At a Glance
- Tasks: Lead a team to develop machine learning solutions and scale data capabilities.
- Company: Huge, a dynamic company based in Greater London with major partnerships.
- Benefits: Competitive salary, career growth, and the chance to work with top brands.
- Other info: Join a collaborative environment focused on innovation and technology.
- Why this job: Make a real impact by enhancing human experiences through data-driven strategies.
- Qualifications: 5+ years of experience in data science and proficiency in Python and R.
The predicted salary is between 70000 - 90000 £ per year.
Huge, based in Greater London, is hiring a Manager of Data Science to scale their data capabilities and lead team collaboration on machine learning solutions. The ideal candidate will have 5+ years of experience, an undergraduate degree in a relevant field, and be proficient in Python and R Programming.
The role requires hands-on work in building data models and deep knowledge of cloud services like AWS or GCP.
Huge partners with major companies including Google and McDonald’s, aiming to elevate the human experience through unified brand engagements.
Data Science Manager: Lead ML & Data Strategy employer: Huge
Huge is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Greater London. With a strong focus on employee growth, we offer numerous opportunities for professional development and hands-on experience in cutting-edge machine learning projects. Our partnerships with industry leaders like Google and McDonald's not only enhance your career prospects but also allow you to contribute to meaningful initiatives that elevate the human experience.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager: Lead ML & Data Strategy
✨Tip Number 1
Network like a pro! Reach out to connections in the data science field, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data models and machine learning projects. This is your chance to shine and demonstrate your hands-on experience with Python, R, and cloud services.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key when leading a team and collaborating on solutions.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our awesome team!
We think you need these skills to ace Data Science Manager: Lead ML & Data Strategy
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Science Manager role. Highlight your experience with machine learning, Python, and R, and don’t forget to mention any cloud services you’ve worked with like AWS or GCP.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how your skills align with our mission at Huge. Be sure to mention any relevant projects or achievements.
Showcase Your Team Collaboration Skills:Since this role involves leading team collaboration, make sure to highlight your experience working in teams. Share examples of how you’ve successfully collaborated on machine learning solutions in the past.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly!
How to prepare for a job interview at Huge
✨Know Your Data Inside Out
Make sure you’re well-versed in the data models and machine learning solutions you've worked on. Be ready to discuss specific projects, the challenges you faced, and how you overcame them. This will show your hands-on experience and problem-solving skills.
✨Brush Up on Python and R
Since proficiency in Python and R is key for this role, review your coding skills before the interview. Consider preparing a few examples of how you've used these languages in past projects, especially in relation to data modelling and analysis.
✨Familiarise Yourself with Cloud Services
Given the importance of cloud services like AWS or GCP in this role, make sure you understand their functionalities and how they can be leveraged for data science projects. Be prepared to discuss any relevant experience you have with these platforms.
✨Align with Huge's Vision
Research Huge and their partnerships with companies like Google and McDonald’s. Understand their mission to enhance the human experience through data. This will help you articulate how your skills and experiences align with their goals during the interview.
