Senior Data Scientist

Michael Page; Bengaluru; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Michael Page is recruiting for a role focusing on building AI and GenAI solutions with real product impact. The position blends data science and software engineering at scale, partnering with product and engineering teams to translate requirements into robust, deployable systems.

The successful candidate will analyse complex datasets, develop predictive models, and apply Generative AI to improve code generation, testing, and documentation.

Qualifications

• BTech or Master's degree in CS/DS/Statistics or related field.
• Strong data science experience with exposure to software engineering practices.
• Expert-level proficiency in Python.
• Hands-on experience with TensorFlow, PyTorch, FastAPI, Pandas, and NumPy.
• Practical experience applying Generative AI concepts and tools.
• Strong understanding of SDLC, Git, and Agile methodologies.
• Excellent analytical, problem-solving, and stakeholder communication skills.

Responsibilities

• Analyse complex datasets using statistical and machine learning techniques.
• Develop predictive models to drive data-informed decision making.
• Design, build, and deploy software solutions incorporating data science methodologies.
• Apply Generative AI to improve code generation, testing, and documentation processes.
• Partner with product managers, designers, and technical teams to translate requirements into solutions.
• Contribute to coding standards, testing practices, and deployment excellence.
• Research emerging AI and data science technologies and recommend innovations.
• Mentor junior data scientists and engineers to promote technical growth.

Skills

Python programming

Data science

SDLC & Agile

Analytical thinking

Stakeholder communication

Generative AI applications

Education

BTech or MSc in CS/DS/Statistics

Tools

TensorFlow

PyTorch

FastAPI

Pandas

NumPy

Job description

• Build AI and GenAI solutions with real product impact


• Blend data science and software engineering at scale

About Our Client

The Client is a B2B SaaS company focused on workforce analytics, productivity measurement, and operational intelligence for enterprises. Its platform helps organisations gain visibility into employee, vendor, and AI-enabled work, serving hundreds of enterprises across multiple countries through a data-driven productivity and governance offering.

Job Description

• Analyse complex datasets using statistical and machine learning techniques.


• Develop predictive models to drive data-informed decision making.


• Design, build, and deploy software solutions incorporating data science methodologies.


• Apply Generative AI to improve code generation, testing, and documentation processes.


• Partner with product managers, designers, and technical teams to translate requirements into solutions.


• Contribute to coding standards, testing practices, and deployment excellence.


• Research emerging AI and data science technologies and recommend innovations.


• Mentor junior data scientists and engineers to promote technical growth.

The Successful Applicant

We're looking for someone who has:

• BTech or Master's degree in Computer Science, Data Science, Statistics, or a related field.


• Strong experience in data science with exposure to software engineering best practices.


• Expert-level proficiency in Python.


• Hands-on experience with TensorFlow, PyTorch, FastAPI, Pandas, and NumPy.


• Practical experience applying Generative AI concepts and tools.


• Strong understanding of SDLC, Git, and Agile methodologies.


• Excellent analytical, problem-solving, and stakeholder communication skills.

What's on Offer

• Opportunity to work on cutting-edge AI and Generative AI initiatives.


• Exposure to both data science and software engineering disciplines.


• Cross-functional collaboration with product, design, and engineering teams.


• Leadership opportunities through mentoring and technical influence.


• Potential exposure to cloud-based ML deployment and modern data platforms.