Fospha  on cord

Fospha

Junior Data Scientist

External position
London, UK
Hiring internally for Fospha ?
Marketing and Advertising · Technology
Fospha helps brands maximise marketing ROI with data-driven, full-funnel attribution and analytics.
Active
over 6 months ago
Posted
a month ago
Checked
cord regularly checks that external positions are still open
1 hour ago

Skills & Experience

Job roles: Data Scientist
Experience level: Junior
Core skills considered: Python, SQL, Machine Learning
Other skills considered: AWS, Data Analysis, Cloud Computing

Logistics

Base salary: £50K - £50K
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

We're looking for a Data Scientist to join Fospha's Data Science team in London, working within our Stream 3 workstream.

Fospha builds marketing measurement products for ecommerce brands - attribution, marketing mix modelling, incrementality testing, and brand impact measurement. Our Data Science team owns the models behind all of it, from methodology through to production code. You will have the chance to work across our technical stack to make real code impacts on codebases.

This role suits someone with some commercial data science experience behind them who wants to go deeper. You'll take on interesting but challenging work with a supportive team structure and a company that rewards high agency with ownership.


What you'll do

  • Own moderately difficult tickets end to end - analytical investigations, model backtesting, production bug fixes, and pipeline work, with decreasing need for step-by-step direction
  • Debug systematically across our codebases - including repositories you're only partly familiar with, using AI tooling to get up to speed quickly
  • Write and review production code - Python and SQL that avoids technical debt, plus reviewing AI-assisted code so it lands with minimal bugs
  • Use our QA automation and cloud tooling effectively - running validation properly and understanding the data science parts of our AWS pipelines
  • Communicate with clients and colleagues - explaining methodology and findings directly, with only minor assistance from senior colleagues
  • Push for clarity up front - working directly with other teams to pin down acceptance criteria and requirements, rather than sitting blocked waiting on them
  • Start becoming an internal data science champion - the person other teams come to on the areas you own

What we're looking for


Essential

  • Some commercial data science experience - typically 1-2 years, or a strong placement/internship record alongside a quantitative degree
  • Strong Python and SQL, with the ability to collaborate on shared code and avoid technical debt
  • Deep knowledge of a handful of machine learning algorithms - not breadth for its own sake, but real understanding of a few methods and when they apply
  • Able to systematically debug unfamiliar code, using AI tooling to accelerate rather than to guess while still understanding problem fully
  • Strong AI fluency - you understand how to optimally start a task with AI, you use it to unblock cross-team dependencies, and you always QA the output for accuracy and brevity before it goes anywhere
  • Confident completing work independently once scope is agreed
  • Able to communicate with clients and colleagues with only minor assistance
  • Genuine attention to detail - much of this work involves noticing when a number is wrong

Nice to have

  • Experience with AWS or comparable cloud tooling
  • Familiarity with automated QA tooling and test coverage practices
  • Any experience with marketing, ecommerce, or advertising data
  • Exposure to Bayesian methods, marketing mix modelling, or experimental design

You do not need prior experience with marketing mix modelling, attribution methodology, incrementality testing, or Bayesian modelling. These are taught here, and we'd rather hire someone who learns fast than someone who arrives pre-loaded.


How you'll grow

We run a published Data Science Career Development Framework with six levels. You'd join at Developing, where the expectations are:

  • AI Fluency & Tooling: Understands how to optimally start all relevant tasks with AI; confident completing work independently; uses AI to push for acceptance criteria and limit cross-department dependencies; always QAs AI output for accuracy and brevity.
  • Machine Learning & Modelling: Deep knowledge of a handful of algorithms, and familiarity with the full Fospha model suite.
  • Engineering & Codebase: Systematically debugs issues with AI support, even in partly familiar repositories; uses supplied AWS tooling efficiently and understands the data science parts of the pipelines; uses existing QA automation effectively; avoids technical debt and collaborates well on code; reviews AI-assisted code so it ships with minimal bugs.
  • Stakeholder & Communication: Communicates with clients and colleagues with minor assistance.
  • Job Complexity: Undertakes moderately difficult tickets while starting to become an internal data science champion.
  • Supervision: Receives detailed instruction, but becomes progressively less dependent on senior colleagues.

Company Benefits

  • Pension scheme
  • Private healthcare
  • Work perks scheme and discounts
  • We believe growth never stops and that is why we encourage all our employees to upskill: taking part in our Fospha L&D activities, structured training and leadership development programs as part of Blenheim Chalcot
  • Regular all-company social events throughout year
Junior Data Scientist at Fospha
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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Message Alex Yeates at Starling Bank
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