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- Tasks: Build advanced analytics and machine learning solutions using Python and cloud technologies.
- Company: Join LexisNexis Risk Solutions, a leader in data science and AI.
- Benefits: Full-time role with competitive salary and opportunities for impactful projects.
- Other info: Exciting opportunity for career growth in a dynamic team environment.
- Why this job: Make a real difference by working on innovative projects across various business functions.
- Qualifications: Strong understanding of data engineering, ML modeling, and experience with Databricks and SQL.
The predicted salary is between 60000 - 80000 £ per year.
LexisNexis Risk Solutions is looking for a Data Scientist III to join their Data Science & AI team in Greater London. The role involves building advanced analytics and machine learning solutions using technologies such as Python, OpenAI APIs, and cloud platforms like AWS.
The ideal candidate will have a strong understanding of data engineering, ML modeling, and experience with tools like Databricks and SQL. This full-time position offers an opportunity to work on impactful projects across various business functions.
GenAI & ML Data Scientist III employer: LexisNexis Risk Solutions
Contact Detail:
LexisNexis Risk Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI & ML Data Scientist III
✨Tip Number 1
Network like a pro! Reach out to folks in the Data Science & AI field on LinkedIn or at meetups. We can’t stress enough how a personal connection can give you an edge over other candidates.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, ML models, and cloud platforms. We love seeing real-world applications of your expertise!
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills. We recommend practising coding challenges and discussing your past projects. Be ready to explain your thought process and problem-solving approach.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates who want to make an impact.
We think you need these skills to ace GenAI & ML Data Scientist III
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, machine learning, and any relevant tools like Databricks and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
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 your background makes you a perfect fit for our team. Let us know what excites you about working on impactful projects.
Showcase Your Projects: If you've worked on any cool projects involving advanced analytics or machine learning, make sure to mention them! We love seeing real-world applications of your skills, especially if they relate to the technologies we use.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at LexisNexis Risk Solutions
✨Know Your Tech Stack
Make sure you’re well-versed in Python, OpenAI APIs, and AWS. Brush up on your knowledge of Databricks and SQL too. Being able to discuss specific projects where you've used these technologies will show that you’re not just familiar with them, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex data challenges in the past. Think of examples where you built advanced analytics or machine learning solutions. This will demonstrate your ability to think critically and innovate, which is key for a Data Scientist III role.
✨Understand the Business Impact
LexisNexis Risk Solutions is all about impactful projects. Be ready to explain how your work in data science has contributed to business outcomes. This could be through improving efficiency, driving revenue, or enhancing customer experience. Show them you understand the bigger picture!
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team’s current projects, challenges they face, or how they measure success. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.