Data Science Analyst
vor 2 Monaten
About the Role
The Data Science Internship Program at Tschach Solutions GmbH Company provides exposure to the Scoring and Modeling organization. Successful candidates will learn particular aspects of our business while working on data-science-related assignments and projects.
Responsibilities
- Conducting analysis and creating performance reports in support of existing and new product development, and/or customer sales.
- Developing analytic models, writing analysis code, and working with internal or external stakeholders to validate the accuracy of results.
- Following established best practices in statistical work and analyzing plans by executing appropriate statistical and modeling techniques.
- Assembling, merging, and parsing large amounts of data to detect meaningful patterns and trends.
- Providing support for client inquiries regarding score calculations or other analytical outputs.
- Participating in targeted training designed to enhance technical skills and develop core competencies.
- Documenting and communicating analytical work and results clearly.
Requirements
- Be a currently enrolled student working on a Bachelor's in a Scientific, Mathematical, or Computer field.
- Possess foundational knowledge of natural language processing, machine learning, and information retrieval.
- Display familiarity with data manipulation languages and showcase a basic grasp of data modeling principles.
- Be a natural problem solver, able to collaborate with your team to resolve issues.
- Demonstrate excellent problem-solving skills and ability to think critically.
- Possess excellent communication and interpersonal skills.
Work Environment
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
We prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups.
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