Data Scientist

  • UK Government - Department for Work and Pensions
  • London, UK
  • Mar 20, 2020
Job - Full time Aerospace engineering Astronomy Biology Computer Science Chemical engineering Engineering Health Science Life Science Mathematics Medical Sciences Chemistry Civil engineering Physics Psychology Social Science Teaching/Academics Technology Veterinary medicine

Description

As a service design-focused Data Scientist working on Universal Credit, you will own projects that turn data into insights and recommendations that directly impact the design and development of its digital service. As the Universal Credit service grows and develops, it will scale to provide services to 7 million claimants whilst being used daily by thousands of DWP employees and third parties at service and job centres across the country.

You will need to be a self-starter who is motivated by using impactful and creative applications of data science to deliver against user needs. The Department as a whole is undergoing a major digital transformation programme and data science is recognised as having a critical role to play; not only in the better design of our services, but also making them more personalised for each individual’s circumstances and making big shifts in our effectiveness and efficiency.

As a Service Design specialist you will be responsible for studying user behaviour, strategic initiatives, and new product features to bring data-driven insights and recommendations into every decision we make. Above all, your work will directly impact the way the Universal Credit digital service is designed, developed and delivered.

Responsibilities

The roles and responsibilities for this position include, but are not restricted to :

SEO
  • Own specific data science ‘projects’ (e.g. experiments or new capability) which includes identifying a specific business need, data gathering, requirements specification, determining the best tools, data and techniques to address it, execute analysis, ongoing deliverables and presentations;
  • Engage with cross-functional digital teams of product owners, business analysts, user researchers, designers and developers to elicit the underlying causes of business problems and inefficiencies and support their design objectives with insights;
  • Use a range of coding practices to build scalable data products for a range of users within a technology context (e.g. big data, unstructured, cloud). Use Agile techniques and work as part of a delivery team;
  • Prototype and/or iterate existing solutions such as:
    • Data analytics that find potential opportunities or problem behaviours previously unknown or unquantified;
    • Rapid prototypes of data-driven tools that test hypotheses with stakeholders and end users;
    • Create and validate machine learning models that can be deployed within digital applications;
  • Share key findings with a range of technical and non-technical stakeholders, utilising interactive visualisation techniques effectively;
  • Keep abreast of Data Science wider landscape and emerging technologies across Government and industry in order to help make DWP a leader in the Digital space;
  • Actively participate in the wider capability development of Data Science in DWP through aspects such as code sharing or ‘show and tells’ (via collaboration tools or presentations);
  • Understand the ethical considerations of potential data science approaches, and the legislation applicable in this area, i.e. GDPR, DPA etc. Aware of existing Government and other frameworks, and ensure work adheres to key privacy, security and data protection principles.
HEO
  • Support the delivery of analytics or software projects produced by Data Scientists or Data Analysts
  • Provide support to specific projects or individual pieces of work under direction of the product owner
  • Use a range of coding practices to build scalable data products for a range of users within a technology context (e.g. big data, unstructured, cloud)
  • Provide support into the research and evaluation of new tools and techniques
  • Have responsibility for the maintenance of a catalogue of data exploitation products
  • Supporting the growth of the team, by keeping abreast of market and industry trends and sharing knowledge and experience with the rest of the team
  • Helping to facilitate communication of technical findings, models, and insights to different technical and non-technical audiences

Behaviours

We'll assess you against these behaviours during the selection process:

  • Seeing the Big Picture
  • Changing and Improving
  • Delivering at Pace

Technical skills

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

  • Data Analysis & Synthesis

Benefits

  • Learning and development tailored to your role
  • An environment with flexible working options
  • A culture encouraging inclusion and diversity
  • An employer pension contribution of up to 27%
  • A generous annual leave allowance
Salary Information

The HEO salary for this role is from £35,754 to £38,045.
Where the maximum salary is offered a digital allowance up to £32 is available.

The SEO salary for this role is from £38,982 to £43,920.
Where the maximum salary is offered a digital allowance up to £7018 is available.

Our total offer to successful candidates will be based on an assessment of your skills and experience as demonstrated at interview.

Existing Civil Servants who secure a new role on lateral transfer should maintain their current salary.

Existing Civil Servants who gain promotion may move to the bottom of the next grade pay scale or 10% increase in salary whichever would be the greater. Only in very few circumstances (where there have been exceptional skills demonstrated which are in limited supply for example) may existing Civil Servants be

Experience level of the applicant we want

Some work experience, Graduate