At a Glance
- Tasks: Lead a Data Science team to tackle real-world business challenges using Machine Learning.
- Company: Join one of the UK's largest media companies with a focus on innovation.
- Benefits: Generous salary, bonus, pension contributions, healthcare, and flexible working options.
- Other info: Opportunity for hybrid work and excellent career advancement in a dynamic environment.
- Why this job: Make a significant impact by developing next-gen intelligent solutions at scale.
- Qualifications: 8+ years in Statistics and Machine Learning, with strong Python and team management skills.
The predicted salary is between 125000 - 125000 £ per year.
We’re looking for a Head of Data Science who has experience managing teams developing end-to-end Machine Learning models at scale. You will join one of the UK’s largest media companies and lead a Data Science team working on modelling business problems including next-generation intelligent pricing, marketing, fraud, networking, and customer engagement tools, with a focus on building and deploying products at scale.
You should come from a strong statistical analysis/mathematical background with experience in applying solutions to real-world problems. You will be able to identify opportunities in data, manage multiple teams of Data Scientist/Engineers (Data and Machine Learning), and have strong hands-on experience in Machine Learning, Cloud technologies, and CI/CD.
Skills and Experience
- At least 8 years’ experience in Statistics and Machine Learning
- Hands-on experience building and deploying ML models for business solutions
- Strong Python Engineering experience (software/data)
- Managed teams of at least 7 Data Scientist/ML Engineers/Data Engineers
- Worked in a build for production environment
What’s on Offer
There’s a generous base salary of up to £125k on offer alongside a comprehensive package which includes up to 15% bonus, up to 10% matched pension contribution, extensive healthcare and wellness programs, and flexible working. This position will have flexible/Hybrid working, but you will be required to attend one of our offices in London or Berkshire on occasions.
Head of Data Science in London employer: ClickJobs.io
As one of the UK’s largest media companies, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our Head of Data Science role offers not only a competitive salary and comprehensive benefits package, including generous bonuses and flexible working arrangements, but also significant opportunities for professional growth and development within a cutting-edge environment focused on real-world applications of data science.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science in 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 job openings or can put in a good word for you.
✨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 experience and how you've tackled real-world problems. Make it easy for potential employers to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership skills. Be ready to discuss your experience managing teams and deploying ML models at scale. We want to hear how you've driven success in previous roles!
✨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 in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in managing teams and developing Machine Learning models. We want to see how your background aligns with the role, so don’t be shy about showcasing your statistical analysis skills!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Head of Data Science role. Share specific examples of how you've tackled real-world problems using data and led successful projects.
Showcase Your Technical Skills:We’re looking for someone with strong Python engineering experience and hands-on ML model deployment. Make sure to include relevant projects or achievements that demonstrate your technical prowess in these areas.
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’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at ClickJobs.io
✨Know Your Data Science Stuff
Make sure you brush up on your statistical analysis and machine learning concepts. Be ready to discuss your hands-on experience with building and deploying ML models, as well as any specific projects you've led. This is your chance to showcase your expertise!
✨Showcase Your Leadership Skills
Since this role involves managing teams, be prepared to talk about your experience leading Data Scientists and Engineers. Share examples of how you've successfully managed multiple teams and driven projects to completion. Highlight your ability to identify opportunities in data and how you've applied solutions to real-world problems.
✨Familiarise Yourself with the Company
Research the company’s current projects and challenges in the media industry. Understanding their business model and how data science can impact their operations will help you tailor your responses and demonstrate your genuine interest in the role.
✨Prepare for Technical Questions
Expect some technical questions related to Python engineering and cloud technologies. Brush up on your coding skills and be ready to solve problems on the spot. Practising common data science interview questions can give you a leg up and help you feel more confident.
