Accenture - Data Science Analyst - Generative AI (4-9 yrs)

Job Description :

Job Title : Ind & Func Decision Science Senior Analyst

Location : Multiple Locations( Gurugram,Kolkata,Mumbai,Hyderabad,Bangalore,)

Experience Level : 3+ Years

NOTE : Data science, Gen AI Skills are mandate.

About the Role :

We are seeking a highly skilled and motivated Data Science Analyst to lead innovative projects and drive impactful solutions. This role combines hands-on technical expertise, to execute cutting-edge projects in Generative AI, decision science, and cloud-based analytics.

Key Responsibilities :

- Model Development: Design, implement, and optimize AI/ML models (both supervised and unsupervised) to address complex business challenges.

- Data Handling: Conduct data preprocessing, feature engineering, and model validation while analyzing large datasets for insights.

- Anomaly Detection & Time Series: Develop models for anomaly detection and perform time series analysis.

- Collaboration: Work with cross-functional teams to define project objectives and gather requirements for successful delivery.

- Continuous Learning: Stay abreast of AI/ML advancements to enhance model performance.

- Documentation: Maintain thorough documentation for models, algorithms, and processes.

- Technical Skills: Utilize Python, PySpark, SQL, Excel, and Databricks for data analysis and model deployment.

Job Qualifications :

Required Qualifications :

- Education: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.

- Experience: Over 2 years in data science, machine learning, and AI.

- Technical Proficiency: Strong skills in Python, PySpark, SQL, Excel; experience with anomaly detection and time series analysis.

- Advanced Knowledge: Experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) concepts is a plus.

Preferred Skills :

- Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies.

- Knowledge of data visualization tools (e.g., Tableau, Power BI).

- Experience with containerization technologies like Docker and Kubernetes.

- Understanding of data integration and ETL processes.