At a Glance
- Tasks: Use machine learning and AI to tackle scientific challenges and enhance knowledge discovery.
- Company: Join LexisNexis Risk Solutions, a leader in innovative data solutions.
- Benefits: Enjoy flexible work hours, competitive salary, and a supportive work-life balance.
- Other info: Collaborate with diverse teams in a dynamic and innovative environment.
- Why this job: Make a real impact in science while working with cutting-edge technology.
- Qualifications: Experience in data science, strong Python skills, and familiarity with LLMs required.
The predicted salary is between 60000 - 80000 £ per year.
LexisNexis Risk Solutions in Greater London seeks an experienced Data Scientist II. You will leverage machine learning, NLP, and generative AI to solve scientific challenges and enhance knowledge discovery. The role includes collaboration with cross-functional teams and involves extensive work with complex scientific data. Familiarity with LLMs and strong Python skills are essential. Additionally, we support a flexible work environment to promote work-life balance.
Data Scientist II: AI for Science & Knowledge Discovery employer: LexisNexis Risk Solutions
At LexisNexis Risk Solutions, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our Data Scientists to tackle complex scientific challenges. Our Greater London location offers a flexible work environment that prioritises work-life balance, alongside ample opportunities for professional growth and development in cutting-edge technologies like machine learning and generative AI.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist II: AI for Science & Knowledge Discovery
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field, especially those working with machine learning and NLP. Join relevant online communities or attend meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects involving generative AI and complex scientific data. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and familiarising yourself with LLMs. Practice coding challenges and be ready to explain your thought process clearly, as collaboration is key in cross-functional teams.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at LexisNexis Risk Solutions. Tailor your application to highlight how your experience aligns with our mission in AI for science and knowledge discovery.
We think you need these skills to ace Data Scientist II: AI for Science & Knowledge Discovery
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning, NLP, and generative AI. We want to see how your skills align with the scientific challenges we tackle at LexisNexis.
Showcase Your Projects:Include specific examples of projects where you've used Python and worked with complex scientific data. This helps us understand your hands-on experience and problem-solving abilities.
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication that gets to the heart of why you’re a great 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 don’t miss any important updates from our team.
How to prepare for a job interview at LexisNexis Risk Solutions
✨Know Your Tech
Make sure you brush up on your machine learning, NLP, and generative AI knowledge. Be ready to discuss specific projects where you've applied these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Python Skills
Since strong Python skills are essential for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and algorithms beforehand.
✨Collaboration is Key
This role involves working with cross-functional teams, so be prepared to talk about your experience collaborating with others. Share examples of how you’ve successfully worked in a team setting, especially when dealing with complex scientific data.
✨Embrace Flexibility
With a flexible work environment being a part of the company culture, think about how you manage your work-life balance. Be ready to discuss how you stay productive while working remotely or in a hybrid setup, as this shows you’re a good fit for their values.
