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ML and DS intern

4 weeks ago

Bengaluru, India Finspectors Full time

Title:
Machine Learning / Data Science Intern

Location:
Remote / Bengaluru

Duration:
1-2 (with potential extension)

Stipend
: Applicable

About Us

is building the future of audit automation. Our platform helps audit firms streamline evidence collection, automate risk scoring, and accelerate financial reviews. We're pushing the boundaries of AI/ML in statutory and internal audits and you'll be part of a team enhancing our risk engine with advanced models and audit-friendly intelligence.

What You'll Do

  • Work directly with our founding team on enhancing the audit risk classification engine.
  • Experiment with
    ML models (CatBoost, XGBoost, LightGBM, Logistic Regression, BERT/SBERT)
    for anomaly detection and risk scoring.
  • Apply advanced techniques: feature engineering, embeddings, probabilistic scoring, and explainable AI.
  • Explore graph-based and behavioral analytics to capture hidden relationships in financial data.
  • Help improve precision/recall of our models with new data pipelines and evaluation frameworks.
  • Collaborate on integrating models into our FastAPI-based deployment and audit workflows.

What We're Looking For

  • Students or recent graduates in Computer Science, Data Science, or related fields.
  • Strong Python skills (pandas, scikit-learn, PyTorch/TensorFlow).
  • Familiarity with ML workflows: preprocessing, training, evaluation, deployment.
  • Interest in
    financial data, risk models, and AI for audit/compliance
    .
  • Curiosity, problem-solving mindset, and eagerness to learn.

Nice to Have

  • Experience with CatBoost, LightGBM, or XGBoost.
  • Knowledge of embeddings (TF-IDF, SBERT) and NLP techniques.
  • Exposure to APIs, FastAPI, or workflow automation tools (Zapier/n8n).

What You'll Gain

  • Hands-on experience building and deploying ML models in a live SaaS product.
  • Exposure to the intersection of AI, audit, and compliance, a growing global space.
  • Ownership of impactful projects.
  • Opportunity for long-term collaboration if there's a strong fit.

How to Apply

If this excites you, send us a quick note with your resume to