Urgent! Data Scientist Job Opening In New Delhi – Now Hiring Three Across
Job Title: Data Scientist
Experience: 5+ Years
Location: Remote/ Indore/ Mumbai/ Chennai/ Gurugram
Industry: Must be from BPO/KPO or Healthcare Org.
or Shared Services
Key Responsibilities:
AI/ML Development & Research
Design, develop, and deploy advanced machine learning and deep learning models to solve complex business problems.
Implement and optimize Large Language Models (LLMs) and Generative AI solutions for real-world applications.
Build agent-based AI systems with autonomous decision-making capabilities.
Conduct cutting-edge research on emerging AI technologies and explore their practical applications.
Perform model evaluation, validation, and continuous optimization to ensure high performance.
Cloud Infrastructure & Full-Stack Development:
Architect and implement scalable, cloud-native ML/AI solutions using AWS, Azure, or GCP.
Develop full-stack applications that seamlessly integrate AI models with modern web technologies.
Build and maintain robust ML pipelines using cloud services (e.g., SageMaker, ML Engine).
Implement CI/CD pipelines to streamline ML model deployment and monitoring processes.
Design and optimize cloud infrastructure to support high-performance computing workloads.
Data Engineering & Database Management
Design and implement data pipelines to enable large-scale data processing and real-time analytics.
Work with both SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data.
Optimize database performance to support machine learning workloads and real-time applications.
Implement robust data governance frameworks and ensure data quality assurance practices.
Manage and process streaming data to enable real-time decision-making.
Leadership & Collaboration
Mentor junior data scientists and assist in technical decision-making to drive innovation.
Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to develop solutions that align with organizational goals.
Present findings and insights to both technical and non-technical audiences in a clear and actionable manner.
Lead proof-of-concept projects and innovation initiatives to push the boundaries of AI/ML applications.
Required Qualifications:
Education & Experience
Master’s or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field.
5+ years of hands-on experience in data science and machine learning, with a focus on real-world applications.
3+ years of experience working with deep learning frameworks and neural networks.
2+ years of experience with cloud platforms and full-stack development.
Technical Skills - Core AI/ML
Machine Learning: Proficient in Scikit-learn, XGBoost, LightGBM, and advanced ML algorithms.
Deep Learning: Expertise in TensorFlow, PyTorch, Keras, CNNs, RNNs, LSTMs, and Transformers.
Large Language Models: Experience with GPT, BERT, T5, fine-tuning, and prompt engineering.
Generative AI: Hands-on experience with Stable Diffusion, DALL-E, text-to-image, and text generation models.
Agentic AI: Knowledge of multi-agent systems, reinforcement learning, and autonomous agents.
Technical Skills - Development & Infrastructure
Programming: Expertise in Python, with proficiency in R, Java/Scala, JavaScript/TypeScript.
Cloud Platforms: Proficient with AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI.
Databases: Proficiency with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, DynamoDB).
Full-Stack Development: Experience with React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes.
MLOps: Experience with MLflow, Kubeflow, model versioning, and A/B testing frameworks.
Big Data: Expertise in Spark, Hadoop, Kafka, and streaming data processing.
Non Negotiables:
Cloud Infrastructure - ML/AI solutions on AWS, Azure, or GCP
Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)
Implement CI/CD pipelines for ML model deployment and monitoring
Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)
Machine Learning: Scikit-learn
Deep Learning: TensorFlow
Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript
Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda)
vector databases and embeddings (Pinecone, Weaviate, Chroma)
Knowledge of LangChain, LlamaIndex, or similar LLM frameworks.
If interested, please share your resume to
sunidhi.manhas@portraypeople.com
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Data Scientist Potential: Insight & Career Growth Guide
Real-time Data Scientist Jobs Trends in New Delhi, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Scientist in New Delhi, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 152995 jobs in India and 5129 jobs in New Delhi. This comprehensive analysis highlights market share and opportunities for professionals in Data Scientist roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Three Across is currently hiring and seeking a Data Scientist to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Scientist Jobs New Delhi.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Three Across adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Scientist Jobs India varies, but the pay scale is rated "Standard" in New Delhi. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Scientist typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Data Scientist, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Scientist interview at Three Across, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Three Across's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Data Scientist is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!
