Python Developer

SUMMARY:

POSITION INFO:
This opportunity offers the chance to join a forward-driven engineering environment focused on developing advanced solutions within the health and performance space. You will contribute to projects that combine data science, analytics, and scientific insight to create impactful tools used to better understand human performance and biological metrics.

Working alongside multi-disciplinary teams, you will play a key role in creating robust, scalable solutions that process and interpret complex datasets. The role provides exposure to cutting-edge technologies and the opportunity to continuously refine your skills in a fast-moving and intellectually stimulating setting. If you enjoy solving complex problems, working with large datasets, and contributing to meaningful innovation, this role will provide both a challenge and growth.

Key Responsibilities:

• Develop and enhance advanced algorithms using Python for data-driven applications
• Design and manage data pipelines to handle large and complex datasets
• Work with cross-functional teams to integrate solutions into broader systems
• Analyse data to extract insights and improve overall solution performance
• Troubleshoot issues related to system functionality, data integrity, and performance
• Continuously improve and refine existing models and analytical approaches

• Degree in Computer Science, Engineering, Data Science, or a related field
• Minimum 5 years of experience in Python development, with a focus on data processing or analytics
• Proven experience working with large datasets and developing algorithm-driven solutions
• Exposure to data modelling and data processing workflows
• Strong proficiency in Python and data analysis libraries
• Experience with data manipulation and numerical computing
• Understanding of machine learning concepts and frameworks
• Knowledge of cloud platforms and modern data environments
• Analytical mindset with strong problem-solving capabilities
• Experience with additional programming languages
• Familiarity with database structures and querying
• Knowledge of statistics and data visualisation techniques
• Exposure to scientific or biological data environments

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