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Ellipse

Data Scientist - CricViz

London SE11 5DP, UK
SportTech
Help all stakeholders in sports from coaches to fans using data to explain what is happening and what might happen next during any sporting event.
Active
12 hours ago
Responds to
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Skills & Experience

Job roles: Data Scientist
Experience level: Junior, Mid
Tech stack/tooling used: Python, SQL, Machine Learning, Pandas, Scikit
Core skills considered: Python, SQL, Machine Learning, Pandas, Scikit

Logistics

Base salary: £30K - £35K
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

We are seeking a highly skilled Data Scientist to join the CricViz team. This pivotal role focuses on the end-to-end development of proprietary metrics and predictive models derived from the world’s most sophisticated cricket databases.

You will be part of the transformation of complex, high-frequency tracking data into market-leading, commercial-grade analytical products. Your work will empower sophisticated professional clients by surfacing match state insights and player performance indicators not captured by conventional analysis.

The ideal candidate will combine strong data science and quantitative modelling skills with deep cricketing knowledge and an ability to reason about the game in detail. We value cricket understanding highly: the ability to identify meaningful questions, interpret match states and understand what drives player and team performance is fundamental to developing useful analytical products.

Responsibilities

  • Cricket & Betting Applications: Develop analytical products and predictive models that may be used across the cricket, media, fantasy, gaming and sports betting sectors. Candidates should be comfortable working in a professional environment where betting-related applications of data and modelling are part of the commercial landscape.

  • Metric Innovation: Research and develop new, high-value derived metrics from raw ball and player tracking data, such as pitch behavioural characteristics and advanced fielding analysis.

  • Bespoke Client Collaboration: Act as the lead technical point of contact for private clients, working to develop custom predictive models and niche datasets tailored to their specific analytical requirements.

  • Productisation of Data:Translate raw tracking data into productionised Data Science models that provide a clear commercial advantage.

  • Model Assurance & Validation: Oversee rigorous back testing and optimisation cycles to ensure all models maintain the high level of accuracy and reliability required for professional-grade execution.

  • Cross Functional Integration: Work closely with Engineering and Product teams to ensure seamless delivery of these complex feeds into client workflows, while maintaining the integrity of our internal IP.


Requirements
  • Domain Knowledge: A strong understanding of cricket and the factors influencing match state outcomes (win probability, expected metrics like xR/xW)

  • Technical Grounding: Degree in Mathematics, Data Science, Computer Science, or a related quantitative field with a strong grounding in machine learning and statistics.

  • Practical Experience: Proven track record (2+ years) of applying data science methods as part of end-to-end pipelines (feature engineering, model training, deployment, validation) to solve complex real-world problems in a professional environment.

  • Programming Fluency: Strong programming skills in Python and SQL plus specific proficiency with the PyData stack (pandas, numpy, scikit-learn, XGBoost, LightGBM)


Nice-to-haves
  • Tracking Data Experience: Prior experience working with high-frequency tracking or GPS data to create aggregated, value-add insights.

Company Benefits

  • 25 days holiday.
  • Flexible working hours.
  • Option to work remotely or from our new offices at Edinburgh House, Kennington, London.
  • Company pension scheme.
  • Company life assurance.

Interview Process

1. Screening call - 15 minutes
2.Take home assignment
3. Technical Interview - 45 minutes
4. Onsite technical Interview - 1 hour

Message prompt from Katerina Stasinou

K
It would be great to hear what interests you about working with cricket and how have you engaged with it so far (e.g., as a fan, player, student project, or hobby)?
K
Recruitment Administrator
Active 12 hours ago
Data Scientist - CricViz at Ellipse
Message Katerina Stasinou  ·  Position recently posted

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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
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