Intern - Data Science at Roche Kenya

The Position
As an Intern in the Data Scientist team you will:

• Be accountable for the development and implementation of Data Science products.
• Support proactive identification of the most relevant analytical use cases in collaboration with the key stakeholders.
• Support prioritisation efforts, understand feasibility and business impact, take smart risks to make informed decisions in a fast-paced, evolving environment to deliver patient benefits faster.
• Collaborate within global agile teams in the Roche Informatics business and foundational domains to develop products that provide the highest value to both Roche Pharma and Diagnostics business stakeholders. 
• Provide methodical and implementation guidance as well as hands-on support around analytical use cases.
• Communicate findings and market the value of use cases to key stakeholders.
• Contribute to positioning data science as a key competency within the enterprise
• Continuously look for opportunities to broaden knowledge, capabilities and skill set to enable talent to flow into different specialties.
• Be a role model for knowledge sharing within the DnA chapter.

Qualifications

• Graduate level (master or PhD ongoing) academic ground in computer science/ statistics/ mathematics/Economics, etc. 
• Discover opportunities for data acquisition and develop scalable data set processes for data modeling, mining and production.
• Good experience running SQL queries and fluency pulling data from structured datasets. 
• Good experience in Google Sheet, Excel, BI tools (Tableau, Qlickview…). Nice to have: programming skills (Python, C++, etc) along with understanding or knowledge of statistical and machine learning models. 
• Excellent communication and effective problem-solving skills, track record in serving a variety of diverse customers and projects
• Ability to work independently, prioritize within an interdisciplinary environment that includes scientists, engineers, business and consultants 
• Summarizing the results of analyses into finalized minimal viable products / dashboards and communicating analytical insights via effective synthesis tools (Google slide, PPT …) 
• Keen on expanding your experience and leveraging data analytics methodologies in a world leading pharmaceutical company.