Data Scientist Position Start Date:
Week 2, January
End Date:
End of July 2026
Responsibilities:
Design and train machine learning models to transform data into smarter decisions and AI solutions.
Uncover valuable insights and drive innovation by exploring new technologies, data sources, and methodologies.
Collaborate with product teams and stakeholders such as marketing and operations to shape data-driven products from concept to execution.
Elevate analytical capabilities within the organization.
Required Qualifications and Experience:
Proficiency in programming languages such as Python, R, SQL, and Java.
Familiarity with database management systems like MySQL and PostgreSQL.
Experience with big data technologies, including platforms like Hadoop and Spark.
Strong skills in statistical analysis, including hypothesis testing, regression analysis, and time series forecasting.
Expertise in data wrangling, including data cleaning, transformation, and ETL processes.
Ability to develop predictive models for various banking-specific use cases such as credit scoring, email routing, fraud detection, and customer segmentation.
Proficiency in quantitative analysis and data visualization tools like Power BI.
Understanding of banking operations, products, services, and regulations.
Knowledge of risk management and the ability to integrate it into data analyses.
Ability to transform data insights into actionable business strategies.
Strong communication skills to present findings to non-technical stakeholders.
Effective collaboration with departments such as IT, marketing, and finance.
Innovative problem‑solving skills for complex data challenges.
Commitment to continuous learning in the rapidly evolving field of data science.
Ethical judgment regarding data privacy, fairness, and biases in modeling.
Understanding of regulatory compliance, including financial regulations like Basel III, GDPR, and CCPA.
Insights into customer analytics, including behavior, segmentation, lifetime value, and churn prediction.
Familiarity with version control tools like Git.
Knowledge of data warehousing solutions such as Wherescape, Snowflake, Redshift, or BigQuery.
#J-18808-Ljbffr