Data Science Intern Emea - Madrid, España - Boston Scientific Corporation
Descripción
Data Science Intern EMEA (Madrid based):
- Remote Eligible: Hybrid
- Onsite Location(s): Madrid, M, ES
About the role
What will your responsibilities be:
- Perform primary data analysis of our data
- Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy
- Work with the team to improve data quality and data governance
- Present findings to business owners and stakeholder
- Translate business questions into data resolutions and stories for nontechnical stakeholders
What are we looking for in you
- Background studies in Data Analysis, Data Science, Statistics or similar roles
- Strong knowledge of and experience in (academic experience or internship) reporting packages (such as Tableau, Qlik etc), databases (SQL), programming (such as R, Python etc)
- Knowledge of statistics and experience using statistical packages for analyse datasets (using Excel, SPSS, SAS, R or Python etc)
- Technical expertise such as data models, data mining and segmentation techniques are desirable
- Precise, a keen eye for detail and for numbers
- A willingness to learn & upskill constantly, curious by nature
- Strong team player with a solution focused attitude
- Great opportunity to be a part of global organisation
- Our Analytics team is very ambitious, the analytics needs will very soon be transitioning to advanced analytics. So, there is a great opportunity to transition to Data Scientist role.
What we can offer to you:
- A 12-month paid internship experience (€1000 gross per month + lunch vouchers);
- Working in an international environment;
- Attractive benefits package;
- Inspirational colleagues & culture;
- Possibility to make an impact;
- Fast growing and innovative environment;
- A teamoriented company culture.
Location:
in our offices in Madrid, on a hybrid working schedule.
Planned starting date:
May 2023.
_We, Boston Scientific, are an equal employment opportunity employer. We do not and will not make any personnel decisions (like recruiting, hiring, job assignments, and promotions) based on a person's age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law._
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Quantitative Analyst, Data Mining, Intern, Data Analyst, Developer, Data, Technology, Entry Level
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