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- Tasks: Lead a talented team in shaping the future of data science and machine learning.
- Company: Join a high-growth, data-focused company making waves in the industry.
- Benefits: Enjoy a competitive salary, bonuses, and opportunities for professional growth.
- Why this job: Make a significant impact by guiding teams and driving innovation in ML engineering.
- Qualifications: Proven leadership in data science and experience with machine learning models.
- Other info: Located in England, this role offers a dynamic environment and career advancement.
The predicted salary is between 110000 - 120000 £ per year.
A high-growth data-focused company is seeking a Head of Data Science to lead a team of 6+. In this role, you will set the technical direction and foster the transition to machine learning engineering, significantly impacting various operational areas.
Ideal candidates should have:
- Proven leadership in data science
- Experience with building and deploying machine learning models
- The ability to guide teams with mentorship
This position is located in England and offers a competitive salary of £110K to £120K plus bonus.
Head of Data Science & ML Engineering employer: Data Science Festival
Contact Detail:
Data Science Festival 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 and ML engineering fields. Attend meetups, webinars, or conferences to meet potential employers and showcase your expertise.
✨Tip Number 2
Showcase your projects! Create a portfolio that highlights your experience with building and deploying machine learning models. This will give you an edge and demonstrate your hands-on skills to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your leadership skills. Be ready to discuss how you've guided teams in the past and how you plan to foster a collaborative environment in your new role.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right opportunities and connect with us directly. Your dream job in data science could be just a click away!
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 highlights your leadership experience in data science and any relevant projects you've worked on. We want to see how you've built and deployed machine learning models, so don’t hold back on those details!
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 your vision for leading a team and how you plan to foster the transition to machine learning engineering.
Showcase Your Mentorship Skills: We value mentorship at StudySmarter, so be sure to include examples of how you've guided teams in the past. Highlight any specific instances where your mentorship made a significant impact on your team's success.
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’re considered for this exciting opportunity. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Data Science Festival
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals and recent advancements in machine learning. Be ready to discuss specific projects you've led, the models you've built, and how you've deployed them in real-world scenarios. This will show your technical prowess and leadership experience.
✨Showcase Your Leadership Skills
Prepare examples that highlight your leadership style and how you've successfully guided teams in the past. Think about times when you mentored team members or drove a project to success. This is crucial for a role that involves leading a team of 6+.
✨Understand the Company’s Vision
Research the company’s goals and how they leverage data science and machine learning. Be ready to discuss how you can align your expertise with their vision and contribute to their growth. This shows that you're not just looking for any job, but that you're genuinely interested in their mission.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready to ask during the interview. This could be about their current data initiatives, challenges they face, or how they envision the transition to machine learning engineering. Asking good questions demonstrates your interest and strategic thinking.
