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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Data Scientist Engineer - **Company:** GSK LLP - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Computer Vision, Microsoft Azure, Cloud Computing, Computer Programming, Continuous Integration, Data Cleansing, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Reliability Engineering, Tensorflow, Search Technologies, Software Engineering, SQL Databases, Cloud Platform System, Pytorch, Retrieval-Augmented Generation, Large Language Models, Deep Learning, Model Validation, Scikit Learn, Information Technology, Machine Learning Operations - **Published:** July 12, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/p41d7pxcmm ## About the Role qualifications to help us achieve our goals - Bachelor's or Master's degree in data science, computer science, statistics, mathematics, engineering or a related quantitative field. - Minimum seven years of professional experience in data science, machine learning or a related role. - Strong programming skills in Python and experience with libraries such as scikit-learn, PyTorch or TensorFlow. - Practical experience with SQL and at least one cloud platform (AWS, Azure or GCP). - Proven track record deploying models to production and collaborating with software engineering teams. - Clear communicator who can explain technical work to non-technical stakeholders and present results with concise visualisations. Preferred Qualification If you have the following characteristics, it would be a plus - Hands-on experience with large language models or other generative AI techniques. - Familiarity with MLOps or LLMops tooling for model monitoring, CI/CD and lifecycle management. - Experience with retrieval-augmented generation, vector databases, or semantic search systems. - Exposure to multi-modal models (text, image, audio) or computer vision workflows. - Advanced degree (Master's or PhD) in a quantitative subject or demonstrable equivalent experience. - Previous experience in healthcare, life sciences or other regulated industries. How to apply If this opportunity excites you, please apply. Share your CV and a short note about a data science project you led and the impact it delivered. We welcome applicants from all backgrounds and encourage people who value inclusion to apply. If you need adjustments during recruitment, tell us and we will work with you., Algorithms, Data Assessment, Data Cleansing, Data Preprocessing, Exploratory Data Analysis (EDA), Hypothesis Testing, Mathematics Modeling, Model Evaluation, Predictive Modeling, Probabilistic Modeling, Reliability Engineering, Statistical Analysis Techniques, Statistical Significance Testing ## Description and clear, actionable insights for non-technical partners. - Build, evaluate and validate models using supervised, unsupervised and deep learning techniques. - Partner with engineering and data platform teams to deploy, monitor and maintain models on cloud infrastructure. - Mentor and coach data scientists and analysts to grow skills and strengthen team practices. - Promote responsible, reproducible and well-documented AI practices, including model validation and bias awareness. Why You? You want to solve meaningful problems with data and see your work make a measurable difference. This role is offered as a hybrid position based in India, with a mix of office and remote work depending on team needs. You will own technical initiatives, shape cross-functional decisions, and grow into visible leadership opportunities. If learning, impact and collaboration motivate you, we encourage you to apply. Basic Qualification We are seeking professionals with the following required skills and ## Related Videos - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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