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Data Scientist - active NPPV3 required

Farringdon
2 months ago
Applications closed

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Data Science Placement Programme

Data Science Placement Programme

PLEASE NOTE - To be considered you need to possess active NPPV3 security clearance

THE ROLE

To develop and implement advanced analytical models and algorithms to extract actionable insights from complex crime and intelligence data, supporting data-driven decision-making in crime prevention, investigations, and public safety. This involves leveraging statistical modelling, machine learning, and other data science techniques to identify patterns, predict trends, and generate intelligence that informs policing strategies.

EXPERIENCE:

  • 5+ years of experience in data science, Statistics or a related field.

  • Proven experience in developing and implementing data science solutions to real world problems, preferably in a public sector.

  • Good experience of working with large and complex datasets and handling sensitive data.

  • Experience with predictive modelling, machine learning, data visualizations and dashboards.

    SKILLS ATTRIBUTES

  • Proficiency in statistical modelling and machine learning techniques. This includes skills in regression analysis, classification, clustering, and other relevant techniques.

  • Programming skills in Python and R, with experience in data science libraries (eg, scikit-learn, pandas, TensorFlow) for data manipulation, analysis, and model development.

  • Experience with data visualisation tools (eg, Tableau, Power BI) to communicate data insights effectively.

  • Strong understanding of database concepts and SQL for accessing and manipulating data from various sources.

  • Excellent analytical and problem-solving skills. Ability to identify patterns, draw conclusions, and develop solutions to complex problems.

  • Strong communication and presentation skills essential for communicating data science findings to diverse audiences.

  • Ability to work effectively in a collaborative team environment in a team-based environment.

  • Understanding of geospatial analysis is a plus
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