Retail jobs in India

An exciting opportunity for a strategic HR leader in a rapidly scaling, tech-driven platform operating across e-commerce, retail, supply chain, and gig workforce models. The HR Head will partner with founders and senior leadership to build and execute scalable HR strategies-encompassing talent acquisition, performance management, culture, compliance, and HR technology-while bringing strong business acumen and coaching expertise

The Design Head will lead and oversee the creative development of jewellery collections, ensuring they meet market trends and customer preferences. This role requires a strong background in jewellery design and a strategic approach to product innovation.

Hiring for a PE-Backed Portfolio Company - a cloud-first, omnichannel retail ERP suite provider headquartered in Gurgaon.

The role of Corporate Affairs within the retail industry involves advocating for organisational interests while building strong relationships with key stakeholders. This position is ideal for someone with experience in policy and interest in the homewares and DIY sector.

The role of Corporate Affairs Manager West involves shaping and implementing policies to support the organization's objectives. This position requires expertise in policy development, government relations and effective engagement with stakeholders.

The Public Relations Manager will play a crucial role in managing public relations strategies and campaigns to elevate brand visibility in the fashion industry. This position requires a sharp understanding of media relations, event coordination, and brand storytelling within the retail sector. Must have experience working in the lifestyle/Fashion/Personal Care industry.

The VP Corporate Development will oversee Investor Relations, Strategic initiatives, and Fund raising in the Retail domain.

• The GL Accounting Lead will play a pivotal role in overseeing general ledger operations of APAC and EMEA regions, ensuring accurate financial reporting, and leading process improvements.
• This position is ideal for individuals with strong technical expertise (GL Accounting) in accounting and a proactive approach to problem-solving.

To drive full funnel growth and 10X scale through Performance and Channel marketing, backed by deep analytics and conversion optimization. To own end to end budget strategy to maximize ROI and accelerate business impact

The KAM North (Off Trade) will lead the development of strategic relationships with key retail and wholesale accounts in the alcoholic beverages sector, ensuring market presence and volume growth across North India. This role combines sales execution with strategic thinking, offering a unique opportunity to influence on-ground performance for some of the industry's most exciting brands.

The VP Talent Acquisition role reports into the Head of TA for a key private sector bank in India. The role involves leading recruitment strategies and processes to attract top-tier talent for retail banking and loans providers. The position is based in Mumbai and requires expertise in talent acquisition and human resources management.

Source, evaluate and execute investment opportunities in the consumer retail space

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

This opportunity is for a seasoned business leader looking to bring their expertise to a large organization in the Retail Automotive industry. The COO will be responsible for strategic planning, operational execution, and leading a diverse team towards shared objectives.

An excellent opportunity for a detail-oriented Internal Auditor to join a leading technology and telecoms organisation, based in Gurugram. The successful candidate will play a key role in improving the company's operations by maintaining a systematic, disciplined approach to risk management, control, and governance processes.

The Project Manager will be responsible for planning, executing, and overseeing projects to ensure they are completed on time, within budget, and meet the quality standards of the organisation. This role involves coordinating with cross-functional teams, managing resources, and driving the successful delivery of projects while ensuring alignment with strategic goals.

You will be responsible for increasing service conversion rates by collaborating with the team to drive sales through up-selling, cross-selling, and targeting leads, walk-ins, and existing customers. Additionally, you'll work on expanding the brand's local presence by acquiring referrals, boosting awareness, and developing strategies to enhance overall service revenue performance.

 Collaborate with solution architect, data engineers, business stakeholders, business analysts, and DQ testers to ensure data management and data governance framework is defined as critical components.
 Design and develop data models using industry-standard modeling techniques and tools.

Position:

ML EngineerJob type:

Techno-FunctionalPreferred education qualifications:

Bachelor/ Master's degree in computer science, Data Science, Machine Learning OR related technical degreeJob location:

IndiaGeography:

SAPMENARequired experience:

6-8 YearsPreferred profile/ skills:

• 5+ years in developing and deploying enterprise-scale ML solutions
• [Mandatory] Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration),
• [Mandatory] Proficiency in Data Science/ML algorithms such as regression, classification, clustering, decision trees, random forest, gradient boosting, recommendation, dimensionality reduction
• [Mandatory] Experience in ML algorithms such as ARIMA, Prophet, Random Forests, and Gradient Boosting algorithms (XGBoost, LightGBM, CatBoost)
• [Mandatory] Prior experience on MLOps with Kubeflow or TFX
• [Mandatory] Experience in model explainability with Shapley plot and data drift detection metrics.
• [Mandatory] Advanced programming skills with Python and SQL
• [Mandatory] Prior experience on building scalable ML pipelines & deploying ML models on Google Cloud
• [Mandatory] Proven expertise in ML pipeline optimization and monitoring the model's performance over time
• [Mandatory] Proficiency in version control systems such as GitHub
• Experience with feature engineering optimization and ML model fine tuning is preferred
• Google Cloud Machine Learning certifications will be a big plus
• Experience in Beauty or Retail/FMCG industry is preferred
• Experience in training with large volume of data (>100 GB)
• Experience in delivering AI-ML projects using Agile methodologies is preferred
• Proven ability to effectively communicate technical concepts and results to technical & business audiences in a comprehensive manner
• Proven ability to work proactively and independently to address product requirements and design optimal solutions
• Fluency in English, strong communication and organizational capabilities; and ability to work in a matrix/ multidisciplinary team

Job objectives:

Design, develop, deploy, and maintain data science and machine learning solutions to meet enterprise goals. Collaborate with product managers, data scientists & analysts to identify innovative & optimal machine learning solutions that leverage data to meet business goals. Contribute to development, rollout and onboarding of data scientists and ML use-cases to enterprise wide MLOps framework. Scale the proven ML use-cases across the SAPMENA region. Be responsible for optimal ML costs.Job description:

• Deep understanding of business/functional needs, problem statements and objectives/success criteria
• Collaborate with internal and external stakeholders including business, data scientists, project and partners teams in translating business and functional needs into ML problem statements and specific deliverables
• Develop best-fit end-to-end ML solutions including but not limited to algorithms, models, pipelines, training, inference, testing, performance tuning, deployments
• Review MVP implementations, provide recommendations and ensure ML best practices and guidelines are followed
• Act as 'Owner' of end-to-end machine learning systems and their scaling
• Translate machine learning algorithms into production-level code with distributed training, custom containers and optimal model serving
• Industrialize end-to-end MLOps life cycle management activities including model registry, pipelines, experiments, feature store, CI-CD-CT-CE with Kubeflow/TFX
• Accountable for creating, monitoring drifts leveraging continuous evaluation tools and optimizing performance and overall costs
• Evaluate, establish guidelines, and lead transformation with emerging technologies and practices for Data Science, ML, MLOps, Data Ops

This role requires a Sports Marketing professional who is passionate about the footwear industry The ideal candidate should be versed in creating and executing marketing strategies that amplify the brand's presence and engage consumers.

Legal Candidates with 8 + years of experience in fashion and beauty, retail, E-commerce background in handling end to end commercial contracts, Policy advisory, Stakeholder management etc should apply

We are seeking a CXO to lead our Technology & Product department. This role requires a skilled professional who can spearhead our technology initiatives and drive our business forward.

8+ years in managing and scaling marketplace channels (Amazon, Flipkart, Nykaa, etc.)

The Centre of Excellence Lead for Controllership is responsible for establishing, leading, and managing the Controllership CoE to drive standardization, compliance, efficiency, and best practices across financial reporting, accounting operations, and internal controls. This role will work closely with global and regional finance teams to ensure accurate, timely, and compliant financial processes.

Our client is seeking an experienced Development Lead to manage the product development and commercialization of sports footwear and sneakers. You'll oversee the entire lifecycle from design to market launch, ensuring high-quality and innovative products.

Data Scientist support team and Global operations. The ideal candidate will be responsible for developing and maintaining dashboards, analysing data patterns, and forecasting business trends to drive data-based decision-making.

We are seeking a Marketing Head with a keen interest in the automotive retail industry. The ideal candidate is passionate about creating and implementing innovative digital marketing strategies to enhance brand visibility and customer engagement.

As a Quality Control Manager, you will ensure each garment meets exceptional standards of craftsmanship and quality. You'll manage inspections, collaborate with various teams, and maintain the brand's commitment to excellence.

The Legal Counsel - Employment (India) involves providing legal support on employment matters, including contract drafting, compliance, dispute management, and regulatory advisory. The position requires collaboration with HR, senior counsel, and external stakeholders to ensure compliance with labour laws and support key strategic initiatives in a dynamic and fast-paced environment.

We're seeking a passionate and creative B2B Marketing Manager to lead our marketing team and enhance our brand visibility. The ideal candidate will have a 5+ years in the Retail/ consumer durables manufacturing industry.