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- Tasks: Lead a team to develop innovative Search and Recommendations systems using data science.
- Company: Join a forward-thinking educational publishing company with a flexible work culture.
- Benefits: Enjoy a competitive salary, 33 days annual leave, and continuous learning opportunities.
- Why this job: Make a real impact in education while working remotely or in a hybrid setup.
- Qualifications: Strong experience in statistical modelling, machine learning, and Python is essential.
- Other info: Flexible environment with great potential for career growth.
The predicted salary is between 60000 - 80000 £ per year.
An educational publishing company is seeking a Senior Data Scientist to develop Search and Recommendations systems. You will work in a flexible environment (remote, hybrid, or office-based) and lead a team in applying modern data techniques.
Strong experience in statistical modeling, machine learning, and Python is essential.
The role offers a salary of £60,000 – £80,000, 33 days annual leave, and continuous learning opportunities to make a real impact in education.
Senior Data Scientist — Lead Education Data & AI (Remote) in Sheffield employer: Twinkl Educational Publishing
Contact Detail:
Twinkl Educational Publishing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist — Lead Education Data & AI (Remote) in Sheffield
✨Tip Number 1
Network like a pro! Reach out to folks in the education and data science sectors on LinkedIn. A friendly chat can open doors and give you insights into the company culture.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects in statistical modelling and machine learning. This is your chance to demonstrate how you can lead and innovate in the role.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by brushing up on common data science questions and scenarios. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our mission to impact education.
We think you need these skills to ace Senior Data Scientist — Lead Education Data & AI (Remote) in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in statistical modelling and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about education and how your expertise in Python can help us develop top-notch Search and Recommendations systems.
Showcase Your Team Leadership Skills: Since this role involves leading a team, make sure to mention any previous leadership experiences. We love to see how you’ve motivated others and driven projects to success in your past roles.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at Twinkl Educational Publishing
✨Know Your Data Inside Out
Make sure you brush up on your statistical modelling and machine learning techniques. Be ready to discuss specific projects where you've applied these skills, especially in Python. This will show that you not only understand the theory but can also implement it effectively.
✨Showcase Your Leadership Skills
As a Senior Data Scientist, you'll be leading a team. Prepare examples of how you've successfully managed projects or mentored others in the past. Highlight your ability to foster collaboration and drive results within a team setting.
✨Understand the Company’s Mission
Research the educational publishing company and its goals. Be prepared to discuss how your work in data science can contribute to their mission of improving education through technology. This shows genuine interest and alignment with their values.
✨Prepare for Technical Questions
Expect technical questions related to search and recommendation systems. Brush up on algorithms, data structures, and any relevant frameworks. Practising coding challenges in Python can also help you feel more confident during the interview.
