Data Scientist Chelmsford, Essex £35,000 to £40,000

Data Scientist

Location: Chelmsford, Essex |
Salary: £35,000 to £40,000 |
Posted: 21 Jan 2019 |
Closes: 18 Mar 2019 |
Job Type: Permanent & Full-time |
Business Unit: UK Patient Transport Services |
Region / Division: UK & Ireland |
Reference: 7117

Role Responsibility:

Data Scientist - Patient Transport Services 

Chelmsford, Essex 

£35,000 to £40,000 per annum

Full Time - 40 hours per week


Job Outline:

You will join a small, growing team who are broadly responsible for reporting & analysis to support business in decision-making along with developing machine learning algorithm based bidding solution/tool for future requirement. The successful candidate will manage and automate all manual reports in SQL Server (relational database) using advanced SQL scripts. Integrate various open sources of data for seamless reporting and analysis. Perform data analysis, build predictive modelling etc. and publish business insights in the form of dashboards using Tableau/Power BI tool on a regular basis. Introduce various automated solutions for data cleansing, data quality, data transformation etc. using machine learning algorithms based solutions in the future.



  • Preparing and sharing various MI reports with key insights and visualisations to internal/external stakeholders through dashboard using Tableau/Power BI tool as per business agreed timelines
  • Automating various manual reports into SQL Server under SSRS targeting/ moving towards no manual reporting
  • Identifying various open sources of data, constantly integrating these sources for seamless automated MI reporting and constantly improving data quality
  • Creating new metrics and KPIs effectively guiding the business and deploying effective dashboards to surface them to senior leadership/management
  • Performing data analysis, hypothesis testing, bringing deep insights and building various predictive models in supporting business decision making
  • Providing informal direction and guidance to other team members on all aspects of analytics from business context and prioritization to technical coaching
  • Building and prototyping pipeline analysis iteratively to provide insights at scale. Developing comprehensive understanding of bidding data structures and metrics, advocating for changes where needed for bidding business strategy
  • Expanding MI reporting support to other business units within the organisation
  • Developing and constantly improving SSIS, SSAS and SSRS on a regular basis

The Ideal Candidate:

Essential Skills:

  • Min 1 year of commercial experience of relational database architectural understanding
  • Min 1 year of commercial experience of SQL and R or Python programming languages
  • Min 1 years of commercial experience in managing large data sets, data cleansing, data manipulation using programming languages like SQL and R or Python
  • Min 1 year of commercial experience in statistical analysis/hypothesis validation/ predictive data modelling etc.
  • Min 1 year of commercial experience in creating dashboards, analysing data, integrating data sources etc. using Tableau/Power BI tool
  • Min MSc degree in Data Science/Analytics/Big Data/Computer Science
  • Critical thinker, problem solver, challenging status quo and ability to question and validate data, empirical findings on an on-going basis. Ability to work through goals and problems independently

Desirable Skills:

  • Understanding of relevant industry regulations e.g. supply chain management, logistics, healthcare
  • Understanding of Cloud environments like AWS, Azure, BigQuery etc.
  • Understanding of Machine Learning and Artificial Intelligence
  • Collaborating experience within various teams/ departments for day today data requirements and business process understanding to automate and fix potential the gaps
  • Deploy technological solutions in all aspects of businesses and automate manual tasks to optimise overall productivity and performance

Safety is of paramount importance and the post holder must ensure that safe systems of work are followed without compromise. The post holder needs to be committed to maintaining high standards of customer care and service delivery that will include the responsibility of adequate safeguarding and prevent training and awareness and an understanding of reporting concerns to the line manager.

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