2 of 2 Objectives and Key Results Jobs in Lancashire

time at an office hub mentioned above. About this opportunity At the heart of our transformation, the Colleague Channels Platform (CCP) powers the capabilities that enable Branch, Contact Centres, and Operations to deliver exceptional customer service. We lead the delivery of programmes across Consumer Relationships and Consumer Lending , spanning multiple platform teams. CCP is a key enabler of our overall … yet powerful: to help the business build deeper, more trusted relationships with customers by transforming our colleague channels. We're modernising the final legacy monoliths- Multi Channel Architecture (MCA) and Personal Banking Servicing (PBS) -and reimagining the colleague desktop experience. This is a rare opportunity to lead a large, multi-disciplinary team and help build the servicing journeys of the … role puts you at the centre of one of the most transformative programmes in CCP. This isn't just about replacing old systems-it's about enabling smarter, faster, and more intuitive ways for colleagues to support customers. The work you lead will set the standards for intelligent automation, real-time decisioning, and seamless servicing. Curious about how AI can More ❯

function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head of Data Science, you'll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical … direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers … marketing, operations and finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools More ❯