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Internship Healthcare & Life Sciences – Data Science

Stockholm, SE

Pay
Pay not listed
Work setting
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Employment
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What you’ll work on

Full posting
  • Clean data, run exploratory analysis, and engineer features for models

  • Support data pipelines, ETL workflows, and quality checks

  • Create dashboards, visualizations, and presentation or workshop materials

  • Help design and test GenAI-supported solutions for healthcare challenges

From the employer’s posting
Your tasks will include data cleaning, exploratory data analysis, feature engineering, statistical analyses, and the development and evaluation of models
You will support the development and maintenance of data pipelines and ETL workflows, as well as quality checks
create dashboards, visualizations, documentation, as well as presentation and workshop materials
You will support our project teams in designing and testing GenAI-supported solutions for Healthcare Life Sciences challenges

Tools in this posting

  • Python
  • SQL
  • Excel
Source — Tool mentions in context
You are comfortable working with Python and/or SQL.
Fluent Swedish and English skills, together with proficiency in MS Office, particularly Excel and PowerPoint, complete your profile.

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 27, 2026 · 2 days ago
Recorded sightings
3
Last seen by us
Oct 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

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Job description

View original posting ↗

Would you like to gain hands-on experience at an international consulting firm and help shape the digital transformation of companies in Healthcare Life Sciences? With us, you can combine your interest in strategy, digital trends, and business topics with your analytical skills. Join our consulting team with a focus on Strategy Transformation for at least 10 weeks. What makes us special: Become part of a unique entrepreneurial team. Think independently, use your initiative, and take some risks. Entrepreneurship is a powerful force that drives the growth not only of our firm but our clients and people. Personal development: Benefit from regular feedback sessions and bring your own perspective to our corporate culture. You will also receive one year of free access to LinkedIn Learning, which you can continue to use after your internship. Celebrate together: Connect with colleagues at regular employee events. Your internship as a career starter: Opportunities to join us permanently after your internship. Growing together: Sustainably and for the long term! That is what Simon-Kucher is all about. Our strength is an inspiring, highly motivated, and friendly team. And now it is your turn to become part of the open, appreciative start-up atmosphere of an established company with a 40-year track record of success. How you will create an impact: You will support our Healthcare Life Sciences project teams in deriving well-founded insights from complex data and developing data-driven solutions for our clients. Your tasks will include data cleaning, exploratory data analysis, feature engineering, statistical analyses, and the development and evaluation of models. You will support the development and maintenance of data pipelines and ETL workflows, as well as quality checks to ensure a reliable data foundation. You will tailor analytical results to the relevant audience and create dashboards, visualizations, documentation, as well as presentation and workshop materials. You will support our project teams in designing and testing GenAI-supported solutions for Healthcare Life Sciences challenges. In addition, you will contribute to research, analyses, client discussions, and workshops, gaining comprehensive insight into the intersection of data science and consulting. About You: You have an excellent academic record in an advanced bachelor’s or master’s degree program, for example in Data Science, Computer Science/Business Informatics, Engineering, Mathematics/Business Mathematics, or a comparable field. You have gained initial practical experience through internships in programming, machine learning, data engineering, and data visualization. You also have knowledge of data preparation and analysis, feature engineering, statistical modeling, and model evaluation, and are familiar with relational databases and ETL processes. You are comfortable working with Python and/or SQL. Fluent Swedish and English skills, together with proficiency in MS Office, particularly Excel and PowerPoint, complete your profile. Ready to apply? Send us your CV, cover letter and transcripts via the “Apply now” button. Please note that, for data protection reasons, we cannot accept applications by email. About Simon-Kucher Simon-Kucher is a global consultancy with more than 2,200 employees in 30+ countries. Our sole focus is on unlocking better growth that drives measurable revenue and profit for our clients. As a trusted commercial advisor, we combine deep consulting expertise, growth specialization, and technology to scale impact. We optimize every lever of commercial strategy – product, pricing, innovation, marketing, sales, and digital – based on deep insights into what customers value and are willing to pay for. With over 40 years of experience in monetization, we are regarded as the world’s leading commercial growth and pricing specialist. simon-kucher.com We believe in building a culture that embraces diversity, equity, and inclusion, creating an environment in which our people feel valued, are able to be themselves and feel their contribution matters. If we get that right, remarkable things will happen; people will grow faster, innovate, feel valued, and create better outcomes for everyone – our people, our clients and, of course, our business. Your personal contact: Emilia Svedlind emilia.svedlind@simon-kucher.com
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Location & working pattern

Stockholm, SE

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