At a Glance
- Tasks: Design and build advanced AI capabilities to enhance research workflows.
- Company: Join LexisNexis Risk Solutions, a leader in data-driven innovation.
- Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with cross-functional teams and exciting challenges.
- Why this job: Lead cutting-edge AI projects and make a real impact in the field.
- Qualifications: Strong background in applied AI, NLP, and data visualisation required.
The predicted salary is between 60000 - 80000 £ per year.
LexisNexis Risk Solutions is looking for a Senior Data Scientist I to design, build, and evaluate advanced AI capabilities powering research workflows. This role focuses on applied AI research, including prototyping intelligent workflows and integrating LLMs with scientific data.
You will lead the development of advanced AI capabilities and collaborate with cross-functional teams to enhance data-driven solutions. The ideal candidate will have a strong background in applied AI, NLP, and data visualization.
Senior Data Scientist - Applied AI & Retrieval employer: LexisNexis Risk Solutions
At LexisNexis Risk Solutions, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. As a Senior Data Scientist, you will have access to cutting-edge technology and resources, along with ample opportunities for professional growth and development in the rapidly evolving field of AI. Our commitment to employee well-being and a supportive environment makes us an exceptional employer for those seeking meaningful and impactful work.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Applied AI & Retrieval
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and data science fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving applied AI and NLP. This will give you an edge and demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key when collaborating with cross-functional teams.
✨Tip Number 4
Don’t forget to apply through our website! We often have exclusive listings that might not be found elsewhere. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Senior Data Scientist - Applied AI & Retrieval
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in applied AI, NLP, and data visualisation. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you the perfect fit for our team. Let us know what excites you about the role!
Showcase Your Projects:If you've worked on any cool AI projects or prototypes, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions that demonstrate your expertise.
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. Plus, it’s super easy!
How to prepare for a job interview at LexisNexis Risk Solutions
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of applied AI, especially in the context of research workflows. Be ready to discuss specific projects where you've designed or built AI capabilities, and how they impacted the workflow.
✨Showcase Your NLP Skills
Since this role involves natural language processing, prepare examples of how you've used NLP in past projects. Discuss any challenges you faced and how you overcame them, as well as the tools and techniques you employed.
✨Visualise Your Data
Data visualisation is key in this role, so be prepared to talk about how you've effectively communicated complex data insights in the past. Bring along examples of your work, if possible, to demonstrate your skills.
✨Collaboration is Key
This position requires working with cross-functional teams, so highlight your experience in collaborative environments. Share stories that showcase your ability to work with others, especially in developing data-driven solutions.
