- Run, maintain and improve a suite of Python data science models used by Consumer businesses
- Work closely with business teams to identify and “prove” new use cases and the value of Data Science
- Work with other Data Scientists, ML Engineers and technical SMEs to identify, develop and implement new solutions that deliver customer and business value
- Promote high quality ML practices alongside maintaining an effective control environment, sharing knowledge with others and offering technical leadership or support as needed
- Proactively seek opportunities to improve solutions and present concrete plans to deliver these
- Deliver in line with LBG data science, model governance and risk management policies and procedures, maintaining constructive relationships with specialist colleagues in these areas
- Grow your capability by pursuing and investing in personal development opportunities
- Keep up-to-date with emerging developments in the Data Science, ML engineering and ML Ops fields, and proactively share findings with the team
- Strong theoretical and applied knowledge of statistical modelling and/ or ML techniques
- Computer science fundamentals: a clear understanding of data structures, algorithms, software design, design patterns and core programming concepts
- Good understanding of SQL and prior experience of working with large data sets
- At least 2-3 years’ commercial experience across the full software development lifecycle, from experimentation through to deployment of containerised Machine Learning models to a live environment, using technologies such as Docker and Kubernetes
- Experience of Python code is preferred, but other object-oriented languages also considered
- Exposure to some GCP cloud tooling (e.g. Cloud DataFlow, BigQuery) and visualisation tools such as PowerBI or Tableau is highly desirable
- Ability to extract and effectively communicate key points from complex information to support business decision making
- Sound understanding of and/ or enthusiasm for retail banking and an appreciation of the opportunities that ML provides
- A discretionary performance share bonus
- A generous pension contribution
- A 4% flex cash pot you can adjust to suit your lifestyle
- Private health cover
- 30 days holiday plus bank holidays
- Access to various share schemes including free shares
Company
Location
London, England - United Kingdom
Job type
Full-Time
Python Job Details
End Date
Thursday 19 January 2023
Salary Range
£61,176 - £76,470Agile Working Options
Job Description Summary
Responsible for building, developing and improving Machine Learning models across Consumer businesses, working in collaboration with other technical and business SMEs. Focused on proving new use cases and the value of data science for the business, together with identifying opportunities to improve the existing portfolio of models. Responsible for maintaining a robust control environment and providing technical leadership and support where required.
Job Description
At Lloyds Banking Group, we have a clear purpose; to help Britain prosper and to become the best bank for our customers. What we do makes a genuine difference to families, businesses and communities, and we're playing a central role in building a growing UK economy.
About the Consumer Data Science team:
As a Data Scientist you’ll be involved in building, developing and improving Machine Learning (ML) solutions across the Consumer Lending and Consumer Relationships teams. You’ll work on different projects with a wide variety of colleagues to understand how we can apply the latest ML thinking to deliver value.
Working in our growing team enables you to get close to and understand how the business operates, how we serve our customers and the role that Data Science and ML can play in making things better for LBG and its customers – and it’s this proximity to the business that sets us apart.
Your role will evolve as the team matures, so we’d love to hear from applicants who are highly motivated, curious and open to new ways of working. We’re also looking for applicants with a proven background in working with large-scale applications and data platforms.
The team is primarily London-based, with a small presence in Bristol too. We can be flexible on location for the right colleague, though regular travel to London will be required.
Key activities in the role:
We’re looking for candidates with the following knowledge, experience and capabilities:
Our commitment to you
We’ll provide a diverse, energising and informal environment that focuses on equal opportunity and supports career progression. Roles in the team offer the opportunity to work flexibly where this does not conflict with business needs. We take personal and professional development very seriously and will enable you to make a positive difference to the team and to the wider Group.
What would you get in return?
In addition to base salary, we'll give you a remuneration package which includes:
Does this sound like you? If so then please get in touch, we'd love to hear from you!
We're an equal opportunity employer and deeply value diversity within our organisation. We'll ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Together we make it possible.
At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.
We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
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