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- Tasks: Lead data analysis and drive innovation in educational assessments using AI and machine learning.
- Company: Global education company focused on impactful learning solutions.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a difference in education while working with cutting-edge technology.
- Qualifications: Strong data analysis skills, Python proficiency, and a passion for learning.
- Other info: 12-month fixed-term contract with a full-time schedule.
The predicted salary is between 36000 - 60000 £ per year.
A global education company is seeking a Lead Specialist in Data Science to interpret data and drive innovation in their assessments. This role involves using AI and machine learning to create insights and prototypes, collaborating with diverse teams to offer impactful learning solutions.
Ideal candidates will have strong data analysis skills, Python proficiency, and a passion for education and learning. This is a 12-month fixed-term contract with a full-time schedule.
Lead Data Scientist, Innovation (Remote) employer: Pearson
Contact Detail:
Pearson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist, Innovation (Remote)
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the education sector, especially those in data science roles. They can provide insider info and might even refer you directly, which can give your application a serious boost.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving AI and machine learning. This will not only demonstrate your expertise but also your passion for innovation in education.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as collaboration is key in this role. We want to see how you tackle problems and work with diverse teams!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our mission to enhance education through data-driven insights.
We think you need these skills to ace Lead Data Scientist, Innovation (Remote)
Some tips for your application 🫡
Show Your Passion for Education: When writing your application, let us see your enthusiasm for education and learning. Share any relevant experiences or projects that highlight your commitment to making a difference in this field.
Highlight Your Data Skills: Make sure to showcase your data analysis skills and Python proficiency clearly. Use specific examples from your past work to demonstrate how you've used these skills to drive innovation and create insights.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the job description. Mention how your experience aligns with the role of Lead Data Scientist and how you can contribute to our mission.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Pearson
✨Know Your Data Science Stuff
Make sure you brush up on your data analysis skills and Python proficiency. Be ready to discuss specific projects where you've used AI and machine learning to drive innovation. Having concrete examples will show your expertise and passion for the field.
✨Show Your Collaborative Spirit
This role involves working with diverse teams, so be prepared to talk about your experience in collaboration. Share stories that highlight how you've successfully worked with others to create impactful solutions in education or similar fields.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Review common data science concepts and be ready to solve problems on the spot. Practising coding challenges in Python can help you feel more confident and showcase your skills effectively.
✨Express Your Passion for Education
Since this role is with a global education company, make sure to convey your enthusiasm for learning and education. Discuss any relevant experiences or initiatives you've been involved in that demonstrate your commitment to improving educational outcomes through data science.
