Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead innovative data science projects and develop impactful ML models.
- Company: Join LexisNexis Risk Solutions, a leader in analytics technology.
- Benefits: Full-time role with opportunities for career growth and cutting-edge tech.
- Other info: Collaborate with cross-functional teams to deliver analytics solutions.
- Why this job: Make a real impact using GenAI and machine learning in a dynamic environment.
- Qualifications: Strong Python skills and experience with OpenAI APIs required.
The predicted salary is between 60000 - 80000 £ per year.
LexisNexis Risk Solutions is seeking a Senior Data Scientist II in Farringdon to lead innovative data science projects. The ideal candidate will have strong Python programming skills and extensive experience with machine learning, particularly using OpenAI APIs for GenAI applications.
Responsibilities include:
- Developing and deploying ML models
- Building feature pipelines
- Collaborating with cross-functional teams to deliver impactful analytics solutions
This full-time position offers opportunities to work on cutting-edge analytics technologies.
Senior Data Scientist II — GenAI & Enterprise ML Leader employer: LexisNexis Risk Solutions
Contact Detail:
LexisNexis Risk Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist II — GenAI & Enterprise ML Leader
✨Tip Number 1
Network like a pro! Reach out to folks in the data science community, especially those who work with GenAI and machine learning. Attend meetups or webinars to connect with potential colleagues and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and OpenAI APIs. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining your past projects and how you tackled challenges, as this will help you stand out during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Senior Data Scientist II — GenAI & Enterprise ML Leader
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python programming experience in your application. We want to see how you've used it in real projects, especially with machine learning and OpenAI APIs.
Talk About Your ML Experience: Don’t hold back on sharing your extensive experience with machine learning. We’re looking for specific examples of models you’ve developed and deployed, so give us the juicy details!
Collaboration is Key: Since this role involves working with cross-functional teams, let us know about your collaborative experiences. Share how you’ve worked with others to deliver impactful analytics solutions.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you into our system quickly!
How to prepare for a job interview at LexisNexis Risk Solutions
✨Master Your Python Skills
Make sure you brush up on your Python programming skills before the interview. Be ready to discuss specific projects where you've used Python, especially in relation to machine learning and OpenAI APIs. Practising coding challenges can also help you feel more confident.
✨Showcase Your ML Experience
Prepare to talk about your experience with machine learning in detail. Think of examples where you've developed and deployed ML models, and be ready to explain the impact of your work. Highlight any innovative solutions you've implemented, particularly in GenAI applications.
✨Collaborate Like a Pro
Since this role involves working with cross-functional teams, be prepared to discuss how you've successfully collaborated with others in past projects. Share specific instances where your teamwork led to impactful analytics solutions, and emphasise your communication skills.
✨Stay Updated on Analytics Technologies
Familiarise yourself with the latest trends and technologies in analytics. Being knowledgeable about cutting-edge tools and techniques will show your passion for the field. You might even want to mention any recent developments in GenAI that excite you during the interview.