Data Scientist at Dept of Health and Social Care, Remote, 6 Months, £Contract Rate

  • Contract Spy
  • Remote (United Kingdom)
  • Sep 10, 2021
6 Months or more

Contract Description

Data ScientistInside IR35

Contract Term: 6 Months

Contracting Authority: DHSC

Location: Remote

Imagine having a talent that could benefit someone you’ve never met and solve problems you didn’t even know existed. Well, you do, and you can. And we’re here to help you do just that. At PSR we are the go-to place for talented contractors and temps for a rich variety of public sector roles.

As a Data Scientist your main responsibilities would be: 

Understanding and experience in applying statistics and data science techniques to real world problems
Ability to work at pace to deadlines across multiple projects
Ability to effectively communicate the results of analysis to senior stakeholders and decision makers
Strong understanding and experience in applying statistics and data science techniques to real world problems
Strong experience with Python, SQL, Spark, AWS and/or R for Data Science including the core scientific Python stack (pandas, numpy, matplotlib etc) and/or R stack (ggplot2, tidyverse etc)
Experience cleaning data for machine learning projects
Ability to write functions and understandable object orientated code
Understanding of software best practice, including confident use of version control using platforms such as Github

You’ll have relevant experience in:

Experience with publishing data sets for visualisation and analysis
Experience with supporting design of data models / data flows
Experienced working in Agile teams
A technical background in Microsoft SQL Databases, Microsoft Reporting Tools (SSRS, PowerBI) and Microsoft data extraction methods (SSIS).

You will also have these Qualifications/Skills:

Experience of working with JIRA (or Azure DevOps or similar tools) within an Agile/Scrum environment
Experience/understanding of product lifecycle management
Applied maths, statistics, and scientific practices
Understanding of how algorithms are designed, optimised and applied at scale
Working with cloud-based platforms (we use AWS, Azure and Databricks)
Experience with computational statistics tools and / or Machine Learning frameworks such as PyTorch and TensorFlow
Exposure to graph analytics tools (we use NetworkX and GraphX)

Exposure to Dashboarding tools (ideally Power BI or Qlik)