Senior Data Scientist

Job Description:Senior AI/ML Data Scientist – Innovation & Model DevelopmentKey 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 platforms (AWS, Azure, or GCP)

• Familiarity with Git, Jupyter, Databricks

Preferred Skills & Attributes

• Experience in Computer Vision, Reinforcement Learning, or Graph ML

• Strong analytical thinking and problem-solving

• Ability to simplify complex topics into clear recommendations

• Critical mindset towards model outputs and AI-generated code

• Pragmatic, with focus on speed and business impact

• Strong communication and stakeholder management

• Comfortable working in ambiguity

• Proactive, with ownership and mentoring mindset

Work Environment

• Agile, fast-paced innovation environment