Junior Data Scientist- BiP Solutions Glasgow G51 Graduate

Full time @Data Science Career in Data Science , in Data Scientist
  • Apply Before : March 29, 2024
  • 15 Application(s)
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Job Detail

  • Job ID 22003
  • Sector Data Science

Job Description

Celebrating our 40th Anniversary throughout 2024, BiP Solution’s vision is to be the leading provider of innovative and inspirational supply chain solutions which create economic and social prosperity.

As we continue to invest into the growth of our Product & Innovation function, we are seeking a junior Data Scientist to join our team.

This role would be well suited to a recent graduate, who has completed an Honours or Masters degree in data science (or similar). Ideally, you will have has exposure to some level of commercial experience but we will consider candidates purely on their academic experience, providing they can demonstrate a skill-set in both data analytics and engineering.

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

To set out the full opportunity and requirements for delivery in the role, we have outlined a detailed breakdown of what you will have exposure to in the role.

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

  • Proficiency in Programming languages(Python and SQL) – essential requirement of the role
  • Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms.
  • Knowledge of machine learning frameworks, like Keras or PyTorch.
  • Assist in the development of machine learning models for predictive and prescriptive analytics.
  • Collaboration with senior data scientists to implement and test algorithms.

In addition, you will have exposure to:

  • Creating visualizations to communicate complex data findings in a clear and concise manner.
  • Building your knowledge of how to clean and preprocess raw data to ensure its quality and suitability for analysis.
  • Developing your skillset to analyse large datasets to extract meaningful insights and identify trends.
  • Conducting exploratory data analysis to understand patterns and anomalies.
  • Creating visualizations to communicate complex data findings in a clear and concise manner.
  • Collaborating with other teams to present data-driven insights effectively.
  • Working closely with cross-functional teams to understand business requirements and goals.

It would be beneficial for the role if you understood:-

  • Elastic stack (ELK) which include Elastic Search, Logstash and Kibana for visualization .
  • REST API’s for data ingestion.

What’s on offer

  • 22 days + 8 Bank Holidays (which increases with length of service)
  • Additional Birthday Day Off
  • Quarterly Reward & Recognition; and Social Nights
  • Modern office environment with onsite parking
  • Flexible working environment
  • Simply Health Cash Plan
  • Peace of Mind Insurance Cover

This is a hybrid role; with the flexibility to combine spending time working from our Glasgow HQ and home working.

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