#ACN GN - SONG - MT New - Sr Data Scientist - Manager

Job Title – Data Scientist + Level 8 (Associate Manager) + Entity (S&C GN – SONG (Data & AI))Management Level: Level 8 – Associate ManagerLocation Preference: Mumbai / BangaloreMust have skills:Advanced Analytics, Data Science, Machine Learning, Python / R / SQL, Statistical Modelling, Key analytical techniques, e.g. regression, clustering, decision trees, machine learning, text mining etc.Good to have skills:Econometrics, Measurement Science, Spark / Scala / Hive, Retail Media Analytics, Agile DeliveryJob SummaryAccenture Strategy & Consulting is seeking a Data Scientist to develop analytical models and insights that optimize retail media campaign performance and advertiser outcomes. This role sits within the Industrial & Resources practice and focuses on designing, delivering, and scaling advanced analytics solutions across complex commercial environments, enabling data-driven decisions through rigorous modelling, stakeholder collaboration, and continuous innovation.Roles & Responsibilities

• Shape the Analytics Centre of Excellence: Help define and implement the advanced analytics roadmap. Share knowledge and experience across the team and train and develop junior team members to build overall capability.
• Drive Stakeholder Collaboration & Prioritisation: Collaborate with stakeholders across Analytics, Commercial, and Technology streams to deliver solutions to key business problems. Prioritise analytics projects in line with overall business objectives and serve as a trusted advisor by cultivating strong stakeholder relationships.
• Lead End-to-End Delivery: Design and implement new algorithms to meet business needs. Lead analytics projects to ensure on-time, high-quality delivery in accordance with agile project methodology.
• Integrate Analytics into Commercial Execution: Develop processes that streamline the integration of analytical outputs into campaign implementations, enabling efficient and measurable commercial outcomes.
• Drive Analytical Innovation: Source, develop, and apply new and existing analytical methods and techniques. Monitor industry practices to keep the team at the forefront of analytics capability and ensure key stakeholders understand the commercial impact of analytical findings.
• Contribute to Data & Analytics Architecture: Participate in the development of the vision for data and analytics architecture, ensuring solutions are scalable, sustainable, and aligned to long-term business needs.Professional & Technical Skills
• Analytics professional with a proven track record of 4+ years in advanced analytics and data science, including designing and delivering end-to-end analytical solutions.
• Proficiency in key analytical techniques including regression, clustering, decision trees, machine learning, and text mining.
• Hands-on experience with analytical tools and programming languages including Python, R, SQL, Scala, Hive, Spark, SAS, and Excel.