Data Scientist

Job Summary

We are looking for a skilled Data Scientist to join our team and work on data-driven solutions, predictive models, and machine learning initiatives. The ideal candidate should have strong experience in Python, statistics, machine learning, and working with large datasets.

Key Responsibilities

• Develop, implement, and optimize machine learning and statistical models.
• Analyze large and complex datasets to identify trends, patterns, and business insights.
• Perform data preprocessing, feature engineering, model training, and validation.
• Build predictive and classification models using appropriate ML algorithms.
• Collaborate with business, technology, and product stakeholders to understand requirements.
• Develop data pipelines and ensure data quality for analytics and ML use cases.
• Monitor model performance and continuously improve model accuracy.
• Present analytical findings and recommendations to technical and non-technical stakeholders.
• Stay updated with emerging technologies in AI, ML, Generative AI, and data science.

Required Skills

• Strong programming experience in Python.
• Hands-on experience with Machine Learning, Statistics, and Predictive Analytics.
• Experience with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch.
• Strong understanding of supervised and unsupervised learning algorithms.
• Experience in SQL and working with relational databases.
• Good knowledge of data visualization tools such as Power BI, Tableau, Matplotlib, or Seaborn.
• Experience with data preprocessing, feature engineering, model evaluation, and optimization.
• Good understanding of Azure/AWS/GCP and cloud-based data platforms is an advantage.

Good to Have

• Experience with Deep Learning, NLP, GenAI, LLMs, or RAG.
• Knowledge of Databricks, Spark, PySpark, MLflow, or similar platforms.
• Experience deploying ML models into production.
• Knowledge of MLOps and CI/CD practices.
• Exposure to financial services, banking, or fintech domains.

Education

Bachelors or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.

Key Competencies

Python | SQL | Machine Learning | Statistics | Predictive Analytics | Data Visualization | NLP | Deep Learning | GenAI | AWS/Azure/GCP | Databricks | PySpark | MLOps