Senior Data Scientist at Future Evidence Foundation, developing AI solutions for health and science research. Collaborate within a team to lead innovations in systematic reviews.
About the role
- Associate Data Scientist supporting customers in leveraging AI to enhance decision making. Investigating datasets and collaborating with teams to improve model performance in a hybrid work environment.
Responsibilities
- Investigate complex and often disorganized datasets to diagnose issues
- Perform extensive exploratory data analysis (EDA)
- Design and run diagnostic experiments and adversarial tests
- Define and implement validation checks, monitoring dashboards, and alerting mechanisms
- Serve as the primary technical contact for data science issues
- Fine-tune hyperparameters, retrain models, or implement minor algorithmic adjustments
- Collaborate with support, product, engineering, and partner teams
- Communicate technical findings to customers and stakeholders
- Contribute to playbooks, runbooks, and best practices for testing, monitoring, and supporting ML/AI solutions
Requirements
- Bachelor’s or Master’s degree in Engineering, Computer Science, Mathematics, Statistics, Data Science, or a related quantitative field
- 1–3 years of experience in data science, data analysis, or technical support for data products
- Hands-on experience developing, deploying, and/or maintaining machine learning models in production environments
- Proficiency in Python, SQL, and relevant ML frameworks (e.g., scikit‑learn, TensorFlow, PyTorch)
- Strong analytical and problem‑solving skills
- Demonstrated ability to work collaboratively in cross-functional teams
- Excellent communication skills, both written and verbal
- Domain experience in supply chain, logistics, or operations
- Experience with data visualization tools and monitoring/observability stacks
Benefits
- Comprehensive medical
- Group Medical Insurance
- Term Insurance
- Accidental Insurance
- Paid time off
- Maternity leave
- Unlimited access to online professional courses
- People manager development programs
- Flexible working environment
- Fully-stocked kitchen with snacks and beverages
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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