Data Scientist

My client is a prestigious government organisation, responsible for collecting and publishing statistics related to the economy, population and society at , regional and local levels.

The purpose of this position is to manipulate, engineer, model and analyse data and/or data processes to underpin Data Architecture and support internal and external users.

This position is an initial 6-month contract (full time, 37 hours per week, flexi-time), which has the possibility of transitioning into a permanent position.

The position is a hybrid role (1-2 days per week in office), and the successful candidate can be based from one of four office locations - Newport, Titchfield (Hampshire), Darlington, or Edinburgh.

Key Responsibilities

• Work with policy and operations teams to understand where data science can add value.
• Support strategic and operational decision making.
• Source, access, manipulate and engineer data processes with data that typically have characteristics of volume, velocity and variety, or both
• Build credible statistical models from the data and use best coding practices to generate reproducible work.
• May draw on other technical and analytical standards from across government and industry.
• Adhere to the data science ethics framework.
• Be open minded and demonstrate strong intellectual curiosity.
• Have an interdisciplinary focus, using techniques and knowledge from across the scientific spectrum.
• Explore and visualise the data to present the ‘story’ of the data in a meaningful way, and to a range of technical and non-technical audiences.
• Use an evolving range of data analysis tools and techniques, including open source, some of which must be learnt quickly.
• Continuously seek to expand a range of technical skills in addition to their leadership and communications development.
  
  

Data Scientists

• Have recognised technical ability in several data science specialisms and provide detailed technical advice on their area of expertise.
• Promote and present data science work both within and outside of the organisation.
• Engage with stakeholders and champion the value of data science work.
• Line manage and mentor junior data scientists
• Manage small project teams
  
  

Skills Required

• Applied maths, statistics and scientific practices
• Data engineering and manipulation
• Data science innovation
• Developing data science capability
• Domain expertise: Understands the context of the business, its processes, data and priorities
• Programming and build (data science): Uses a range of coding practices to build scalable data products that can be used by strategic or operational users