Analytical Data Scientist

at  Department for Business and Trade

TECHNICAL SKILLS

We’ll assess you against these technical skills during the selection process:

• Government Statistician Group: Data analysis. Government Operational Research Service: Knowledge and application of OR skills and techniques
• For GSG: Acquiring data and understanding customer needs. For GORS: Achieving impact with analysis.
• GSG: Presenting and disseminating data effectively or equivalent

We only ask for evidence of these technical skills on your application form:

• Government Statistician Group: Data analysis. Government Operational Research Service: Knowledge and application of OR skills and techniques

Benefits

Alongside your salary of £32,858, Department for Business and Trade contributes £8,871 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides.

• Learning and development tailored to your role
• An environment with flexible working options
• A culture encouraging inclusion and diversity
• A Civil Service pension with an average employer contribution of 27%

We recognise the challenges that people with (multiple) protected characteristics may experience on the job market and in their career progression. We are fully committed to being an inclusive employer and ensuring equal opportunities. We are keen to make our workforce as diverse as possible, and we hope to attract applications from underrepresented groups, including ethnic minorities, people with a disability, and people with gender diverse identities
Please refer to the attached candidate pack for further information on our benefits.
Things you need to know

NATIONALITY REQUIREMENTS

This job is broadly open to the following groups:

• UK nationals
• nationals of the Republic of Ireland
• nationals of Commonwealth countries who have the right to work in the UK
• nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window)
• nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)
• individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020
• Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service

Further information on nationality requirements (opens in a new window)

OUR PRIMARY PURPOSE IS TO PROTECT PEOPLE AND PLACES FROM PRODUCT-RELATED HARM, ENSURING CONSUMERS AND BUSINESSES CAN BUY AND SELL PRODUCTS WITH CONFIDENCE

Further information can be found on our website here.
We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission’s recruitment principles. We embrace diversity and promote equality of opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives and skills. There is a guaranteed interview scheme (DCS) for people with disabilities who meet the minimum selection criteria.

ABOUT THE ROLE

You will report to and work closely with the Senior members of the team, as well as having the opportunity to lead on certain projects to build your leadership, management, and user engagement skills. You will deliver analysis on a variety of established and ad hoc topics, such as product safety, ports and borders enforcement and legal metrology. Ambition, fresh ideas in the development and use of data, and training in statistical and data science techniques are all actively encouraged! You will help OPSS become a data-led organisation, investigate new data sources and techniques, and champion the use of robust pipelines to deliver reproducible outputs.

KEY RESPONSIBILITIES

• Working with the Senior Team members in supporting a wide range of high-profile analytical projects.
• Leading on a small number of projects; handling partners and ensuring evidence is efficiently fed into operational policies and reports.
• Deliver data science solutions by applying your skills to a variety of product safety datasets.
• Harness the benefits of an internal cloud-based platform to develop analysis, statistical and machine learning models, host interactive visualisations, and collaborate with Git. Applying meticulous Quality Assurance, documentation and Reproducible Analytical Pipeline principles to both your own work and others’.
• Applying Artificial Intelligence and Machine Learning techniques on structured and unstructured data sets to extract information and create predictive models.
• Supporting the wider office in analytical requests, being a source of expertise on the most appropriate data sources and statistical techniques to apply to ad hoc and longer-term projects.
• Develop both your own and wider coding and data science capability across the department through training and community events

The purpose of this exercise is to assess how you:

• approach problems
• produce and communicate workable ideas
• structure and plan an analytical projec