Qogita on cord

Qogita

Data Scientist

External position
London, UK
Hiring internally for Qogita?
E-Commerce · Marketplace
Wholesale Powered By Technology
Posted
a month ago
Checked
cord regularly checks that external positions are still open
2 days ago

Skills & Experience

Job roles: Data Scientist
Experience level: Mid, Senior
Core skills considered: Artificial Intelligence, Deep Learning, Machine Learning, Python, SQL
Other skills considered: Airflow, Cloud Computing, Data Pipelines, Data Modeling

Logistics

Base salary: £70K - £90K
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

You're a data scientist with broad analytical and ML experience as well as production LLM expertise. You'll own the full spectrum of data science work at Qogita - from classical modelling and forecasting through to LLM-powered features - and act as the team's go-to on language model architecture, evaluation, and deployment. You'll take end-to-end ownership of complex ML systems and pipelines that are business-critical: designing them, shipping them, and keeping them healthy in production. The Data Science team works cross-functionally with Product, Engineering, and Commercial teams to build the intelligence layer that drives Qogita's marketplace.


What you'll do

  • Build and deliver data science solutions across the stack - predictive models, ranking systems, demand forecasting, and LLM-powered features - depending on where the business need is greatest
  • Take ownership of business-critical ML systems end-to-end: from problem framing and model design through to deployment, monitoring, and ongoing maintenance in production environments
  • Act as the team's domain expert on LLMs: advise on model selection, architecture decisions, prompt engineering, fine-tuning, and evaluation
  • Design and implement RAG architectures and evaluation frameworks where language models are the right tool for the problem
  • Apply classical ML and statistical modelling to structured business problems - pricing signals, supplier matching, catalogue enrichment - with rigorous attention to measurement and validation
  • Translate ambiguous business problems into tractable ML problems with clear success criteria, working closely with Product and Commercial stakeholders
  • Collaborate with Engineers to ship models via reproducible MLOps workflows - experiment tracking, model serving, alerting, and production monitoring - with a high bar for reliability and observability
  • Communicate model choices, limitations, and trade-offs clearly to non-technical stakeholders including Product and commercial leadership

What you'll bring

  • 3+ years working as a data scientist or applied ML engineer, with meaningful exposure across both classical ML and deep learning
  • A track record of owning ML systems in production - not just building models, but maintaining, monitoring, and iterating on them as live business-critical infrastructure
  • Demonstrable LLM expertise - hands-on experience building and evaluating LLM-powered systems in a production or near-production environment
  • Solid grounding in ML fundamentals: statistics, probability, supervised and unsupervised learning
  • Practical experience with transformer architectures and the major model families (GPT, Claude, Llama, Mistral), including RAG pipeline design and vector database usage
  • Strong Python and SQL, with experience using LangChain, XGBoost, PyTorch, Hugging Face Transformers (or similar frameworks), MLOps tooling (experiment tracking, model serving, monitoring), and experience of orchestration for ETL pipelines (Airflow)
  • Experience with cloud ML services on AWS, GCP, or Azure, including deploying and operating models in distributed environments
  • Able to communicate uncertainty and model limitations clearly to both engineers and non-technical stakeholders

Company Benefits

  • Competitive annual leave
  • Yearly performance-based bonus
  • Pension contribution
  • International private health insurance plan
  • Monthly Gift Card Allowance via “Ben” & “Perks at Work”
  • Onboarding home-office package
Data Scientist at Qogita
Position posted a month 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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