Photos people at Lead ForensicsPhotos people at Lead ForensicsPhotos people at Lead ForensicsPhotos people at Lead ForensicsPhotos people at Lead ForensicsPhotos people at Lead ForensicsPhotos people at Lead ForensicsPhotos people at Lead Forensics
Lead Forensics on cord

Lead Forensics

Senior Data Scientist

Remote anywhere
Software Development
Lead Forensics is software for turbo-charged lead generation.
Active
5 hours ago
Responds to
N/A
Responds in
N/A
Requests
None yet. Be the first one!

Skills & Experience

Job roles: Data Scientist
Experience level: Senior
Core skills considered: Machine Learning, Data Analysis, Python, SQL

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Remote (no onsite)
Work from: Anywhere
Working Timezones: (UTC) London +/- 2 hours
Visa sponsorship: Not available

Job Description

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 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 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.

 
Technical Strength
  • 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.

 
Mindset & Working Style
  • 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 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.

 
Why Join Lead Forensics?
  • 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.

  • Enjoy a remote-first culture, with occasional collaborative sessions at our Portsmouth office.

What We Offer
  • Competitive salary, commensurate with experience and seniority

  • 25 days’ holiday, plus bank holidays, and your birthday off

  • Attractive office location near Portsmouth

  • Fantastic company culture, built on our "One Team" and "Growth" values

  • Opportunities to give back through volunteer days, fundraisers, and charity events

  • Regular company socials, team-building activities, and cross-functional events

  • Free on-site parking and gym

  • Two paid charity days per year

Company Benefits

  • An entrepreneurial environment built on ownership, accountability, autonomy and trust

  • Employment with a fast-growing UK SaaS company; initially remote working.

  • Competitive salary and benefits.

  • Be part of a fantastic company culture; we all display our Company DNA’s, foster a “One Team” and ‘Growth’ mentality.

  • Give back to the wider community with volunteer days, fundraisers and charity.

Interview Process

1)Teams Screen - 20-30 mins
2)Technical Interview - 60 mins
3) Meet our existing Data Scientist - 30 mins
4) Final interview with CTO - 60 mins

Nick on cord
Head of Recruitment
Active 5 hours ago
Nick on cord
Senior Data Scientist at Lead Forensics
Message Nick  ·  Position recently posted

Talk directly
to who's hiring

cord intros you to the companies worth joining, from seed to enterprise.

Everything you need to find work

Surface every relevant position, direct message the people hiring and manage all your applications in one place.

Get started

Every position in one place

We index the web for open positions that might be relevant to you and bring them all in one place.

Positions you might like split into tabs based on their type

Direct messaging

No more CV blackholes. Message people hiring directly and see their activity live on cord.

A sent message to a hiring manager
A board of positions in different stages

Application management

Manage all your applications and interviews in one place.

Advanced insights

Know your worth and see how you compare with other applicants.

Visualisation of a profile match score for a position and score comparison with other applicants

Direct.
Transparent.
Human.

On cord you can message people hiring directly, see when they were last active, how responsive they are and access transparent information that you wouldn't be able to find anywhere else.

Photos people at Starling BankPhotos people at Starling BankPhotos people at Starling BankPhotos people at Starling BankPhotos people at Starling Bank
Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
Alex Yeates on cord
Message Alex Yeates at Starling Bank
Typically responds in an hour

What people are saying

2,000+

users joining every week

Oliver on cord

Oliver

Software Engineering Consultant
It's really easy to use, has a solid selection of jobs, and makes it helpful to direct message companies. The platform seems to offer a good range of opportunities while keeping the process simple and convenient.
November, 2025
David on cord

David

Lead Software Engineer
The platform allows you to create a professional CV, making the setup process simple and polished. The internal chat also provides an easy way to directly contact hiring companies, which makes communication much more efficient.
November, 2025
40,000+

open positions

Nicolae on cord

Nicolae

Senior Full Stack Developer
It is a great platform if you are looking for a job. It makes the search process straight forward and gives you access to solid opportunities.
November, 2025
3 million+

messages exchanged so far

Nicolae on cord

Nicolae

Senior Full Stack Developer
It is a great platform if you are looking for a job. It makes the search process straight forward and gives you access to solid opportunities.
November, 2025
79.05%

response rate from companies

Aarambha on cord

Aarambha

Associate Software Engineer
Absolutely amazing idea, the ability to see which recruiters are active makes finding opportunities very quick. There is a form of transparency built into the website that lacks in any other job searching platform.
August, 2025
Adam on cord

Adam

Senior Engineer
cord was great. Clean UI, easy to browse, and the data feature made it a breeze to quickly check whether my profile would match up well with a particular role. The messaging system made it easy to approach companies but also filter out unwanted requests.
August, 2025
4.6

score on Trustpilot

Talk directly to the people that matter

Join the hundred of thousands of people using cord to find work

Get started
 on cord
 on cord
 on cord
 on cord
 on cord
+418 joined last week
Moved to your Not right positions