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Research Engineering Intern(m/w/x)
Architecting and coding large-scale data processing pipelines for legal and tax tech professionals. Master's or Bachelor's degree in CS/IT and Python proficiency required. Flexible vacation, two Mental Health Days off.
Requirements
- Curiosity and open-mindedness
- Pursuing Master's or Bachelor's degree in Computer Science, Information Technology, or related discipline
- Proficiency in Python
- Ability to write clean, reusable, maintainable, and well-tested code
- Experience with GitHub
- Desire to learn and embrace new technologies
- Strong communication and collaboration skills
- Understanding of CI/CD, DevOps, and SDLC concepts
- Understanding of Natural Language Processing and/or Machine Learning methods
- Familiarity with cloud platforms (AWS, Azure, Google Cloud) and basic understanding of MLOps
- Familiarity with unstructured datasets and data cleaning techniques
- Keen interest in real-world applications and impact
Tasks
- Define specifications and architect designs
- Write efficient and maintainable code
- Apply modern software development practices
- Build and test high-quality solutions
- Create large-scale data processing pipelines
- Develop scalable systems for online delivery
- Collaborate with applied scientists and engineers
- Contribute ideas and create Minimum Viable Products
- Learn new technologies and innovative approaches
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- GitHub
- AWS
- Azure
- Google Cloud
Benefits
Flexible Working
- Flexible hybrid working environment
More Vacation Days
- Flexible vacation
- Paid volunteer days off
Mental Health Support
- Two Mental Health Days off
- Access to Headspace app
- Resources for mental wellbeing
Retirement Plans
- Retirement savings
Additional Allowances
- Tuition reimbursement
- Resources for financial wellbeing
Bonuses & Incentives
- Employee incentive programs
Healthcare & Fitness
- Resources for physical wellbeing
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Research Engineering Intern(m/w/x)
Architecting and coding large-scale data processing pipelines for legal and tax tech professionals. Master's or Bachelor's degree in CS/IT and Python proficiency required. Flexible vacation, two Mental Health Days off.
Requirements
- Curiosity and open-mindedness
- Pursuing Master's or Bachelor's degree in Computer Science, Information Technology, or related discipline
- Proficiency in Python
- Ability to write clean, reusable, maintainable, and well-tested code
- Experience with GitHub
- Desire to learn and embrace new technologies
- Strong communication and collaboration skills
- Understanding of CI/CD, DevOps, and SDLC concepts
- Understanding of Natural Language Processing and/or Machine Learning methods
- Familiarity with cloud platforms (AWS, Azure, Google Cloud) and basic understanding of MLOps
- Familiarity with unstructured datasets and data cleaning techniques
- Keen interest in real-world applications and impact
Tasks
- Define specifications and architect designs
- Write efficient and maintainable code
- Apply modern software development practices
- Build and test high-quality solutions
- Create large-scale data processing pipelines
- Develop scalable systems for online delivery
- Collaborate with applied scientists and engineers
- Contribute ideas and create Minimum Viable Products
- Learn new technologies and innovative approaches
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- GitHub
- AWS
- Azure
- Google Cloud
Benefits
Flexible Working
- Flexible hybrid working environment
More Vacation Days
- Flexible vacation
- Paid volunteer days off
Mental Health Support
- Two Mental Health Days off
- Access to Headspace app
- Resources for mental wellbeing
Retirement Plans
- Retirement savings
Additional Allowances
- Tuition reimbursement
- Resources for financial wellbeing
Bonuses & Incentives
- Employee incentive programs
Healthcare & Fitness
- Resources for physical wellbeing
About the Company
Thomson Reuters TR Labs/AI Platform
Industry
IT
Description
The company provides trusted content and technology to empower professionals in legal, tax, accounting, compliance, government, and media.
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