Operations jobs in India

The role requires expertise in managing legal contracts, negotiations, and risk mitigation in the transport and distribution industry.

This position is based in Mumbai and involves providing legal support for third-party logistics operations.

The role of Real Estate Legal involves providing expert legal advice and support for real estate matters within the transport and distribution industry. Based in Mumbai, you will play a key role in ensuring compliance and managing legal aspects related to third-party logistics operations.

This opportunity is with leading MNC in the retail space. The Finance Director will oversee finance and operations PAN India, and will collaborate with the Commercial Head on various strategic projects

The Head HR will oversee all human resource operations and ensure they align with the organisation's goals within the industrial manufacturing sector. This role requires expertise in Employee Relations, Industrial Relations, Compliance and Organization Development.

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 Corporate Gifting Manager will play a key role in managing and expanding corporate gifting operations within the retail industry, specifically in the fashion and apparel sector. This role requires expertise in client relationship management and delivering tailored gifting solutions.

Medical Coding Operations, P&L Management

Location: Hyderabad | Role: Associate Director / Director - Medical Coding

This role leads engineering operations at a chemical manufacturing cluster, overseeing preventive maintenance, utilities, and brownfield project execution to ensure high plant uptime and compliance. It requires expertise in mechanical systems, team leadership, SAP-based planning, and regulatory standards in a safety-critical environment.

The AGM/GM - Merchandising is responsible for developing and executing the merchandising strategy that maximizes sales, profitability, and customer satisfaction. This leadership role involves close collaboration with buying, planning, marketing, product, and retail operations teams to ensure a cohesive and data-driven approach to product assortment, pricing, and inventory management.

The Accounts & MIS Head will lead accounting, MIS, costing, and ERP automation for India operations. This accounting-heavy leadership role demands expertise in statutory finance, costing, and audit management, with a preference for candidates experienced in working with Big 4 auditors, and will be based in Coimbatore.

**1. Job Summary:**
The Payroll Manager will oversee payroll operations, ensuring compliance with statutory requirements and accuracy in processing for the organisation. This role in the FMCG industry requires expertise in payroll systems and a strong understanding of financial regulations.

The Cost Controller will be responsible for monitoring and managing costs to ensure efficient financial operations within the organisation. This role in the manufacturing industry requires expertise in cost analysis, budgeting, and financial reporting.

The GM - Finance will lead financial operations, ensuring compliance, strategic planning, and decision-making to drive business performance. This role in the infrastructure industry requires expertise in accounting and finance, with a focus on leadership and operational efficiency.

• Configured and commissioned SCADA/EMS software systems for renewable energy projects, ensuring stable operation and promptly resolving customer-reported issues. Responsibilities included problem investigation, troubleshooting, software upgrades, and configuration changes.
• Addressed customer feedback and requirements by coordinating with relevant stakeholders to provide effective resolutions.

The Head Legal will oversee all legal operations, ensuring compliance and mitigating risks in the Product and Technology sector. This role requires expertise in legal strategy, contract management, and regulatory frameworks to support business objectives effectively.

The role of Finance Controller in the technology industry is ideal for a detail-oriented professional with expertise in accounting and finance. Based in Thane, this position involves managing financial operations and ensuring compliance with industry standards.

a proactive, detail-oriented professional to oversee the operations of the India office. This position will begin as a hybrid/remote role until a physical office is established. The individual will provide administrative support to the office and one Operating Partner (with additional team members expected over time)

This is an excellent opportunity lead data-driven decision-making within the manufacturing industry. The role is based in Mumbai and focuses on leveraging business intelligence to enhance accounting and finance operations.

The CEO will lead the overall strategy, operations, and growth of the organisation in the manufacturing industry, ensuring long-term success and profitability. This role requires strong leadership skills to drive organisational goals and maintain a competitive edge in the industrial sector.

The GPMO role focuses on overseeing and managing global project management operations, ensuring alignment with business strategies. This position in Chennai requires expertise in project management methodologies, strong leadership skills, and certifications in SAP Activate and PMP.

Opportunity for a Finance Head to lead the financial strategy and operations in the business services industry. The role demands a strong background in business finance and partnering, strategic planning, and building operational efficiency ground up.

The Senior Manager - HR will serve as the primary HR lead for Bangalore operations while also overseeing HR activities in Noida. Reporting directly to the Corporate VP of Human Resources, this role partners closely with business leaders, operations teams, and the global HR function to align the employee lifecycle with the strategic goals of the organization. The incumbent will drive talent strategies, foster a high-performance culture, ensure compliance, and manage a small team to deliver an exceptional employee experience.

CYBER DEFENSE CENTERDetection & Response

• Is responsible for managing all Monitoring and Security Operations Center (SOC) as well as CSIRT (Computer Security Incident Response Team).
• Ensure security events of all critical applications are properly collected by SIEM.
• Ensure security incidents are identified in a timely manner and properly managed.
• Oversee incident response plan and ensure its alignment with business resilience plan, disaster recovery and business impact analysis.
• Collaborate with Group Head of Cyber-resilience to support the disaster recovery plan, as well as the crisis management

Threat Intelligence & Vulnerability Management

o Collecting detailed, actionable threat information for preventing and fighting cybersecurity threats targeting an organization.

o Ensure performance of proper threat monitoring to identify threat impacting l'Oréal and ensure proper communication to impacted teams.

o Ensure vulnerabilities are identified, monitored and perform remediation follow-up. Ensure efficiency of the security scanning and code reviews of applications.Fraud Management

• Provide security services to enhance the protection of brand in the digital space

Offensive security

• Provide ethical hacker and red teaming capabilities for the whole group.
• Provide guidance's regarding Penetration testing and red teaming activities.
• Ensure follow-up of all ethical hacking activities at Group level.

The Head - Administration, Facilities & Wellness will play a critical leadership role in managing administrative operations, workplace infrastructure, and employee well-being across the organization.

The Business Head will oversee the B2C and B2B operations for the company within the Home, retail and corporate sector for fire safety products. The role demands strategic sales leadership, market expansion, and operational excellence in the industrial and manufacturing sector.

We are seeking a dynamic and experienced Procurement Transformation Manager to lead strategic initiatives aimed at modernizing procurement operations. The role involves driving digital transformation, optimizing processes, and building capability across procurement functions.

Qualifications

⎯ Bachelor's degree in Computer Engineering, Computer Science or related discipline, Master's Degree preferred.

⎯ 3+ years of ETL design, development, and performance tuning using ETL tools such as SSIS/ADF in a multi-dimensional Data Warehousing environment.

⎯ 3+ years of experience with setting up and operating data pipelines using Python or SQL

⎯ 3+ years of advanced SQL Programming: PL/SQL, T-SQL

⎯ 3+ years of experience working with Snowflake, including Snowflake SQL, data modeling, and performance optimization.

⎯ Strong hands-on experience with cloud data platforms such as Azure Synapse and Snowflake for building data pipelines and analytics workloads. ⎯ 3+ years of strong and extensive hands-on experience in Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, Data Warehouse and Big Data

⎯ 3+ years of experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Databricks/Spark, Azure SQL DW/Synapse, and Azure functions.

⎯ 3+ years of experience in defining and enabling data quality standards for auditing, and monitoring.

⎯ Strong analytical abilities and a strong intellectual curiosity.

⎯ In-depth knowledge of relational database design, data warehousing and dimensional data modeling concepts

⎯ Understanding of REST and good API design.

⎯ Strong collaboration, teamwork skills, excellent written and verbal communications skills.

⎯ Self-starter and motivated with ability to work in a fast-paced development environment.

⎯ Agile experience highly desirable.

⎯ Proficiency in the development environment, including IDE, database server, GIT, Continuous Integration, unit-testing tool, and defect management tools.Preferred Skills:

* Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management).

* Strong working knowledge of Snowflake, including warehouse management, Snowflake SQL, and data sharing techniques.

* Experience building pipelines that source from or deliver data into Snowflake in combination with tools like ADF and Databricks.

* Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools.

* Strong Experience in ETL/ELT development, QA and operation/support process (RCA of production issues, Code/Data Fix Strategy, Monitoring and maintenance).

* Hands on experience in Databases like (Azure SQL DB, MySQL/, Cosmos DB etc.), File system (Blob Storage), Python/Unix shell Scripting.

* ADF, Databricks and Azure certification is a plus.

Lead and transform the quality standards for both guest and host operations, driving continuous improvement and operational excellence. Manage a team and implement strategic initiatives across US and Europe to elevate service quality and customer experience.

The Sales Head (South & West) will lead sales operations for the client, focusing on driving growth and market share in the assigned regions. This role requires strategic planning, team leadership, and the ability to deliver results in a fast-paced environment.

Job RequirementsEducation

* Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)

* Master's degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)Relevant Experience

* 5 - 7 years for Data Scientist

* Relevant working experience in a data science/advanced analytics roleBehavioural Skills

* Delivery Excellence

* Business disposition

* Social intelligence

* Innovation and agilityExperience

* Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)

* Statistical modelling using Analytical tools (R, Python, KNIME, etc.)

* Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)

* Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.

* Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)

* Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)

* Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)

* Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools

* Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)

* Microsoft Office applications (MS Excel, etc.)Roles & Responsibilities

Analytics & Strategy

1. Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business

2. Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data

3. Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions

4. Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional dataOperational Excellence

1. Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project

2. Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems

3. Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analysesStakeholder Engagement

1. Working collaboratively across multiple sets of stakeholders - Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables

2. Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats