Senior Data Scientist

SENIOR DATA SCIENTIST SUMMARY Lead Forensics is at the forefront of building the next generation of B2B buyer intelligence. By integrating behavioural, engagement, firmographic, and intent signals, we empower our customers to identify in-market opportunities, understand prospect behaviour, and make better commercial decisions. Our platform processes vast amounts of data, leveraging advanced analytics, machine learning, and AI to transform fragmented signals into actionable and trusted intelligence.   We're seeking an experienced Senior Data Scientist (minimum 5 years experience) to join our expanding Data & AI team. In this pivotal role, you will develop innovative data products, predictive models, and intelligent signals to help our customers discover opportunities, recognise buying intent, and act faster than their competitors.   The ideal candidate will combine robust data science expertise with strong product instincts. You are comfortable working with large-scale time-series and event-stream data, uncovering valuable signals from noise, and delivering production-ready solutions that can be embedded across our SaaS platforms.   This role suits a hands-on, senior individual contributor who thrives on moving from experimentation to real-world impact, turning data-driven concepts into measurable business results.   KEY RESPONSIBILITIES DATA SCIENCE & MACHINE LEARNING - Develop predictive models that identify patterns, opportunities, risks, and trends from large volumes of visitor activity data. - Design and implement machine learning techniques that transform noisy behavioural data into commercially valuable insights. - Build time-series models to detect trends, anomalies, seasonality, intent signals, and shifts in customer behaviour. - Create ranking, scoring, recommendation, and propensity models for customer engagement and sales intelligence. - Apply statistical methods to assess signal quality, confidence, uncertainty, and the reliability of models. - Continually evaluate and enhance model performance using real-world data.   DATA PRODUCTS & PLATFORM INTEGRATION - Design models and analytics as reusable data products, not just one-off analyses. - Collaborate with software engineers to productionise models via APIs, services, event streams, and platform integration. - Develop data contracts and interfaces for seamless consumption of machine learning outputs by engineering teams. - Work with Product Managers to define and prioritise data-driven features. - Ensure models are observable, reproducible, monitorable, and maintainable, with robust performance tracking and continuous improvement.   AI & ADVANCED ANALYTICS - Investigate cutting-edge AI techniques, including agentic workflows, to drive improved customer outcomes and productivity. - Identify where large language models (LLMs) and structured behavioural signals can be combined to add value. - Create robust evaluation frameworks and guardrails for AI-powered solutions. - Drive a spirit of experimentation while focusing on tangible, measurable business outcomes.   DATA STRATEGY & LEADERSHIP - Influence Lead Forensics’ approach to data science, experimentation, and machine learning. - Champion evidence-based decision making within Product and Engineering. - Help establish best practices for model lifecycle management, feature engineering, experimentation, and reproducibility. - Contribute to the long-term vision for the company’s data and AI capabilities.   ABOUT YOU EXPERIENCE & BACKGROUND - 5+ years of experience in Data Science, Machine Learning, Applied AI, or a similar discipline. - Strong academic background in Mathematics, Statistics, Computer Science, Data Science, Physics, Engineering, or a relate