Data Scientist - LLM

Ignite Digital; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Benefits offered by this job

Private medical insurance

Generous pension contribution

Access to skills academy

Hybrid working approach

Diversity networks and social events

Job summary

A leading technology firm in the UK is looking for a passionate data scientist to drive innovation in legal technology. Ideal candidates will have a master's or Ph.D., expertise in Natural Language Processing, and experience with LLMs. The role involves delivering client-facing projects, ensuring data quality, and sharing knowledge within an agile team. Comprehensive benefits include private medical insurance, a skills academy, and a hybrid working model. Join us to be part of a diverse, inclusive culture that fosters innovation.

Qualifications

• Masters or Ph.D. in a related field.
• Expertise in Natural Language Processing.
• Experience with LLMs in data science projects.
• Proficient in Python or R.
• Understanding of generative AI technologies.
• Experience with machine learning applications.

Responsibilities

• Own and deliver challenging client-facing projects.
• Create useful data sets from multiple sources.
• Analyze and ensure data quality.
• Act as subject matter expert in NLP and data engineering.
• Support the team in securing new business opportunities.
• Mentor and develop team members.

Skills

Natural Language Processing

Data manipulation (Python, R)

Machine learning

Data engineering

Education

Masters or Ph.D. in Computer Science or Data Science

Tools

Amazon Web Services

Microsoft Azure

Google Cloud Platform

Hugging Face Transformers

Job description

Are you a data scientist with a love of LLMs, generative AI and Natural Language Processing?

We are looking for a passionate data scientist to drive the legal technology revolution.

The role.

As a data scientist working as part of a scaling, agile and multi-functional and expert team, you will use your strengths and interest in the real-life application of LLMs, generative AI and Natural Language Processing (NLP) to unlock new value, efficiencies, and insights within a leading legal tech organisation.

Your work will drive transformative internal and external solutions for our client and will be integral in delivering the new approaches required to meet the challenges faced within the evolving legal sector.

This data scientist job will be varied and interesting -no two days the same.

You will

• Hit the ground running! Youll own and deliver on challenging, client‑facing projects and be actively involved in growing this work from day one.
• Contribute to processing pipelines that turn legal documents into data. Youll create useful data sets by combining data from several sources. You will subject these data sets to rigorous analysis and identify and address challenges around data quality.
• Use your passion and enthusiasm for LLM to help to develop and apply this technology to meet business needs.
• Be a subject matter expert on data engineering, natural language processing and machine learning, both in client meetings and internal discussions.
• Employ technical expertise to support the team in identifying and securing new business opportunities.
• Actively share your skills and expertise to contribute to the professional development of the wider team.

About you.

We are looking to for a data scientist with these technical skills.

• has a masters or Ph.D. in related field such as Computer Science or Data Science
• has specific natural language processing expertise, and some experience of using and manipulating LLM in data science projects.
• can work confidently with at least one common language used for manipulating data (e.g., Python, R) and familiar with LLM libraries (e.g., langchain)
• has some understanding of generative AI technologies in terms of training and fine‑tuning language models and regarding good Prompt Engineering
• has used machine learning to solve real problems for clients or stakeholders.

It would be great but not essential if you had

• experience of working in an agile team
• worked with Amazon Web Services, Microsoft Azure, or Google Cloud Platform
• a working knowledge of Git and version control principles
• knowledge of popular deep learning frameworks - Hugging Face Transformers library, for example.
• experience of building LLM applications
• experience of working with legal or other business professionals
• confidence when speaking, able to share your knowledge and skills with colleagues and perhaps even larger audiences.

On a personal level, our data scientist will need to show a solution focussed and logical approach to technical challenges. someone who can define an approach from gathered requirements, and then go on to articulate and execute the vision.

Youll need an independent, pro‑active, and confident approach to managing project‑based work and be comfortable to navigate competing priorities, resolve ambiguity and manage demanding expectations under pressure.

This data scientist job will require excellent stakeholder management skills and youll need the ability to communicate tricky concepts to both technical and non‑technical stakeholders.

Our client prizes diversity and has a culture that thrives on creating a positive impact. This means youll be driven to be part of a diverse and inclusive team; so, youll need great interpersonal skills and have the ability to relate to individuals at all levels.

The benefits.

On top of a culture that champions diversity of thought, autonomy, and innovation our client offers a comprehensive benefits and bonus package. You can expect.

• Private medical insurance and generous pension contribution.
• Access to an excellent skills academy (including live workshops, podcasts, short videos, and practical learning experiences).
• A hybrid working approach with a requirement for a minimum of three days in the office with some flexibility. (London, Cambridge or Bristol)
• Our client boasts a spot as a top 30 Employer for Working Families and a top 25 Employer for Social Mobility.
• A range of social and sports committees, parties and monthly get togethers.
• A range of diversity networks to connect people that celebrate our differences. A feature that is integral to the inclusive culture on offer.