Senior Data Scientist

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Job Description: Senior AI/ML Data Scientist – Innovation & Model Development Key Responsibilities Track latest AI/ML developments (LLMs, architectures, emerging techniques) and assess relevance to business use cases Evaluate feasibility of AI solutions and recommend optimal technical approach Build rapid POCs (2–3 days) to validate ideas before investment Benchmark vendor and open-source solutions with clear comparison and recommendations Design and develop ML/DL models end-to-end (algorithm selection, feature engineering, optimisation) Deliver prototypes within short timelines (2–4 weeks) with strong validation standards Ensure model performance, robustness, and bias checks Use generative AI tools (e.g. Copilot, ChatGPT, Claude, Cursor) to accelerate prototyping and development Collaborate with product, business, and engineering teams in an agile environment Support junior team members through mentoring, code reviews, and knowledge sharing Skills & Experience 7+ years of experience in Data Science / Machine Learning Proven experience in banking or financial services Strong expertise in ML/DL (supervised, unsupervised, NLP, time series) Hands-on experience with Python (scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM) Solid understanding of LLMs and modern techniques (fine-tuning, RAG, prompt engineering, agents) Strong foundation in statistics, EDA, feature engineering, and model evaluation Experience with SQL and large-scale data processing Exposure to cloud ML platfor

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