Data Science/Analyst Intern working with risk analytics and data science teams at Credibly. Engaging in projects that leverage advanced analytics and statistical techniques for business growth.
About the role
- Data Scientist / Machine Learning Engineer at Remedy Product Studio building data infrastructure and AI features for digital products. Collaborating on ETL pipelines and data-driven insights.
Responsibilities
- Design and maintain ETL pipelines using Airbyte or similar tools
- Work with Snowflake, PostgreSQL, and Supabase for data modeling, transformation, and integration
- Build and query graph databases with Neo4j using Cypher
- Develop and deploy LLM-based modules and RAG pipelines using frameworks like LangChain
- Integrate and expose data via GraphQL and REST APIs
- Collaborate with cross-functional teams to define data requirements and support analytics and machine learning initiatives
Requirements
- Strong proficiency in Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow)
- Excellent SQL skills and experience with Snowflake and Postgres
- Experience with ETL/ELT processes and tools like Airbyte
- Knowledge of Neo4j and Cypher for graph data modeling
- Familiarity with LLM frameworks (LangChain, RAG)
- Understanding of GraphQL and REST API integrations
- Nice to have: experience with Supabase and data visualization or BI tools
- Nice to have: experience with Vercel
Benefits
- Vacation leave of 20 working days
- Paid Medical insurance
- 4 sick days per year
- Sport compensation
- Career and professional growth
- Access to senior engineers for help and mentorship
- English classes with on-staff teachers
- English clubs where you can polish your skills together with teammates
- Paid courses and certificates to raise professional skills
- Possibility for working remote or in Warsaw office
- Macbook provided by company as a working environment
- Work environment based on collaboration and teams
- Team building events on team and group level
- Sponsored company outings and social events
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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