Principal applied data science Jobs

Principal Applied Data Science Expert
Weekday —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Quick apply
2d
Principal Applied Data Science
Weekday —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Quick apply
2d
Principal Data Science Lead
Haleon —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
3d
Principal Data Scientist
Benovymed Healthcare —Delhi, Delhi
- Doctoral degree
- Master's degree
- Databases
Principal Data Scientist
Takeda Pharmaceutical —Bengaluru, Karnataka
- Full-time
- Research
- Master's degree
- SQL
- Health insurance
- Cell phone reimbursement
Lead Product Owner
OTSI —Bangalore City, Bengaluru, Karnataka
- ₹20,00,000 - ₹40,00,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- SQL
Quick apply
14d
Principal Data Scientist
Hilabs —Pune, Maharashtra
- Computer Science
- Master's degree
- Analysis skills
Sr Principal Data Scientist
GE Vernova —Bengaluru, Karnataka
- Full-time
- Computer Science
- Data analysis skills
- English
8d
Director - Data Science
Crayon Data —Cannanore, Kerala
- Full-time
- Azure
- Doctoral degree
- Master's degree
Principal Data Scientist
Warner Bros. Discovery —Hyderabad, Telangana
- Doctoral degree
- Computer Science
- Master's degree
Statistical Science Director
Thermo Fisher Scientific —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- English
- Master's degree
Principal Applied Scientist
Microsoft —Hyderabad, Telangana
- Full-time
- Azure
- Doctoral degree
- Engineering
Principal Data Engineer
Eaton —Pune, Maharashtra
- Microsoft Access
- Computer Science
- Master's degree
Senior Principal Engineer Autonomous Factory Strategy & Innovation
Infineon Technologies AG —Malacca, Andaman and Nicobar Islands
- Full-time
- Computer Science
- Engineering
- Programmable logic controllers
Principal GIS Consultant - GeoAI & Spatial Intelligence
WSP —Bengaluru, Karnataka
- Hybrid work
- Azure
- Engineering
- SQL
6d
Lead Product Owner
Kenvue —Bengaluru, Karnataka
- Hybrid work
- Doctoral degree
- Data analysis skills
- Master's degree
Senior Principal Data Scientist
Optum —Hyderabad, Telangana
- Full-time
- Azure
- Doctoral degree
- Computer Science
- Health insurance
Principal Image Analysis Scientist, Digital Pathology
Amgen —Hyderabad, Telangana
- Computer science
- Doctoral degree
- Master's degree
Principal AI Research Engineer
Level AI —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Computer Science
- Research
- Master's degree
Quick apply
14d
Senior Principal Infrastructure Services (SRE Practice)
Northern Trust Corp. —Pune, Maharashtra
- Full-time
- Computer Science
- DevOps
- Java

I want to receive the latest job alerts for principal applied data science

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

principal applied data science jobs near

Lead Product Owner jobs in Bengaluru, Karnataka

Principal Data Scientist jobs in Bengaluru, Karnataka

Data Engineer jobs in Pune, Maharashtra

Principal Scientist jobs in Hyderabad, Telangana

Data Scientist jobs in Bengaluru, Karnataka

Principal Software Engineer jobs in Bengaluru, Karnataka

Principal Data Scientist jobs in Hyderabad, Telangana

Site Reliability Engineer jobs in Pune, Maharashtra

Product Manager jobs in Pune, Maharashtra

Lead Product Owner jobs in Noida, Uttar Pradesh

Product Photography jobs in Delhi, Delhi

Principal Data Scientist jobs in Punjab

Data Entry jobs in Ghaziabad, Uttar Pradesh

Data Annotations, Telus International jobs in Noida, Uttar Pradesh

Principal Data Scientist jobs in Ludhiana, Punjab

Internship, Data Scientist jobs in Vadodara, Gujarat

Data Engineer jobs in Infopark Kochi, Kochi, Kerala

Freelance, Data Entry jobs in Kolkata, West Bengal

Network Engineer jobs in Gandhinagar, Gujarat

Data Entry, Work From Home jobs in Thiruvananthapuram, Kerala

Principal Applied Data Science Expert

Weekday -
Bengaluru, Karnataka

Quick apply

Job details

Full-time
2 days ago

Qualifications

TensorFlow
CI/CD
Doctoral degree
Computer Science
PyTorch
Software deployment
Master's degree
Databases
Analysis skills
Sentiment analytics
Machine learning
Distributed systems
Continuous integration
Natural language processing
Data science
AI
Communication skills
Python
Data Science

Full job description

This role is for one of our clients

Industry: Software Development

Seniority level: Mid-Senior level

Min Experience: 13 years

Location: Bengaluru

JobType: full-time

We are seeking an experienced and visionary Principal Applied Data Scientist to lead the design, development, and deployment of cutting-edge AI and Machine Learning solutions. This role is ideal for a highly accomplished professional with deep expertise in Machine Learning, Large Language Models (LLMs), and Natural Language Processing (NLP), along with a proven track record of translating research into scalable, production-grade applications.

As a technical leader, you will work closely with cross-functional teams to solve complex business problems, define AI strategy, and mentor high-performing data science teams. You will drive innovation across the AI lifecycle—from problem formulation and model development to deployment, monitoring, and continuous optimization.

Requirements

Key Responsibilities

Lead the architecture, design, and implementation of advanced Machine Learning and AI solutions for enterprise-scale applications.
Build, fine-tune, and optimize Large Language Models (LLMs) for domain-specific use cases, including conversational AI, information retrieval, summarization, and intelligent automation.
Develop and enhance NLP pipelines for text classification, semantic search, entity recognition, sentiment analysis, document understanding, and knowledge extraction.
Design scalable ML systems using modern MLOps practices, ensuring reliability, reproducibility, and operational excellence.
Collaborate with engineering, product, and business stakeholders to identify AI opportunities and translate requirements into impactful solutions.
Evaluate emerging AI technologies, foundation models, and research trends to drive continuous innovation.
Establish best practices for experimentation, model evaluation, responsible AI, and performance optimization.
Mentor senior data scientists and engineers, providing technical leadership and fostering a culture of excellence and innovation.
Drive end-to-end deployment of AI models while ensuring scalability, security, and compliance with organizational standards.
Communicate technical concepts and strategic recommendations effectively to executive leadership and business stakeholders.

Required Skills & Qualifications

13–21 years of professional experience in Data Science, Artificial Intelligence, or Machine Learning, with significant experience leading complex AI initiatives.
Strong expertise in Machine Learning, including supervised, unsupervised, deep learning, and reinforcement learning techniques.
Extensive hands-on experience with Large Language Models (LLMs), prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), model evaluation, and AI agents.
Deep understanding of Natural Language Processing (NLP) concepts, transformer architectures, embeddings, and language understanding techniques.
Strong proficiency in Python and experience with frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, or similar ecosystems.
Experience with vector databases, model serving, distributed computing, and cloud-native AI platforms.
Solid understanding of MLOps, model lifecycle management, CI/CD for ML, and production deployment strategies.
Experience working with large-scale structured and unstructured datasets and modern data engineering practices.
Strong analytical, problem-solving, and communication skills with the ability to influence technical and business decisions.

Preferred Qualifications

PhD or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative discipline.
Contributions to AI research, patents, publications, or open-source initiatives are highly valued.
Experience leading enterprise AI transformation programs and mentoring large technical teams.
Familiarity with responsible AI frameworks, governance, explainability, and ethical AI practices.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Quick apply

Refine Your Search

Principal Applied Data Science Expert