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- Tasks: Design and deploy AI and ML solutions across various business functions.
- Company: Leading legal information provider in the UK with a focus on innovation.
- Benefits: Flexible working hours, generous benefits, and strong work/life balance.
- Why this job: Join a dynamic team and shape the future of legal tech with AI.
- Qualifications: Experience with OpenAI APIs and strong data engineering skills.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 54000 - 84000 £ per year.
A leading legal information provider in the UK seeks a Senior Data Scientist II to design and deploy AI and ML solutions. You will work across various business functions, collaborating closely with diverse teams. The ideal candidate will have solid experience with OpenAI APIs and strong capabilities in data engineering. The role offers generous benefits, including flexible working hours and a strong focus on work/life balance.
Senior Data Scientist II – GenAI & Enterprise ML Lead in London employer: LexisNexis Legal
Contact Detail:
LexisNexis Legal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist II – GenAI & Enterprise ML Lead in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in AI and ML. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with OpenAI APIs and data engineering. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data science scenarios and case studies. We want you to feel confident discussing how you’d tackle real-world problems using AI and ML.
✨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 take that extra step.
We think you need these skills to ace Senior Data Scientist II – GenAI & Enterprise ML Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI and ML solutions, especially with OpenAI APIs. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Collaboration Skills: Since this role involves working across various business functions, make sure to mention any past experiences where you collaborated with diverse teams. We value teamwork and want to know how you can fit into our culture.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, we can’t wait to hear from you!
How to prepare for a job interview at LexisNexis Legal
✨Know Your AI and ML Stuff
Make sure you brush up on your knowledge of AI and ML solutions, especially around OpenAI APIs. Be ready to discuss specific projects you've worked on and how you’ve applied these technologies in real-world scenarios.
✨Showcase Your Data Engineering Skills
Prepare to talk about your experience with data engineering. Think of examples where you’ve designed or optimised data pipelines, and be ready to explain the impact of your work on business functions.
✨Collaboration is Key
Since this role involves working closely with diverse teams, be prepared to share examples of how you’ve successfully collaborated in the past. Highlight your communication skills and how you adapt to different team dynamics.
✨Emphasise Work/Life Balance
This company values work/life balance, so it’s a good idea to express your understanding of its importance. Share how you manage your time effectively and maintain productivity while ensuring personal well-being.
