# Senior Data Scientist

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-10-14

**Salary:** INR 2,000,000–3,000,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟯𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟬-𝟯𝟬 𝗟𝗣𝗔)

Experience: 5+ yrs

Location: Bengaluru, Chennai

Job Type: Full-time

We are looking for an experienced **Senior Data Scientist** with strong expertise in **Python, Machine Learning, Generative AI, Large Language Models (LLMs), and AI engineering** to develop intelligent, scalable, and data-driven solutions. The ideal candidate will combine statistical expertise and analytical thinking with practical experience building AI applications, retrieval-augmented generation (RAG) pipelines, AI agents, and production-ready machine learning systems.

You will work on complex business challenges, translating data and analytical requirements into innovative solutions that improve decision-making, automate workflows, and deliver measurable business value.

## Requirements

Key Responsibilities

-   Translate business challenges into analytical problems and deliver actionable, data-driven recommendations.
-   Collect, process, cleanse, and validate data to ensure accuracy, consistency, and analytical reliability.
-   Develop and optimise machine learning models, classifiers, predictive systems, and automation solutions.
-   Build AI-powered applications, including chatbots, **RAG pipelines, workflow agents, and multi-agent systems**.
-   Develop Python-based APIs and microservices integrating LLMs from OpenAI, Anthropic, AWS, Azure, and Google Cloud.
-   Design retrieval, embedding, inference, and knowledge-processing pipelines using vector databases and knowledge graphs.
-   Implement AI and machine learning workloads on AWS, Azure, and GCP using scalable cloud architectures.
-   Establish deployment, evaluation, monitoring, and retraining pipelines for production AI systems.
-   Apply infrastructure-as-code practices using tools such as Terraform and CloudFormation.
-   Develop automated anomaly detection systems, dashboards, and reporting solutions for continuous monitoring.
-   Conduct statistical analysis, hypothesis testing, experimentation, and exploratory data analysis.
-   Present findings, model outcomes, and recommendations clearly to clients and business stakeholders.
-   Ensure AI solutions follow appropriate security, governance, reliability, and responsible AI practices.
-   Participate in architecture discussions and code reviews while maintaining clean, maintainable code.
-   Manage project delivery, mentor junior team members, and contribute to recruitment and knowledge-sharing initiatives.

What Makes You a Great Fit

-   **5+ years of experience** in data science, analytics, machine learning, or applied AI.
-   Strong programming skills in **Python**, with hands-on experience developing production-grade data and AI applications.
-   Expertise in machine learning algorithms, including regression, classification, optimisation, and neural networks.
-   Strong understanding of statistical analysis, probability distributions, hypothesis testing, and experimental design.
-   Practical experience with **Generative AI, LLMs, RAG, LangChain, LangGraph, or AutoGen**.
-   Knowledge of vector databases, embeddings, retrieval systems, knowledge graphs, and AI agent architectures.
-   Experience with cloud AI/ML services such as **AWS Bedrock and SageMaker, Azure OpenAI and AI Studio, or GCP Vertex AI and Gemini**.
-   Familiarity with MLOps/LLMOps, CI/CD, Docker, Kubernetes, and event-driven systems.
-   Experience with relational databases, SQL, and NoSQL or big-data technologies such as MongoDB, Cassandra, or Hadoop.
-   Proficiency in data visualisation tools such as Tableau, Power BI, QlikView, or D3.js.
-   Strong analytical, problem-solving, communication, and stakeholder-management skills.
-   Ability to manage projects end to end, collaborate across teams, and mentor emerging talent.
-   A bachelor's degree in Engineering, Computer Science, or a related analytical discipline is preferred; a relevant master's degree is an advantage.
-   A continuous-learning mindset and strong interest in **Generative AI, AI safety, intelligent automation, and emerging technologies**.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/CE78741163/apply)

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