Senior Data Scientist
Core
Senior AI/ML Data Scientist responsible for tracking emerging AI/ML developments, evaluating feasibility, building rapid POCs, and designing end-to-end ML/DL models for business use cases.
Role type
Senior hands-on IC machine learning engineer (financial services)
Builds
Production ML models, prototypes, and AI solutions for banking/financial services clients
Domain
Financial services / Machine Learning / Deep Learning
Deliverable
production ML models
Required skills
Python (scikit-learn, TensorFlow, Pytorch, XGBoost, LightGBM), ML/DL (supervised, unsupervised, NLP, time series), LLMs (fine-tuning, RAG, prompt engineering, agents), statistics, EDA, feature engineering, model evaluation, SQL, large-scale data processing, cloud ML platforms (AWS, Azure, GCP), Git, Jupyter, Databricks
Preferred skills
Computer Vision, Reinforcement Learning, Graph ML
Technologies
Python, TensorFlow, PyTorch, XGBoost, LightGBM, scikit-learn, SQL, AWS, Azure, GCP, Databricks, Jupyter, Git
Responsibilities
Track latest AI/ML developments and assess relevance to business use cases; Evaluate feasibility of AI solutions and recommend optimal technical approach; Build rapid POCs to validate ideas before investment; Benchmark vendor and open-source solutions; Design and develop ML/DL models end-to-end; Ensure model performance, robustness, and bias checks; Support junior team members through mentoring and code reviews
Seniority
Senior, hands-on IC
