Manager Data Science

About the role

The Manager Data Science will lead large‑language‑model (LLM) training projects, oversee high‑quality dataset preparation, and mentor a team of data scientists. This position is part of LexisNexis Legal & Professional, a global provider of legal and business information.

Key responsibilities

• Lead design and execution of LLM training and fine‑tuning projects, including model selection, training strategy, experimentation, and evaluation.
• Oversee preparation of high‑quality training datasets: collection, cleaning, deduplication, annotation, and quality validation.
• Develop and optimise supervised fine‑tuning and parameter‑efficient fine‑tuning workflows, applying preference optimisation where appropriate.
• Establish evaluation frameworks to assess factual accuracy, instruction following, domain relevance, safety and performance on business‑specific tasks.
• Diagnose training issues, improve model quality, training stability, GPU utilisation and computational efficiency.
• Manage and mentor data scientists, review technical work and enforce reproducible development practices.
• Partner with product, engineering and domain experts to define requirements and support model deployment and monitoring.
• Manage project priorities, timelines, compute resources and communicate results and trade‑offs to stakeholders.

Required skills

• Strong Python programming.
• Proficiency with PyTorch and Hugging Face Transformers/Datasets.
• Experience with supervised fine‑tuning, LoRA or QLoRA parameter‑efficient methods.
• Knowledge of distributed training frameworks such as PyTorch FSDP or DeepSpeed, including mixed precision, gradient accumulation and checkpointing.
• Ability to build and manage instruction‑response datasets, apply chat templates and prevent data leakage.
• Experience with experiment tracking, dataset and model versioning, checkpoint management and reproducible pipelines.

What we offer

• Flexible working hours to fit personal productivity patterns.
• Health and wellbeing initiatives, shared parental leave, study assistance and sabbaticals.
• Competitive base salary range $115,400‑$192,300 plus annual incentive bonus.
• Inclusive and accessible hiring process with accommodations available.