210 jobs for "Business Analytics Consultant"

Gen AI Engineer

At Infosys - Austin

Posted on Nov 2

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Salesforce Senior Consultant, Technical Transformation

At Deloitte - Los Angeles · Rosslyn

Posted on Nov 6

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Benefits Advisor--Medical and Pharmacy

At PNC - Cleveland

Posted on Oct 21

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FS/ AML/ KYC - Sr Con

At Infosys - New York

Posted on Oct 28

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Client Consulting Senior Manager

At Visa - London

Posted on Oct 12

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Customer Experience Management Consultant, Medallia

At Deloitte - Atlanta · Austin

Posted on Nov 6

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Benefits Advisor--Medical and Pharmacy

At PNC - Atlanta

Posted on Oct 21

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Benefits Advisor--Medical and Pharmacy

At PNC - Pittsburgh

Posted on Oct 20

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Lead AI and Data Science Engineer II- Marketing Measurement

At Deloitte - Atlanta · Austin

Posted on Nov 6

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Senior SAP BW/4HANA & Datasphere Consultant

At Kyndryl - Remote / Flexible

Posted on Oct 23

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Senior Technical Consultant - ArcGIS Enterprise | TS/SCI

At Esri - Quantico Base

Posted on Oct 15

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Clinical Sales Specialist, Dental - Southern California

At Henry Schein - Remote / Flexible

Posted on Nov 4

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Sr. Analyst, Pricing Analytics

At GoodRx - Remote / Flexible

Posted on Oct 24

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Vice President, Business Development, Ecosystem - Databricks

At Robert Half - CA SAN RAMON CORP

Posted on Nov 6

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Principal Insights Analyst - League of Legends

At Riot Games - Los Angeles

Posted on Oct 13

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Senior Consultant

At Infosys - Sao Paulo

Posted on Nov 3

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Deputy Manager - Central Tendering

At Schneider Electric - Mumbai

Posted on Oct 15

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Microsoft Dynamics Senior Consultant, Functional Transformation

At Deloitte - Atlanta · Austin

Posted on Nov 5

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ConvergeHEALTH Life Sciences - Product Forward Deployed Engineer - Products & Platforms

At Deloitte - Atlanta · Austin

Posted on Nov 4

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Life Sciences Market Access Senior Consultant

At Deloitte - Atlanta · Austin

Posted on Nov 4

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Infosys

Gen AI Engineer

AustinPosted 7 days ago

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In the assigned Job Role of Data Science Consultant 2, your Area Of Responsibility will be as below:
• Develop data preparation tasks, while identifying patterns or anomalies.
• Ensure data readiness for advanced modeling.
• Develop models for complex use cases (e.g., forecasting models, LLM-based solutions), while refining algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready solutions.
• Conduct testing and optimize algorithms for performance, reliability, and scalability, while providing guidance to team members in best practices.
• Design and develop predictive models and data-driven analyses to address business challenges.
• Build, evaluate, and deploy models, standardize code, and contribute to knowledge management.
• Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions.
• Define analytics problems for projects; execute visualization, analysis, and predictive modeling under guidance.
• Proactively maintain models and implement improvements for accuracy and reliability.
• Apply governance controls to mitigate risks and ensure compliance.
• Analyze performance trends, recommend improvements, and document discrepancies for escalation.
• Maintain comprehensive documentation standards, while participating in knowledge transfer sessions.
• Participate in discussions with stakeholders to refine requirements, provide insights, and guide implementation of models.
• Apply the predefined quality measurement framework at an individual task level in the project.
• Deploy complex analytics tools or multi-system integration, while validating deployment success.
• Participate in developing scripts or templates for repeated deployments tasks.
• Contribute to analytic solutions, IP asset creation, and training initiatives.
• Contribute to thought leadership such as papers, innovative non-ML, ML, deep learning or LLM models, and proofs of concepts.
• Participate in and deliver analytics training, while contributing to content creation.
• Provide input for segment and unit-level business plans.

Your contribution to the team:

• Deliver scalable, high-quality analytics solutions aligned to business needs.
• A knack for optimization, deployment and performance improvement of models.
• The ability to drive innovation through advanced analytics, automation and thought leadership.
• Enable team growth through knowledge sharing, training and standardization.
• Support business planning with data-driven insights.

About Infosys

https://www.infosys.com

Size: 10,000+ employees
Industry: Consulting

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