Trainee Data Scientist
London, GB
Royal London
From Pensions to Retirement, Savings, Investments and Life Insurance, Royal London has been helping people plan for life’s financial milestones since 1861.Job Title: Trainee Data Scientist
Contract Type: Permanent
Location: London
Working style: Hybrid 50% home/office based
Closing date: 18th April 2024
We have a new and exciting opportunity for an ambitious Junior Data Scientist to join the Data Transformation team within Royal London Asset Management.
The Data Scientist will join the data strategy and transformation team and will support RLAM organization's artificial intelligence (AI) initiatives focussing on Machine Learning. They will work closely with the Data & AI Strategy manager to help shape RLAM AI Centre of Excellence (COE), collaborating with many business and technology stakeholders to develop AI-powered solutions that support RLAM’s business objectives.
This role is ideal for an individual early in their career of data scientist who is passionate about AI and would like to play a key role in driving the adoption and success of these technologies within the organisation.
About the role
- Embraces AI principles for RLAM, including best practices for environments, coding, and approaches.
- Supports the business with algorithm development including traditional AI and LLMs, t through the forthcoming AI COE consulting services.
- Empowers business data science acting as a go-to person for guidance and support.
- Collaborates on use cases ensuring that the organisation can fully leverage the power of AI and data.
About you
- Bachelor's degree or equivalent in a relevant field such as data science, computer science, statistics, science (STEM) or a related field.
- Some practical experience in Machine Learning/ data science related work / use case development.
- Some experience applying statistical analysis and modelling techniques with real-world data to extract insights and make predictions.
- Familiarity with at least one programming language, such as Python or R and ability to manipulate and analyse large datasets using SQL type queries.
- Experience with Azure AI and Snowflake environments a plus although full training will be provided.
- Experience in supporting use case development.
- Good interpersonal and communication skills.
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. You can see all our benefits here - Our Benefits
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AI strategy Azure Computer Science Consulting Data strategy LLMs Machine Learning Python R Snowflake SQL Statistics STEM
Perks/benefits: Career development Health care Medical leave
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