: Lead a dynamic team of data scientists and drive machine learning initiatives.
- Company: High-growth business in Manchester focused on data innovation.
- Benefits: Competitive salary, bonus, and opportunities for career development.
- Why this job: Shape the future of data science and make a real impact across the company.
- Qualifications: Proven leadership in data science and experience with ML model deployment.
- Other info: Collaborative environment with a focus on engineering best practices.
The predicted salary is between 110000 - 120000 £ per year.
Salary: £110K - £120K + bonus
Location: Manchester 2-4 days a month
The Opportunity
We are working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline.
As Head of Data Science, you will lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You will drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance.
Skills and Experience
- Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations
- Strong background in building and deploying ML models at scale in production environments
- Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains
- Hands-on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery
- Engineering mindset, with experience moving teams toward machine learning engineering best practice
- Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development
If you are looking for a new challenge, then please submit your CV for initial screening and more details.
Head of Data Science employer: Data Idols
Contact Detail:
Data Idols Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work in product-led companies. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best machine learning projects. This is your chance to demonstrate your hands-on expertise with tools like Python and Databricks, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your leadership experience. Be ready to discuss how you've successfully led teams and driven projects from research to deployment. We want to hear about your impact!
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Head of Data Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your leadership experience in data science and any hands-on technical expertise you have with tools like Python and Databricks.
Showcase Your Impact: When detailing your previous roles, focus on the measurable impact you've had. Use specific examples of how you've driven projects or teams towards success, especially in areas like machine learning engineering or model deployment.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your vision for leading a data science team and how you plan to align with our company-wide OKRs. Make it personal and engaging!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity as Head of Data Science.
How to prepare for a job interview at Data Idols
✨Know Your Data Science Stuff
Make sure you brush up on your technical skills, especially around machine learning models and tools like Python and Databricks. Be ready to discuss your past projects and how you've deployed models in production. This is your chance to show off your hands-on expertise!
✨Show Your Leadership Skills
As a Head of Data Science, you'll need to demonstrate your leadership experience. Prepare examples of how you've successfully led teams, mentored individuals, and collaborated with senior stakeholders. Highlight your ability to structure teams and drive alignment with company goals.
✨Understand the Business Impact
Get familiar with how data science can impact areas like pricing, marketing, and operations. Be ready to discuss how your strategies can deliver measurable results. This shows that you’re not just a techie but also understand the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future goals. This not only shows your interest but also helps you gauge if the company aligns with your vision for data science. It’s a two-way street, after all!
