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The Manager Data Science role in the Transport & Distribution industry involves leading analytics initiatives and delivering data-driven insights to optimize logistics operations. This position is based in Chennai and requires expertise in data science and analytics within the Third Party Logistics sector.
Day to day support the delivery of assurance work conducted by our auditors by providing in-depth and insightful analysis of available risk and business data, as well as helping develop the function's use of analytical tools across the entire range
This is a senior leadership role in the data science group, responsible for driving strategic analytics initiatives and nurturing a high-performing team. The position involves designing scalable solutions for complex business problems and managing client relationships at the C-suite level.
The Head Analytics & Data Science is responsible for defining and driving the end-to-end analytics and data science agenda for the Commercial Banking business. This leadership role owns business-critical analytics outcomes across credit, risk, growth, customer engagement, productivity, and portfolio management, ensuring that data-driven decisioning is embedded into core commercial banking processes at scale.
The Head of Data Sciences, Analytics and BI will be responsible for leading data-driven decision-making processes and enhancing business intelligence capabilities within the organization. This role requires expertise in analytics and a strong background in managing data science projects in the Transport & Distribution industry
Seeking a Data Science and Analytics Manager to lead a team of 10-15 talented data analysts and engineers. This role is central to driving strategic analytics initiatives across our global operations, with a strong focus on supply chain, manufacturing, and semiconductor equipment processes.
The Lead Data Scientist will lead the analytics department to drive data-driven decision-making and innovation within the organisation. This role requires expertise in data science, leadership, and a deep understanding of the technology and telecoms industry
We are looking for a highly skilled Data Science Product Manager to lead and optimize data-driven decision-making processes in the FMCG industry. This role is based in Mumbai and requires expertise in GenAI, Agentic, LLM, & MLOps .
The role of a Data Scientist involves leading advanced analytics projects and delivering data-driven insights to support decision-making processes. This position is ideal for candidates with a strong analytical mindset and expertise in data science methodologies within the financial services industry.
The role of the Data Platform & Governance Director - APAC is to lead APAC data platform strategy and data product governance, ensuring scalable, standardized, and cost-efficient data solutions aligned with global models and AI/Analytics priorities. They will oversee the full lifecycle of data products, drive alignment with global standards, and evaluate improvements with clear cost, risk, and impact trade-offs.
The role of a Data Analyst in the Semi-Conductor Industry involves analyzing data to support decision-making and improve operational efficiency. Based in Bengaluru Urban, this position requires strong analytical skills and a focus on delivering actionable insights.
We are partnering with a high-growth global SaaS organization that is experiencing rapid expansion across the APAC region. Southeast Asia and Australia/New Zealand are key drivers of this growth, and the company is seeking an experienced sales leader to spearhead regional expansion-driving awareness, adoption, and revenue across enterprise customers.
The role of Customer Operations in the financial services industry focuses on delivering exceptional customer service and operational support within private banking. The role owns operational execution, quality, productivity, and team capability, ensuring members experiencing financial difficulty receive fair, empathetic, and compliant outcomes at scale.
This role supports or leads financial due diligence work for U.S. and global private equity, corporate, and lender clients. It involves QoE, working capital, revenue/EBITDA analysis, carve‑outs, integration assessments, and preparation of high‑quality client deliverables.
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