Data Science Manager at LegalAndGeneral

City of London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Model Development, Stakeholder Engagement, Data Engineering, Exploratory Data Analysis, Data Visualisation, Automation, Productionisation, Machine Learning, Explainable AI, SQL, Python, R, Problem-Solving, Analytical Skills, Communication

Industry

Financial Services

Description

Company Description Legal & General (L&G) is a leading UK financial services group and major global investor. We’ve been safeguarding people’s financial futures since 1836, and strive to build a better society, while improving the lives of our customers and creating value for shareholders. We are one of the world’s largest asset managers and provide powerful asset origination capabilities. Together, these underpin our retirement and protection solutions: we are an international player in pension risk transfer, in UK and US life insurance, and in UK workplace pensions and retirement income. Who we are Our Retail business supports customers throughout their lives, to help them save, plan, protect and enjoy retirement. We’re a leading provider of retirement and protection solutions. We aim to support our c.12.8 million policyholders and workplace members throughout their lifelong financial journeys. We focus on helping the customers of today and tomorrow achieve better long-term outcomes. We either talk with them directly or work with intermediaries and employers to meet their needs. We use the latest technology to connect with them quickly, efficiently and wherever possible in highly personalised ways. Job Description We’re looking for a Senior Data Scientist / Data Science Manager to help shape the future of data‑driven decision making across our organisation. You’ll join a collaborative, forward‑thinking team where you’ll use your expertise to build impactful models, enhance customer experiences, and drive meaningful change. If you’re motivated by solving complex problems and enjoy working with diverse data and stakeholders, this could be the role for you. What you'll be doing: Developing and delivering Data Science solutions that enhance decision making and customer experience Leading stakeholder engagement, simplifying technical concepts and building trusted relationships Identifying, sourcing and engineering data to ensure quality, completeness and readiness for modelling Conducting exploratory data analysis and creating repeatable, scalable data preparation patterns Visualising insights and model outputs to a high standard using best‑practice data storytelling Collaborating with multidisciplinary teams to automate and productionise Data Science solutions Documenting work thoroughly and participating in peer reviews to maintain quality and share knowledge Providing Data Science subject‑matter expertise to improve customer outcomes and business processes Qualifications Who we're looking for: A degree in a quantitative field or equivalent relevant experience Strong experience manipulating high‑volume datasets with excellent attention to detail Solid understanding of Machine Learning techniques and explainable AI approaches Proficiency in SQL and experience with programming languages such as Python or R Hands‑on experience developing and deploying Machine Learning models in commercial or research settings Ability to gather requirements, manage expectations and work effectively with a range of stakeholders Experience working with varied datasets across business domains; familiarity with cloud or dashboarding tools is beneficial A collaborative mindset with strong communication, problem‑solving and analytical skills Whatever your role, we reward performance and behaviour with a package that looks after all the things that are important to you. Here are some of the benefits we offer: The opportunity to participate in our annual, performance -related bonus plan and valuable share schemes Generous pension contribution Life assurance Healthcare Plan (permanent employees only) At least 25 days holiday, plus public holidays, 26 days after 2 years’ service. There’s also the option to buy and sell holiday Competitive family leave Participate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrifice (permanent employees only) There are the many discounts we offer – both for our own products and at a range of high street stores and online In 2023, some of our workspaces were redesigned. Our offices are great spaces to connect and collaborate and have your wellbeing at the heart Additional Information At L&G, we believe it's possible to generate positive returns today while helping to build a better future for all. If you join us, you’ll be part of a welcoming, inclusive culture, with opportunities to collaborate with people of diverse backgrounds, views, and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel. We care passionately about outcomes rather than attendance and are therefore open to discussing all kinds of flexible working options including part-time, term-time and job shares. Although some roles have limited flexibility due to customer demand, we accommodate requests when we can. It doesn’t matter if you don’t meet every single criterion in this advert. Instead, think about what you excel at and what else you can bring in terms of strengths, potential and connection to our purpose. Permanent/Regular or Fixed Term Contract/Temporary: Permanent (UK and ROW) / Regular (US) L&G Business Unit: Legal & General Retail L&G sub Business Unit: RETAIL - CENTRAL Primary Location: London, One Coleman Street Job Family: IT & Change

Responsibilities

The role involves developing and delivering Data Science solutions to enhance decision-making and customer experience, alongside leading stakeholder engagement by simplifying technical concepts and building trusted relationships. Key activities include identifying and engineering data for modeling, conducting exploratory analysis, visualizing insights, and collaborating to automate and productionize solutions.