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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 AI in the legal sector.
- 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 England 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 England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with OpenAI APIs and data engineering. This will not only impress but also give you something concrete to discuss during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data scientists, especially those related to AI and ML. Mock interviews with friends or using online platforms can help you nail it.
✨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, 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 England
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. Let us know what excites you about working in a legal information provider.
Showcase Collaboration Skills: Since this role involves working closely with diverse teams, highlight any past experiences where you’ve successfully collaborated across functions. We love seeing teamwork in action!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
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 outcomes.
✨Collaboration is Key
Since this role involves working across various business functions, think of instances where you've successfully collaborated with diverse teams. Highlight your communication skills and how you adapt your approach to different stakeholders.
✨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.
