Position:
• Associate Data Scientist
• Entry level role focused on data analytics and applied data science
• Designed for fresh graduates and early career professionals
• Opportunity to work closely with business and technology teams
• Role supports retail analytics and decision making initiatives
Company:
• Anko GCC
• Global Capability Centre for Kmart Group Australia
• Supports Kmart, Target and Anko retail brands
• Operates as a technology and analytics hub
• Works closely with global stakeholders
Location:
• Bengaluru
• Karnataka
• India
• Major technology and analytics hub
• Hybrid working environment
Job type:
• Full time employment
• Permanent role
• Individual contributor position
• Day shift aligned with business needs
Job mode:
• Hybrid
• Combination of office based and remote work
• Collaboration with cross functional teams
• Flexibility balanced with business requirements
Job requisition id:
• 20251201
Years of experience:
• Freshers encouraged to apply
• Suitable for candidates with 0 to 3 years exposure
• Academic or internship experience considered
• No mandatory industry experience required
Company description
• Anko GCC functions as the global capability centre for Kmart Group Australia
• It plays a central role in supporting well known Australian retail brands such as Kmart, Target and Anko
• The organization was created to build strong internal capabilities across technology, data sciences and business services
• Based in Bengaluru, the centre supports global operations while enabling innovation and operational efficiency
• The company focuses on improving customer experience across physical stores and digital platforms
• Data driven decision making forms the foundation of most strategic initiatives
• Teams work on real world retail challenges involving large scale data
• The organization collaborates closely with business leaders across geographies
• Continuous learning and upskilling are strongly encouraged
• Employees are provided exposure to modern tools, platforms and analytical practices
• Anko GCC promotes a culture of inclusion and belonging
• Diversity across backgrounds, education and perspectives is actively supported
• The company aims to create safe and respectful work environments
• Recruitment processes are designed to be accessible to all applicants
• The organization values ethical conduct, teamwork and accountability
• Employees are encouraged to contribute ideas and take ownership
• Career growth paths are structured and supported through mentoring
• The company invests in long term capability building rather than short term outcomes
• Anko GCC continues to expand its analytics and data science footprint
• The organization aligns technology innovation with business impact
Profile overview
• The Associate Data Scientist role is designed for individuals starting their journey in data science
• The role focuses on applying statistical thinking to real business problems
• Candidates will work with structured datasets from retail and operational systems
• Responsibilities include data preparation, analysis and insight generation
• The role supports senior data scientists and analytics leaders
• Exposure to end to end analytics workflows is provided
• Candidates will learn how data is used in large retail organizations
• The role requires curiosity and willingness to learn new concepts
• Problem solving skills are developed through hands on projects
• Collaboration with stakeholders from different functions is common
• The position encourages structured thinking and clear communication
• Candidates will contribute to dashboards, reports and analytical models
• The role builds a foundation in statistics, programming and data handling
• Exposure to experimentation and hypothesis testing is included
• Candidates will gain experience working with real time business questions
• The position supports career growth into advanced analytics roles
• Feedback and guidance are provided regularly
• The role emphasizes accuracy, ethics and responsible data usage
• Candidates learn to translate data findings into business insights
• This role serves as a strong starting point for a data science career
Qualifications
• Basic understanding of statistical concepts
• Familiarity with probability concepts
• Awareness of hypothesis testing methods
• Understanding of data handling and preprocessing techniques
• Knowledge of Python programming fundamentals
• Ability to write simple scripts for data analysis
• Exposure to libraries used for data manipulation
• Understanding of SQL for data extraction
• Ability to write basic queries for filtering and aggregation
• Familiarity with relational databases
• Awareness of data cleaning practices
• Exposure to analytical thinking through coursework or projects
• Ability to interpret numerical results
• Basic understanding of descriptive statistics
• Familiarity with spreadsheets and data tables
• Willingness to learn advanced analytics concepts
• Academic background in engineering, science, mathematics or related fields
• Internship or project experience in data analytics is beneficial
• Strong logical reasoning skills
• Good communication and documentation abilities
Additional info
• The organization promotes a strong sense of belonging
• Equal opportunity employment practices are followed
• Inclusive hiring is actively encouraged
• Safe and respectful work environments are prioritized
• Employees are valued for their contributions
• Learning and development opportunities are provided
• Internal mobility across roles and teams is supported
• Performance feedback is continuous and constructive
• Collaboration is encouraged across functions
• Employees are exposed to global retail use cases
• Work culture supports long term career growth
• Ethical data practices are emphasized
• Employees are encouraged to ask questions and seek clarity
• Teamwork and mutual respect are core values
• The organization supports community engagement initiatives
• Work life balance is respected within business constraints
• Employees receive exposure to modern analytics tools
• Career progression paths are clearly defined
• Managers focus on coaching and mentoring
• The organization continues to expand its analytics capabilities
Please click here to apply.

