With nearly 40 years of industry experience, our vision is to be the leading provider of innovative and inspirational supply chain solutions which create economic and social prosperity.

We are seeking a skilled Data Scientist / Data Engineer to join our team. The ideal candidate will have experience in both data analytics and engineering and will work on a variety of projects that primarily involve public procurement contracts data.

You will be responsible for data analytics and data visualization, while as a Data Engineer, you will be responsible for building and maintaining data pipelines.

 Data Analytics & Visualisation

• Champion and enable data-driven decision making within BIP Solutions.
• Work with business stakeholders to find the right questions to ask of data.
• Perform ad-hoc analysis over SQL/NoSQL databases and application logs.
  • Run discovery analytics to identify new and innovative opportunities.
  • Analyse business datasets to extract actionable insights.
• Communicate complex analytics insights to business stakeholders.
• Design and implement self-service data analytics solutions (e.g. dashboards).
• Receive and respond to ad-hoc data analytics queries from the wider business.
• Liaise with the BiP Network team to provision infrastructure to support analytics workflows.

Data Engineering

• Build data pipelines to get the right data in the right place to support analytics & ML.
  • Datalake for ML training data, Logstash pipelines.
  • Collecting and logging in-app user interactions and content metadata.
• Transforming and cleaning data for use in downstream applications & analytics.
  • Normalising and linking of disparate/siloed data sets.
  • Post-processing of user interaction logs from applications.
• Measuring & monitoring data quality issues.
  • Define business metrics to capture data quality signals.
  • Data analytics dashboard for reporting field completion for contracts.

Skills & Experience

• Direct experience in a data engineering or data science role
• A working knowledge of the Python-based Data Science ecosystem.
• Proficiency with SQL (Oracle & MySQL), and NoSQL (MongoDB).
• Exposure to the Elastic Stack (Elastic, Logstash, and Kibana).
• Experience in designing visually appealing data analytics dashboards.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics or related fields; desirable but not essential

What’s on offer?

We are fortunate to have a fantastic office location at the heart of Pacific Quay and we continue to invest in creating a modern working environment with great views of the river.

• Competitive salary
• Contributory pension scheme
• Annual company performance bonus
• 22 days + 8 Bank Holidays (which increases with length of service)
• Birthday Off
• Health cash plan
• On-site parking
• Access to SSE Hydro Club
• Discount on Gym Membership
• Quarterly social nights and an annual awards night