At a Glance
- Tasks: Develop and deploy AI and machine learning solutions that drive business impact.
- Company: Join LexisNexis, a leader in data science and AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic environment with diverse challenges and excellent career advancement.
- Why this job: Make a real difference by working on cutting-edge GenAI applications.
- Qualifications: Strong Python skills and experience with GenAI and ML.
The predicted salary is between 60000 - 80000 € per year.
LexisNexis is looking for a Data Scientist III to join their Data Science & AI team in Greater London. This role focuses on developing and deploying AI and machine learning solutions that impact key business functions like Product, Sales, and Marketing.
The ideal candidate will have strong Python skills and experience with GenAI, traditional ML, and data engineering.
Responsibilities include:
- Building GenAI applications
- Integrating models with enterprise platforms
- Optimizing ML pipelines
The candidate should thrive in a dynamic environment where diverse challenges await.
GenAI & ML Data Scientist III - Full Lifecycle Impact in London employer: LexisNexis
At LexisNexis, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the heart of Greater London. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work on cutting-edge AI and machine learning projects that drive real business impact. Join us to be part of a dynamic team where your contributions are valued and rewarded, making a meaningful difference in the world of data science.
StudySmarter Expert Advice🤫
We think this is how you could land GenAI & ML Data Scientist III - Full Lifecycle Impact in London
✨Tip Number 1
Network like a pro! Reach out to folks in the Data Science & AI field on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your GenAI and ML projects. This is your chance to demonstrate what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and ML knowledge. Practice common interview questions and be ready to discuss how you've tackled real-world problems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team.
We think you need these skills to ace GenAI & ML Data Scientist III - Full Lifecycle Impact in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your Python skills and any experience you have with GenAI and traditional ML. We want to see how your expertise can contribute to our team!
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific responsibilities mentioned in the job description. It shows us you’re genuinely interested.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
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’re considered for the role without any hiccups!
How to prepare for a job interview at LexisNexis
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with GenAI and traditional ML. Be prepared to explain how you've built and deployed AI solutions in the past, as this will show your technical prowess.
✨Showcase Your Problem-Solving Skills
LexisNexis is looking for someone who thrives in a dynamic environment. Prepare examples of how you've tackled diverse challenges in previous roles, especially those related to data engineering and optimising ML pipelines.
✨Understand the Business Impact
Since the role impacts key business functions like Product, Sales, and Marketing, think about how your work as a Data Scientist can drive value in these areas. Be ready to discuss how your AI and ML solutions can solve real business problems.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team’s current projects, the technologies they use, and how they measure success. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
