At a Glance
- Tasks: Lead a Data Science team to tackle real-world business problems with innovative ML solutions.
- Company: Join one of the UK's largest media companies and make an impact.
- Benefits: Generous salary, bonuses, pension contributions, healthcare, and flexible working options.
- Other info: Opportunity for career growth in a collaborative and innovative setting.
- Why this job: Shape the future of data science in a dynamic and supportive environment.
- Qualifications: 8+ years in statistics and machine learning, with strong team management experience.
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
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 employer: ClickJobs.io
Join one of the UK’s largest media companies as the Head of Data Science, where you will lead a dynamic team in tackling complex business challenges through innovative Machine Learning solutions. With a strong emphasis on employee growth, you will benefit from a generous salary package, flexible working arrangements, and extensive healthcare programs, all within a collaborative and forward-thinking work culture that values creativity and impact. This role not only offers the chance to work with cutting-edge technology but also provides opportunities for professional development in a vibrant London or Berkshire office environment.
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. A personal recommendation can go a long way in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best Machine Learning projects. This will not only demonstrate your expertise but also give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data science and be ready to discuss your past experiences managing teams and deploying models.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic roles waiting for you, and applying directly can sometimes give you an edge over other candidates. Plus, it’s super easy!
We think you need these skills to ace Head of Data Science
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 teams.
Showcase Your Technical Skills:We’re looking for someone with strong Python engineering experience and hands-on ML expertise. Make sure to include relevant projects or achievements that demonstrate your technical prowess in your application.
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 specific projects where you've built and deployed ML models, especially in a production environment. This will show that you not only understand the theory but can apply it to real-world problems.
✨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 motivated your team, handled conflicts, or guided them through complex projects. This will demonstrate your ability to lead effectively.
✨Familiarise Yourself with Cloud Technologies
Given the emphasis on cloud technologies in the job description, make sure you know your way around platforms like AWS, Azure, or Google Cloud. Be ready to discuss how you've used these tools in past projects, particularly in deploying ML models at scale.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical business problems using data science techniques. Practice articulating your thought process clearly and logically. This will help interviewers see how you approach problem-solving and decision-making in a data-driven context.
