ML Architect Principal Data Scientist

@ GlobalLogic

Overview

Join GlobalLogic’s Architects Team within the Healthcare Business Unit, supporting clients across the EMEA region. In this strategic role, you will engage new clients, solve real-world healthcare challenges, and launch data-driven AI/ML projects. You will work closely with clients and internal stakeholders to translate complex business needs into impactful data science solutions.

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related field.
• 7+ years of experience in data science or machine learning roles, ideally with healthcare project exposure.
• Strong knowledge of ML frameworks such as scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM.
• Proficiency in Python and related libraries (NumPy, pandas, matplotlib, seaborn, etc.).
• Experience with large datasets and data processing frameworks (Spark, Dask, SQL).
• Understanding of MLOps concepts and tools (MLflow, Kubeflow, Vertex AI, Azure ML).
• Familiarity with cloud environments (Azure, AWS, or GCP) for model deployment.
• Experience with model interpretability, fairness, and explainability techniques.
• Strong communication and visualization skills for data storytelling.
• English proficiency at Upper-Intermediate level or higher.
• Ability to travel abroad for client engagements.

Preferred Qualifications

• Experience with medical data (EHR, imaging, wearables, clinical trials).
• Familiarity with healthcare regulations (HIPAA, GDPR, FDA AI/ML guidelines).
• Knowledge of FHIR, HL7, or other healthcare interoperability standards.
• Practical experience with deep learning models (CNNs, transformers for NLP).
• Experience in presales, proposal writing, or technical advisory roles.

Job Responsibilities

• Design and develop AI/ML solutions for HealthTech and MedTech projects.
• Participate in technical presales and identify AI/ML opportunities.
• Build and validate predictive models, classification systems, NLP workflows, and optimization algorithms.
• Collaborate with engineers, cloud architects, and QA to deploy production systems.
• Define and guide data acquisition, preprocessing, labeling, and augmentation strategies.
• Contribute to healthcare-focused AI accelerators and reusable components.
• Present technical solutions to both business and technical audiences.
• Support model monitoring, drift detection, and retraining pipelines.
• Ensure adherence to privacy, security, and compliance standards.
• Author documentation and share knowledge within the team.

What We Offer

At GlobalLogic, you will find a culture of caring, continuous learning, interesting work, balance and flexibility, and a high-trust organization. Experience an inclusive environment where meaningful connections, career growth, and meaningful projects come together.

Key Skills/Competency

• Data Science
• Machine Learning
• Healthcare
• AI
• Python
• MLOps
• Cloud
• Big Data
• Presales
• Data Visualization