S&C Global Network - AI - Software & Platform - Gen AI - Analyst

Accenture PLC; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Accenture PLC in Bengaluru and Hyderabad is seeking an Ind & Func AI Decision Science Analyst to develop and test AI algorithms, manage large datasets, and collaborate with offshore teams to deliver data-driven insights.

You will build data pipelines and apply NLP/ML techniques, contributing to cloud deployments on AWS/Azure/GCP, with 2+ years of AI project experience.

Qualifications

• 2+ years of experience in AI projects with successful outcomes.
• Hands-on with Generative AI frameworks (Azure OpenAI, Vertex AI).
• Strong knowledge of AI technologies: embedding, prompt engineering, NLP, computer vision.
• Experience building and deploying statistical models / ML: segmentation, predictive modeling, time series.

Responsibilities

• Develop and test AI algorithms tailored to complex business problems.
• Manage large databases and perform exploratory data analytics for insights.
• Investigate data lineage and root causes by asking targeted questions.
• Apply systematic problem-solving and explore multiple avenues.
• Collaborate with internal teams and external consultants to meet project goals.
• Develop and manage data pipelines to improve information flow.

Skills

Generative AI

AI frameworks

Embedding

Prompt engineering

NLP

Computer Vision

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

SQL

Python

R

Java

Spark

Job description

Entity: - Accenture Strategy & Consulting

Team: - Global Network - Data & AI

Practice: - CMT - Software & Platforms

Title: - 11 - Ind & Func AI Decision Science Analyst

Job location: - Hyderabad/Bangalore

About S&C - Global Network: - Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways.Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition

About the Team: -

The team is focused on driving Data & AI based solutions for SaaS and PaaS clients for Accenture. The team collaborates actively with onsite counterparts to help identify opportunities for growth as well as drives client deliveries from offshore.

WHAT'S IN IT FOR YOU?

• As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.
• Accenture will continually invest in your learning and growth. You'll work with experts in SaaS & PaaS and Accenture will support you in growing your own tech stack and certifications.
• In Data & AI you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative.

What you would do in this role

• Development and testing of AI algorithms and techniques, custom-tailored to effectively address and solve specific, complex business problems.
• Manage large databases proficiently, conducting exploratory data analytics to derive valuable insights for stakeholders.
• Track down and thoroughly investigate previous information related to a problem, asking probing questions to identify root causes.
• Employ a systematic approach to problem-solving, exploring known avenues and asking insightful questions to unravel the core issues.
• Work collaboratively with both internal teams and external consultants/managers to achieve project objectives.
• Develop and manage data pipelines to streamline the flow of information for enhanced efficiency.
• Demonstrate adaptability and flexibility in responding to changing project requirements.
• Proactively seek and embrace continuous learning opportunities to stay updated with the industry trends and advancement.

Job Qualifications

Who are we looking for?

• Bachelor's or master's degree in computer science, engineering, data science, or a related field.
• Experience working for large Software or Platform organizations.
• Proven experience (2+ years) in working on AI projects and delivering successful outcomes.
• Hands-On exposure to Generative AI frameworks (Azure Open AI, Vertex AI) and implementations & Strong knowledge of AI technologies, including Embedding, prompt engineering, natural language processing, computer vision, etc.
• Hands on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modelling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization.
• Ability to work with large data sets and present findings / insights to key stakeholders; Data management using databases like SQL
• Proficiency in statistical packages such as R, Python, Java, SQL, Spark, etc.
• Knowledge in training large language models and fine-tuning for specific applications or domains.
• Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models.
• Excellent analytical and problem-solving skills, with a data-driven mindset.
• Proficient in Excel, MS word, PowerPoint, etc.

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

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.

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