2,333 jobs for "Data Analytics"

Portfolio Analytics & Strategy Specialist

At PNC Financial Services Group - Houston

Posted on Nov 6

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Portfolio Analytics & Strategy Specialist

At PNC Financial Services Group - Brecksville

Posted on Nov 6

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Quantitative Analytics and Model Consultant - Fraud Model Validation

At PNC Financial Services Group - Vienna

Posted on Nov 6

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Business Analytics Consultant - Power BI

At PNC Financial Services Group - Brecksville

Posted on Nov 6

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IND Lead Engineer, Data

At The Hartford - Hyderabad

Posted on Nov 6

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Data Engineer, Aladdin Data, Associate

At BlackRock - Mumbai

Posted on Nov 6

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Manager, Data Scientist - Optimization

At Capital One - New York · McLean

Posted on Nov 6

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Senior Business Analyst - Operations Performance & Analytics

At Capital One - Richmond

Posted on Nov 6

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Data Scientist

At Leidos - Odenton

Posted on Nov 5

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Portfolio Analytics & Strategy Specialist - GenAI

At PNC Financial Services Group - Pittsburgh

Posted on Nov 5

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Business Analytics Consultant - Power BI

At PNC Financial Services Group - Pittsburgh

Posted on Nov 5

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Portfolio Analytics & Strategy Specialist - GenAI

At PNC Financial Services Group - Pittsburgh

Posted on Nov 5

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Business Analytics Consultant - Power BI

At PNC Financial Services Group - Pittsburgh

Posted on Nov 5

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Lead Data Scientist

At Nike - Beaverton

Posted on Nov 4

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ETS Principal Solution Engineer-Member Master Data Management

At Navy Federal Credit Union - Vienna

Posted on Nov 4

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Senior Business Manager, Product Analytics

At Capital One - McLean · Richmond

Posted on Nov 4

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Senior Manager, Data Science

At TD Bank - Toronto

Posted on Nov 3

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Manager, Data Science

At TD Bank - Toronto

Posted on Nov 3

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Quantitative Analytics & Model Consultant Senior - Capital Markets Models

At PNC Financial Services Group - Tysons Corner

Posted on Nov 3

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Quantitative Analytics & Model Consultant Senior - Capital Markets Models

At PNC Financial Services Group - New York

Posted on Nov 3

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The Hartford

IND Lead Engineer, Data

Hyderabad, IndiaPosted 3 days ago

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Why you should apply for a job to The Hartford:

Ranked as one of the Best Companies Where CEOs Support Gender Diversity in 2022
4.5/5 in overall job satisfaction
4.5/5 in supportive management
76% say women are treated fairly and equally to men
87% would recommend this company to other women
90% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

IND - Lead Engineer, Data - GCC063
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

• Experience in statistical modeling, machine learning, and advanced analytics using Python, including pandas, NumPy, scikit-learn, and strong SQL for complex data exploration, feature engineering, and knowledge preparation; familiarity with PyTorch and/or TensorFlow preferred.

• Experience across the end-to-end modeling and analytics lifecycle, including requirements gathering, experiment design, offline evaluation, and basic production monitoring and validation of AI and BI solutions.

• Solid understanding and practical application of core machine learning, deep learning, and natural language processing algorithms and architectures.

• Experience designing and implementing business intelligence and semantic layer solutions, including dimensional modeling, fact tables, metrics definition, and operating within data warehouse or data lake environments.

• Experience designing and operationalizing evaluation and monitoring strategies, including test set creation (gold and/or synthetic), defining and tracking metrics such as classification, forecasting, ranking/IR, RAG faithfulness and truthfulness, and customer or operational KPIs, with support for A/B testing and drift detection.

• Experience designing, developing, and deploying conversational AI solutions, including chatbots, virtual assistants, intelligent agents, and Retrieval-Augmented Generation (RAG) pipelines.

• Experience working with unstructured data, including document parsing and OCR fundamentals, robust text normalization, metadata and lineage awareness, and PII detection or redaction considerations for insurance documents.

• Experience working with cloud-based AI and analytics platforms such as Google Vertex AI, AWS SageMaker or Bedrock, or Azure AI Services, supporting experimentation, deployment, and conversational AI use cases.

• Experience using Git and Unix-based environments, building reproducible notebooks or pipelines, and applying basic container and cloud concepts to support reliable analytics and AI workflows.

• Experience communicating complex technical designs, trade-offs, evaluation results, and risks to both highly technical and non-technical business audiences, translating insights into clear business outcomes and strategy.

• Foundational knowledge of insurance products, processes (including underwriting, claims, and pricing), and regulatory environments, with demonstrated ability to apply analytics and AI solutions within a regulated industry context.

• Experience with advanced NLP and Generative AI capabilities, including embeddings, hybrid and dense retrieval strategies, advanced chunking, prompt engineering, structured outputs, and integrating knowledge graphs into RAG solutions for improved grounding.

• Experience or exposure to advanced GenAI applications in insurance, such as compliance-aware prompt engineering, document generation, objection response automation, synthetic data generation for low-frequency events, and customer sentiment modeling from surveys, call transcripts, or inspection notes.

• Experience working within enterprise AI governance frameworks, aligning conversational AI and analytics solutions with compliance, privacy, documentation, and ethical standards.

About The Hartford

We focus on innovation, inclusion, equity and flexibility – and are committed to giving our employees what they need to achieve amazing things.

Size: 10,000+ employees
Industry: Insurance: Property & Casualty

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