Senior Data Scientist, Lead Forensics

Salary not provided

SQL

Python

Senior and Expert level

Remote from UK

More information about location

Lead generation software

Open for applications

Lead generation software

501-1000 employees

B2BMarketingLead generation

Open for applications

Salary not provided

SQL

Python

Senior and Expert level

Remote from UK

More information about location

501-1000 employees

B2BMarketingLead generation

Company mission

To help our customers grow their business and become even more successful.

Job

Company

Role

Who you are

We're seeking an experienced Senior Data Scientist (minimum 5 years experience) to join our expanding Data & AI team
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
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 related quantitative field
Substantial experience working with large-scale, event-driven datasets
Proven track record of deploying production ML solutions that create measurable business value
Experience in SaaS, AdTech, MarTech, Sales Intelligence, Consumer Analytics, or similar data-intensive fields
Excellent Python development skills
Deep understanding of statistics and machine learning theory
Experience with supervised, unsupervised, and probabilistic modelling
Advanced SQL skills and experience working with large datasets
Demonstrated ability to create data products, not just deliver analyses
Familiarity with modern cloud-native data platforms and scalable ML infrastructure
Understanding of MLOps practices, including model versioning, monitoring, and deployment workflows
Strong grasp of experimentation, hypothesis testing, and causal inference
Commercially focused and results-driven
Curious, creative, and motivated by solving complex problems
Comfortable switching between research, experimentation, and production delivery
Able to clearly communicate complex ideas to technical and non-technical stakeholders
Effective collaborator who enjoys working across Product, Engineering, and Data teams
Passionate about building impactful, customer-focused solutions

What the job involves

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
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
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
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
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
What Success Looks Like
Launching new predictive signals that directly enhance customer outcomes
Increasing the quality and reliability of behavioural insights on our platform
Establishing repeatable, robust processes for model evaluation and deployment
Building strong partnerships with Product and Engineering teams
Creating reusable data products leveraged by multiple services at Lead Forensics
Helping to shape the organisation’s AI-powered product capabilities
Build data products that drive how thousands of customers identify opportunities and understand buying intent
Own projects from research to production, making a visible business impact
Work closely with Product, Engineering, and Leadership to drive innovation across the platform
Collaborate with skilled software engineers to deliver robust, scalable ML solutions—not just isolated analytical models
Influence the shape of our data and AI strategy while remaining hands-on with the latest technologies
Usual working days for LF are 5 days a week, Monday- Friday

Our take

Bringing in web traffic is one thing, however, when 98% of website visitors leave without making an inquiry it’s vital for companies to find a way to turn those missed connections into genuine leads. Lead Forensics does just that, its software reveals the identity of those anonymous visitors in real time, thus turning them into actionable, sales-ready leads.

The company has won a wide range of awards, backing up its position as a true market leader. Some of its customers have even generation ROI of over 2,100% based on the leads generated by its software. Part of this success is due to the company’s ability to generate high intent leads, leading companies to clients that have a genuine interest in them.

As a recognised leader in the website visitor identification market, Lead Forensics’ strong past has set it up for an equally strong future.