Quality Assurance Data Scientist London
Job description
Available Job Today This is a 12 month fixed-term position
Snapshot
By being the first in-house machine learning team of LNER, we are pioneering the innovation within the British railway industry. Our work impacts millions of customers and improve the quality of their travel experience.
About Us
We are the London Northeast Railways, transporting our customers from all the way from Inverness and Aberdeen up to London for already a century. We are on the mission to rebuild and transform the entire customer journey experience.
The Role
As a QA data scientist of the LNER's ML Team you have the unique opportunity to critically assess and validate all modelling tasks related to our ML production pipeline. You will design and implement tests, quality assurance safeguarding metrics and statistical models for online monitoring of the performance of the live production ML models. You will use generative models to create synthetic datasets for the ML model testing, assess the ML models based on the various data corruptions, data drifts and out-of-sample detection techniques. Based on your assessment and inputs, you will decide when to trigger the new machine learning model lifecycle. You will share your knowledge and experience with wider LNER audience.
About You
- Strong academic knowledge and experience with large variety of machine learning modelling including deep learning and Bayesian modelling.
- Excellent knowledge of the out-of-sample modelling techniques, uncertainty modelling and distributional shifts modelling.
- Excellent knowledge of generative models.
- Excellent knowledge of machine learning libraries, such as TensorFlow, PyTorch, Sklearn, Pandas, Scipy, Numpy, etc.
- Expert in Python.
- Basic software engineering skillset and experience with software testing engineering.
- Proficient in technical writing.
- Long standing experience with communicating to technical and non-technical audience.
What Helps To Stand Out:
- Academic qualification in machine learning, mathematical modelling, or statistics. PhD qualification is desirable but not essential.
- Cloud tech stack knowledge and previous experience with using AWS solutions.
- Proficient in Unix environment.
- Previous experience in working with large scale datasets.
- Previous experience in software quality assurance is strong plus but not essential.
What you'll get:
- Free travel on LNER + 75% off other companies' tickets (for you & dependents)
- Discounted international train tickets (after one year's service)
- 50% discount on LNER tickets for friends & family
- Generous pension scheme
- Annual cycle to work schemes
- Discount, savings and cashback scheme from top retailers
- Health & wellbeing schemes and discounts
- Host of training opportunities to help further your career
- Rewards & awards to recognise when you shine
What we believe:
To be the most loved, progressive and responsible train operating company, we must make a meaningful difference – always doing what's right for our customers, our people, the communities and destinations we serve, the future of the industry we lead and the environment we cherish.
We know that our people are the beating heart of everything we do. We are committed to creating an inclusive, engaged culture that supports everyone at every stage of their journey – and ensures that when you're at LNER, you can always be you. No wonder most people never want to leave!
Diversity and inclusion
We are passionate about creating a diverse and inclusive workforce, representative of the communities we serve, and are creating ways to inspire diverse talent to join LNER.
Developing our people
We are focused on creating a learning culture, to support our people to be the best they can be at work by providing them with the tools and resources to navigate their development and career journey.
Health & wellbeing
To create a culture where our people can perform at their best, the physical health and mental wellbeing of our people is of paramount importance to us.
What next?
As we say, we have fantastic opportunities for ambitious people from all sorts of different backgrounds, so now is the time to join the team at LNER – without delay!
Start your journey here
