Data Scientist (consumer app)

Russell Tobin
Leeds
4 days ago
Create job alert

Data Scientist – Authentication & Identity (Consumer Tech)

Contract: 12 months with potential extension

Location: Remote (UK)

Working hours: 9:00 am – 6:00 pm


About the Role

  • We are hiring a Data Scientist to join a high-impact Authentication Services team within a global consumer technology organization operating at massive scale.
  • This role sits at the heart of mobile identity and account access, supporting products used by millions of people worldwide.
  • You will work on modernizing authentication and login experiences across multiple consumer applications, helping drive growth through high-quality user experience, experimentation, and data-driven decision making.


This is a collaborative role, working closely with engineers, product managers, and cross-functional partners in a fast-paced environment.


What You’ll Be Doing

  • Conduct experiment and A/B test analysis to measure the impact of authentication methods
  • Perform root cause analysis on drop-offs and issues within authentication funnels
  • Deliver funnel analysis across registration, login, and account recovery flows
  • Lead opportunity sizing to identify areas for optimization and expansion
  • Build and maintain dashboards and reporting to track performance of authentication levers
  • Own analytics for a defined set of features and support delivery against the product roadmap


Required Skills & Experience

  • Strong SQL skills (non-negotiable)
  • Hands-on experience with A/B testing and experimentation platforms
  • Experience analyzing large-scale datasets and complex consumer funnels
  • Ability to clearly communicate insights and recommendations to stakeholders
  • Proven background in growth or product analytics
  • Python or R experience preferred


Experience level: 4–7 years


Background: Consumer tech / consumer apps strongly preferred


What Makes This Role Compelling

  • Work across multiple consumer apps within a single ecosystem
  • Solve real-world problems at global scale
  • High visibility work influencing products used by millions of users
  • Opportunity to shape critical identity and authentication experiences

Related Jobs

View all jobs

Data Scientist

Data Scientist - Imaging - Remote - Outside IR35

Data Scientist - Measurement Specialist

Data Scientist (Predictive Modelling) – NHS

Data Scientist

Data Scientist

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.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.