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- Tasks: Lead a talented team in shaping the future of data science and machine learning.
- Company: High-growth data-focused company with a dynamic environment.
- Benefits: Competitive salary, bonuses, and opportunities for professional growth.
- Why this job: Make a significant impact by driving innovation in machine learning engineering.
- Qualifications: Proven leadership in data science and experience with machine learning models.
- Other info: Join a collaborative team and thrive in a fast-paced industry.
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 in London 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 in London
✨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 where you can chat with industry leaders and get your name out there.
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your past projects, especially those involving machine learning models. 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 skills. Be ready to discuss how you've mentored teams and set technical directions in previous roles. We want to see your passion for 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 are proactive about their job search.
We think you need these skills to ace Head of Data Science & ML Engineering in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences that align with the Head of Data Science role. Highlight your leadership experience and any successful machine learning projects you've led, as this will show us you're the right fit for our team.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how your vision aligns with our goals. Be sure to mention any relevant achievements that demonstrate your ability to lead and mentor teams.
Showcase Your Technical Skills: In your application, don't forget to highlight your technical expertise in data science and machine learning. We want to see examples of models you've built and deployed, so include any relevant metrics or outcomes that showcase your impact.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people quickly and allows us to keep track of all candidates efficiently. Plus, it shows us you're serious about joining our team!
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 that you not only understand the theory but also have practical experience.
✨Showcase Your Leadership Skills
As a Head of Data Science, you'll need to demonstrate your leadership abilities. Prepare examples of how you've mentored teams or guided projects to success. Think about challenges you've faced and how you motivated your team to overcome them. This will highlight your capability to lead a team of 6+ effectively.
✨Understand the Company’s Vision
Research the company’s goals and how they utilise data science and machine learning. Be prepared to discuss how you can align your technical direction with their operational areas. Showing that you understand their mission will set you apart as a candidate who is genuinely interested in contributing to their success.
✨Prepare Thoughtful Questions
Interviews are a two-way street, so come armed with insightful questions. Ask about their current data initiatives, the challenges they face, and how they envision the role evolving. This not only shows your interest but also helps you gauge if the company is the right fit for you.
