Data Scientist

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)