Oritain on cord

Oritain

Lead Statistical Data Scientist

External position
London, UK
Hiring internally for Oritain?
Research · Sustainability
Forensic science verification of origin providing traceability in supply chains.
Posted
2 weeks ago
Checked
cord regularly checks that external positions are still open
2 days ago

Skills & Experience

Job roles: Data Scientist
Experience level: Lead
Core skills considered: Machine Learning, Data Analysis, Data Modeling, Python, R
Other skills considered: Git, Cloud Computing, Data Pipelines, Data Visualisation

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: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

As the Lead Statistical Data Scientist, you'll provide technical leadership for the models, methods and analytical approaches that power Oritain's origin-verification science. You'll help set the direction of our data science capability while remaining close enough to the work to solve complex problems, guide projects and support delivery.

This is a role for someone who enjoys building as much as leading.

You'll mentor and develop other data scientists, help shape how we approach technical challenges, and work across science, engineering, product and commercial teams to ensure our statistical solutions create real-world impact.

You'll be joining a business in an exciting stage of growth. We're beyond the start-up phase, but we're still creating processes, improving ways of working and building capabilities. That creates a huge opportunity for someone who enjoys ownership, influence and helping bring clarity to complexity.

The people who thrive at Oritain are motivated by building, improving and creating. They enjoy helping others succeed and are open to feedback and learning, regardless of experience level. They bring energy, curiosity and a clear point of view. They can make progress when information is incomplete and know how to balance speed with quality.


Responsibilities

  • Provide technical leadership across statistical and machine learning projects.
  • Mentor and support other data scientists, helping raise capability across the team.
  • Lead a high-performing, engaged team that delivers meaningful outcomes and contributes positively to Oritain's culture.
  • Partner with stakeholders to understand problems, develop solutions and assess wider business impact.
  • Build statistical models and machine learning approaches that turn data into decisions.
  • Develop and deploy predictive models that solve business and operational challenges.
  • Work with large and complex datasets from diverse sources.
  • Create visualisations, dashboards and reporting tools that communicate insight clearly.
  • Work cross-functionally to embed data science into products, workflows and decision-making processes.
  • Keep up with developments in statistics and data science and bring the useful ones into our analytics.
  • Provide trusted expert guidance to internal and external stakeholders.

Requirements

  • A minimum of 8 years of industry experience applying statistics, mathematics and machine learning to real-world problems.
  • Advanced academic training in Statistics, Mathematics, Machine Learning, Data Science or a related discipline (PhD preferred).
  • Deep understanding of probability, statistics, uncertainty, linear algebra and calculus.
  • Extensive experience working with large datasets, data preparation and machine learning workflows.
  • Proven experience applying classification, clustering, dimension reduction and other machine learning techniques.
  • Strong programming capability and experience writing efficient, maintainable code in collaborative environments.
  • Advanced Python and R expertise.
  • Experience working with modern development tools and practices, including GitHub, VS Code, Conda and cloud environments.
  • An ability to balance technical rigour with practical business outcomes.
  • Strong communication skills and confidence working with stakeholders across different functions and levels.
  • A passion for mentoring, coaching and growing technical talent.
  • Sound judgement, curiosity and a willingness to challenge assumptions when better solutions exist.
  • Experience with Databricks or similar analytics platforms (nice to have).
  • Experience with HTML, JavaScript or related technologies (nice to have).
  • Previous experience in a scaling technology, analytics or science-led business (nice to have).
  • Experience leading teams through growth and change (nice to have).

Company Benefits

  • Pension - you are entitled to enrol in Oritain's 401(k) plan
  • 35 days annual leave (inclusive of public holiday)
  • 2 days volunteering days
  • Healthcare
Lead Statistical Data Scientist at Oritain
Position posted 2 weeks ago

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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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