Crayon Data - Senior Data Scientist - Statistical Modeling (5-7 yrs)

Rol e : Sr Data Scientist.

Experience level : 5 to 7 years.

Location : Chennai.

Who are we?

Crayon Data is a leading provider of AI-led revenue acceleration solutions, headquartered in Singapore with a presence in India and the UAE. Founded in 2012, our mission is to simplify the worlds choices.

Our flagship platform, maya.ai, helps enterprises in Banking, Fintech, and Travel unlock the value of their data to create hyperpersonalized experiences and drive sustainable revenue streams.

maya.ai is powered by four as a Service components Data, Recommendation, Customer Experience, and Marketplace that work in unison to deliver tangible business outcomes.

Why Crayon? Why now?

Crayon is transforming into an AI first company, and every Crayon (thats what we call ourselves!) is undergoing a journey of upskilling and expanding their capabilities in the AI space.

We're building an organization where AI is not a departmentits a way of thinking. If youre an engineer whos passionate about building things, experimenting with models, and applying AI to solve real business problems, youll feel right at home in our AI squads.

Our environment is designed to be a playground for AI practitioners, with access to meaningful data, real-world challenges, and the freedom to innovate.

You won't just be writing modelsyoull be shaping Crayons future.

Experience : 5+ years.

Industry : Banking, Financial Services, and AI.

Team : Data Science.

Job Overview

We are seeking a Senior Data Scientist who thrives at the intersection of business and machine learning. In this role, you will develop and deploy data science models that directly drive outcomes for banking and financial institutions from boosting sales and cross-sell opportunities to reducing attrition and churn.

If you love solving real-world business problems using data and turning insights into action, this is the role for you.

What Youll Do :

- Build and deploy machine learning and statistical models for key banking use cases : cross-sell, upsell, churn prediction, customer segmentation, lead scoring, etc.

- Work with large-scale structured and unstructured datasets to derive meaningful insights.

- Translate business problems into analytical solutions and guide clients through data-driven decision-making.

- Collaborate closely with product, engineering, and consulting teams to deliver production-ready models.

- Continuously monitor, tune, and improve model performance post-deployment.

- Mentor junior data scientists and contribute to internal knowledge sharing.

Can you say Yes, I have! to the following?

- 5+ years of experience developing ML/AI solutions on large-scale datasets.

- Strong academic background B.E/B.Tech/MS in Machine Learning, Computer Science, Statistics, Applied Math, or related fields; PhD is a bonus.

- Deep understanding of statistical models hierarchical, stochastic, time series, survival, and econometric.

- Expertise in at least one deep learning framework PyTorch, TensorFlow, or MxNet.

- Proficiency in Spark (Scala/PySpark) for large-scale data processing and designing scalable ML pipelines.

- Experience contributing to open-source ML libraries or publishing research is a strong plus.

Can you say Yes, I will! to the following?

- Innovate with AI-first thinking.

- Champion scalable, production-grade ML solutions.

- Collaborate across teams to deliver outcomes aligned with business value.

- Stay curious, keep learning, and mentor junior team members.

Brownie points for :

- Alignment with The Crayon Box of Values because while skills can be learned, values are who we are.

- Passion for building reusable ML components and internal tools.

Come play, build, and grow with us.

# Lets co-create the future of AI at Crayon.