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Data Scientist

Crayon Data Chennai, Tamil Nadu, India

Technology, Information and Internet · 51-200 employees

Oct 16
data-scientist Mid (2-5 yrs) Full-time India
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About the role

Design, develop, and deploy scalable AI/ML solutions for risk assessment, fraud detection, customer intelligence, personalization, and predictive modeling, with a focus on financial services. Collaborate with business, product, and engineering teams to identify data opportunities, translate business challenges into practical solutions, and deliver measurable business impact.

What they look for

Data Science Machine Learning Applied AI Python TensorFlow PyTorch Predictive Modeling Risk Assessment Fraud Detection Customer Intelligence Hyper-Personalization Model Deployment Cloud Platforms Data Strategy Stakeholder Management Problem-Solving

Requirements

Requires 4–5 years of hands-on experience in data science, machine learning, and applied AI, preferably in BFSI or another data-rich industry, along with proficiency in Python and experience with TensorFlow or PyTorch. Candidates should have a relevant academic background, experience deploying models at scale, familiarity with AWS, Azure, or GCP, and strong analytical, communication, problem-solving, and stakeholder-management skills; a master’s degree is preferred.

Full description

Data Scientist – Chennai (AI/ML & BFSI Focus)

From models to measurable impact — drive real change with AI.

Location: Chennai, India

Experience: 4–5 years in Data Science/ML (preferably in BFSI or other data-rich industries)

We’re looking for innovative data scientists who go beyond building models to deliver measurable business impact. We value professionals with a strong passion for applying AI, a proactive mindset, and the ability to anticipate client needs and translate business challenges into practical solutions.

Role Overview

As a Senior Data Scientist, you will design, develop, and deploy AI/ML solutions that drive enterprise sales acceleration and business transformation. You will work closely with cross-functional teams to solve complex business problems through data-driven decision-making, risk intelligence, personalization, and predictive modeling, with a focus on financial services.

What Makes You Right for This Role?

Advanced AI/ML Modeling – Develop and optimize machine learning models for risk assessment, fraud detection, customer intelligence, and hyper-personalization.

AI Productization – Translate AI/ML concepts and experiments into scalable, production-ready solutions that deliver measurable business value.

Data Strategy – Collaborate with business and technical stakeholders to identify data opportunities and develop AI-driven use cases aligned with business objectives.

Innovation & Thought Leadership – Explore emerging AI/ML techniques, build prototypes, and contribute to client presentations and technical discussions.

Cross-functional Collaboration – Partner with engineering, product, and business teams to deliver AI solutions, share knowledge, and contribute to best practices.

The Person We’re Looking For

  • 4–5 years of hands-on experience in Data Science, Machine Learning, and applied AI, preferably in BFSI or similar data-rich industries.
  • Strong academic foundation in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field. A Master’s degree is preferred.
  • Proficiency in Python and experience with ML frameworks such as TensorFlow or PyTorch.
  • Experience developing, evaluating, and deploying machine learning models at scale.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP.
  • Ability to translate business challenges into practical AI/ML solutions with measurable outcomes.
  • Strong analytical thinking, problem-solving, communication, and stakeholder management skills.
  • A proactive mindset, passion for experimentation, and eagerness to explore emerging AI technologies.
  • Based in Chennai, with flexibility to travel for client discussions and collaborations.

If you’re passionate about building AI solutions that solve real-world business problems and create measurable impact, we’d love to hear from you!

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