AgileGrid Solutions
Data Scientist III

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About The Company
LexisNexis is a global leader in providing innovative legal, regulatory, and business information solutions. With a rich history of delivering trusted data and advanced analytics, LexisNexis empowers professionals across various industries to make informed decisions, streamline workflows, and stay ahead in a rapidly evolving landscape. The company's commitment to innovation is reflected in its integration of cutting-edge technologies such as artificial intelligence, machine learning, and big data analytics, which enhance the value and accessibility of its vast information repositories. LexisNexis fosters a culture of collaboration, integrity, and excellence, dedicated to supporting the needs of legal professionals, corporations, government agencies, and academic institutions worldwide.
About The Role
We are seeking a highly skilled Data Scientist III to join our team at LexisNexis Intellectual Property Solutions (LNIP). In this role, you will play a pivotal part in the development and validation of AI-driven features within our flagship product, Protégé in PatentSight. Your primary responsibility will be to leverage advanced machine learning, natural language processing (NLP), and large language models (LLMs) to enhance our patent analysis workflows. This involves designing innovative algorithms, experimenting with new approaches, and translating complex data insights into scalable, user-friendly solutions that address real-world intellectual property challenges. You will collaborate closely with cross-functional teams, including engineers, product managers, and subject matter experts, to ensure that our AI capabilities align with user needs and business objectives.
Qualifications
- Degree in a quantitative or technical discipline such as Statistics, Computer Science, Mathematics, or Data Science.
- Proven experience in machine learning, NLP, and LLM-based modeling techniques.
- Strong track record of designing and executing experiments, including model evaluation and iterative improvement.
- Proficiency in Python programming and related data analysis libraries.
- Hands-on experience with generative AI techniques, including prompt engineering and Retrieval-Augmented Generation (RAG).
- Experience in developing hybrid search strategies combining semantic and lexical approaches using embeddings and vector databases.
- Familiarity with agent frameworks such as Google ADK, LangChain, LangGraph, or AutoGen, and applying them to real-world use cases.
- Excellent analytical skills with a solid foundation in statistics, modeling, and large-scale text processing.
- Ability to communicate complex technical concepts effectively to non-technical stakeholders.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Responsibilities
- Develop and implement NLP, LLM, and generative AI approaches to enhance patent analysis workflows and decision-making processes.
- Design agentic workflows and reasoning strategies for complex multi-step intellectual property tasks, ensuring they are efficient and scalable.
- Create and optimize retrieval strategies, including hybrid search methods, and establish evaluation metrics to measure relevance and ranking quality.
- Analyze large-scale patent datasets to extract actionable insights and continuously improve model performance through experimentation.
- Establish best practices for model validation, benchmarking, and performance evaluation to maintain high standards of quality and reliability.
- Translate experimental results into clear, impactful product recommendations that drive business value and user satisfaction.
- Work collaboratively with product teams, IP experts, and engineers to ensure AI solutions meet user needs and integrate seamlessly into existing workflows.


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Benefits
- Flexible working hours to support work-life balance and productivity.
- Generous holiday allowance with options to purchase additional days.
- Comprehensive health benefits including health screening, eye care vouchers, and private medical insurance.
- Wellbeing programs designed to support mental and physical health.
- Life assurance and access to a competitive contributory pension scheme.
- Share options through the Save As You Earn scheme, encouraging long-term investment in the company.
- Travel season ticket loans and Electric Vehicle schemes to promote sustainable commuting.
- Optional dental insurance, parental leave, and Employee Assistance Programmes.
- Support for family needs including emergency care for children and elderly dependents.
- RECARES days dedicated to volunteering and supporting charitable causes.
- Access to extensive learning and development resources to foster career growth.
- Employee discounts via Perks at Work and other exclusive benefits.
Equal Opportunity
LexisNexis is an equal opportunity employer committed to fostering an inclusive environment where all employees and applicants are treated with fairness and respect. We consider qualified applicants without regard to race, color, creed, religion, sex, national origin, citizenship status, disability, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We value diversity and are dedicated to providing a workplace that reflects the communities we serve. If you require accommodations during the application process, please contact us, and we will make every effort to support your needs.
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