Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Science Manager - Gen AI

Legal & General
London
4 weeks ago
Applications closed

Related Jobs

View all jobs

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager – Insights Consultancy

Data Science Manager (Market Research)

Data Science Manager – Insights Consultancy

Job Description

Are you an AI enthusiast ready to make a significant impact? We are on the lookout for a talented and driven Data Science Manager to join our dynamic Group Data Science team. In this role, you'll lead the Generative AI team and develop innovative data science solutions that support decision-making, drive automation, and enhance efficiencies within our business. If you are passionate about data science and eager to contribute to a forward-thinking organization, we want to hear from you.What you’ll be doing:Leading on Generative AI solution design and developmentResearching and implementing cutting edge techniques, methodologies and approachesTaking projects from design, through proof of concept and into production and developing and delivering data science solutions using a variety of data sourcesLeading stakeholder management and issue resolution on project workIdentifying, sourcing, and engineering data to support data science activitiesCollaborating with other data professionals and business stakeholdersEnsuring all work is fully documented and quality assuredTaking solutions through internal governance and risk management processesQualificationsWho we’re looking for:Degree in a quantitative discipline (e.g., statistics, computing science, data science) or equivalent experienceExperience in dealing with high volumes of data with excellent attention to detailKnowledge of a wide variety of Generative AI modelsConceptual understanding of how large language models workProficiency in coding languages for data manipulation (e.g., SQL) and machine learning & AI development (e.g., Python)Experience with dashboarding tools such as Power BI and Tableau (beneficial but not essential)Experience with cloud native tooling for Azure and AWSStrong analytical and problem-solving skillsWhatever 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 schemesGenerous pension contributionLife assuranceHealthcare 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 holidayCompetitive family leaveParticipate 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 onlineIn 2023, some of our workspaces were redesigned. Our offices are great spaces to connect and collaborate and have your wellbeing at the heartAdditional 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. Share this article

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.