S&C Global Network - AI - Resources - Data Science Analyst
Quick Summary
1-5 years in data science Education: Bachelor's / master’s degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge: Preferred experience in Utilities,
Responsibilities
~1 min read- Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks.
- Develop predictive models, recommendation systems, and optimization solutions tailored to business needs.
- Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data.
- Build MLOps pipelines for model training / retraining, monitoring, and scalability
- Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau.
- Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making.
- Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects.
- Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale.
- Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex
- Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications.
- Architect deployment solutions, including API development and seamless integration with existing systems.
Requirements
~2 min read- Experience: 1-5 years in data science
- Education: Bachelor's / master’s degree in computer science, statistics, applied mathematics, or a related field.
- Industry Knowledge: Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product
Visit us at www.accenture.com
- Programming: Proficiency in Python, SQL and Pyspark.
- GenAI Expertise:
- Hands-on experience in building GenAI based applications and solutions
- Experience in deploying GenAI application in production.
- Cloud Platforms: Experience with Azure / AWS / GCP
- Visualization Tools: PowerBI / Tableau
Nice to Have
~1 min read- Strong analytical and problem-solving skills with a results-oriented mindset.
- Good communication and stakeholder management capabilities.
- Very good in generating business insights and presenting to stakeholders.
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Location & Eligibility
Listing Details
- First seen
- September 27, 2026
- Last seen
- September 27, 2026
Posting Health
- Days active
- 1
- Repost count
- 0
- Trust Level
- 55%
- Scored at
- September 29, 2026
Signal breakdown
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