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Data Scientist leading machine learning projects for credit risk scorecards (origination, credit limits, collections) with full-cycle model development using SQL, Python, and ML libraries like XGBoost and scikit-learn.
130 years of trust. One team shaping what's next. Allianz Group is one of the world's leading insurers and asset managers - built on over a century of stability, expertise, and financial strength. Allianz…
Leads data-driven marketing strategies and customer analytics for a bank, focusing on predictive modeling, segmentation, and campaign optimization to enhance digital sales and customer journeys.
The C Software Developer will design, develop, and debug core software for the Base SAS language and server tier. The role involves working primarily in C and Java across Unix, Windows, and MVS environments to support data analysis products.
At U.S. Bancorp India, we’re on a journey to do our best. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bancorp India gives you a…
The Lead Analyst drives data-driven improvements to U.S. Bank’s risk review processes, automating testing and enhancing methodologies to ensure compliance and operational efficiency in credit, compliance, and operational risk assessments.
SUMMARY Establishes vision, strategy, and metrics for Service Operations Group which includes Warranty Retailer Claims Support Helpline & Operations teams, Service Engineering Center (SEC), Remanufacturing Quality,…
At the Center for Health Information and Analysis (CHIA), we serve as stewards of Massachusetts health data, employing multifaceted datasets and cutting edge analytics to ensure transparency in our health care system.…
Data Scientist designing analytical models, algorithms, and big data processes using R, SAS, MATLAB, SQL, and Python/PHP to derive insights for semiconductor manufacturing and business teams at Applied Materials in Santa Clara.
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment…
Data Scientist designing methods to consolidate and analyze big data sources, building analytical models and algorithms using SQL, Python, R, SAS, and MATLAB at a semiconductor equipment leader in Bangalore.
Develops and maintains credit risk models for retail/commercial banking, translating regulatory requirements into analytical solutions using SAS/Python to support business decisions and risk management.
Location: Oslo, Oslo, Norway Job ID: R0095208 Date Posted: 2026-08-21 Company Name: HITACHI ENERGY NORWAY AS Profession (Job Category): Engineering & Science Job Schedule: Full time Remote: No Job Description: Bli…
OVERVIEW Hendall is currently seeking a Senior Manager of Statistical Analysis and Quality Control to serve as the senior statistical, quality control, and behavioral health data lead on a project team supporting the…
Let's Write Africa's Story Together! Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this. Job Description At OM Bank, we strive to attract great people who are…
Oversees mortgage broker channel strategy, analytics, and product lifecycle for a major bank, driving growth, risk management, and performance via data-driven insights and cross-functional collaboration.
Develop and enhance BI products (dashboards, datasets, semantic layers) and provide consulting support to stakeholders, using SQL, SAS, Python, Tableau/Power BI, and cloud data platforms like Snowflake and Redshift in a hybrid role based in Gurgaon.
Develops and validates statistical programming code for clinical trial data analysis, ensuring compliance with industry standards and regulatory guidelines while collaborating with data scientists and statisticians.
Cybersecurity Engineer at Airbus Defence and Space in Élancourt, focused on vulnerability management, hardening, technical compliance, security configuration, and crypto services for defense systems.
Builds and deploys ML models to solve business problems, analyzes data for insights, and collaborates with teams to integrate models into production systems using Python, SQL, and deep learning frameworks.
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