Urgent Requirement: Data Scientist

Nihilent Ltd.; Kolkata District, Pune District, Chennai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Nihilent Ltd. is seeking a senior data scientist in India to spearhead applied AI and analytics efforts, aligning complex business challenges with advanced technical execution.

This role encompasses client management, team leadership, and end-to-end development of AI-driven architectures that deliver measurable operational and financial impact. You will translate business needs into analytics frameworks, guide discovery workshops, and maintain hands-on involvement in modeling, deployment, and

Qualifications

• 10 to 14 years of professional experience in data science, analytics, or AI engineering.
• Proven track record of directly managing technical teams and guiding them through complex lifecycles.
• Extensive background in client-facing, B2B, or internal consulting roles.

Responsibilities

• Bridge business problems and analytics by translating requirements into structured AI solutions.
• Lead discovery with clients and gather requirements to shape analytics strategies.
• Hands-on design, development, and deployment of ML models and AI systems, with production readiness.
• Mentor and manage a high-performing data science and data engineering team; establish best practices.

Skills

Python

SQL

Data processing

Leadership

Client management

Communication

Analytical thinking

Tools

MLOps

Cloud platforms

Airflow

Job description

Role & responsibilities

Role Overview

We are seeking a highly experienced, hands-on Senior Data Scientist to lead our applied AI and analytics initiatives. This role is designed for a strategic thinker who excels at bridging the gap between complex business challenges and advanced technical execution. You will be responsible for client management, team leadership, and the end-to-end development of AI-driven architectures that deliver measurable operational and financial impact.

Key Responsibilities

Business-to-Analytics Translation

• Act as the critical link between business stakeholders and the technical team, translating ambiguous business problems into structured analytics frameworks.
• Define clear objectives, data requirements, mathematical methodologies, and success metrics for every AI initiative.
• Design scalable architectures that align with overarching business goals, ensuring solutions are robust and adaptable to various operational constraints.

Consulting & Client Management

• Serve as the primary technical advisor and consultant for key enterprise customers, managing expectations and fostering long-term strategic relationships.
• Lead discovery workshops and requirement-gathering sessions to understand customer pain points deeply.
• Communicate complex statistical concepts and AI outcomes clearly to non-technical business stakeholders and executive leadership.

Hands-On AI Development & Execution

• Maintain a hands-on approach to designing, writing, and deploying advanced machine learning models and AI solutions.
• Apply advanced modeling techniques for predictive analytics, forecasting, and optimization, relying on generalized, robust methodologies rather than rigid, single-algorithm approaches.
• Oversee data pipelines, model validation frameworks, and the seamless transition of prototypes into production environments.

Team Leadership & Mentorship

• Build, lead, and mentor a high-performing team of data scientists and data engineers.
• Establish best practices for code reviews, model governance, agile analytics delivery, and cross-functional collaboration.
• Cultivate a culture of continuous learning, ensuring the team stays current with emerging AI trends and modern data architectures.

Qualifications & Competencies

Experience Requirements:

• 10 to 14 years of professional experience in data science, advanced analytics, or AI engineering.
• Proven track record of directly managing technical teams and guiding them through complex project lifecycles.
• Extensive background in client-facing, B2B, or internal consulting roles.

Technical Proficiency:

• Programming & Data: Advanced, hands-on proficiency in Python, SQL, and enterprise data processing.
• AI/ML Expertise: Deep, applied understanding of machine learning, deep learning, and generative AI frameworks applied to real-world business optimization.
• Deployment: Solid experience with cloud infrastructure and MLOps practices for deploying, monitoring, and maintaining scalable models.

Core Soft Skills:

• Exceptional communication and presentation skills, capable of distilling complex technical findings into compelling, single-slide executive narratives.
• Strong consultative mindset with the ability to influence decision-making and steer client strategy.
• High degree of adaptability, critical thinking, and problem-solving acumen when dealing with lumpy, intermittent, or missing data.