Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist

The lead agency
Liverpool
6 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

The Role

At TLA, we’re proud to be consumer champions in the automotive space. We’re constantly exploring smarter ways to connect people with the right cars — and that’s where data science plays a key role. As part of the team, you’ll build predictive models that surface insights to improve everything from lead quality and conversion to forecasting. In the short term, you’ll likely focus on performance marketing, where there’s real opportunity to optimise and scale our efforts. You could also get involved in evolving some of our current projects — from refining lead scoring models to improving AI-powered chatbots and developing our bespoke name validation tech.

Why Join TLA?

TLA is a fast-moving, innovative digital business that partners with some of the biggest automotive brands—including the Volkswagen Group, BMW Group, and Ford. Founded over 20 years ago, and with long standing team members we’ve built a close-knit, ambitious team that’s passionate about pioneering technology to drive car sales.

We offer a supportive and collaborative environment, where you’ll have the opportunity to grow and make an impact. Our hybrid model (2 days per week in our fantastic Liverpool city centre office) enables in-office teamwork and collaboration. We’re a highly driven bunch that believes in respect, hard work, and giving back through charitable events and sporting efforts—everything from hiking to skydiving!

What you will be doing:

You’ll play a key role in optimising our marketing strategy by:

• Building and refining marketing mix models (MMM) to help optimise performance across channels and campaigns.

• Forecast delivery limits, costs, and revenue to support smarter planning and budget allocation.

• Develop predictive and statistical models that fuel marketing decisions and unlock growth opportunities.

• Work hands-on with Python to analyse data, develop solutions, and automate key processes.

• Leverage the Azure cloud platform to deploy and maintain models and pipelines.

• Collaborate with marketing, analytics, and engineering teams to turn data into actionable strategies.

What you’ll need to Succeed in the Role:

•Proven track record of applying data science solutions in either an industry or academic (e.g. PhD) setting.

•Solid grasp of core data science methodologies, including machine learning algorithms and statistical analysis.

•Skilled in developing machine learning workflows using Python.

•Passionate about working closely with non-technical teams and promoting a culture of scientific rigor.

•Experience contributing to data science initiatives alongside cross-functional teams, including software engineering professionals.

•Be located within a 1hr commute to Liverpool city centre.

Nice-To-Have Skills:

•Any experience in marketing data science i.e., marketing mixed modelling, demand forecasting etc.

•Experience with Microsoft Azure.

•Experience presenting back data to non-technical stakeholders in a simple and understandable way.

•Any experience with natural language processing (NLP).

Benefits

• Hybrid & flexible working – 2 days per week in the Liverpool office (Monday & Tuesday)

• Competitive salary

• Annual company-wide bonus scheme

• Up to £500 annual training budget

• Private health insurance

• Pension plan

• Cycle to work program

• Extensive activity package including charity focused sporting challenges and fun social events

Want to help shape the future of car buying? Then join TLA! We're looking for people who value teamwork, creativity, and always striving for better. Apply now to be part of our team!

PLEASE NOTE: This role is only open to those with the right to work in the UK without the need for sponsorship or visa, now or in the future. Additionally, candidates must be located within a reasonable commuting distance to our Liverpool city centre office.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.