Data Scientist

G.Digital
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - New

2 X Data Scientist | £50-75k + Bonus | Sports tech | Hybrid in London


I'm working on with one of our key partners, a global SportTech business on 2 exciting vacancies in the Data Science space!


As a business they provide data and analytical and AI services within: NFL, Football, Tennis and Cricket to name a few


This business has:


♀️ G.Digital stamp of approval

Global Prescence and backed by a giant in this sector

Recognised as a leader in the space

Award winning wellbeing model and mental health workplace support


Joining as a Data Scientist you'll...


Deliver on the aims related to a wider Data Strategy

Enhance your skills and be part of a function using your expertise in Python, Spark and AWS (Kinesis, Apache Airflow)

Create Pipelines for model evaluations including interactive dashboards, tables, and plots to display insights and projections to non-technical project stakeholders

Focus primarily on one specific sporting event series e.g NBA or NFL to deliver low latency in play pricing solutions, create trading tools, automating in play suspensions and settlement


What they have to offer you:


12% Annual bonus

Private Healthcare

Hybrid working in London

6% Company pension

Flexi time (35 hour work week)

Season ticket to a sporting team of your choice

HUGE progression opportunity for anyone joining the team right now


Interview process


  1. The first stage consists of a technical task issued to you to complete in your own time comprising of a business problem and some additional data
  2. The second stage would be a technical / competency based interview with 2 Senior Data Scientists and is aimed at assessing your approach to the task in a talk through style vs a formal Q&A. They would run through your motivations, previous projects and the technologies you've worked with in the past


Interviews commence over the next 2 weeks so if you would like to be considered apply directly


UK Based applicants only and no visa sponsorship provided


2 X Data Scientist | £50-75k + Bonus | Sports tech | Hybrid in London

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.

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.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.