Data Science Architect

About the Role: Data Science Architect at GlobalLogic

Join GlobalLogic’s Architects Team within the Healthcare Business Unit, supporting clients across the EMEA region. This strategic role focuses on engaging new clients, solving real-world healthcare challenges, and launching data-driven AI/ML projects. You will work closely with clients and internal stakeholders to translate complex business needs into impactful data science solutions. If you’re passionate about applying data science in a meaningful domain and want to shape the future of healthcare, we’d love to hear from you.

Requirements

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

Preferred Qualifications (Nice to Have)

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

Job Responsibilities

• Lead the design and development of AI/ML solutions across HealthTech and MedTech projects.
• Participate in technical presales by analyzing business cases and identifying opportunities for AI/ML application.
• Build and validate predictive models, classification systems, NLP workflows, and optimization algorithms.
• Collaborate with software engineers, cloud architects, and QA to integrate models into scalable production systems.
• Define and guide data acquisition, preprocessing, labeling, and augmentation strategies.
• Contribute to the development of GlobalLogic’s healthcare-focused AI accelerators and reusable components.
• Present technical solutions to clients, both business and technical audiences.
• Support model monitoring, drift detection, and retraining pipelines in deployed systems.
• Ensure adherence to privacy, security, and compliance standards for data and AI usage.
• Author clear documentation and contribute to knowledge sharing within the Architects Team.

What We Offer

• Culture of Caring: GlobalLogic prioritizes an inclusive culture where people come first, fostering meaningful connections and belonging.
• Learning and Development: Committed to continuous growth, GlobalLogic offers numerous opportunities to sharpen skills and advance your career, including the Career Navigator tool.
• Interesting & Meaningful Work: Work on impactful, cutting-edge solutions that transform businesses and redefine industries globally.
• Balance and Flexibility: Explore various work arrangements to achieve a perfect balance between work and personal life.
• High-Trust Organization: Join a safe, reliable, and ethical global company where integrity and trust are cornerstones.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner, at the forefront of the digital revolution since 2000, helping create innovative digital products and experiences. They collaborate with clients to transform businesses and industries through intelligent products, platforms, and services.

Key skills/competency

• Data Science
• Machine Learning
• AI/ML Solutions
• Python Programming
• ML Frameworks (TensorFlow, PyTorch)
• Cloud Computing (Azure, AWS, GCP)
• MLOps
• Healthcare Data Analytics
• Data Visualization
• Presales Engineering