Ind & Func Decision Science Senior Analyst

Posted:
11/25/2024, 8:19:57 PM

Location(s):
Bengaluru, Karnataka, India ⋅ Karnataka, India

Experience Level(s):
Senior

Field(s):
AI & Machine Learning ⋅ Data & Analytics

Job Title: Ind & Func Decision Science Senior Analyst

Location: Bangalore (BDC7C)

Experience Level: 2+ Years

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.

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.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com 

Equal Employment Opportunity Statement


All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

Industries: Business Information Systems ⋅ Construction ⋅ Consulting ⋅ Information Services ⋅ Information Technology ⋅ Infrastructure ⋅ Management Consulting ⋅ Outsourcing