Head of Data Science, Client Data and Analytics
London 33 Old Broad Street, United Kingdom
Full Time Executive-level / Director GBP 121K - 200K
Lloyds Banking Group
We are the largest UK retail and commercial financial services provider, with 26 million customers and a leading digital presence.End Date
Sunday 23 February 2025Salary Range
£0 - £0We support flexible working – click here for more information on flexible working options
Flexible Working Options
Hybrid Working, Job ShareJob Description Summary
.Job Description
JOB TITLE: Head of Data Science, Client Data and Analytics
SALARY: £121,000 - £200,000 (dependent on experience and location)
LOCATIONS: London / Bristol / Edinburgh
HOURS: Full-Time
WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites
About This Opportunity
Client Data and Analytics is an exciting team which delivers AI, Machine Learning, Analytics and Innovation to the heart of Business & Commercial Banking. We accelerate the digitisation of our division, enabling its agenda to support UK businesses to grow sustainably and be the engine room of our economy.
We're looking for a Head of Data Science who can lead and champion a team of Data Scientists and Machine Learning Engineers to design, develop, and deploy engaging data products and services that deliver impact for our customers and colleagues. You'll coordinate the entire lifecycle of data projects, from concept to production, and ensuring that they meet the highest standards of governance, performance, and reliability.
There is a need to demonstrate effective communication skills with both technical and non-technical audiences, showcasing thought leadership and influence. You'll prioritise commercial goals and employ technology to achieve the intended objectives.
Demonstrating the use of Google Cloud Platform capabilities while also operating across our various cloud environments and legacy data stores. This role will contribute to build enduring capability with the appropriate guardrails.
Responsibilities:
Build a positive culture within data science team members, ensuring alignment with divisional and group strategy.
Key contributor to the Data Science, Machine Learning & Generative AI roadmap for Commercial Banking, setting out project priorities into the medium-term.
Drives roadmap projects through to successful deployment and demonstrates the business impact of live projects
Constantly working with business teams to identify new project ideas, which are maintained as a backlog and fed into the delivery roadmap
Builds and manages relationships across the Commercial Bank, as well as operational support functions and IT delivery teams
Responsible for the governance, monitoring and management of live models in production
Works closely with data warehousing and data engineering teams to ensure the team has access to the data it needs to deliver current and future projects
Delivers thought leadership on the latest industry technical developments, emerging trends, new technologies, and AI to contribute to business strategy.
Why Lloyds Banking Group
We’re on an exciting journey and there couldn’t be a better time to join us. The investments we’re making in our people, data, and technology are leading to innovative projects, fresh possibilities, and countless new ways for our people to work, learn, and thrive.
What You’ll Need
Consistent track record building and leading high performing teams.
Strong interpersonal and communication skills - able to influence and demonstrate thought leadership to both technical and non-technical audiences
Expertise in cloud computing platforms, especially Google Cloud Platform (GCP)
Proficiency in data warehousing and database technologies, such as Teradata, Hadoop, MSSQL & BigQuery
Good knowledge of Python and ability to establish software engineering principles in the team
General knowledge in containerization and orchestration tools, such as Kubernetes, Docker, and Kafka
About Working For Us
Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture.
We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative.
And it’s why we especially welcome applications from under-represented groups. We’re disability confident. So if you’d like reasonable adjustments to be made to our recruitment processes, just let us know.
We also offer a wide-ranging benefits package, which includes:
A generous pension contribution of up to 15%
An annual performance-related bonus
Share schemes including free shares
Benefits you can adapt to your lifestyle, such as discounted shopping
30 days’ holiday, with bank holidays on top
A range of wellbeing initiatives and generous parental leave policies
Want to do amazing work, that’s interesting and makes a difference to millions of people? Join our journey. 🚀
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 keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.
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.
Tags: Banking BigQuery Data Warehousing Docker Engineering GCP Generative AI Google Cloud Hadoop Kafka Kubernetes Machine Learning MS SQL Python Teradata
Perks/benefits: Career development Equity / stock options Flex hours Health care Parental leave Salary bonus
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