Data Science Intern - Roche Ghana

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's 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 modelling, mining and production
• Good experience running SQL queries and fluency in pulling data from structured datasets.
• Good experience in Google Sheets, Excel, BI tools (Tableau, Qlickview…). Nice to have: programming skills (Python, C++, etc) along with an 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, and 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