Data Scientist
2 weeks ago
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
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