The Data Science job sector is a pivotal element of modern technological progress, transforming vast data streams into actionable insights and pioneering solutions. Within this vibrant field, Data Scientists spearhead efforts, navigating through complex datasets to detect patterns and forecast outcomes. In a more specialised area, Machine Learning Engineers utilise algorithms and models to enable machines to learn from and respond to data. Statisticians, with their sharp understanding of numbers, form the robust backbone of the sector, testing hypotheses and ensuring data accuracy. Additional roles, such as Data Visualisation Specialists, facilitate the translation of raw data into forms easily understood by humans, while Deep Learning Specialists extend the limits of machine perception and comprehension.
For those drawn to numbers, algorithms, and the narratives data can unfold, the Data Science sector offers a realm of limitless possibilities, challenges, and the prospect of driving future innovations.
You'll work within a team of data scientists and engineers, providing technical expertise while collaborating with cross-functional teams and stakeholders to deliver high-impact results. You'll also need experience with statistical modelling and machine learning techniques, as well as some knowledge of financial services.
Today, we are reimagining global financial services and building products that extend beyond traditional barriers to give customers access to more of the services they need, no matter where they call home. Employment is determined based upon personal capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including a woman's potential to get pregnant, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability (including the use of a trained dog guide or service animal), HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law.
WHAT TO EXPECT
Finance are on a journey to become a digital world class organisation and have created an Analytics and AI team, within Finance Transformation, to rapidly accelerate the development and deployment of Finance & Entity Data Products. If you're unsure that you meet the full criteria of a role - but you're interested in where it could take you - we still encourage you to apply.
The research groups in RAND Europe boast a diverse portfolio, addressing key public policy challenges such as education and child welfare, health and wellbeing, geopolitical competition and national security, environment and climate change, technological innovation and disruption, among many others. Coordinate complex projects, mentor a team of talented data scientists and researchers, and drive the impact of our work through strategic communication and outreach. A track record of collaborative research and team motivation, with a focus on skills and career development. Experience applying data science methods and tools to support policy research and/or social sciences research
Eligibility for UK Security Clearance (SC) or Developed Vetting (DV). Team-oriented with a commitment to rigorous research and public service. )
Benefits
Please see our careers page for associate benefits for each location
How to Apply
If you believe you are suited to the above role, please submit an application comprising of a CV and covering letter.
About the role
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