IRL - Data Scientist & Data Visualisation Engineer

2 Separate roles

1. DATA SCIENTIST (SUPPLY CHAIN ANALYTICS)

2. DATA & VISUALISATION ENGINEER (SUPPLY CHAIN ANALYTICS)

Key Responsibilities:

• Perform data analysis on large data sets: analyse, clean, and summarise the data.

• Present data analysis results and write technical summaries to drive product quality and safety related discussions.

• Automate processes, develop dashboards and solutions to address business needs.

• Provide modelling support for the business using tools such as SIMCA.

• Sustain and improve complex workflows and Tableau visualisations for multiple customers.

• Communicate with customers to understand needs, develop data analytics proposals, and assure needs are met according to project timelines.

• Partner with the Business Units to expand the use of data analytics and predictive insights.

• Expand and deepen data analytics and visualisation skills on site using tools such as Tableau.

• Explore new data analytics solutions and innovative approaches to data opportunities through partnerships with stakeholders and connections with

• Enterprise data groups.

• Project management skills: manage multiple project timelines and deliver on customer needs.

• Prioritise work based on urgency and value, to deliver SCAN objectives.

Requirements:

• A Bachelor of Science degree in a technical or clinical field, Bachelor of Engineering or similar.

• Project Management (SCRUM, Agile, FPX, Waterfall).

• Knowledge of ongoing data engineering utilising Azure solution.

• Proven ability to analyse, clean, and summarise large data sets.

• Track record of leading projects to deployment stages.

• Ability to work individually or collaborate with cross-functional teams, as required.

• Good communication and influencing skills.

• Familiarity with SIMCA, Tableau, Python, R studio, JIRA all considered desirable.

• Familiarity with GxP requirements desirable.