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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 growth.
- 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 mentorship and professional development.
The predicted salary is between 100000 - 120000 £ per year.
Head of Data Science
Salary: £110K – £120K + bonus
Location: Manchester 2-4 days a month
The Opportunity
We’re 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’ll 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’ll 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
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Head of Data Science employer: Data Science Festival
Contact Detail:
Data Science Festival 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 and let them know you're on the hunt for a Head of Data Science role. You never know who might have the inside scoop on an opportunity or can put in a good word for you.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio that highlights your past projects, especially those involving machine learning models and team leadership. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Ace the interview! Research the company’s data strategy and come prepared with ideas on how you can contribute. Be ready to discuss your experience with tools like Python and Databricks, and how you've led teams to success in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
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 experiences that match the Head of Data Science role. Highlight your leadership experience in data science and any hands-on work with ML models, as this will catch our eye!
Showcase Your Impact: When detailing your past roles, focus on the measurable impact you've had. We love to see how you've driven results in areas like search, pricing, or personalisation—numbers speak volumes!
Be Authentic: Let your personality shine through in your application. We’re looking for someone who can lead a team and inspire others, so don’t be afraid to show us what makes you unique and passionate about data science.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Data Science Festival
✨Know Your Data Science Stuff
Make sure you brush up on your technical skills, especially around machine learning and data engineering. Be ready to discuss your experience with tools like Python, Databricks, and Spark, as well as any projects where you've deployed models at scale.
✨Showcase Your Leadership Skills
As a Head of Data Science, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've successfully managed teams in the past, particularly in product-led environments, and be ready to discuss how you can support the growth of your future team.
✨Align with Company Goals
Familiarise yourself with the company's OKRs and think about how your vision for the data science function aligns with them. Be prepared to articulate how you would drive measurable impact in key areas like pricing and personalisation.
✨Prepare Questions for Them
Interviews are a two-way street! Think of insightful questions that show your interest in the role and the company. Ask about their current data initiatives, team dynamics, or how they envision the transition towards machine learning engineering.
