Supply Chain Data Science Internship
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Bagsværd
- Supply Chain and Procurement
- Bagsværd
Are you looking for an exciting hands-on learning opportunity to supplement your studies? Are you studying a Master’s degree and want to work with data analytics from A-Z in Novo Nordisk? Come and join us as an intern and get an opportunity to work alongside experienced & ambitious colleagues from many different nationalities.
About the department
Our ambition is to be in the frontier of Supply Chain Data Analytics by employing machine learning models and various Supply Chain modelling techniques to enhance data driven decisions and optimise our global supply chain. We transform data into business insight and recommendations. Further, we are responsible for reporting on the Global Supply Chain that are delivering life-changing medicines to more than 29 million patients in 170 different countries.
You will join a team consist of 15 colleagues from eight different countries. You will be working together with our Supply Chain Consultants that has a strong the Supply Chain understanding and can model it with data, Data Scientists that converts data into models & predictions and Data Engineers that structure- and make data available.
The position
You will support our journey in advanced analytics by employing your data & modelling skills and analytic mind to deliver on impactful use cases. You will analyse and cleanse large datasets with the goal to convert data into machine learning models, predictions and visualisations. You will be involved from ideation, development and deployment of models across the global supply chain. You will be working on specific use cases in sprint style as well as various ad-hoc data-related tasks.
- Internship period: The internship position is a full-time position for 4-6 months
- Working Hours: Full time is preferred
- Start date: 01, January 2020/01,February 2020
- Internships are remunerated, if your educational track allows
Qualifications
You are currently studying a master’s degree in e.g. Data Science, Business Analytics, Computer science, Engineering, Economics or similar with excellent results and a natural flair for data.
- Proven passion for generating insights from data
- Comfort manipulating and analysing complex, high-volume, high-dimensionality data from varying sources
- Strong knowledge of statistical methods particularly in the area of machine learning
- Ability to communicate complex quantitative analysis in a clear, precise and actionable way
- Experience with analytical and visualisation tools such as Qlik, Tableau or Alteryx.
- Fluency with at least one analysis tool such as R, Python or MATLAB and the ability to transfer that knowledge to other tools
- Familiarity with relational databases and SQL
You have an entrepreneurial mindset and it comes naturally to you to test new techniques, software and ways of working. We expect you will be good at what you do and have an eye for detail. You have a burning desire to learn new things and are curious about the processes and people you work with. You can work both independently and together with others.
As we are a global company and an international team, fluency in both spoken and written English is required.
Working at Novo Nordisk
At Novo Nordisk, your skills, dedication and ambition help us change lives for the better. In exchange, we offer you an opportunity to work with extraordinary talent and benefit from a range of possibilities for professional and personal development.
Contact
For further information, please contact Carlene Jones at +45 3079 8459.
Deadline
1 December 2019
Please, upload your CV, grades and cover letter explaining why you think this position is for you.
Millions rely on us
To work for Novo Nordisk you will need the skills, dedication and ambition to change lives for the better for millions of patients living with diabetes and other chronical diseases. In exchange, we offer the chance to be part of a truly global workplace, where passion and engagement are met with opportunities for professional and personal development.
Information og data
Denne ledige stilling har jobtypen "Supply Chain Management", og befinder sig i kategorien "Ledelse og personale".
Arbejdsstedet er beliggende i Bagsværd.
Jobbet er oprettet på vores service den 12.11.2019, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Supply Chain Management
- Bagsværd
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