Data Scientist II
First seen by Alion on Sep 24, 2026.
Data Scientist II :
Experience : 2 - 4 years.
About Setu :
At Setu, we believe "Every Day is Game Day." We bring our best selves to work each day to realize our mission of enriching the world through the power of digital commerce and financial services.
About the Role :
At Setu, we believe that every company can become a fintech company. Any tech - enabled business that wants to offer or build financial products can consume Setu APIs. Our Data Science team is working on understanding the financial behaviour of 1.4 billion Indians across a broad spectrum of fintech sectors - including personal lending, collections, personal finance management (PFM), and BBPS. We are not just a team; we are building the intelligence layer for the future of fintech. As a Data Scientist II, you will explore, experiment, and build critical, scalable, and high - value data science solutions. You will work closely with business and engineering teams, gaining deep exposure to business objectives, technical architecture, and real - world fintech use cases. This role offers the opportunity to solve challenging problems while working on data that can directly influence financial products and customer experiences.
What Will You Do at Setu? :
We are constantly pushing the boundaries of data science to drive business growth, improve customer experiences, and streamline operational processes. Our work spans a diverse range of problem statements, including :
- Computer Vision
- Tabular Data
- Natural Language Processing (NLP)
- Generative AI
- Credit Risk and Alternate Data
- Financial transaction intelligence
For example, our Sesame model understands bank transactions with state - of - the - art accuracy. As part of the team, you will :
- Translate business problems into data science and machine learning solutions.
- Explore large, complex, and messy datasets to identify meaningful patterns and insights.
- Build, validate, and iterate on machine learning models.
- Develop scalable data pipelines and features using Python/PySpark.
- Work on model deployment and contribute to production - grade ML systems.
- Collaborate with product, engineering, and business teams to take models from ideation to production.
- Experiment with new approaches and techniques across different data science domains.
- Measure model performance and continuously improve solutions based on business outcomes.
Responsibilities :
We are looking for someone who :
- Is passionate about Setu's mission and vision.
- Demonstrates strong ownership, dedication, and perseverance.
- Consistently creates value for customers and stakeholders through high - quality outcomes.
- Strives for excellence in all aspects of their work.
- Manages time effectively, prioritizes tasks, and delivers against high standards.
- Adapts quickly to new responsibilities and changing circumstances.
- Can independently take a problem from business understanding through modelling, experimentation, deployment, and monitoring.
What Are We Looking For?
To excel in this role, you should have :
- A Bachelor's or Master's degree in Engineering or an equivalent discipline.
- 2+ years of experience in Data Science / Machine Learning.
- Prior experience with one or more of the following :
1. BBPS data exploration.
2. Alternate data credit risk models.
3. Bank statement / financial transaction data.
4. Alternate data for lenders or NBFCs.
5. Relevant fintech or financial services use cases.
- Strong understanding of :
1. Statistics.
2. Hypothesis testing.
3. Statistical inference.
4. Simulations.
5. Optimization.
6. Machine learning techniques.
7. Tree - based algorithms such as Random Forest and XGBoost.
8. Algorithms such as MLP and SVM.
- Experience independently converting business problems into ML models and taking them through their lifecycle.
- Experience with financial sector modelling, preferably in a startup or fast - paced environment.
- Experience working with unstructured, noisy, or messy data.
- Hands - on experience deploying models to production, or strong experience through relevant self - driven projects.
- Strong Python programming skills.
- Experience building data pipelines using Python and/or PySpark.
- Strong experience with feature engineering.
- Proficiency in :
1. Pandas.
2. Scikit - learn.
3. SQL.
4. Familiarity with TensorFlow and/or PyTorch.
Good to Have :
- Understanding of DevOps/MLOps practices.
- Experience creating Docker containers and deploying models to production.
- Experience with platforms such as Amazon SageMaker or Kubernetes.
- Experience with deep learning techniques.
- Exposure to LoRA fine - tuning and Generative AI.
Why Setu?
We want to empower you to do the most important and impactful work of your career. At Setu, you will have the opportunity to :
- Work closely with the founding team that has built and scaled public digital infrastructure such as UPI, GST, and Aadhaar.
- Work on challenging problems at the intersection of technology, data, and financial services.
- Learn and grow through exposure to diverse fintech use cases and large - scale datasets.
- Access a fully stocked library and an unlimited book budget.
- Attend conferences and industry events.
- Participate in learning sessions with internal team members and external experts.
- Use our learning and development allowance for subscriptions, courses, certifications, music classes, and more.
Our Culture :
Our culture code, How We Move, defines the behaviours we expect from everyone at Setu. When you demonstrate these six behaviours, you demonstrate "Every Day is Game Day."
- Take the Shot : You decide fast and deliver right.
- Sign Your Work Like an Artist : You master what you do and take pride in it.
- Be the Sherpa : You lead your crew on every expedition.
- Be the CEO of What You Do : You own it and make things happen.
- Care with Tough Love : You empower others with trust, respect, and openness.
- Own Tomorrow : You innovate for the customer and beyond.
Join Us :
Join Setu if you want to be part of a company building infrastructure that directly impacts financial inclusion and improves millions of lives. No cashbacks. No growth hacks. No gimmicks. Just an audacious mission and an obsession with craftsmanship in code. Every Day is Game Day.
Skills
Python, Machine Learning, SQL, PySpark, Pandas, Scikit-Learn, Data Science, Data Scientist, LORA