Accenture AI is seeking a talented and motivated Generative AI Data Scientist Lead to join our Banking team. The ideal candidate will leverage their expertise in Generative AI models, Machine Learning, Data Analysis and Cloud Platforms to drive and lead the development & delivery of the innovative solutions and enhance our AI capabilities.
Locations (3)
Gurgaon, India
Bangalore, India
Mumbai, Maharashtra, India
Responsibilities
Take ownership of end-to-end project delivery, from problem definition to solution deployment, with minimal supervision.
Lead and mentor a small development pod (team) of data scientists and engineers, ensuring collaboration, innovation, and timely delivery of high-quality solutions.
Design, develop, and deploy state-of-the-art generative AI models (e.g., GPT, DALL·E, Stable Diffusion, GANs) for applications such as text generation, image synthesis, content creation, and more.
Provide strategic recommendations to clients on how to integrate generative AI into their workflows and business processes.
Ensure responsible use of generative AI by addressing biases, ethical concerns, and compliance with regulations.
Requirements
Master’s or Ph.D. in Computer Science, Data Science, Statistics, or related field
Accenture AI is seeking a talented and motivated Generative AI Data Scientist Consultant to join our Banking team. The ideal candidate will leverage their expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms to develop innovative solutions and enhance AI capabilities.
Locations (3)
Gurgaon, India
Bangalore, India
Mumbai, Maharashtra, India
Responsibilities
Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions.
Containerize and deploy generative AI models using tools like Docker, Kubernetes, and cloud platforms (e.g., AWS, Azure, Google Cloud).
Design, develop, and deploy robust APIs to expose generative AI models (e.g., GPT, DALL·E, Stable Diffusion, GANs) for integration into client systems and applications.
Lead cross‑functional teams in designing, developing, and deploying advanced AI agents and multi‑modal AI solutions that autonomously execute complex business workflows.
Locations (2)
Bangalore, Karnataka, India
Gurugram, Haryana, India
Responsibilities
Oversee end‑to‑end lifecycle of AI projects
Provide thought leadership on Gen AI and Agentic AI technologies
Define and communicate strategic vision for AI agent solutions
Act as trusted advisor to clients
Drive discussions on Gen AI best practices, risk management, AI safety, and governance
Requirements
Bachelor's or Master's degree (BE/BTech/MBA/MS) in Statistics, Computer Science, Mathematics, AI/ML, or related disciplines
Support geospatial intelligence production and advance data analytics processes at the National Air and Space Intelligence Center (NASIC).
Responsibilities
Apply advanced data science methods to analyze and exploit GEOINT and complementary datasets within a GIS framework to support intelligence production.
Develop and refine analytical approaches that address key intelligence questions and evolving mission needs.
Design, develop, and deploy dynamic geospatial web applications, tools, dashboards, and workflows.
Collaborate with multidisciplinary teams to translate operational needs into effective geospatial analyses and decision-ready products.
Communicate findings through clear technical writing, visualizations, briefings, and demonstrations.
Requirements
Bachelor’s degree or higher in computer science, data science, statistics, mathematics, geography, or another relevant STEM field.
Quantitative Research Analyst focusing on equity market microstructure and systematic investment strategies.
Responsibilities
Analyse equity trading dynamics, liquidity, price formation, order flows and market impact using large-scale market and transaction datasets
Research and develop predictive indicators and systematic investment strategies combining market microstructure, trading activity and stock characteristics
Apply advanced statistical methods, machine learning and data science techniques to identify patterns and extract actionable signals from financial data
Design robust backtesting frameworks, assess predictive power and strategy performance across different market environments
Contribute to the development, automation and monitoring of quantitative indicators ensuring data quality, computational efficiency and reliability
Requirements
Master's degree or engineering degree from a leading university or Grande École, specialising in Applied Mathematics, Statistics, Data Science, Quantitative Finance or a related field
We are looking for an experienced and skilled Machine Learning Lead to design, develop, and deploy our ML-based projects, expert in Model inference - starting for routing to model optimization, KV cache optimization, Model training.
Locations (2)
Sunnyvale, California, United States
Austin, Texas, United States
Compensation
Salary Range: $55.00 - $58.00/Hour on W2 (Without Benefits).
Responsibilities
Collect and preprocess data sets from various sources and integrate them into our proprietary platforms.
Develop predictive models from data, including extensive exploratory data analysis, model developments for various business use cases, and report performance feedback of models.
Perform statistical analysis and constantly monitor the effectiveness of the deployed models.
Analyze, architect, and implement appropriate machine learning infrastructure for data processing.
Partner with security and IT to ensure data privacy and security.
Strong hands-on expertise in Python and end-to-end AI/ML model development, including data preparation, feature engineering, training, evaluation, optimization, and production integration.
Compensation
Salary Range: $52.00 - $55.00/Hour on W2 (Without Benefits).
Responsibilities
Analyze business and technical requirements and design scalable AI/ML solutions aligned with enterprise architecture, security, privacy, and responsible AI standards.
Develop, train, evaluate, tune, and document machine learning, deep learning, NLP, and Generative AI models using Python, TensorFlow, and/or PyTorch.
Design and implement LLM-based applications and Retrieval-Augmented Generation pipelines using embeddings, vector databases, prompt engineering, orchestration frameworks, and appropriate evaluation methods.
Collaborate with data engineering, application, cloud, DevOps, QA, architecture, product, and business teams to integrate models into enterprise platforms through APIs and microservices.
Implement production-readiness practices including automated testing, CI/CD, containerization, model versioning, monitoring, observability, drift detection, performance optimization, troubleshooting, and continuous improvement.
Strong hands‑on expertise in Python and end‑to‑end AI/ML model development, including data preparation, feature engineering, training, evaluation, optimization, and production integration.
Compensation
Pay rate: $50-$60/hr on W2/C2C
Responsibilities
Analyze business and technical requirements and design scalable AI/ML solutions aligned with enterprise architecture, security, privacy, and responsible AI standards.
Develop, train, evaluate, tune, and document machine learning, deep learning, NLP, and Generative AI models using Python, TensorFlow, and/or PyTorch.
Design and implement LLM‑based applications and Retrieval‑Augmented Generation pipelines using embeddings, vector databases, prompt engineering, orchestration frameworks, and appropriate evaluation methods.
Collaborate with data engineering, application, cloud, DevOps, QA, architecture, product, and business teams to integrate models into enterprise platforms through APIs and microservices.
Implement production‑readiness practices including automated testing, CI/CD, containerization, model versioning, monitoring, observability, drift detection, performance optimization, troubleshooting, and continuous improvement.
Develop predictive models and advanced analytics solutions to support customer and agent-related business initiatives within a large insurance organization.
Compensation
Competitive salary and performance-based bonuses
Responsibilities
Develop and deploy predictive and prescriptive analytics models
Apply machine learning, statistical analysis, and data mining techniques
Analyze large datasets to uncover trends and actionable recommendations
Design, build, and maintain scalable, production-ready analytical solutions
Partner with business stakeholders to translate objectives into analytical approaches
Requirements
Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Computer Science, or a related quantitative field
Nice to have: Master's degree in Data Science, Statistics, Mathematics, Analytics, or related field
Nice to have: Experience within P&C Insurance, Banking, Financial Services, or similar highly regulated industries
Nice to have: Experience supporting customer service operations or call center environments
Nice to have: Experience with call routing optimization, workforce optimization, or contact center analytics
Subject matter expert in missile seeker development, responsible for architecture, design, development, verification, and strategic leadership of seeker and guidance technology.
Compensation
Full-Time Salary Range: $153377 - $260743
Responsibilities
Act on a wide breadth of design and development experience for Tactical Embedded Systems through full system life cycle development, including subsystem design, system requirements, implementation, integration, and test
Provide subject matter expertise in advancing Architecture, Design, and Development, and support technical leadership of projects within programmatic guidelines set by the customer and the Product Line
Lead complex trade studies to evaluate competing architectural approaches, balancing performance, cost, schedule, and Size, Weight, and Power (SWaP) constraints
Help drive the technical strategy, scope management, and planning phases for seeker development programs to align with Product Line goals
Define and govern the critical interfaces between the RF front-end, digital signal processing (DSP) layers, and the flight control software
GIS Data AnalystNewNextGen Federal Systems · Wright-Patterson AFB, US
QUANTITATIVE RESEARCH ANALYST - PARISNewKepler Cheuvreux · Paris, France
Seeker Systems TechnologistNewBAE Systems · Huntsville, US