Senior Data Scientist designing and leading projects to enhance machine learning classifiers for cancer detection. Collaborating with cross - functional teams in a healthcare company focused on early cancer detection.
About the role
- Placement Data Science Engineer at Medialab building data software and infrastructure for media advertising. Working on Python tools, automated pipelines, and AI solutions in a hybrid role based in London.
Responsibilities
- Support the development and maintenance of data science tools, improving automation, efficiency, and scalability.
- Work closely with data scientists and stakeholders to refine and enhance internal modelling and data analysis tools.
- Support in the hands-on development of AI agents and rapid Proofs of Concept (POCs).
- Implement and improve machine learning workflows, supporting the deployment and monitoring of models.
- Act as frontline technical support, troubleshooting and applying user feedback.
- Write clean, testable code and maintain clear technical documentation.
- Manage development tickets within an Agile environment.
Requirements
- Currently pursuing a degree in Computer Science, Software Engineering, Data Science
- Proficiency in Python, specifically with popular libraries like Pandas and NumPy.
- Highly capable with Microsoft Excel and the wider MS Office suite.
- Exposure to SQL for querying and managing structured datasets.
- Theoretical understanding of machine learning concepts and statistical techniques.
- Foundational experience with version control (Git) and collaborative coding environments.
- Good communication skills.
Benefits
- Time to Unwind – 22 days holiday (+ Christmas holiday closure)
- A day off for your birthday
- Holiday buying scheme
- Flexi-hours
- Work abroad and cultural bank holiday swap scheme
- Hybrid Working – Balance between home and office.
- Meritocratic approach to progression with quarterly reviews
- CPD Platinum accredited training
- Mentoring and leadership support.
- Private medical insurance
- Health cash plan
- Gym discounts
- Wellbeing apps
- Mental Health First Aiders
- Free professional counselling.
- Enhanced parental leave pay
- Flexible working and life assurance.
- Paid charity days
- Sustainability initiatives.
- Retail discounts
- Long-service trips
- Unforgettable team culture.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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