Senior Data Scientist

Company: Sash.ai

Website: Visit Website

Business Type: Startup

Company Type: Service

Business Model: B2B

Funding Stage: Bootstrapped

Industry: Software Development

Salary Range: ₹ 12-20 Lacs PA

Job Description

About Us:

We are a specialized AI consulting and engineering firm, built to empower Global Capability Centres (GCCs). Our mission is to help GCCs move beyond cost efficiency, unlocking their potential as innovation engines and strategic value creators through AI, data science and intelligent automation.

We provide AI-driven decision-making and enterprise-ready AI solutions tailored for global enterprises. Our work spans from cutting-edge analytics to Generative AI and intelligent AI agents, helping GCCs unlock business value at scale.

Role Overview

We are looking for a Senior AI/Data Scientist with 3-5 years of experience who is passionate about building AI and machine learning solutions for real-world business problems.

As part of our AI team, you will design, develop and deploy advanced machine learning models, Generative AI applications and AI-powered decision systems. You will work with structured and unstructured data, develop predictive models, AI-driven insights and business-aware Generative AI agents that enhance productivity and decision-making.

Key Responsibilities

• Build Gen AI-enabled solutions using online and offline LLMs, SLMs and TLMs tailored to domain-specific problems.
• Deploy agentic AI workflows and use cases using frameworks like LangGraph, Crew AI etc.
• Apply NLP, predictive modelling and optimization techniques to develop scalable machine learning solutions.
• Integrate enterprise knowledge bases using Vector Databases and Retrieval Augmented Generation (RAG).
• Apply advanced analytics to address complex challenges in Healthcare, BFSI and Manufacturing domains.
• Deliver embedded analytics within business systems to drive real-time operational insights.
  
  

• 3–5 years of experience in applied Data Science or AI roles.
• Experience working in any one of the following domains: BFSI, Healthcare/Health Sciences, Manufacturing or Utilities.
• Proficiency in Python, with hands-on experience in libraries such as scikit-learn, TensorFlow
• Practical experience with Gen AI (LLMs, RAG, vector databases), NLP and building scalable ML solutions.
• Experience with time series forecasting, A/B testing, Bayesian methods and hypothesis testing.
• Strong skills in working with structured and unstructured data, including advanced feature engineering.
• Familiarity with analytics maturity models and the development of Analytics Centre of Excellence (CoE’s).
• Exposure to cloud-based ML platforms like Azure ML, AWS SageMaker or Google Vertex AI.
• Data visualization using Matplotlib, Seaborn, Plotly; experience with Power BI is a plus.
  
  

• AI-First Thinking – Passion for leveraging AI to solve business problems.
• Data-Driven Mindset – Ability to extract meaningful insights from complex data.
• Collaboration & Agility – Comfortable working in cross-functional teams with a fast-paced mindset.
• Problem-Solving – Think beyond the obvious to unlock AI-driven opportunities.
• Business Impact – Focus on measurable outcomes and real-world adoption of AI.
• Continuous Learning – Stay updated with the latest AI trends, research and best practices.
  
  

• Work on cutting-edge AI & GenAI projects.
• Be part of a high-Caliber AI team solving complex business challenges.
• Exposure to global enterprises and AI-driven decision-making.
• Competitive compensation and fast-track career growth in AI.
• Get mentored by best-in-class AI leaders who will help shape you into a top AI professional