Job Description
Data & AI Solutions Analyst
Contract type: Permanent
Location: London
Working style: Hybrid 50% home/office based
Closing date: 15th March 2026
This is an exciting time to join RLAM as we accelerate our AI capability and deepen our investment in cutting‑edge data technologies. As a Data & AI Solutions Analyst, you’ll be part of a small, highly skilled team driving the development of data‑driven and AI‑powered solutions across the organisation. This is a technically demanding, innovation‑focused role requiring strong coding skills and a passion for experimentation.
You’ll help deliver innovative solutions, support colleagues who are eager to build their technical capability, and contribute to the exploration of emerging technologies. You’ll also help run communities of practice by identifying experts, sharing best practices and shaping methodologies that uplift data maturity across RLAM.
This is an excellent opportunity for a graduate who is passionate about data, technology and AI, eager to innovate, and ready to build a successful career in a rapidly evolving field.
About the role
- Deliver data and AI solutions to colleagues across RLAM using technologies such as Snowflake, PowerAutomate, RDP and Python.
- Assist colleagues across the business who lack technical skills but are eager to learn, building relationships and transferring knowledge to help them become self‑sufficient in core technologies.
- Drive experimentation with new technologies, including large language models (LLMs), knowledge graphs, emerging data/AI tools and voice technologies, to ensure RLAM keeps pace with rapid advances in data and AI.
- Run communities of practice by identifying experts, gathering best practices, creating methodologies and leading sessions.
About you
- Bachelor's degree in a relevant field such as data science, computer science, statistics, engineering, science or a related STEM field.
- Having completed a work placement or internship in a data-related role or with exposure to AI concepts, an advantage.
- Familiarity with data analysis techniques, statistical analysis, and data visualization.
- Familiarity with AI concepts, including machine learning algorithms and LLM
- Desirable technical skills: Python, LLMs, AzureAI, SQL, Power Platform (Automate), Power BI
- Ability to build effective working relationships with internal stakeholders
- Ability to work with senior stakeholders
- Strong communication and interpersonal skills, with the ability to collaborate effectively with team members and stakeholders.
- Self-motivated and eager to learn, with a proactive attitude towards acquiring new skills and knowledge in AI technologies.
- Innovative, generation of new ideas
About Royal London Asset Management
Royal London Asset Management (RLAM), part of the Royal London Group, is one of the UK's leading fund management companies working with a wide range of clients across the globe to achieve their investment goals. Our long-term, client-driven focus means that we have a long-standing commitment to responsible investment. We act as responsible stewards of our clients’ capital, exercising their rights and influencing positive change.
Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered, Trustworthy, Collaborate, Achieve.
We've always been proud to reward employees by offering great workplace benefits such as 28 days annual leave in addition to bank holidays, an up to 14% employer matching pension scheme and private medical insurance.
Inclusion, diversity and belonging
We’re an Inclusive employer. We celebrate and value different backgrounds and cultures across Royal London. Our diverse people and perspectives give us a range of skills which are recognised and respected – whatever their background.
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