Prepare for Your GlaxoSmithKline Pharmaceuticals Interview with Real Experiences!
View interviews
AmbitionBox
Search
Jobs
- Reviews
- Salaries
- Interview Questions
- About Company
- Benefits
- Jobs
- Office Photos
- Community
Add office photos
All Filters
31 GlaxoSmithKline Pharmaceuticals Jobs
Senior Lead Data Scientist
7-12 years
Bangalore / Bengaluru
1 vacancy
Senior Lead Data Scientist
GlaxoSmithKline Pharmaceuticals
posted 1 week ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Job Overview:
The Senior Lead Data Scientist is a senior technical leader responsible for designing, developing advanced data and AI solutions, with a strategic focus on leveraging Generative AI technologies (e.g., large language models, diffusion models, multi-modal systems) to solve complex business problems. This role combines deep expertise in data science, machine learning, and AI architecture with a strong understanding of product strategy, cross-functional leadership, and ethical AI deployment.
Key Responsibilities:
- Design and implement advanced solutions utilizing Large Language Models (LLMs).
- Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.
- Conduct research and stay informed about the latest developments in generative AI and LLMs.
- Develop and maintain code libraries, tools, and frameworks to support generative AI development.
- Participate in code reviews and contribute to maintaining high code quality standards.
- Possess strong analytical and problem-solving skills.
- Demonstrate excellent communication skills and the ability to work effectively in a team environment.
Skills & Qualifications:
Must Have Skills:
- 7 to 12 years of experience in IT
- Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation.
- Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.
- Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.
- Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as RLHF.
- Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP.
- Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.
Tech Skills :
Machine Learning (ML) & Deep Learning
Machine Learning (ML) & Deep Learning
- Solid understanding of supervised and unsupervised learning.
- Proficiency with deep learning architectures like Transformers, LSTMs, RNNs, etc.
Generative AI:
- Hands-on experience with models such as OpenAI, Gemini etc.
- Knowledge of optimizing large language models (LLMs) for specific tasks.
Natural Language Processing (NLP):
- Expertise in NLP techniques, including text preprocessing, tokenization, embeddings, and sentiment analysis.
- Familiarity with NLP tasks such as text classification, summarization, translation, and question-answering.
Retrieval-Augmented Generation (RAG):
- In-depth understanding of RAG pipelines, including knowledge retrieval techniques like dense/sparse retrieval.
- Experience integrating generative models with external knowledge bases or databases to augment responses.
Search and Retrieval Systems:
- Experience with building or integrating search and retrieval systems, leveraging knowledge of Elasticsearch, AI Search, ChromaDB etc.
Prompt Engineering:
- Expertise in crafting, fine-tuning, and optimizing prompts to improve model output quality and ensure desired results.
- Understanding how to guide large language models (LLMs) to achieve specific outcomes by using different prompt formats, strategies, and constraints.
- Knowledge of techniques like few-shot, zero-shot, and one-shot prompting, as well as using system and user prompts for enhanced model performance.
Programming & Libraries:
- Proficiency in Python and libraries such as PyTorch, Hugging Face, etc.
- Knowledge of version control (Git), cloud platforms (AWS, GCP, Azure).
APIs & Integration:
- Ability to work with RESTful APIs and integrate generative models into applications.
Evaluation & Benchmarking:
- Strong understanding of metrics and evaluation techniques for generative models.
Good to Have Skills:
- Advanced Degree: Master s degree in computer science or relevant field.
- Life Sciences Experience: Experience in Life sciences/Healthcare Industry
- Azure Certification: Azure Cloud experience/certification.
- Experience with Multi-modal AI models (text-to-image, text-to-video, speech synthesis, etc.).
- Knowledge of Knowledge Graphs and Symbolic AI .
- Understanding of MLOps and LLMOps for deploying scalable AI solutions.
Employment Type: Full Time, Permanent
Read full job description
What people at GlaxoSmithKline Pharmaceuticals are saying
Senior Data Scientist Lead salary at GlaxoSmithKline Pharmaceuticals
reported by
4
employees
with 9-12
years exp.
₹26
L/yr - ₹41.5
L/yr
6%
more
than the average Senior Data Scientist Lead Salary in India
View more details
What GlaxoSmithKline Pharmaceuticals employees are saying about work life
based on 2k employees
Flexible timing
Monday to Saturday
Within city
Day Shift
GlaxoSmithKline Pharmaceuticals Benefits
View more benefits
Compare GlaxoSmithKline Pharmaceuticals with
Hetero
Compare
Abbott
Compare
Micro Labs
Compare
Pfizer
Compare
Biological E
Compare
USV
Compare
Granules India Limited
Compare
Teva Pharmaceuticals
Compare
Sanofi
Compare
Unichem Laboratories
Compare
Piramal Pharma
Compare
Fresenius Kabi
Compare
ACG Worldwide
Compare
Novo Nordisk
Compare
Strides Pharma
Compare
Hikal
Compare
AstraZeneca
Compare
Natco Pharma
Compare
Shilpa Medicare
Compare
Eris Lifesciences
Compare
Senior Lead Data Scientist
7-12 Yrs
Bangalore / Bengaluru
Computer Science, Python, Healthcare +7 more
Haleon - Regional Rural Activation Executive (2-5 yrs)
2-5 Yrs
Sales, FMCG Sales, Distribution +1 more
Haleon - Manager - Expert Sales & Operations (8-17 yrs)
8-17 Yrs
Sales, FMCG Sales, Sales Operations +3 more
Haleon - Rural Activation Manager (5-11 yrs)
5-11 Yrs
Marketing, Sales, Pharma Marketing +2 more
Haleon - Regional Rural & Access Manager (2-12 yrs)
2-12 Yrs
Sales, Distribution, Channel Management +1 more
Senior Principal Engineer, CRM Commercial & Medical
7-10 Yrs
Bangalore / Bengaluru
Web Development, Recruitment, Procurement +5 more
Real World Programming - RU Head
7-8 Yrs
Bangalore / Bengaluru
Python, SQL, Procurement +5 more
Manager - Real World Technical Solutions
4-9 Yrs
Bangalore / Bengaluru
Pharmacy, SQL, Healthcare +7 more
Manager - Real World CDISC Standard
10-15 Yrs
₹ 23L/yr - 23.5L/yr (AmbitionBox estimate)
Bangalore / Bengaluru
Pharmacy, Healthcare, Procurement +6 more
Manager - Real World Programming
12-14 Yrs
₹ 21L/yr - 40.8L/yr (AmbitionBox estimate)
Bangalore / Bengaluru
Python, SQL, Procurement +5 more
Share an Interview