ASOS on cord

ASOS

Senior Applied Scientist - Pricing

External position
London, UK
E-Commerce · Fashion
Be whoever you want to be @ ASOS.
The company is no longer hiring for this position.

Skills & Experience

Job roles: Data Scientist, Deep Learning Engineer
Experience level: Senior
Tech stack/tooling used: Python, Tensorflow, Keras, PyTorch, Deep Learning, Machine Learning, Agile
Core skills considered: Python, Tensorflow, Keras, PyTorch, Deep Learning
Other skills considered: Machine Learning, Agile

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: On-site, Hybrid
Visa sponsorship: Not available

Job Description

We are looking for a Senior Applied Scientist, with expertise in deep learning, to join our cross-functional AI Trade Optimisation team. We build algorithms and machine learning systems for pricing, customer targeting, and product understanding. To do so, we are able to leverage unique datasets of transactions and click streams for millions of ASOS customers and hundreds of thousands of products.

The role sits within the Applied Science domain, which is responsible for the algorithms that power ASOS digital ecosystem. From Recommender Systems through to Pricing models that drive key operating decisions, the teams maintain, build and innovate in some of the most interesting areas of machine learning at scale, training models on unique datasets, transactions and clickstream data.

What you'll be doing:

  • You will be part of an agile, cross-functional team to build causal algorithms for the pricing, forecasting and customer targeting space.
  • You will personally drive the design and implementation of algorithms that create measurable impact across the business. You will work independently to conduct R&D, lead stakeholder conversations, and conduct large-scale experiments to test hypotheses and drive product development.
  • You will write production grade code, and contribute to the continual development and improvement of our codebases and technology, following best practices regarding MLOps.
  • You will keep up to date with relevant state-of-the-art research, taking part in reading groups alongside other scientists, with the opportunity to publish novel prototypes for the business at top conferences.
  • You will be mentoring and coaching junior members of the team, supporting their technical progress.

About You

  • You have professional experience in machine learning and their practical applications in production environments. You are familiar with statistics, regression and ensemble methods, and have particular expertise with deep learning. Expertise and exposure to optimization, causal methods or reinforcement learning are a plus.
  • You are comfortable working in Python and familiar with at least one deep learning framework (e.g., PyTorch, TensorFlow). Experience with distributed computing frameworks (e.g., Horovod, DeepSpeed) for training deep learning models is a plus.
  • You have a solid understanding of software development lifecycles and engineering practices (including version control, data pipelines, CI/CD), and are able to write production-grade code.
  • You are able to work independently to manage projects and deliver prototypes against a timeline. You also have experience managing non-technical business stakeholders and working collaboratively with other machine learning professionals.
  • We are keen to speak to people who are comfortable with R&D, and would love to meet someone who has authored publications in top-tier machine learning conferences or journals (e.g. NeurIPS, ICLR, ICML, KDD, CVPR, ICCV, ECCV, ACL, EMNLP).

Company Benefits

  • Birthday Day off
  • 25 Days Holiday
  • Give a day away scheme
  • Tech development day – 1 day a month to focus on your development
  • Onsite Gym
  • Subside Canteen
  • Asos discount
  • Sample sale

Interview Process

TBC
James on cord
Talent Acquisition Leader
Active over 6 months ago
ASOS are no longer hiring for this position.

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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
Alex Yeates on cord
Message Alex Yeates at Starling Bank
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