# Data Science

> Weekday AI · Gurugram, India · Full-time · Posted 2026-05-05

**Workplace:** on_site

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

## Description

**This role is for one of the Weekday's clients  
  
**Min Experience: 10 years

Location: Gurugram

JobType: full-time

We are seeking an experienced **Senior Data Science & GenAI Specialist** with 10–16 years of industry experience to drive advanced analytics, machine learning, and generative AI initiatives across business functions. The ideal candidate should have strong expertise in **Data Science with Python** and hands-on experience building scalable AI/ML solutions, with a growing focus on **Generative AI (GenAI)** applications. This role involves working closely with business leaders, engineering teams, and stakeholders to design, develop, and deploy intelligent solutions that solve complex business problems and create measurable impact.

## Requirements

**Key Responsibilities:**

-   Design, develop, and deploy end-to-end data science and AI solutions using **Python** and modern machine learning frameworks.
-   Build predictive, prescriptive, and classification models for solving business challenges across multiple domains.
-   Develop and implement **Generative AI** use cases including content generation, summarization, conversational AI, recommendation systems, and workflow automation.
-   Work with structured and unstructured datasets, performing data cleaning, feature engineering, model training, validation, and optimization.
-   Collaborate with cross-functional teams to identify business opportunities where AI/ML and GenAI can create operational efficiency or product innovation.
-   Develop scalable machine learning pipelines and integrate models into production environments.
-   Fine-tune and optimize foundation models or integrate APIs for GenAI solutions.
-   Conduct model performance monitoring, A/B testing, and continuous improvement of deployed solutions.
-   Mentor junior data scientists, ML engineers, and analysts on best practices in data science and AI development.
-   Stay updated with emerging trends in AI, machine learning, and generative AI ecosystems.
-   Translate business requirements into technical AI/ML roadmaps and architecture recommendations.
-   Ensure governance, model explainability, and responsible AI practices are followed.

**Required Skills (Must Have):**

-   10–16 years of hands-on experience in **Data Science** and advanced analytics.
-   Strong expertise in **Python** for data science, machine learning, statistical analysis, and automation.
-   Proven experience with libraries/frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar.
-   Hands-on experience in **Generative AI (GenAI)** including prompt engineering, model orchestration, retrieval-based systems, or AI application development.
-   Strong understanding of machine learning algorithms, statistics, predictive modeling, NLP, and deep learning.
-   Experience in model deployment, MLOps, and scalable AI solution implementation.
-   Strong problem-solving, analytical thinking, and stakeholder communication skills.

**Good to Have Skills:**

-   Experience working with **Large Language Models (LLMs)** such as GPT, open-source LLMs, or enterprise AI platforms.
-   Exposure to broader **AI/ML** ecosystems including computer vision, NLP, reinforcement learning, or neural networks.
-   Familiarity with cloud platforms such as AWS, Azure, or GCP for AI workloads.
-   Experience with vector databases, embeddings, LangChain/LlamaIndex, or RAG pipelines.
-   Knowledge of CI/CD pipelines and model lifecycle management.

**Preferred Qualifications:**

-   Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field.
-   Advanced certifications in AI/ML, Data Science, or Generative AI are a plus.
-   Prior experience leading enterprise-scale AI transformation initiatives is preferred.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/E616463D43/apply)

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