ClearScore on cord

ClearScore

Senior Data Scientist

External position
London, UK
Hiring internally for ClearScore?
FinTech · Finance
Our vision is to help everyone, no matter what their circumstances, achieve greater financial well-being.
Active
over 6 months ago
Posted
3 weeks ago
Checked
cord regularly checks that external positions are still open
2 days ago

Skills & Experience

Job roles: Data Scientist
Experience level: Senior
Core skills considered: Python, SQL, Machine Learning, Data Modeling
Other skills considered: Data Pipelines, Databricks, Product analytics

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

Leading the end-to-end development of data science and machine learning solutions - from business concept through to impact evaluation - to enable a better user experience through data-driven Targeting

Working closely with cross-functional stakeholders to shape how Data Science and the broader Targeting initiative can effectively support business needs to drive maximum impact

Helping to set the quality bar for what we put into production: scrutinising data, features and model behaviour, and surfacing problems in our data and processes before they reach our users

Identifying and implementing improvements and optimisations in our model development and management processes, driving more efficient and standardised ways of working, leading by example in what you deliver

Driving the strategic utilisation of model outputs for decision making, working with the Global Targeting squad to use model outputs to change what users see

Exploring new developments at the intersection of traditional Machine Learning and AI, and determining how they can be utilised effectively to drive better outcomes for our users and business


Skills we'd love you to have

  • A self-starter mindset: curious, collaborative, and committed to continuous learning - including the adoption of new tools as they emerge
  • A desire to deeply understand a problem and its importance to the business before attempting to solve it, and being comfortable proactively seeking that context rather than waiting for it
  • A strong ability to think critically about, and reason concisely with, data. A drive to understand our users, products, and how users interact with them, and to build an advanced knowledge of our data assets and how these connect to our users' financial wellbeing through the product experience
  • Advanced Python and SQL skills, and a strong understanding of dbt and Analytics Engineering for feature engineering. In-depth knowledge of varied statistical and machine learning techniques. You're capable across the full model lifecycle, including how models get deployed and maintained effectively in a production environment
  • Demonstrable experience of using business-domain knowledge to drive model development or derive insights from data
  • The ability to explain the key findings from complex analysis and modelling exercises to both technical and non-technical audiences. You feel at home interacting with stakeholders from across different specialisms around the organisation

We'd especially love to hear from you if you have

  • Experience using AI tools as part of your everyday workflow, with the judgement to know what to trust, what to verify, and when the output isn't good enough. We're increasingly adopting AI tools as part of our development cycle, so an interest and knowledge of harnessing these effectively would be highly valued
  • Experience developing or working on real-time / near real-time inference solutions and the infrastructure to support them
  • Experience working with and deploying solutions into Databricks
  • Experience working in a product-focussed environment, partnering closely with cross-functional teams to build and iterate quickly
  • A good understanding of consumer lending and the key drivers of credit and affordability strategies, as well as familiarity with credit bureau data and its effective utilisation for building predictive ML models
  • A postgraduate degree or equivalent qualification in a STEM field

Company Benefits

  • Holidays – 25 paid holidays and a “duvet day” on your birthday
  • Pension – ClearScore matches up to 6%
  • Market-beating medical insurance - with the option to add friends and family
  • Dental cover with Denplan, the LARGEST dental provider in the UK – with the option to add family members
  • All permanent staff are automatically included in our ClearScore Group Life Assurance Scheme – life insurance cover will be an amount that is equal to 4x your basic salary
  • Perkbox – a choice of different benefits
  • Flexible work hours and the ability to work from home
  • Flexible, generous and personalised maternity and paternity plans
  • Monthly funded GP office visits
  • Free breakfast and fruit...and a beer fridge
  • Company personal trainer, boxing and yoga classes
  • Company clubs for football, climbing, cinema, board games... if there's not one for your passion, start one!
Senior Data Scientist at ClearScore
Position posted 3 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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