As a Lead Data Scientist, you will apply expertise in AI and machine learning to design and build advanced analytics systems and collaborate with teams to implement solutions that drive business value.

The Finance Director will lead financial planning, oversee budgeting and forecasting, analyze performance against KPIs, and mentor finance team members.

The Azure Architect will design and migrate enterprise technology products to Azure, guiding development teams through all stages while ensuring compliance and security.

The Senior Data Scientist will optimize replenishment strategies and resource allocation in supply chains using advanced data science techniques and collaborate with cross-functional teams to provide data-driven solutions.

The Power BI Architect will lead BI platform design and governance, ensuring scalable solutions and guiding BI Engineers, while collaborating with Azure teams.

Lead technical initiatives for end-to-end data migrations to an Enterprise Data Platform, providing architectural expertise and oversight to teams while ensuring alignment with client needs.

Manage analytics programs in life sciences, leading teams, translating business challenges into data-driven solutions, and collaborating with stakeholders for actionable insights.

Lead architectural design and delivery of advanced data solutions, focusing on Generative and Agentic AI, ensuring client satisfaction and team efficiency.

Lead the design and deployment of AI solutions focusing on Data Engineering, Generative AI, and Agentic AI while collaborating with clients and guiding junior engineers.

The Senior Data Scientist will design and manage A/B tests and experiments, analyze results, develop models, and collaborate with teams to translate insights into actionable strategies.

The role involves managing large-scale data analytics projects, designing data solutions, and collaborating with executives to implement digital and cloud solutions.

Responsible for designing, building, and maintaining data pipelines and infrastructure, collaborating with data scientists and stakeholders to support data-driven decisions.

The Senior Data Scientist will design graph-based models for supply chain optimization, develop data pipelines using PySpark, and collaborate with teams to deliver analytical solutions.

Responsible for leading product management for advanced data platforms in R&D, defining strategy, managing teams, and ensuring compliance with regulatory standards for pharmaceutical workflows.

The role involves analyzing data security, designing Databricks components for access control, and collaborating on architecture documentation.

The role involves developing scalable machine learning systems, managing data pipelines, collaborating with teams, and troubleshooting production issues.

As a Senior Data Steward Manager, you'll oversee data management and governance, ensure data quality, and work with cross-functional teams to meet data standards.

Lead the data engineering team, implementing data architecture patterns, guiding junior members, and managing complex projects in Azure.

As a Talent Acquisition Specialist, you'll manage the recruitment lifecycle, develop recruitment strategies, and mentor a recruitment team while ensuring a positive candidate experience.

The MLOps Engineer will build, deploy, and monitor machine learning models using AWS services and develop data quality solutions, collaborating with teams.