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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 focused on scaling its data function.
- 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 models.
- Other info: Work in a collaborative environment with a focus on innovation.
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 and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving machine learning and data engineering. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership experience. Be ready to discuss how you've led teams and delivered impactful data solutions 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 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.
Be Authentic: Let your personality shine through in your application. We want to see who you are beyond your qualifications, so don’t hesitate to share your passion for data science and how you envision leading a team.
Apply Through Our Website: For the best chance of getting noticed, make sure to apply directly through our website. This helps us keep track of applications and ensures you’re considered for this exciting opportunity!
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 will show that you have the hands-on expertise they’re looking for.
✨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 aligned projects with company goals. Highlight your ability to partner with senior stakeholders and drive team performance.
✨Understand Their Business Goals
Familiarise yourself with the company's objectives and how data science can impact areas like pricing and personalisation. Be ready to discuss how you would align the data science strategy with their OKRs. This shows that you’re not just technically savvy but also business-minded.
✨Ask Insightful Questions
Prepare thoughtful questions about their current data practices and future goals. This could include inquiries about their transition to machine learning engineering or how they measure the success of data initiatives. It demonstrates your genuine interest in the role and helps you assess if it’s the right fit for you.
