Operations jobs in India

The Regional Business Manager (RBM) will oversee sales operations, drive revenue growth, and manage client relationships in Andhra Pradesh, Telangana, and Karnataka. This role is ideal for a sales professional with experience in the petfood / FMCG / pharma industries, looking to advance their career in a leadership position.

The Head of Finance will oversee all financial operations, ensuring the effective management of budgets, financial reporting, and compliance within the property and building & construction industries. This role requires a strategic thinker with expertise in accounting and finance to drive business growth in Mumbai.

The Controlling department is responsible for overseeing financial planning, budgeting, forecasting, performance analysis, and internal financial controls. This role ensures efficient operations, sound financial management, and compliance with corporate standards, supporting the organization in achieving its financial objectives.

The Executive Assistant (UK Shift) will provide high-level administrative support, ensuring smooth day-to-day operations within the secretarial and business support department. This role is ideal for someone with a proven ability to manage schedules, coordinate meetings, and maintain confidentiality in the financial services industry.

The National Wholesale Manager will lead and manage wholesale operations within the retail jewellery and accessories industry, ensuring sales growth and maintaining strong relationships with partners. Based in Delhi, this role involves driving business strategies and overseeing the performance of the wholesale team.

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.

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.

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.

Pharma Services vertical with full P&L responsibility, driving business growth, client partnerships, and execution of large-scale patient support programs across India. It requires strategic leadership, strong pharma B2B experience, and the ability to manage cross-functional teams and nationwide operations.

We're hiring for an Opex Procurement professional to manage end-to-end sourcing and cost optimization for warehouse and dark store operations. This role sits at the core of operational efficiency and directly impacts service quality and margins. You'll work closely with supply chain, finance, and vendor partners to drive procurement excellence at scale.

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 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.

Seasoned commercial and operational leader with proven expertise in managing P&L, scaling multi-site healthcare operations, and integrating clinical services with product distribution to drive efficiency, compliance, and customer value. Adept at leading cross-functional teams, executing strategic growth initiatives, and building strong vendor partnerships to support scalable, high-quality, and cost-effective business expansion.

Job Responsibilities:
Design, implement, and maintain robust and scalable CI/CD pipelines.
* Implement and maintain infrastructure as code (IaC) for CI/CD environments.
* Automate build, test, and deployment processes using industry-standard tools and best practices.
* Develop and maintain pipeline scripts for Jenkins using Groovy and Java.
* Maintain and develop tools used in the development infrastructure.
* Evaluate software updates and ensure version changes do not impact existing functionality.
* Consulting of application developers on the usage of the development environment and to troubleshoot and resolve issues related to CI/CD pipelines.
* Collaborate with development, QA, and operations teams to ensure smooth and efficient software releases.
* Monitor and optimize pipeline performance and reliability.
* Develop and maintain scripts and tools for automation tasks.
* Research and evaluate new CI/CD technologies and tools.
* Contribute to the improvement of our DevOps practices and processes.
* Document CI/CD processes and configurations.
* Ensure security best practices are implemented throughout the CI/CD pipeline.
SKILLS REQUIRED
* Strong know-how in Jenkins with experience in Groovy and Java.
* In-depth understanding of DevSecOps.
* Extensive hands-on experience in using git.
* Gitlab, Jenkins, Artifactory, SonarQube and Pact are your favourite friends.
* You know Docker, Podman and Kubernetes, preferably in conjunction with AWS.
* You are familiar with bash scripting and have a basic knowledge of HTTP.
* Independent and proactive way of working.
* Service-oriented and responsible - your contributions to the system can have very big impact.

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.

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

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