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- Tasks: Lead a team of data scientists and drive impactful machine learning initiatives.
- Company: A top data recruitment firm with a focus on innovation.
- Benefits: Competitive salary, leadership opportunities, and a dynamic work environment.
- Why this job: Shape the future of data science and mentor the next generation of talent.
- Qualifications: Strong leadership in data science and proficiency in Databricks and Python.
- Other info: Full-time role based in Greater London with workspace in Manchester.
The predicted salary is between 48000 - 72000 £ per year.
A leading data recruitment firm is seeking a Head of Data Science to lead a team of 6+ data scientists and oversee the transition to machine learning engineering. This role involves setting the technical direction, ensuring team alignment with company objectives, and driving impactful data initiatives.
Candidates should have strong leadership experience in data science, proficiency in tools like Databricks and Python, and a passion for mentoring talented professionals.
This full-time position is based in Greater London with workspace in Manchester.
Head of Data Science & ML Engineering employer: Data Idols
Contact Detail:
Data Idols Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science & ML Engineering
✨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 new role. You never know who might have the inside scoop on opportunities that aren't advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past 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 leadership and technical skills. Be ready to discuss how you've led teams and driven data initiatives in the past. We want to see your passion for mentoring and guiding others!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Head of Data Science & ML Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Head of Data Science role. Highlight your leadership experience and any relevant projects you've led, especially those involving machine learning engineering.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how you can drive impactful initiatives. Share specific examples of how you've mentored others and set technical direction in previous roles.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in tools like Databricks and Python. We want to see how you’ve used these tools to achieve results in your past work, so be specific!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Data Idols
✨Know Your Data Science Stuff
Make sure you brush up on your data science and machine learning knowledge. Be ready to discuss your experience with tools like Databricks and Python, as well as any projects you've led. This is your chance to showcase your technical expertise and how it aligns with the company's goals.
✨Show Off Your Leadership Skills
As a Head of Data Science, you'll need to demonstrate strong leadership abilities. Prepare examples of how you've successfully led teams in the past, mentored junior staff, and driven impactful data initiatives. Highlight your approach to team alignment and how you ensure everyone is working towards common objectives.
✨Understand the Company’s Vision
Research the company and its objectives thoroughly. Understand their current data initiatives and think about how you can contribute to their success. Being able to articulate how your vision for the data science team aligns with theirs will set you apart from other candidates.
✨Prepare Thoughtful Questions
Interviews are a two-way street, so come prepared with insightful questions. Ask about the company's future data projects, team dynamics, and how they measure success in data initiatives. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
