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Data Scientist

Job Title: Data Scientist
Contract Type: Contract
Location: England
Industry:
Salary: £18 - £20 per hour + Inside IR35
Start Date: July 2021
Reference: BBBH27332_1624023658
Contact Name: Zoe Latuszka
Contact Email: zoe.latuszka@talentinternational.com
Job Published: June 18, 2021 14:41

Job Description


Data Scientist

3 Months (Possible extension)

Client will put candidate through SC clearance.

Remote working.

£18-20 per hour. Inside IR35

SERVICE REQUIREMENT

This multi-disciplinary role to support the processing and analysis of the Census data; this involves data interrogation, the coding of functions that conduct statistical or data manipulation tasks, as well as the coding of data processing pipelines.

The team is truly multi disciplinary and you will be working with programmers and statistical analysts. The work is carried out in the Data Access Platform making use of the Spark libraries to process and analyse large datasets (Python and Spark are the main tools that are used in the team). The work will provide an opportunity to apply data science and data engineering techniques to produce timelier, more granular and more insightful statistics.

Although the work will need to be progressed in line with the operational schedule there will be opportunities to learn about the Census and the wider processing of social statistical data and this could involve moving to work on other projects relating to the transformation of social statistics.

TYPICAL ROLE RESPONSIBILITIES

  • Work with members of the team to fully understand the data requirements of other internal customers.
  • Develop specifications showing how those data needs can be met. These will include initial design documents and diagrams for data processing systems, considering the statistical or data processing methods that are needed for the task, as well as the design of the overall data model.
  • Contribute to Python libraries of statistical or data processing functions, ensuring that any functions are well unit tested.
  • Write Python code that will systemize the processing of data, based on initial design documents. This includes writing unit / integration tests and managing versions of code with Git.
  • Report on the progress of code changes and the impact upon data received by others.
  • Maintain and review documentation for statistical and data processing functions, as well as data processing pipelines.
  • Manage working relationships with stakeholders across Census Data Transformation, keeping people up to date on progress and highlighting any risks with projects.
  • Apply agile project management principles to managing projects and tasks on a day-to-day basis.


HEO

Communicating between the technical and the non-technical [Data
Engineering]
{Essential}

Able to effectively translate and accurately communicate across technical and nontechnical stakeholders as well as facilitating discussions within a multidisciplinary team, with potentially difficult dynamics. Able to advocate for the team externally and can manage differing perspectives.


Programming and build (data engineering) [Data
Engineering]
{Essential}

Uses agreed standards and tools to design, code, test, correct and document moderate to complex programs and scripts from agreed specifications and subsequent iterations. Collaborates with others to review specifications where appropriate.

Testing
[Data
Engineering]
{Essential}

Able to review requirements, specifications and define test conditions. Able to identify issues and risks associated with work whilst being able to analyse and report test activities and results.

Applied maths, statistics, and scientific practices [Data Science]
{Essential}

Understands and can help teams apply a range of practices. Develops deeper expertise on a narrower range of specialisms. Starts to apply emerging theory to practical situations.

Data engineering and manipulation [Data Science]
{Essential}

Can work with data engineers to map, produce, transform and test new data feeds for data owners and consumers, selecting the most appropriate tools and technologies. Can lead ad hoc data exploration in a wide variety of data serialisation and storage formats, from across the business, for data consumers.

Data science innovation [Data Science]
{Essential}

Displays strong intellectual curiosity and proactively explores areas of innovation in both government and industry. Can identify the business value for innovation within their organisation.


Developing data science capability
[Data Science]
{Essential}

Promotes and monitors continuous professional development within their organisation. Develops knowledge of cutting-edge techniques and shares knowledge. Propagates data science capability across the organisation.