IT Data Scientist

For the past 20 years, ProPharma has improved the health and wellness of patients by providing advice and expertise that empowers biotech, med device, and pharmaceutical organizations of all sizes to confidently advance scientific breakthroughs and introduce new therapies. ProPharma partners with its clients through an advise-build-operate model across the complete product lifecycle. With deep domain expertise in regulatory sciences, clinical research solutions, quality & compliance, pharmacovigilance, medical information, and R&D technology, ProPharma offers an end-to-end suite of fully customizable consulting solutions that de-risk and accelerate our partners’ most high-profile drug and device programs.

The IT Data Scientist is responsible for designing, developing, and deploying advanced analytics and machine learning solutions that support strategic business and technology initiatives. This role leverages AWS cloud-based AI and data services to build scalable models, generate actionable insights, and drive data-informed decision-making. The IT Data Scientist partners with cross-functional stakeholders to translate complex data into practical solutions while ensuring data integrity, security, and performance within a cloud-based environment.

Role details

• Design, develop, and deploy machine learning and advanced analytics models to solve business problems.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Leverage AWS AI/ML services (e.g., SageMaker, Bedrock, Rekognition, Comprehend, Textract) to build scalable solutions.
• Develop and maintain data pipelines to support model training, validation, and deployment.
• Collaborate with business and IT stakeholders to translate requirements into analytical solutions.
• Evaluate and select appropriate algorithms, tools, and cloud services for specific use cases.
• Deploy and monitor models in AWS environments to ensure performance, accuracy, and reliability.
• Implement data validation, quality controls, and governance best practices.
• Present findings and insights to technical and non-technical audiences.
• Utilize MLflow for experiment tracking, model versioning, and lifecycle management.
• Deploy, register, and monitor models using MLflow and AWS environments to ensure performance, accuracy, and reliability.
• Optimize model performance and continuously improve analytics solutions.
• Support experimentation, proof-of-concept development, and innovation initiatives.
• Document methodologies, processes, and technical configurations

​Requirements

• Required: Associate Degree (2-year degree).
• Preferred: BS / BA in Computer Science, Information Technology Certification.
• Minimum three years' experience in technician or similar applicable role.
• Strong proficiency in Python or similar programming languages used for data science.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Hands-on experience with MLflow for experiment tracking, model registry, and lifecycle management.
• Hands-on experience with AWS cloud services, particularly AWS AI/ML tools such as SageMaker and Bedrock.
• Solid understanding of statistical analysis, predictive modeling, and data mining techniques.
• Experience working with structured and unstructured data.
• Knowledge of data wrangling, feature engineering, and model evaluation techniques.
• Familiarity with SQL and relational databases.
• Understanding of cloud architecture principles and scalable system design.
• Experience with data visualization tools and techniques.
• Strong problem-solving and analytical thinking skills.
• Ability to communicate complex technical concepts clearly to diverse audiences.
• Knowledge of data security, governance, and compliance considerations in cloud environments.

We celebrate our differences and strive to create a workplace where each person can be their authentic self. We are committed to diversity, equity, and inclusion. Employees are encouraged to unleash their innovative, collaborative, and entrepreneurial spirits. With a holistic approach as an Equal Opportunity Employer, we provide a safe space where all employees feel empowered to succeed.

All applications to roles at ProPharma are personally reviewed by a member of our recruitment team. We do not rely on AI screening tools to support our hiring process. You will always receive an outcome to your application so that you have an answer from us - whether you're successful or not.

Whilst ProPharma supports remote working, we also recognise the value that comes from in person collaboration. As such, we encourage any new hires that are based within a reasonably short commute of one of our offices to work on a hybrid basis and spend some time working from that office location, as agreed with your manager. All applications will be treated on their own merit and candidates will not be at any advantage or disadvantage based on their proximity to an office.

***ProPharma Group does not accept unsolicited resumes from recruiters/third parties. Please, no phone calls or emails to anyone regarding this posting.***