Intellias on cord

Intellias

Senior Data Scientist

External position
Remote in UK
Hiring internally for Intellias?
Consultancy
Global Technology Partner
Posted
a week ago
Checked
cord regularly checks that external positions are still open
11 hours ago

Skills & Experience

Job roles: Data Scientist
Experience level: Senior
Core skills considered: Machine Learning, Python, Data Analysis, Data Modeling
Other skills considered: Data Pipelines, Deep Learning, Data Protection, Data Security

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: Remote
Work from: Within United Kingdom
Visa sponsorship: Not available

Job Description

You will work at the intersection of Machine Learning, statistics, clinical data, and Generative AI, focusing on how AI system quality, safety, and reliability are measured in production.

This role is ideal for a Data Scientist with strong statistical and ML fundamentals, solid Python skills, and the ability to independently investigate complex, not-yet-fully-defined analytical problems.

The product is a clinical AI platform that combines LLM orchestration, healthcare data, clinical capabilities, and AI safety mechanisms to deliver personalized healthcare experiences.

The Data Science team develops and evaluates the intelligence behind the platform. A major focus is establishing rigorous methods for understanding how the system behaves over time - including drift detection, confidence calibration, safety-weighted quality scoring, and comparison against clinical ground truth.

You will also contribute to health scoring analytics, evaluate retrieval and embedding quality as RAG capabilities evolve, and analyze the behavior and accuracy of clinical AI capabilities.

You will work closely with experienced Data Scientists and an ML Platform Engineer responsible for operationalizing evaluation and monitoring infrastructure.


What you will do

  • Own the analytical side of ML/AI evaluation and monitoring, including drift thresholds, distributional analysis, and quality metrics.
  • Develop statistical methods for safety-weighted quality scoring and confidence calibration.
  • Compare AI and model outputs against clinical ground truth and evaluate performance across different populations and scenarios.
  • Perform population percentile, distribution, and outlier analysis supporting health scoring capabilities.
  • Evaluate retrieval quality, embeddings, and vector search performance as RAG capabilities evolve.
  • Analyze usage patterns, overlap, deduplication signals, and classification accuracy across clinical AI capabilities.
  • Partner with Data Scientists and ML Platform Engineers to translate analytical methods into repeatable production evaluation workflows.
  • Investigate unexpected model or system behavior and identify statistically meaningful changes or degradation.
  • Use Python and modern AI-assisted development tools to accelerate analysis while maintaining strong technical validation and engineering quality.
  • Clearly document evaluation methodology, assumptions, results, and recommendations.

What you need for this

  • Strong foundation in statistics and Machine Learning, with the ability to reason confidently about distributions, probability, model behavior, and evaluation methodology.
  • Strong Python skills and ability to write clean, maintainable analytical and production-oriented code.
  • Hands-on experience designing and performing statistical analyses on real-world datasets.
  • Solid understanding of model evaluation, confidence calibration, statistical testing, and performance metrics.
  • Experience analyzing data distributions, identifying outliers, and defining meaningful thresholds and quality indicators.
  • Understanding of data drift, model degradation, and distributional monitoring concepts.
  • Ability to design evaluation approaches where ground truth may be incomplete, noisy, or domain-specific.
  • Good understanding of Machine Learning workflows and the relationship between data, models, evaluation, and production systems.
  • Ability to understand application logic, system behavior, and data flow beyond isolated analytical notebooks.
  • Strong analytical and problem-solving skills with the ability to independently scope ambiguous problems and turn them into structured analyses.
  • Ability to clearly communicate methodology, assumptions, findings, and limitations to both technical and non-technical stakeholders.
  • Strong ownership mindset and ability to collaborate effectively within a small cross-functional team.
  • Professional working proficiency in English.

Nice to have:

  • Experience with Generative AI, LLM evaluation, or AI safety/quality assessment.
  • Experience evaluating embeddings, vector search, retrieval systems, or RAG pipelines.
  • Familiarity with Databricks, Spark, or other large-scale/batch data processing technologies.
  • Experience using AI coding agents or assistants as part of the development and analytical workflow, with the ability to critically validate their output.
  • Experience working with clinical or healthcare data.
  • Familiarity with healthcare standards such as FHIR or HL7.
  • Experience in Healthcare, Digital Health, or another regulated industry.
  • Exposure to production ML monitoring, experimentation, or evaluation infrastructure.
Senior Data Scientist at Intellias
Position posted a week ago

Talk directly
to who's hiring

cord intros you to the companies worth joining, from seed to enterprise.

Everything you need to find work

Surface every relevant position, direct message the people hiring and manage all your applications in one place.

Get started

Every position in one place

We index the web for open positions that might be relevant to you and bring them all in one place.

Positions you might like split into tabs based on their type

Direct messaging

No more CV blackholes. Message people hiring directly and see their activity live on cord.

A sent message to a hiring manager
A board of positions in different stages

Application management

Manage all your applications and interviews in one place.

Advanced insights

Know your worth and see how you compare with other applicants.

Visualisation of a profile match score for a position and score comparison with other applicants

Direct.
Transparent.
Human.

On cord you can message people hiring directly, see when they were last active, how responsive they are and access transparent information that you wouldn't be able to find anywhere else.

Photos people at Starling BankPhotos people at Starling BankPhotos people at Starling BankPhotos people at Starling BankPhotos people at Starling Bank
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
Alex Yeates on cord
Message Alex Yeates at Starling Bank
Typically responds in an hour

What people are saying

2,000+

users joining every week

Oliver on cord

Oliver

Software Engineering Consultant
It's really easy to use, has a solid selection of jobs, and makes it helpful to direct message companies. The platform seems to offer a good range of opportunities while keeping the process simple and convenient.
November, 2025
David on cord

David

Lead Software Engineer
The platform allows you to create a professional CV, making the setup process simple and polished. The internal chat also provides an easy way to directly contact hiring companies, which makes communication much more efficient.
November, 2025
40,000+

open positions

Nicolae on cord

Nicolae

Senior Full Stack Developer
It is a great platform if you are looking for a job. It makes the search process straight forward and gives you access to solid opportunities.
November, 2025
3 million+

messages exchanged so far

Nicolae on cord

Nicolae

Senior Full Stack Developer
It is a great platform if you are looking for a job. It makes the search process straight forward and gives you access to solid opportunities.
November, 2025
83.25%

response rate from companies

Aarambha on cord

Aarambha

Associate Software Engineer
Absolutely amazing idea, the ability to see which recruiters are active makes finding opportunities very quick. There is a form of transparency built into the website that lacks in any other job searching platform.
August, 2025
Adam on cord

Adam

Senior Engineer
cord was great. Clean UI, easy to browse, and the data feature made it a breeze to quickly check whether my profile would match up well with a particular role. The messaging system made it easy to approach companies but also filter out unwanted requests.
August, 2025
4.6

score on Trustpilot

Talk directly to the people that matter

Join the hundred of thousands of people using cord to find work

Get started
 on cord
 on cord
 on cord
 on cord
 on cord
+462 joined last week
Moved to your Not right positions