Data Scientist (Python)

London based (2 days in the office)

Salary & Benefits: from £71, 577 base salary, plus annual personal bonus, 15% employer pension contribution (when you put in 6%), 4% flexible cash pot, private medical insurance, 30 days holiday plus bank holidays.

We’re a family friendly organisation who focus on delivery, not time at your desk. A mature, flexible work environment, flexible start/finish hours, agile working practices. We care about your mental health and want to enable a good work-life balance.

Who are Lloyds Banking Group?

Lloyds Banking Group is the UK’s leading digital franchise, with over 13 million active online customers across our three main brands – including Lloyds Bank, Halifax and Bank of Scotland – as well as the biggest mobile bank in the country. We’re building the bank of the future, and we need your help.

Where will this role sit?

In Intelligent Automation we are committed to the mission of automating the routine whilst supercharging our understanding, to deliver a seamless experience for our customers and colleagues. We’re a diverse group of people. Software Engineers, Robotics Specialists, Cognitive Developers, Data Scientists, Conversation Designers, Natural Language Engineers and many more. We come from a variety of backgrounds across the globe, but we all share in the vision of the untapped potential of human and machine intelligence.

The Bank has a huge, untapped resource in the form unstructured data contained in calls with customers, webchats, e-mail and a host of other documents and media. We have a range of technologies to capture it and we want to lead on harnessing its potential.

What will I do?

In joining their Data Science team you could have a very bright future at the ground-breaking of data-led innovation.

• You’ll support all stages of a project from working with the business stakeholders and users to exploring the problem statement, exploring our data assets, experimenting with different modelling approaches and developing systems powered by Machine Learning all within an iterative and Agile environment. This means a focus on improving our customer and colleague journeys.

• You’ll will need to understand the business’ requirements and work with POs and Engineers to represent them through the creation and prioritisation of work for the development team.

• You’ll develop experimental models and Machine Learning systems in Python, supporting other Data Scientists and working in close collaboration with the end users and business SMEs.

• Your models will have a material impact on the lives of up to 30m+ customers across the whole of the UK.

This role will involve being hands-on in a technical capacity and as such we are looking for Data Scientists that can deliver to robust technical standards.

Essential skills & experience:

• Good coding/scripting experience (Python) developed in a commercial/industry setting

• A strong theoretical and applied knowledge of Machine Learning techniques especially in the Natural Language domain or working with other unstructured data

• A very good understanding of Python is also required including how to write modular Pythonic code, familiarity with the core Python data structures and fluency with pandas; a familiarity with unit testing

Desirable skills & experience

• Experience implementing and supporting Machine Learning systems including automating data validation, model training, model validation and model monitoring would also be very useful.

• Awareness of latest industry technical developments, emerging trends, new technologies, best practice for Natural Language

What you I get in return?

We’re dedicated to giving you opportunities and support to develop you both professionally and personally to optimise your potential.

As a new colleague, you’ll join us on our journey to build a 21st century bank that reflects modern Britain, and craft an inclusive culture where all colleagues feel welcomed and valued.

We’re committed to building a workforce which reflects the diversity of the customers and communities we serve, and to building an inclusive environment where all our colleagues can be themselves and succeed on merit. We support the principles of agile working and are happy to consider flexible working arrangements. We’re an equal opportunity employer and deeply value diversity within our organisation.

Together we make it possible!