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- Tasks: Lead data science projects and deploy AI/ML solutions across various departments.
- Company: Lexis Nexis, a leader in data-driven solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a collaborative team in Greater London with diverse problem-solving opportunities.
- Why this job: Make a real impact with cutting-edge AI/ML technologies in a dynamic environment.
- Qualifications: Proficiency in OpenAI APIs, SQL, and experience with Databricks, Spark, and AWS.
The predicted salary is between 60000 - 80000 £ per year.
Lexis Nexis is looking for a Senior Data Scientist II to lead data science projects across Product, Sales, Finance, Marketing, Customer Success, and Engineering in Greater London. The ideal candidate will design, build, and deploy AI/ML solutions, with strong proficiency in OpenAI APIs, machine learning fundamentals, and data engineering.
You'll work on diverse problems and deliver solutions that have a measurable impact. The position requires strong SQL skills and experience with tools like Databricks, Spark, and AWS.
Senior Data Scientist: GenAI & ML Impact Lead in London employer: Lexis Nexis
Contact Detail:
Lexis Nexis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist: GenAI & ML Impact Lead in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those using OpenAI APIs or tools like Databricks and Spark. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL skills and understanding the latest trends in data science. We recommend practising common interview questions and even doing mock interviews with friends to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Scientist: GenAI & ML Impact Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with AI/ML solutions and any relevant projects you've led. We want to see how your skills align with what we're looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include specific examples of how you've used SQL, Databricks, or AWS in your previous roles. This helps us understand your hands-on experience and how you can contribute to our team.
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 make an impact at Lexis Nexis. We love seeing enthusiasm and a clear connection 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 applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Lexis Nexis
✨Know Your Tech Inside Out
Make sure you’re well-versed in OpenAI APIs, machine learning fundamentals, and data engineering concepts. Brush up on your SQL skills and be ready to discuss how you've used tools like Databricks, Spark, and AWS in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples of how you've tackled diverse problems in previous roles. Think about the measurable impacts your solutions had and be ready to explain your thought process during those projects.
✨Understand the Business Context
Since you'll be working across various departments like Product, Sales, and Marketing, it’s crucial to understand how data science can drive value in these areas. Research Lexis Nexis and think about how your role can contribute to their goals.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about the types of projects you might work on or how success is measured for the Senior Data Scientist position. This demonstrates your enthusiasm and strategic thinking.