Senior Data Scientist - NLP & AI for IP Insights

Senior Data Scientist - NLP & AI for IP Insights

Full-Time 60750 - 74250 £ / year (est.) Remote
LexisNexis IP

At a Glance

  • Tasks: Drive NLP and AI product capabilities, shape solutions, and run experiments.
  • Company: LexisNexis Intellectual Property Solutions, a leader in innovative tech.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic role with potential for significant career advancement.
  • Why this job: Join a cutting-edge team and make an impact in the world of IP insights.
  • Qualifications: Expertise in ML/NLP, strong Python skills, and experience with generative AI.

The predicted salary is between 60750 - 74250 £ per year.

Lexis Nexis Intellectual Property Solutions (LNIP) in the United Kingdom seeks a Senior Data Scientist I to drive NLP/LLM-based product capabilities within Protégé for Patent Sight.

You will shape what to build, run experiments, and translate results into scalable, customer-facing solutions with engineers and IP experts.

Ideal candidates combine ML/NLP excellence, strong Python skills, and hands-on experience with generative AI, RAG, and hybrid search using embeddings.

Senior Data Scientist - NLP & AI for IP Insights employer: LexisNexis IP

At LexisNexis Intellectual Property Solutions, we pride ourselves on fostering a culture of innovation and collaboration, making us an exceptional employer for an AI Architect. Our commitment to employee well-being is reflected in our generous benefits package, flexible working hours, and extensive learning opportunities, all designed to support your professional growth and work-life balance. Join us in a vibrant environment where your contributions directly impact the future of patent intelligence and innovation.

LexisNexis IP

Contact Details:

LexisNexis IP Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Scientist - NLP & AI for IP Insights

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We think you need these skills to ace Senior Data Scientist - NLP & AI for IP Insights

Natural Language Processing (NLP)
Machine Learning (ML)
Python
Generative AI
Retrieval-Augmented Generation (RAG)
Hybrid Search
Embeddings

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at LexisNexis IP, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at LexisNexis IP. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at LexisNexis IP

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

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✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.