Data & Applied Sciences Internship Opportunities: IRELAND, Start Date: Summer 2023

Job Description

Every year, we welcome thousands of university graduates from every corner of the world to join Microsoft. You bring your aspirations, talent, potential—and excitement for the journey ahead.  

At Microsoft, our mission is to empower every person and every organization on the planet to achieve more and when you begin your career with us, we give you the tools necessary to do so. Those hired into this role are invited to participate in this learning and development experience where you’ll build your network, cultivate intentional capabilities and gain perspective into the career opportunities across Microsoft’s many exciting businesses.  

We’re a company of learn-it-all’s rather than know-it-all’s and our culture is centred around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. Does this sound like you? Learn more about our cultural attributes.  

Are you ready to join us and create the future? Come as you are, do what you love—start your journey with us today! 

Responsibilities

As a Data Scientist, you will formulate approaches to solve problems using well-defined algorithms and data sources. You will incorporate an understanding of product functionality and customer perspective to provide context for those problems. You will use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data. Successful Data Scientists will interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve.   
  
You will engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers. As a Data Scientist, you will also engage in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results.

Qualifications

• Some Engineering experience and or project course work using large data systems on SQL, Hadoop, Azure etc. 
• Proficiency in using one or more programming or scripting languages to work with data such as: Python or C#. 
• Experience or course work applying basic Machine Learning to a type of data and or used algorithms to conduct experiments on data.   
• Some experience and or project course work performing data analysis and applying statistics working with similar tools such as: Excel, MATLAB, AMPL, or SAS.  
• Some experience and or project course work with product and service telemetry systems and data manipulations experience: data quality, testing your pipelines, incomplete data.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Benefits and Perks

• Industry leading healthcare
• Giving programs
• Opportunities to network and connect
• Discounts on products and services