This role includes a focus on data science projects, and delivering and implementing solutions for clients. The successful candidate will thrive in a consulting culture, be excited about constant growth and changes, and have a proactive engineering mindset.
Some key elements:
Practical Application: Implement small optimizations using solutions that can provide a solution to client challenges.
Engineering Mindset: Approach problem-solving with a strong engineering lens, leveraging mathematics skills to develop and deploy predictive models.
Technical Skills: Demonstrate solid coding proficiency, particularly in Python, and adhere to good software engineering practices.
Client-Facing Work: Engage confidently in client-facing roles, contributing to consulting projects and collaborating with clients to understand and address their needs.
Data Science Work: Work on data science model building, data engineering, analytics, and data wrangling etc.
Cloud Experience: Demonstrate experience in deploying solutions on cloud platforms.
Requirements:
- Bachelor's or higher degree in a relevant field (Engineering, Computer Science, Data Science etc.)
- Proven experience in applied data science, data engineering, and analytics, with a strong coding base in Python
- Familiarity with predictive modeling, deployment, and cloud technologies
- Ability to work in a dynamic consulting environment, embracing constant change and chaos
- Strong collaboration and teamwork skills, with the ability to work effectively in a diverse and fast-paced team
- Client-facing experience and the ability to communicate technical concepts to non-technical stakeholders
