S&C Global Network - AI - Software & Platform - Gen AI - Consultant 7

Accenture; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Accenture is hiring a 9 - Ind & Func AI Decision Science Consultant in Bengaluru (Bangalore/Hyderabad) to join the Data & AI practice. You will lead AI algorithms, analytics, and data-driven insights to drive client performance.

The role emphasizes Generative AI applications, exposure to cloud platforms, and collaboration with global teams across SaaS & PaaS domains. The candidate should have 4+ years of relevant experience, a BTech/B.E., and strong skills in Python, SQL, and AI techniques

Qualifications

• 4+ years of experience in AI/Decision Science roles.
• Hands-on experience with generative AI frameworks and implementations.

Responsibilities

• Develop and test AI algorithms tailored to business problems.
• Manage large datasets and perform exploratory data analytics for stakeholders.
• Investigate problems, identify root causes, and propose data-driven solutions.
• Build and maintain data pipelines to improve data flow and insights.
• Collaborate with internal teams and external consultants to meet project goals.
• Demonstrate adaptability to changing project requirements and learn continuously.
• Communicate findings and insights to business leaders.

Skills

Gen AI

Education

Btech/ BE

Tools

Python

SQL

AWS

Azure

Google Cloud

Job description

Job Title :

9 - Ind & Func AI Decision Science Consultant

Management Level :

9- Consultant

Location:

Bangalore/ Hyderabad

Must have skills:

Gen AI

Good to have skills:

Python, SQL

Experience:

4+ years

Educational Qualification:

Btech/ BE

Job Summary:

• 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.

Roles & Responsibilities:

• 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.

Qualification

Professional & Technical Skills:

• 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 (4+ 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.

Additional Information:

• 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.

(with Hyperlink)