Senior Data Scientist

4 weeks ago

Cambridge, Cambridgeshire, United Kingdom Rand Europe Full time

RAND Europe is a leading research institute that conducts policy research for governments, international organisations, research councils, charitable foundations, and other organisations. Our team of experts is dedicated to advancing innovative approaches to address pressing societal issues.

The successful candidate will play a pivotal role in delivering tools to support our research, shaping public policy research, and influencing high-level government decision-making in the UK, the European Union, and globally. This role offers the chance to engage in intellectually stimulating work within a dynamic and diverse team, tackling a broad spectrum of topics, and employing cutting-edge methods, including AI/ML.

We are seeking a Data Scientist to enhance our cross-research group data science capabilities. The successful candidate will spearhead project delivery and research tool development within the research group portfolios, emphasising the integration of data-driven evidence.

The ideal candidate will have expertise in data science and quantitative methods, strong project management skills, and exceptional analytical, writing, and presentation abilities. They will also have a track record of collaborative research and team motivation, with a focus on skills and career development.

We welcome applications from a range of experience levels, from those slightly below to those exceeding our criteria. The role is based in our Cambridge office, however, we offer a hybrid working model asking staff to attend the office a minimum of once a week. There is occasional travel, primarily to London and Brussels.

Benefits

Please see our careers page for associate benefits for each location

Responsibilities

  • Spearhead project delivery and research tool development within the research group portfolios, emphasising the integration of data-driven evidence.
  • Coordinate complex projects, mentor a team of talented data scientists and researchers, and drive the impact of our work through strategic communication and outreach.
  • Utilise a broad spectrum of data science skills and remain committed to continuous learning and methodological innovation.
  • Lead and support impactful R&D, mentor staff, and expand our research scope.
  • Drive business development, manage proposals, and cultivate funding relationships.
  • Collaborate with the leadership teams to shape research strategy and contribute to RAND Europe's broader objectives.

Requirements

  • Expertise in data science and quantitative methods (e.g., statistical analysis, machine learning, causal inference, simulation modelling, network analysis, econometrics, natural language processing, use of large language models etc.)
  • Strong project management skills, including budgeting and team leadership.
  • Exceptional analytical, writing, and presentation abilities, with a knack for conveying complex concepts to diverse audiences.
  • A track record of collaborative research and team motivation, with a focus on skills and career development.
  • Higher Degree in a quantitative research discipline.
  • Ability to explain quantitative research to non-specialists and integrate it into mixed-methods projects including non-technical team members.
  • Proven project delivery within time and budget constraints.
  • Interest in public policy areas and collaborative research delivery.

Desirable

  • Additional technical skills (e.g., general coding skills, data mining, dashboard and tool development, data management, data visualisation etc.).
  • 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).

Personal Qualities

  • Strategic and analytical thinker with a practical perspective.
  • Networking and presentation skills to foster relationships and secure funding.
  • Team-oriented with a commitment to rigorous research and public service.
  • Eagerness to learn, contribute to team development, and embrace new challenges.

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