The business problem is to leverage advanced analytics, machine learning, and big data technologies to design data-driven solutions, generate actionable insights, and support strategic decision-making in areas such as risk management, fraud detection, customer segmentation, and credit scoring for a leading banking client.
Requirements
- Strong programming skills in Python and R, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, ggplot2, and caret.
- Hands-on experience with PySpark for distributed data processing and analysis.
- Strong statistical and mathematical foundation in regression, classification, clustering, time-series analysis, and hypothesis testing.
- Experience working with large datasets, big data platforms (Hadoop, Spark), and SQL/NoSQL databases.
- Familiarity with cloud platforms (AWS, Azure, or GCP) and version control (Git)
- Experience in risk analytics, fraud detection, credit risk modeling, or customer analytics in banking/financial services.
- Python, R, and PySpark
Responsibilities
- Work with large-scale structured and unstructured datasets to design, develop, and deploy predictive and prescriptive models.
- Apply statistical modeling, machine learning, and data mining techniques to address complex business problems in banking.
- Develop and optimize data pipelines and ETL processes using PySpark for efficient big data processing.
- Perform exploratory data analysis (EDA), feature engineering, and hypothesis testing using Python and R.
- Partner with business stakeholders to translate requirements into analytical solutions.
- Create visualizations and dashboards to communicate insights to technical and non-technical audiences.
- Ensure compliance with data governance, privacy, and security standards in all analytics work.
Other
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or related field.
- 3–7 years of experience as a Data Scientist, ideally within the banking or financial services domain.
- Excellent problem-solving, communication, and stakeholder management skills.
- Good to have experience in banking/financial services
- Ability to work with business stakeholders to translate requirements into analytical solutions.
