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For Companies At a Glance
- Tasks: Lead a dynamic team of data scientists and shape the data science strategy.
- Company: High-growth business focused on scaling its data function.
- Benefits: Competitive salary, bonus, and flexible working arrangements.
- Why this job: Make a real impact in areas like search, pricing, and personalisation.
- Qualifications: Proven leadership in data science and experience with ML models.
- Other info: Opportunity for career growth and mentorship in a collaborative environment.
The predicted salary is between 79200 - 86400 £ 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 in City of London employer: Data Idols
Contact Detail:
Data Idols Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science in City of London
✨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 refer you directly.
✨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.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, ensuring it gets into the right hands. Plus, it shows you're serious about joining our high-growth business!
We think you need these skills to ace Head of Data Science in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Head of Data Science role. Highlight your leadership experience and technical skills that align with the job description. We want to see how your background fits into our vision!
Showcase Your Impact: When writing your application, focus on the measurable impact you've had in previous roles. Use specific examples of how you've driven data science initiatives or led teams to success. This helps us understand the value you can bring to our team.
Be Authentic: Let your personality shine through in your application. We’re looking for someone who not only has the right skills but also fits well with our culture. Don’t be afraid to show us what makes you unique!
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 don’t miss out on any important updates. Plus, it shows us you’re keen to join our team!
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 and model deployment. Be ready to discuss your experience with tools like Python, Databricks, and GCP/BigQuery. They’ll want to see that you can not only lead but also get your hands dirty when needed.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led data science teams in the past. Think about times when you’ve mentored team members or collaborated with stakeholders. Highlight your ability to structure teams and drive alignment with company goals.
✨Align with Their Vision
Understand the company's objectives and how the data science function fits into their overall strategy. Be ready to discuss how you would shape the data science strategy to support areas like personalisation and marketing, showing that you’re aligned with their vision.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Ask about their current data challenges, the team dynamics, or how they measure success in data science. This shows you’re not just interested in the job, but also in making a real impact.
