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Intern Data Science - Remote

extra holidays - fully flexible
Remote: 
Full Remote
Contract: 
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Offer summary

Qualifications:

Pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, IT, or a related field., Basic programming skills in Python or SQL, with experience in data manipulation and visualization., Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn., Strong written and spoken English skills..

Key responsabilities:

  • Support daily data science team activities, including data collection, cleaning, and preprocessing.
  • Build and optimize machine learning models and conduct exploratory data analysis (EDA).
  • Develop dashboards and visualizations for insights.
  • Work alongside experienced professionals with practical knowledge of machine learning, data analytics, and AI.

HERE Technologies logo
HERE Technologies XLarge http://here.com
5001 - 10000 Employees
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Job description

What's the role?:

Team:
The Privacy Engineering team is looking for a
Data Scientist - Working Student to deliver the next generation of our Privacy by Design process, which will focus on automating privacy compliance tasks. 

 

Privacy Engineering is part of Product Trust team that works on addressing Privacy, Security, and OSS from the earliest stages of the product development lifecycle. You will work with a global team to build tooling, drive improvement to compliance, and inform best practices for development teams. 

 

  • Responsibilities:
  • Work alongside experienced professionals with practical knowledge of machine learning, data analytics, and AI.
  • Support daily data science team activities, including:
    • Data collection, cleaning, and preprocessing
    • Building and optimizing machine learning models
    • Conducting exploratory data analysis (EDA)
    • Developing dashboards and visualizations for insights

  • This is a time-limited internship with approximately 450 work hours to be completed over 3 to 6 months, depending on your availability.
Who are you?:
  • Pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, IT, or a related field.
  • Basic programming skills in Python, or SQL, with experience in data manipulation and visualization.
  • Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or Scikit-learn).
  • Strong knowledge in data structures and algorithms, solid mathematical skills
  • Ability to independently analyze data and propose data-driven solutions.
  • A self-starter, eager to expand expertise in AI, analytics, and big data.
  • Strong written and spoken English skills.

What Do We Offer?

  • Opportunity to quickly gain practical knowledge and skills of implementing privacy law
  • Cooperation with privacy experts across the globe
  • Work on the development of high scale services, serving and storing petabytes of data
  • Work with cutting edge, modern technologies
  • A great work-life balance
  • Flexible working hours
  • Competitive salary plus bonus
  • Fantastic & talented people from 60+ countries worldwide


Change is HERE. Apply Now!

As part of HERE Technologies employment process, candidates will be required to successfully complete a pre-employment screening process. This offer and any related claims are subject to the successful completion of a pre-employment screening. This will involve employment, education, and criminal verification if applicable.


HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.

 

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Who are we?:

HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.

 

At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.

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Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication

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