Senior Manager, Data Science – Gen AI, Content Systems

🔥 0 minutes ago

🌽 Illinois, New York, +3 more states – Remote

🌽 Illinois – Remote 🗽 New York – Remote 🌲 North Carolina – Remote ❄️ Minnesota – Remote ☕ Washington – Remote

💵 $118.3k - $219.8k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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RELX

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

RELX is a global provider of information-based analytics and decision tools for professional and business customers. The company focuses on enabling its clients to make better decisions, improve results, and enhance productivity by leveraging advanced technology and data. RELX serves various sectors, including Risk, Scientific, Technical & Medical, Legal, and Exhibitions, by offering specialized information and analytical tools that facilitate critical decision-making. The company is committed to corporate responsibility and delivering societal benefit through its products by contributing to scientific advancement, legal justice, and effective market transactions.

📋 Description

• Set the vision and strategic priorities for Data Science across the content ecosystem • Lead and develop a team of data scientists and ML engineers • Drive applied research from rapid prototyping through production deployment • Build and scale offline evaluation frameworks, automated benchmarking pipelines, and human-in-the-loop feedback systems • Collaborate across Data Science teams to maximize reuse of components and patterns • Coordinate across cross-functional teams, systems, and domains • Define and execute the AI roadmap across the content lifecycle • Design and deploy production-grade AI systems, including LLM document understanding, agentic workflows, RAG pipelines, and hybrid ML/rules-based systems • Actively write code, build and demo prototypes, and contribute to experiments and production models • Establish best practices for model development, evaluation, monitoring, prompt engineering, data preparation, feature engineering, and reusable platform capabilities • Partner with engineering, architecture, and product leaders to integrate AI into distributed systems and ensure performance, scalability, and reliability • Translate ambiguous problems into project plans and lead teams through delivery • Present tradeoffs, alternative approaches, and options under delivery constraints • Mentor and grow a multidisciplinary team of LLM-focused Data Scientists and ML Engineers • Drive collaboration with Legal SMEs, Data Engineers, Product Managers, and Design • Establish evaluation, observability, and responsible generative AI practices • Oversee infrastructure for continuous delivery and production monitoring of LLM systems

🎯 Requirements

• Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, or related field strongly preferred, or equivalent practical experience • Bachelor’s degree in a relevant field with significant applied experience in data science, machine learning, or AI • 8+ years of relevant experience in data science, machine learning, or applied AI • 4+ years of leadership experience, including direct or indirect team management • Demonstrated technical depth, impact, and leadership • Ability to select appropriate tools and technologies for business problems • Proficiency with Python • Proficiency with ML and LLM tooling such as Google ADK, LangChain, TensorFlow, PyTorch, and prompt tuning techniques • Familiarity with vector databases, knowledge graphs, and hybrid retrieval architecture • Strong experience working with structured and unstructured data at scale • Ability to design and implement data pipelines and preparation workflows • Experience integrating ML into complex, multi-stage processing systems • Working knowledge of containerization, CI/CD, RESTful API design, and model serving tools • Cloud infrastructure experience on AWS, Azure, or GCP • Familiarity with AI coding tools such as GitHub Copilot, Claude Code, or OpenAI Codex • 8+ years of post-degree experience, including 4+ years in a data science or applied AI leadership role focused on NLP/LLM systems • Prior legal tech, legal AI, or document-intensive domain experience is highly desirable • Familiarity with ethical and legal considerations for deploying generative AI in professional settings

🏖️ Benefits

• Annual incentive bonus • Flexible working hours • Wellbeing initiatives • Shared parental leave • Study assistance • Sabbaticals • Comprehensive medical, dental and vision benefits • 401(k) with match • Employee Share Purchase Plan • Wellness platform with incentives • Headspace app subscription • Employee Assistance and Time-off Programs • Short-and-Long Term Disability insurance • Life and Accidental Death Insurance • Critical Illness insurance • Hospital Indemnity • Family benefits, including bonding and family care leaves, adoption, and surrogacy benefits • Health Savings, Health Care, Dependent Care and Commuter Spending Accounts • Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice