Summary: This role involves deep data analysis, exploration, and enrichment using Python to uncover insights and transform raw data into decision-ready outputs for a Fortune Global 500 company. Highlights: 1. Work with complex datasets and solve open-ended analytical problems. 2. Perform deep data analysis and exploratory data analysis (EDA) using Python. 3. Visualize insights and analytical results using Power BI. Client: Our client is a US\-based investment management business of an American Fortune Global 500 and Fortune 500 company whose subsidiaries provide insurance, investment management, and other financial products and services to both retail and institutional customers throughout the United States and in over 40 other countries. * Position overview: We are looking for a strong Data Scientist with a heavy Python and analytical background to join our team. This role is focused on deep data analysis, exploration, and enrichment rather than traditional ETL development. * You will work extensively with Python data frames to uncover insights, detect anomalies, and transform raw data into meaningful, decision‑ready outputs. The results of your analysis will be visualized in our BI platform (Power BI) and used directly by stakeholders for data‑driven decision‑making. * This position is ideal for someone who enjoys working with complex datasets, solving open‑ended analytical problems, and clearly communicating insights through data and storytelling. * Responsibilities: Perform deep data analysis and exploratory data analysis (EDA) using Python * Transform, enrich, and analyze large datasets using pandas and polars * Identify trends, patterns, and anomalies in complex datasets * Design analytical approaches to solve ambiguous and open‑ended problems * Prepare high‑quality, analysis‑ready datasets for reporting and decision‑making * Visualize insights and analytical results using Power BI * Collaborate with stakeholders to translate business questions into analytical solutions * Validate data quality and ensure accuracy of analytical outputs * Communicate findings clearly through dashboards, reports, and written insights * Requirements: Strong Python skills with a focus on data analysis * Solid data science background with hands‑on analytical experience * Proven experience with pandas and polars (both required) * Strong experience in: Data exploration, Statistical analysis, Anomaly and outlier detection * Experience working with BI tools, preferably Power BI * Ability to think analytically and creatively when solving complex problems * High attention to detail and data quality * Ability to work independently in an analytical role * Nice to have: Experience with AI / LLM‑based analysis or data enrichment * Familiarity with machine learning models for anomaly detection or pattern discovery * Experience translating analytical outputs into executive‑level insights * Experience working with large or complex datasets * Knowledge of SQL for analytical purposes