At a Glance
- Tasks: Design and build advanced AI capabilities for innovative research workflows.
- Company: Join LexisNexis Risk Solutions, a leader in data-driven solutions.
- Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with cross-functional teams and exciting career advancement.
- Why this job: Lead cutting-edge AI projects and make a significant 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 in London 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 in London
✨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 during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI concepts. Practice common data science problems and be ready to discuss your thought process during problem-solving.
✨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 your genuine interest in joining our team at StudySmarter.
We think you need these skills to ace Senior Data Scientist - Applied AI & Retrieval in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in applied AI, NLP, and data visualisation. We want to see how your background aligns with the role, so don’t hold back on showcasing your best projects!
Tailor Your Application:Customise your CV and cover letter to reflect the specific requirements of the Senior Data Scientist position. Use keywords from the job description to demonstrate that you understand what we’re looking for.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant to the role. Make it easy for us to see why you’re a great fit!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details 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 the role focuses on 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 this will demonstrate your problem-solving skills.
✨Visualise Your Data
Data visualisation is key in this role, so be prepared to talk about the tools and techniques you’ve used to present data effectively. Bring along examples of your work to showcase your ability to turn complex data into understandable insights.
✨Collaboration is Key
This position involves working with cross-functional teams, so highlight your experience in collaborative projects. Be ready to discuss how you communicate complex ideas to non-technical stakeholders and how you ensure everyone is on the same page.
