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The role of the AI COO in the Analytics department involves overseeing and governing implementation of AI-driven strategies to enhance business operations. Operational Excellence frameworks, resource management, program management etc will be broader charter to achieve profitability.
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.
We are looking for an Associate Data Scientist to join our Analytics team. The ideal candidate will contribute to data-driven solutions, leveraging statistical models and machine learning techniques to solve complex problems
The Senior Data Scientist role in Chennai requires expertise in analytics to drive data-driven decisions within the transport and distribution industry. The ideal candidate will work on complex datasets to optimize operations and provide actionable insights.
Leverage artificial intelligence and machine learning to solve complex business problems across the insurance value chain.Design and implement AI solutions that create value in Operations, Risk, Underwriting & Claims, and Customer Service, while also evangelizing and shaping the organization's Generative AI strategy across these areas.
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 client is looking for a dynamic Head of AI to lead the development of our document tampering detection solution. You will design and deploy advanced AI/ML models to identify document manipulation and forgery, ensuring authenticity and combating fraud.
Data Scientist (IT)Position:Data ScientistJob type:Techno-FunctionalPreferred education qualifications:Bachelor/ Master's degree in Statistics, Operation Research, Computer Science, Data Science OR related quantitative fieldJob location:IndiaGeography:SAPMENARequired experience:6-8 YearsPreferred profile/ skills: § 5+ years in developing and implementing forecasting models§ [Mandatory] Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration)§ [Mandatory] Proven expertise in time series analysis, regression analysis, and other statistical modelling techniques§ [Mandatory] Experience in ML algorithms such as ARIMA, Prophet, Random Forests, and Gradient Boosting algorithms (XGBoost, LightGBM, CatBoost)§ [Mandatory] Experience in model explainability with Shapley plot and data drift detection metrics.§ [Mandatory] Strong programming & analysis skills with Python and SQL, including experience with relevant forecasting packages§ [Mandatory] Prior experience on Data Science & ML Engineering on Google Cloud§ [Mandatory] Proficiency in version control systems such as GitHub§ [Mandatory] Strong organizational capabilities; and ability to work in a matrix/ multidisciplinary team§ [Mandatory] Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audience§ Experience in Beauty or Retail/FMCG industry is preferred§ Experience in handling large volume of data (>100 GB)§ Experience in delivering AI-ML projects using Agile methodologies is preferred§ Proven ability to work proactively and independently to address product requirements and design optimal solutionsJob objectives:Design, develop, implement, and maintain data science and machine learning solutions to meet enterprise goals. Collaborate with cross-functional teams to leverage statistical modeling, machine learning, and data mining techniques to improve forecast accuracy and aid strategic decision-making across the organization. Scale the proven AI-ML Product across the SAPMENA region.Job description:§ Deep understanding of business/functional needs, problem statements and objectives/success criteria§ Develop and maintain sophisticated statistical forecasting models, incorporating factors such as seasonality, promotions, media, traffic and other economic indicators§ Collaborate with internal and external stakeholders including business, data scientists & product team to understand the business and product needs and translate them into actionable data-driven solutions§ Review MVP implementations, provide recommendations and ensure Data Science best practices and guidelines are followed§ Evaluate and compare the performance of different forecasting models, recommending optimal approaches for various business scenarios§ Analyze large and complex datasets to identify patterns, insights, and potential risks and opportunities§ Communicate forecasting results and insights to both technical and non-technical audiences through clear visualizations and presentations§ Stay up to date with the latest advancements in forecasting techniques and technologies, continuously seeking opportunities for improvement§ Contribute to the development of a robust data infrastructure for AI-ML solutions, ensuring data quality and accessibility§ Collaborate with other data scientists and engineers to build and deploy scalable AI-ML solutions
The mandate includes strategic transformation of retail operating model, partner ecosystems, tech and analyticsenablement, and team culture-while delivering best-in-class customer experience and footprint expansion across India.
We are seeking a skilled Data Analyst to join our team in Gautam Buddha Nagar. The ideal candidate will have expertise in analytics within the Technology & Telecoms and FinTech industries, ensuring data-driven decision-making.
The Head of Compensation & Benefits will design, implement, and steer the organisation's global compensation philosophy. The role requires deep expertise in reward strategy, modelling, analytics, and governance, with the ability to operate in a dynamic, high‑growth environment.
The Gen AI Consultant will be responsible for leveraging advanced analytics and artificial intelligence to drive innovative solutions in the energy and natural resources sector, focusing on renewable energy. This role requires expertise in analytics to solve complex business challenges and support decision-making processes.
This role requires an SAP/FICO PM to manage and optimise financial and controlling processes, specifically within the energy and natural resources industry. The position is based in Gurgaon & Pune and focuses on leveraging analytics to enhance operational efficiency in the power generation sector.
The role of an AI Expert in the Energy & Natural Resources industry focuses on developing and implementing AI-driven solutions to optimize renewable energy processes. You will contribute to enhancing data analytics capabilities within the Analytics department while working in Gurgaon.
Join as an AI Platform Engineer in the renewable energy sector, where you will be responsible for developing and maintaining advanced AI solutions. This permanent role is based in Gurgaon and offers a great opportunity to contribute to cutting-edge analytics in the energy and natural resources industry.
The Loyalty Manager will be responsible for developing and managing loyalty programs to enhance customer engagement and retention within the leisure, travel, and tourism industry. This role will involve analytics and strategic planning to drive customer loyalty and satisfaction.
This role leads end-to-end logistics and warehousing for retail, institutional, and e-commerce channels. You will design data-driven distribution strategies, drive WMS-led transformation, and optimize a national RDC and depot network. The position combines strategic analytics with hands-on leadership to deliver cost, service, and scalability outcomes.
The VP Strategy (F&A) role involves leading financial and strategic initiatives in a global analytics and digital solutions. This position requires expertise in financial transformation, strategy, and change management.
The role of a Data Architect in the Manufacturing Industry involves designing and managing data infrastructure to support business analytics and decision-making. The position requires expertise in data systems and a strong understanding of analytics within the industrial sector.
We are looking for a talented Senior Data Scientist/Data Scientist to join a leading team in the Financial Services industry, specifically within the Retail Banking & Loans Providers sector. The role is based in Bandra (East), Mumbai, and involves leveraging data analytics to drive business decisions and optimise operations.
The AI Program Manager will oversee and drive the development and implementation of artificial intelligence initiatives within the analytics department. This role requires expertise in managing AI projects and delivering innovative solutions in the business services industry.
The Head of Growth Marketing will play a critical role in driving customer acquisition, retention, and revenue growth within the edtech/ up-skilling industry. This position is ideal for a results-driven professional with a strong background in marketing strategies and analytics.
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.
This role focuses on leading CCaaS (Cloud Contact Center as a Service) transformation programs, designing and implementing omni-channel contact center solutions integrated with AI, automation, and analytics to enhance customer experience and agent efficiency. It requires expertise in cloud platforms (Amazon Connect, Genesys, NICECXOne), conversational AI, and complex integrations.
This role leads analytics and reporting to improve customer retention and bookings quality for a global SaaS organization. It involves building a high-performing team, operationalizing data processes, and delivering insights that drive strategic business decisions. The role is based in Hyderabad and requires expertise in financial strategy and reporting within the services domain.
This role involves leading a team that builds and maintains Python-based infrastructure critical to data analytics, storage, and services across the organization, with a strong focus on performance optimization using low-level programming and compilation techniques. The position also requires close collaboration with business teams to enhance workflows, along with responsibilities in people and project management.
Performance Marketing Manager will manage digital paid advertising across channels (Google, Meta, affiliates, native, social). The role focuses on campaign-specific results, driving acquisition while maintaining COA. Requires expertise in paid media, analytics, audience targeting, stakeholder & partner management to deliver strong lead generation and sales growth.
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