Data Scientist

LANDMARK GROUP; Bengaluru; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Landmark Group in Bengaluru is seeking a Data Scientist to explore applying scientific principles to business problems in a retail analytics context.

You will develop new algorithms, collaborate with product and data engineering teams to implement modules, maintain production pipelines, and build POCs to popularize innovative analytics across brands.

Experience with PySpark/Python, SQL, ML modelling, and cloud deployment will be valued as you drive data-driven decisions across the organization.

Qualifications

• Proficient in PySpark or Python for scalable data processing.
• Experience building production-grade data pipelines and modular code.
• Strong SQL skills and data handling (Images, text blobs, etc.).
• Solid ML background with mathematical foundation for two modelling techniques.
• Exposure to GenAI systems and cloud deployment concepts.

Responsibilities

• Investigate feasibility of applying scientific principles to business problems.
• Develop new algorithms independently to solve retail problems.
• Collaborate with product and data engineering teams to deploy production pipelines.
• Develop POCs based on new ideas and technology for analytics.
• Drive process improvements through collaboration with Data Engineering and Product teams.

Skills

PySpark or Python

Production code experience

Efficient data processing

Asymptotic algorithm analysis

SQL proficiency

ML with math foundation

GenAI exposure

Cloud deployment / Docker / CI-CD

Retail experience

Tools

Docker

CI/CD

Azure

AWS

GCP

Job description

Know us a little better!

The Landmark Group, founded in 1973, has a diverse portfolio of retail and hospitality brands. It has successfully grown into one of the largest and most successful retail conglomerates in the MENA region with an entrepreneurial culture focused on delivering exceptional value. The Group employs over 45,000 people and operates over 1,600 outlets covering 22 million square feet across 19 countries in the Middle East, North Africa, and India region.

Built with love and loads of effort by many smart, talented, and passionate Landmarks, our goal is simple: to deliver high impact to all business functions and institutionalize data driven decision making.

The Landmark Group is one of the leading retail and hospitality organizations in the Middle East and India. Its vast portfolio of successful businesses includes award-winning household brands like Lifestyle, Max, Splash and Home Centre.

About CSi (Customer, Strategy & Intelligence)

CSi is the Customer, Strategy & Intelligence division of Landmark Group Globally. It brings together the former DLL (Data Labs Landmark), the Group Loyalty function (Shukran), Partnerships, Performance Marketing, and Martech. The CSi organization reports to Shailesh Jain, Chief Customer & Analytics Officer for Landmark Group.

Our mandate is to build bestinclass data & AI solutions that unlock exceptional value for Landmark customers across all brands and markets.

This is YOU!

Job Title: Data Scientist

Job Location: CSi, 5th Floor, East Wing, 77 Town Center, 3, Yemalur, Bengaluru, Karnataka 560037

Mode of Work: Hybrid Model (3 days work from office)

Job Role:

Investigate the feasibility of applying scientific principles and concepts to business problems.

Develop new algorithms independently to solve well defined retail problems and improve existing algorithms.

Work with product team to implement new modules, maintain and release production pipelines in timely and responsible manner.

Develop POCs based on new ideas or technology, popularize new innovations in retail and analytics with internal/external stakeholders.

Collaborate with Data Engineering, Advisory and Product team to find scope of improvement and drive right processes.

Who are we looking for?

• Writes efficient code in PySpark or Python (At least 2.5 years)
• Experience in writing production system code (Modular code build, OOP framework, test cases, exception handling etc.)
• - Efficient data processing (vectorization, avoiding row-wise ops etc.)
• - Rudimentary knowledge of asymptotic algorithm analysis
• - Fluency in SQL, relational database, and non-structured data handling (Images, text blob)
• In-depth knowledge in machine learning with mathematical foundation for any two of the following modelling techniques: Regression (classical; DL is a plus), Classification (classical & DL), Text Mining/ NLP & Recommender Systems
• Good to Have:
• - Exposure to GenAI systems (LLMs, RAG, or agentic workflows) and interest in designing beyond basic use case (Situational and case-basis design thinking)
• - Exposure in cloud technology and model deployment (Azure/ AWS/ GCP) theoretical background with foundational concepts of docker, CI-CD etc., works.
• - Retail Experience & Business Acumen (Even if its 30-50% of overall experience at least one retail project)