채용
- Job Title
- S&C GN - Data Science Consultant
Location: Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad
Experience & Educational Qualification:
· PhD with 2+ years of relevant experience, OR.
· Master’s degree with 3+ years of experience, OR
· Bachelor’s degree with 4+ years of experience.
We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), generative ai, and advanced analytics.
Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints.
If you're passionate about applying data science to solve real-world customer experience challenges, this is the team for you!
Key Responsibilities:
As a Data Science Consultant, you will:
· Develop and fine-tune Generative AI models to automate responses and improve customer interactions.
· Build and deploy ML models for intent classification, sentiment analysis, and predictive analytics.
· Apply NLP techniques (NER, summarization, embeddings) using frameworks like Hugging Face, Lang Chain, and OpenAI APIs.
· Optimize conversational AI workflows for real-time decision-making and enhanced self-service.
· Analyze large-scale customer interaction data to extract actionable insights.
· Work with unstructured data (text, audio, chat, emails) to build robust AI/ML pipelines.
· Collaborate with cross-functional teams (engineering, product, marketing) to integrate AI solutions.
· Leverage cloud platforms (Azure, AWS, GCP) for scalable AI/ML development and deployment.
Required Skills:
Technical Must-Haves
· Python programming
· Advanced data manipulation (Pandas, Num Py)
· SQL or Py Spark
· Machine Learning & Deep Learning (Scikit-learn, Py Torch/Tensor Flow)
· NLP and NLP Frameworks (NER, summarization, embeddings, Hugging Face, Lang Chain)
· Generative AI (LLMs, Transformers, Diffusion Models)
· Retrieval-Augmented Generation (RAG)
· Prompt Engineering
· Unstructured Data Handling (text, chat, emails)
Good to Have Skills:
· LLM Optimization (fine-tuning, prompt engineering, efficient deployment)
· Experience with cloud-native AI/ML services (Azure ML, AWS Sagemaker, GCP Vertex AI)
· Customer segmentation and behavioral analysis
· Conversational AI optimization
· Large-scale data analysis
· Agentic AI (multi-agent orchestration, memory, autonomous workflows)
· Unstructured Data Handling (audio)
About Our Company | Accenture
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 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
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.
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About Accenture

Accenture
PublicLet there be change.
10,001+
Employees
Dublin
Headquarters
Reviews
4.0
10 reviews
Work Life Balance
3.5
Compensation
4.0
Culture
4.2
Career
4.1
Management
4.0
75%
Recommend to a Friend
Pros
Great learning and development opportunities
Supportive and collaborative work environment
Good career growth and networking opportunities
Cons
Need to be proactive in finding projects
Long hours during busy periods
Very competitive environment for advancement
Salary Ranges
33 data points
L2
L3
L4
L5
L6
M3
M4
M5
M6
L2 · Business Operations L2
0 reports
$55,250
total / year
Base
$22,100
Stock
$27,625
Bonus
$5,525
$38,675
$71,825
Interview Experience
6 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
17%
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical/Task-Based Interview
4
Final Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Case Study
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