Data Scientist Intern

What you’ll be doing

We aren't looking for someone to
build dashboards. We are looking for a scientist to build the "brain"
of our Fintech engine. As a Decision Scientist, your role is to decode complex
user behaviours and build scalable models that drive automated, real -time
decisions—from credit risk and fraud prevention to payment routing and product
stickiness.

Experience: Fresher
Role Type: Data
Science / Engineering

Key Responsibilities

• Causal Inference
  & Behavioral Discovery: Dig deep into high -dimensional datasets to move beyond
  correlation. You will identify the true causal drivers of user retention and
  lending propensity.
  
• Scalable Predictive
  Modeling: Design and deploy real -time ML models for Lending Propensity and Fraud Detection.
  
• System Architecture
  & Pipelines: You will build and maintain production -grade data pipelines
  that serve features to models at scale with minimal latency.
  
• Strategic Decision
  Influence: Distill complex algorithmic outcomes into
  strategic recommendations for leadership. 
  

• Foundational
  Science: Understanding of Statistical Modeling and Machine Learning. You
  should be obsessed with understanding "The Why."
  
• Advanced Python: Knowledge of ML
  ecosystem (scikit -learn, XGBoost/LightGBM, PyTorch/TensorFlow) and data processing frameworks.
  
• Causal Toolkit: Familiarity with
  causal inference frameworks (e.g., CausalML, DoWhy)
  
• Engineering Rigor:
  o   Strong SQL and experience with big data processing.
  o   Proficiency in building/maintaining DAGs (Airflow) and
  monitoring model drift.
  
• Communication: Ability to defend
  a model's logic to a non -technical audience while maintaining scientific
  integrity.
  

Why Join Our Decision Science Team?

Real -Time Impact

Your models won't sit in a notebook; they
will decide the fate of transactions and loan applications in real -time.

Deep Tech Stack

Work at the intersection of Data Engineering and
Applied Science.

High Ownership

In our startup environment, you own the
entire lifecycle—from the first causal hypothesis to the final production API.

Growth

Work in a fast -paced Fintech environment at the
intersection of data science and product strategy.

Bold,
fast & human
We push boundaries together, and deliver with agility, rigor, and heart. Always
looking out for one another.

Growth
by osmosis
Learn directly from a stellar leadership team with rich, diverse backgrounds.

What you will not get

• Monotony
  → Work is dynamic, expect variety every day.
  
• Slow
  climbs → Growth here is about leaps, not ladders.
  
• Layers
  of red tape → We believe in speed, not bureaucracy.