Data Scientist

CSi - LANDMARK GROUP; Bengaluru; On-site; INR 700,000 - 1,100,000; Full time

Job summary

CSi - LANDMARK GROUP in Bengaluru seeks a data science professional with 1.5 to 4.5 years of hands-on Python/PySpark experience to solve retail problems.

The role focuses on applying ML techniques, handling structured and unstructured data, and collaborating with product and data engineering teams to deploy production-ready models.

You will develop new algorithms, run experiments, and contribute to scalable data pipelines while aligning with business goals.

Qualifications

• 1.5 to 4.5 years of experience in relevant roles.
• Proficiency in PySpark or Python (at least 2.5 years).
• Experience in writing production-grade code (modular design, OOP, tests, exception handling).
• Knowledge of asymptotic algorithm analysis (rudimentary).
• Fluency in SQL and handling relational and unstructured data (images, text).
• Solid knowledge in machine learning with mathematical foundations in two techniques (regression, classification, text mining/NLP, recommender systems).
• Nice to have: exposure to GenAI systems (LLMs, RAG) and design thinking for advanced use cases.

Responsibilities

• Investigate applying scientific principles to business problems.
• Develop new algorithms to solve retail problems and improve existing ones.
• Collaborate with product to implement modules and maintain production pipelines.
• Develop POCs and promote innovations in retail analytics to stakeholders.
• Collaborate with Data Engineering, Advisory and Product teams to identify improvement opportunities.

Skills

PySpark

Python

SQL

Data structures/ML

Job description

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.

Who are we looking for?

• Experience: 1.5 to 4.5 years
• 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.).
• 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).

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.