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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.
Line of Service Advisory Industry/Sector Not Applicable Specialism Technology Strategy Management Level Manager Job Description & Summary At PwC, our people in Cloud, Data and AI focus on leveraging data to drive…
Lead Data Engineer building and optimizing ETL/data pipelines on Azure (Data Factory, Databricks, ADLS Gen2, Synapse) using Python/PySpark, while mentoring a team and ensuring data quality and governance.
Design and build dashboards in Tableau/Power BI to analyze customer contact trends using Amazon Connect data, transforming raw interactions into actionable insights for Barclays' performance and customer outcomes.
Lead Data Engineer on the Customer 360 Data Product, responsible for designing data integration pipelines, building scalable cloud data capabilities, and governing data products across the Customer & Sales domain.
Senior Data Engineer building and optimizing data products and ETL pipelines on AWS and Snowflake to fuel analytical models for Sun Life's Client Experience Office in Toronto.
Senior Business Analyst acting as a subject matter expert on Army logistics ERP systems, translating business needs into actionable technology solutions using SQL, Python, and data analysis tools to support the Army Logistics enterprise.
Senior Data Scientist building end-to-end traditional ML and advanced analytics solutions—forecasting, optimization, clustering, regression, and recommendation systems—using Python, PySpark, SQL, and Databricks on large-scale datasets.
Design, build, and maintain scalable data ingestion and transformation pipelines using Databricks, Python, PySpark, and SQL in cloud environments to support analytics and AI initiatives.
Builds and maintains ML pipelines and data infrastructure for a large Mexican bank, focusing on scalable analytics and automation using Python, PySpark, and big-data tooling.
Аналитик данных в Сбербанке исследует банковские сервисы для юридических лиц, используя SQL/Python/PySpark и Hadoop/Spark, чтобы выявлять закономерности и улучшать клиентский опыт. Разрабатывает скрипты для анализа данных и взаимодействует с бизнес-заказчиками для решения задач Ad-hoc.
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