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The Data Scientist will design, develop, and deploy scalable machine learning and AI solutions, focusing on Generative AI, LLMs, and NLP models. The role involves end-to-end ownership of projects, from data analysis and feature engineering to production deployment and monitoring using Python and PySpark.
The Senior Data Engineer designs and maintains scalable data infrastructure and ingestion frameworks on AWS to support financial reporting. The role involves collaborating with cross-functional teams, mentoring junior engineers, and utilizing Python, SQL, and big data technologies.
Develops data-driven solutions for solar power plant operations, analyzing large-scale time-series data to improve performance, troubleshoot issues, and support customer-facing reporting. Core tech: Python, SQL, PySpark, and cloud analytics platforms like Databricks.
Design, build, and operate data pipelines for structured and unstructured data using Python and SQL on AWS, supporting analytics, AI/ML, and document processing solutions for federal government clients.
This Data Scientist role supports a FinCEN program in Washington, DC, by applying machine learning and statistical modeling to large-scale financial datasets to detect financial crimes. The position requires an active Top Secret/SCI clearance and proficiency in Python, R, SQL, and AWS cloud-native technologies.
The Senior Machine Learning Engineer will design and build production-grade Intelligent Document Processing (IDP) and AI systems using Python, NLP, OCR, and LLMs. The role involves managing the full AI lifecycle, from data ingestion and model integration to deployment and observability in cloud environments.
Job Description: The Manager, Sales Operations Business Intelligence has ownership of Mars Canada's cross segment DdasS and Data Lake assets. This role is responsible for developing necessary enhancements,…
Build and deploy data models to analyze credit card portfolios, customer behavior, and transaction trends, then translate insights into actionable strategies for Kotak Mahindra Bank’s financial services.
The Lead Software Engineer will design and optimize large-scale ETL data pipelines and cloud-native data solutions using Python, PySpark, and AWS. This role involves managing modern data lake architectures and Snowflake environments while championing engineering best practices and AI-assisted development within a financial services context.
Build large-scale Azure Data platforms, data models, and Delta Lake infrastructure underpinning Databricks AI platforms as a senior engineer on a fully remote team.
Role: Databricks Engineer Experience: 9-12 Years Location: ALL EXL Locations Work Mode: Hybrid Key Role and Responsibilities: Design, build, and maintain Databricks workspaces, clusters, and compute pools across…
Role & Experience: Data Analyst (4 to 6 YoE) Location - Bangalore Job Description Summary: Key Skills : Strong SQL, Python, Pyspark, Jupyter Notebook, Agile / Jira / Confluence, Microsoft Excel, Banking Domain…
We are also looking for a go getter person who can define: Has excellent hands-on experience working on end-to-end model development process using AI and ML models, preferably in Insurance domain Has worked on…
Builds predictive models and data products to drive customer lifetime value (CLV) by developing churn/retention models, segmentation strategies, and personalized CRM campaigns. Owns end-to-end ML workflows, including feature engineering, validation, deployment, and production monitoring in Databricks, while collaborating with CRM, Marketing, and Merchandising teams.
Senior Manager – Customer Analytics (Corporate) About Sally Beauty Holdings, Inc. At SBH, our purpose is to inspire a more colorful, confident, and welcoming world. We are the leader in professional hair color, selling…
Build and deploy predictive models and statistical analyses to detect tax fraud and non-compliance using Python/R, SQL, and Databricks for the IRS.
Data Engineer building secure, scalable data pipelines in Python, SQL, and Databricks to power IRS fraud detection, compliance analytics, and ML workflows in a hybrid role.
Builds and maintains scalable data pipelines for healthcare datasets, harmonizing complex multimodal data (e.g., EHR, claims, wearables) into standardized formats for analytics, AI/ML, and evidence-based research.
Work Location: Mount Laurel, New Jersey, United States of America Hours: 40 Pay Details: $96,130 - $144,190 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth…
Senior Business Data Analyst ensuring accurate, timely financial data for Citi’s capital markets, risk management, and regulatory reporting. Focuses on derivatives/SFT data flows, gap analysis, documentation, and designing governance controls to automate processes and improve data quality.
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