Job Description

A leading financial services organization is seeking an experienced Data Scientist with deep expertise in AI, machine learning, and Python development. You design, build, and deploy scalable data-driven models that solve complex business challenges and drive strategic decision-making. This role partners closely with cross-functional stakeholders to transform data into actionable insights.

Key Responsibilities

• Data Collection & Preparation

  • Ingest, clean, and preprocess large structured and unstructured datasets from multiple sources
  • Perform exploratory data analysis (EDA) to identify trends, patterns, and data quality issues
  • Develop and maintain robust ETL pipelines for efficient data transformation

• Model Development & Deployment

  • Architect, train, and deploy supervised, unsupervised, and deep learning models (classification, regression, clustering)
  • Optimize model performance (accuracy, latency, scalability) using advanced frameworks (TensorFlow, PyTorch, Scikitlearn)
  • Automate model retraining and monitoring workflows in production environments

• Algorithm Engineering

  • Design and refine algorithms for large-scale data processing and real-time inference
  • Implement best practices for model interpretability, fairness, and reliability

• Software Engineering & Integration

  • Write clean, modular Python code following industry standards (Pandas, NumPy, SciPy)
  • Integrate models into existing software platforms and cloud infrastructure (AWS, GCP, Azure)
  • Maintain version control (Git) and CI/CD pipelines for reproducible deployments

• Evaluation & Validation

  • Define and track key performance metrics (accuracy, precision, recall, F1)
  • Conduct rigorous cross-validation, A/B testing, and stress testing to ensure robustness

• Collaboration & Communication

  • Translate business requirements into technical specifications and actionable analytics solutions
  • Present complex findings clearly to technical and non-technical stakeholders
  • Document methodologies, code, and model decisions for transparency and audibility

Required Qualifications

• 4+ years in a Data Scientist or Machine Learning Engineer role
• Mastery of Python and core libraries (Pandas, NumPy, Scikitlearn)
• Hands-on experience with deep learning frameworks (TensorFlow or PyTorch)
• Solid understanding of statistical modeling, feature engineering, and model evaluation
• Proficiency with data visualization tools (Matplotlib, Seaborn, Plotly)
• Experience deploying models on cloud platforms (AWS, GCP, or Azure)
• Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or related field

Preferred Skills

• Expertise in Natural Language Processing (NLP) or Computer Vision
• Familiarity with big data technologies (Spark, Hadoop)
• Knowledge of containerization (Docker/Kubernetes)
• Experience working in Agile/Scrum environments
• Strong written and verbal communication skills

What We Offer

• Opportunity to influence high-impact data initiatives
• Collaborative, crossdisciplinary work environment
• Professional development and certification support
• Flexible work arrangements and competitive benefits package