Data Scientist

Quantium is a world leader in data science and artificial intelligence. Established in Australia in 2002, Quantium is a global team of more than 1,100 people across 14 locations with a unique blend of capabilities across product and consulting services to help businesses unlock value from data and analytics. Quantium partners with the world s leading organisations, as we forge a better, more insightful world.

Role Summary

The Data Scientist is a technical role that delivers high quality end-to-end analytical support across multiple projects and industry practices within Retail vertical from India. The role of the Data Scientist is to work with internal stakeholders and the wider team to transform client questions and issues into analytical solutions.

Key responsibilities

• Deliver high quality analytics, from data quality assessment, data manipulation, method selection, design application, insights generation and visualisation
• Strong ability to perform data exploration / investigation and write / test efficient code for data transformations
• Able to communicate and translate business needs against analytics solutions or outcomes
• Intensive learning and acquisition of key analytical, technical and commercial skills and Quantium business knowledge to become a proficient Data Scientist working under minimal supervision
• Often in collaboration with your internal stakeholders, you will transform client questions and problems into analytical solutions
• Nurture and manage your career progression and industry knowledge

Experience and education required

• Approximately 3+ years experience in a highly technical analytics environment, carrying out data analytics or data science work
  • Strong coding experience in SQL or Python or R
  • Experience in working with large datasets to solving commercial business problems (customer-level and/or sales transaction-level datasets preferred)
  • Experience in FMCG/CPG or Retail industry (preferred)
• Experience working with version control software such as GIT
• Knowledge of technical analytics discipline, including data preparation and foundational analytics concepts
• Experience with successfully managing both internal and external stakeholders, delivering against projects, tasks and activities in a dynamic deadline driven environment
• Experience working with other Data Scientists would be preferred. A lot of the work we do is part of the larger solution, so being able to work with considerations for the team is important
• Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline

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