Data Scientist for Product Sustainability at Roche managing environmental data for sustainability reporting. Bridging Global Sustainability Experts and IT systems to ensure actionable insights for product emissions and compliance.
About the role
- Lead and deliver AI initiatives focusing on traditional machine learning and generative AI for Mashreq Bank. Build, scale, and productionize models for business transformation and operational efficiency.
Responsibilities
- Develop and deploy machine learning models for classification, regression, clustering, and anomaly detection across business domains.
- Design and fine-tune generative AI models (e.g., LLMs, transformers, diffusion models) for applications such as document summarization, synthetic data generation, intelligent assistants, and automated content creation.
- Build robust data pipelines and model serving infrastructure using MLOps best practices to ensure scalability, reliability, and maintainability.
- Collaborate with cross-functional teams to identify AI opportunities and translate business needs into technical solutions.
- Ensure compliance with AI governance, risk strategy, and ethical standards.
- Mentor junior data scientists and contribute to the AI Center of Excellence.
Requirements
- Master’s or PhD in Computer Science, Machine Learning, or related field.
- 7+ years of experience in AI/ML, including 2+ years in generative AI.
- Strong engineering skills in Python, SQL, and cloud platforms (Azure, AWS, GCP).
- Experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow) and containerization (Docker, Kubernetes).
- Proficiency in deep learning frameworks (PyTorch, TensorFlow) and LLMs.
- Strong understanding of prompt engineering, fine-tuning, and model evaluation.
- Excellent communication and stakeholder engagement skills.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Data Scientist at Roche leading data science projects for healthcare analytics. Collaborating with cross - functional teams to drive strategic decision - making and optimize business outcomes.
Data Scientist I developing AI solutions for a leading supply chain company. Innovating and collaborating on cutting - edge AI technologies within diverse teams.
Staff Data Scientist guiding the implementation of machine learning models and deep learning tools at Blue Yonder. Collaborating with cross - functional teams to deliver retail solutions for data science and ML applications.
Insights & Analytics Lead managing consumer insights and research projects at Kimberly - Clark. Leading strategic initiatives to drive value creation across Asia's markets.
Lead consumer insights projects and analyses across Asia for Kimberly - Clark’s Family Care brands. Drive strategies through deep understanding of consumer needs and market trends.
Software Development role at GDIT requiring a TS/SCI clearance with Polygraph. Engaging in government projects for software innovation and development in Virginia.
Coordenador de Ciência de Dados leading the data team in developing analytical solutions for Caixa Vida e Previdência. Focused on data science and project coordination in a collaborative environment.
Data Scientist designing and implementing analytical solutions using Python and AI technologies. Collaborating cross - functionally to deliver Generative AI solutions for business needs in a hybrid setup.
Data Scientist developing machine learning models and analytics solutions to improve decisions in the mortgage lifecycle from acquisition to servicing. Collaborating with teams on predictive modeling and automation workflows.