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Accenture

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3.8

based on 62.8k Reviews

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11206 Accenture Jobs

Accenture logo

Data Scientist-FS Role

Accenture

 · 

3.8

 based on 62.8k Reviews

6-12 years

Mumbai, Gurgaon / Gurugram, Bangalore / Bengaluru

1 vacancy

Data Scientist-FS Role

Accenture

posted 3 weeks ago

Job Role Insights

Flexible timing

Key skills for the job

Private Banking Power BI Python generative ai Fraud Analysis Insurance

+ 5 more

Job Description

Roles and Responsibilities :

 Must have skills: Python Programming, Machine Learning, Statistical Analysis, Data Science, Generative AI (GPT, DALLE, GANs), Cloud (AWS/Azure/GCP), Model Deployment, API Development, Docker/Kubernetes

  • Good to have skills: PyTorch, TensorFlow, Large-Scale Data Processing, Cloud Integrations, NLP, Computer Vision, Security Best Practices, Performance Optimization, Open-Source Contributions

    Experience: Minimum 6-12+ years of experience in Data Science, Machine Learning, or related fields with a focus on Generative AI models (LLMs) and API development.

    Educational Qualification: Bachelor's or Master’s in Computer Science, Data Science, Statistics, Engineering, or related Analytics discipline from a premier institute.

    Job Summary:

    Accenture AI is seeking a talented and motivated Generative AI Data Scientist Analyst 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. This role will involve collaborating with cross-functional teams to design, develop, and implement generative AI solutions that meet our business needs.

    Roles & Responsibilities:

    Collaboration: Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions.

    Model Deployment: Containerize and deploy generative AI models using tools like Docker, Kubernetes, and cloud platforms (e.g., AWS, Azure, Google Cloud).

    API Development: Design, develop, and deploy robust APIs to expose generative AI models (e.g., GPT, DALLE, Stable Diffusion, GANs) for integration into client systems and applications.

    Client Collaboration: Work closely with clients to understand their technical requirements and deliver tailored API solutions that meet their business needs.

    Generative AI Model Integration: Integrate generative AI models into existing workflows, applications, and platforms via APIs.

    Performance Optimization: Optimize API performance for latency, scalability, and reliability, ensuring seamless user experiences.

    Data Pipeline Development: Build and maintain data pipelines to support real-time or batch processing for generative AI models.

    Security and Compliance: Implement security best practices and ensure APIs comply with data privacy and regulatory standards.

    Documentation: Create comprehensive API documentation, including usage examples, SDKs, and troubleshooting guides.

    Testing and Monitoring: Develop automated testing frameworks and monitoring systems to ensure API reliability and performance.

    Stay Updated: Keep up with the latest advancements in generative AI, API development, and cloud technologies to bring innovative solutions to clients.

    Professional & Technical Skills:

    Strong proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow, PyTorch).

    Expertise in API Development and deployment, with hands-on experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).

    Ability to build and optimize data pipelines for generative AI models.

    Knowledge of security best practices and ensuring compliance with regulatory standards.

    Strong problem-solving, analytical, and creative thinking skills to design and implement innovative solutions.

    Excellent communication skills, capable of conveying complex technical concepts to diverse audiences.

    Additional Information: 

    Experience with large-scale data processing and expertise in NLP or computer vision.

    Contributions to open-source AI/ML projects.

    Experience with cloud integrations, big data technologies, and performance optimization.

    Familiarity with security standards and regulatory compliance in AI solutions

     



Employment Type: Full Time, Permanent

Read full job description

Accenture Data Scientist Interview Questions

A Data Scientist was asked
1mo ago
Q. What is the central limit theorem?
Read all Data Scientist questions
A Data Scientist was asked
1mo ago
Q. What are the assumptions of Linear Regression?
Read all Data Scientist questions
A Data Scientist was asked
6mo ago
Q. What is the difference between bagging and boosting?
Read all Data Scientist questions
View all

What people at Accenture are saying

3.8
Rating based on 78 Data Scientist reviews

Anonymous Anonymous · Data Science & Analytics in Kolkata
Likes

Great place to work Lot of learning opportunities Lot of good projects on GenAI Usually offers reasonable hike during lateral switch

  • Salary - Excellent
  • +5 more
Dislikes

Increment during appraisal going down every year Tools/portals are complex. Need to have lots of urls. Should be under an umbrella portal.

Read 78 Data Scientist reviews

Data Scientist salary at Accenture

reported by 1.3k employees
₹7.2 L/yr - ₹28 L/yr
6% more than the average Data Scientist Salary in India
View more details

What Accenture employees are saying about work life

based on 62.8k employees
65%
85%
67%
75%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Accenture Benefits

Free Transport
Cafeteria
Work From Home
Gymnasium
Health Insurance
Soft Skill Training +6 more
View more benefits

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