Data Scientist - LLM & Production ML for Legal Tech

Data Scientist - LLM & Production ML for Legal Tech

Full-Time 60750 - 74250 Β£ / year (est.) No working from home possible
B

At a Glance

  • Tasks: Design and build AI features for legal professionals using real-world data.
  • Company: Join BigHand, a leader in legal tech innovation.
  • Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
  • Other info: Collaborative and agile environment with a focus on innovation.
  • Why this job: Make a difference in the legal field with cutting-edge AI technology.
  • Qualifications: Experience in data science and strong communication skills.

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

Big Hand is seeking a Data Scientist to design, build and ship AI-powered features for legal professionals.

You will deploy models in production, work with LLMs, and collaborate with engineering in an agile setting.

You will transform real-world legal data into reliable product capabilities, explain analytics to non-technical stakeholders, and contribute to evolving technical requirements and best practices.

#J-18808-Ljbffr

Data Scientist - LLM & Production ML for Legal Tech employer: BigHand

BigHand is an exceptional employer that prioritises a collaborative and innovative work culture, where values such as teamwork, continuous learning, and integrity are at the forefront. With a strong commitment to employee wellbeing, we offer generous benefits including 25 days of holiday, wellness programmes, and career growth opportunities, all within a flexible working environment. Our global presence and focus on meaningful contributions empower our BigHanders to thrive both personally and professionally in the dynamic legal technology sector.

B

Contact Details:

BigHand Recruitment Team

We think you need these skills to ace Data Scientist - LLM & Production ML for Legal Tech

Data Science
Machine Learning
LLMs (Large Language Models)
Model Deployment
Agile Methodologies
Data Transformation
Analytics Communication