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- Tasks: Lead a team of data scientists and shape the data strategy for innovative projects.
- Company: High-growth tech company in the UK with a focus on data science and machine learning.
- Benefits: Competitive salary of £110K - £120K plus bonus and career advancement opportunities.
- Why this job: Drive the transition to machine learning engineering and make a significant impact.
- Qualifications: Proven leadership in data science or machine learning and experience in deploying models at scale.
- Other info: Mentor team members in a dynamic and collaborative environment.
The predicted salary is between 110000 - 120000 £ per year.
A high-growth tech company in the United Kingdom seeks a Head of Data Science to lead a team of data scientists and shape the data strategy. The role entails driving the transition towards machine learning engineering and ensuring alignment with company-wide objectives.
Candidates should have:
- Proven leadership in data science or machine learning
- Strong experience in deploying models at scale
- The ability to mentor team members
This position offers a competitive salary of £110K - £120K plus bonus.
Head of Data Science & ML Engineering in City of London 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 in City of 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 industry events to make those valuable contacts that could lead to job opportunities.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your best projects and achievements in data science and machine learning. This will give potential employers a clear view of 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 how you've successfully led teams and deployed models at scale, as these are key aspects of the role.
✨Tip Number 4
Don't forget to apply through our website! We have a range of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Head of Data Science & ML Engineering in City of London
Some tips for your application 🫡
Show Your Leadership Skills: When writing your application, make sure to highlight your leadership experience in data science or machine learning. We want to see how you've successfully led teams and driven projects, so share specific examples that showcase your ability to mentor and inspire others.
Align with Our Objectives: It's crucial to demonstrate how your vision for data strategy aligns with our company-wide objectives. We’re looking for candidates who can think strategically, so make sure to connect your past experiences with the goals we have at StudySmarter.
Talk About Scale: Since deploying models at scale is a key part of this role, don’t forget to include details about your experience in this area. We want to know how you’ve tackled challenges in scaling data solutions and what impact it had on your previous organisations.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values!
How to prepare for a job interview at Data Idols
✨Know Your Data Science Stuff
Make sure you brush up on the latest trends in data science and machine learning. Be ready to discuss your past projects, especially those where you deployed models at scale. This shows you not only understand the theory but also how to apply it in real-world scenarios.
✨Showcase Your Leadership Skills
As a Head of Data Science, you'll need to demonstrate your leadership abilities. Prepare examples of how you've successfully led teams, mentored junior members, and aligned projects with broader company goals. This will highlight your capability to drive the team forward.
✨Align with Company Objectives
Research the company's mission and values. During the interview, articulate how your vision for data strategy aligns with their objectives. This shows that you're not just looking for a job, but that you're genuinely interested in contributing to their success.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the company's data strategy, team dynamics, and future projects. This not only demonstrates your interest but also helps you gauge if the company is the right fit for you.
