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Data Science Internship

Italy, Milano · Job Posted January 01, 2026
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Requirements

  • Motivated data scientists with an academic background in STEM or economy/finance
  • Some basic knowledge in Probability Theory, Inferential Statistics, Machine Learning and programming languages (i.e. Python) is required

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Data Science Internship

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Internship Data & Analytics - Back-End Google Cloud

At Hunkemöller, it's about more than working in retail—it's about your passion f...
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Until further notice
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Requirements
Requirements
  • Pursuing a degree in Computer Science, Data Science, Information Management, or a related field
  • Strong understanding of data management concepts, including data warehousing, data modeling, and data governance
  • Experience or familiarity with SQL and cloud-based data platforms (ideally Google Cloud Platform)
  • Exposure to data visualization tools (e.g., Tableau, Power BI, Looker) is a plus
  • Excellent communication and collaboration skills, with the ability to articulate technical concepts to both technical and non-technical audiences
  • Self-motivated and eager to learn new technologies in a fast-paced environment
  • Dealing with English speaking staff and reporting in English
Job Responsibility
Job Responsibility
  • Support the improvement of data governance across our analytics platform by documenting key datasets in BigQuery, enriching metadata, improving business definitions, and helping maintain a clear and usable data dictionary
  • Help classify data assets and contribute to better visibility of data lineage, ownership, and usage, so teams can find and trust the right data more easily
  • Contribute to data quality and observability initiatives by helping define checks for freshness, completeness, schema changes, and failed transformations in dbt and related pipelines
  • Assist in setting up or improving alerting and monitoring for critical data pipelines and analytical datasets, so issues can be detected earlier and followed up more consistently
  • Analyze pipeline and warehouse usage to identify opportunities for cost management and performance optimization in BigQuery and dbt, for example around model design, materialization choices, and query efficiency
  • Support the team in improving visibility of operational metadata such as run results, failures, and freshness indicators, and help make this information more actionable for reporting and support processes
  • Help review legacy models and datasets, identify opportunities for clean-up or simplification, and support the migration toward more maintainable and standardized data products
  • Work together with analytics engineers, business stakeholders, and product teams to translate data platform improvements into practical recommendations and documentation
What we offer
What we offer
  • The Best Internship in Retail (BIIR): Be a part of an exceptional internship program with 50 other fellow interns, filled with diverse learning opportunities such as Personal Branding and Business Innovation & Presenting trainings, the CEO & CFO Q&A, a Dragons’ Den, and so much more
  • An Assigned Buddy: Personal coaching from your buddy to discover your potential, guide your growth and build your network, within an empowering, playful and inclusive work environment
  • Work From Home (WFH) Policy: For 40-hour internships, you are allowed to work from home up to 3 days per week, depending on the nature of your role. During onboarding, WFH days may vary to better support your learning and training
  • Internship Allowance: 450€ per month (gross) with 8+ holiday days (based on 40h/week)
  • Travel Allowance: Max. 11,50€ per day (based on your travel distance), if you are not eligible for the free Student OV Chipcard
  • Additional Benefits: Access to 25% staff discount and a company laptop. Also, company gatherings like Townhalls and drinks
  • Fulltime
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Internship Data & Analytics - AI Lab

At Hunkemöller, it's about more than working in retail—it's about your passion f...
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Netherlands , Hilversum
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Salary:
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Requirements
Requirements
  • Currently enrolled in a relevant degree program (e.g., Artificial Intelligence, Data Science, Computer Science, or Business Analytics)
  • Excellent written and verbal English communication skills
  • Passion for AI: A deep, demonstrable interest in artificial intelligence and a love for hands-on experimentation with new tools
  • Creative Technologist Mindset: You possess a flexible approach to problem-solving, think creatively, and are comfortable navigating ambiguity in an experimental setup
  • Communication: Strong interpersonal skills necessary for participating in stakeholder interviews and translating business problems into technical experiments
Job Responsibility
Job Responsibility
  • Support the AI Lab Manager with stakeholder interviews, use case discovery, and the prioritization of ideas during the foundation phase
  • Assist in executing experiment sprints and developing prototypes to quickly validate AI concepts
  • Actively track the latest developments in generative AI and foundational models, bringing fresh, creative ideas to the team
  • Work flexibly alongside the AI Lab Manager, Data & AI consultants, and creative technologists within an iterative, scrum-based workflow
What we offer
What we offer
  • The Best Internship in Retail (BIIR): Be a part of an exceptional internship program with 50 other fellow interns, filled with diverse learning opportunities such as Personal Branding and Business Innovation & Presenting trainings, the CEO & CFO Q&A, a Dragons’ Den, and so much more
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  • Work From Home (WFH) Policy: For 40-hour internships, you are allowed to work from home up to 3 days per week, depending on the nature of your role
  • Internship Allowance: 450€ per month (gross) with 8+ holiday days (based on 40h/week)
  • Travel Allowance: Max. 11,50€ per day (based on your travel distance), if you are not eligible for the free Student OV Chipcard
  • Additional Benefits: Access to 25% staff discount and a company laptop
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  • Fulltime
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Internship Data & Analytics - Front-End Dashboarding

At Hunkemöller, it's about more than working in retail—it's about your passion f...
Location
Location
Netherlands , Hilversum
Salary
Salary:
450.00 EUR / Month
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Requirements
Requirements
  • Pursuing a degree in Computer Science, Data Science, Information Management, or a related field
  • Strong understanding of data management concepts, including data warehousing, data modeling, and data governance
  • Experience or familiarity with SQL and cloud-based data platforms (ideally Google Cloud Platform)
  • Exposure to data visualization tools (e.g. Looker, Tableau, Power BI) is a plus
  • Excellent communication and collaboration skills, with the ability to articulate technical concepts to both technical and non-technical audiences
  • Self-motivated and eager to learn new technologies in a fast-paced environment
  • Dealing with English speaking staff and reporting in English
  • Available for 5 months starting in September 2026
  • Enrolled at a school or university for the full duration of the internship
  • EU citizen, or on a Family/Partner visa, or non-EU student studying in the Netherlands meeting specific requirements
Job Responsibility
Job Responsibility
  • Gain hands-on experience with Looker, building your skills in developing interactive and insightful visualizations
  • Troubleshoot and Collaborate: Work with the team to investigate data discrepancies, troubleshoot issues, and support Data Analysts and business users with their data questions
  • Support LookML Development: Learn and assist in the development and maintenance of our Looker semantic layer, including views and Explores
  • Contribute to dbt Models: Assist in developing, testing, and deploying data transformation models using dbt to turn raw data into clean, structured data marts
  • Documentation: Assist in writing clear documentation for data models and transformations
  • Learn and Grow: Actively learn our data stack, including dbt, Looker, and Google Cloud Platform, and contribute to the team's success
What we offer
What we offer
  • The Best Internship in Retail (BIIR) program with 50 other fellow interns, diverse learning opportunities such as Personal Branding and Business Innovation & Presenting trainings, CEO & CFO Q&A, Dragons' Den
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  • Internship Allowance 450€ per month gross
  • 8+ holiday days (based on 40h/week)
  • Travel Allowance max 11.50€ per day (based on travel distance) if not eligible for free Student OV Chipcard
  • 25% staff discount
  • Company laptop
  • Company gatherings like Townhalls and drinks
  • Fulltime
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Internship Data & Analytics - MarkTech

At Hunkemöller, it's about more than working in retail—it's about your passion f...
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Salary:
450.00 EUR / Month
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Expiration Date
Until further notice
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Requirements
Requirements
  • Currently pursuing a degree in Computer Science, Data Engineering, Information Management, or a related technical field
  • Solid foundation in SQL and comfortable writing queries to explore, validate, and transform data
  • Some experience with a scripting language like Python, and curious about how to use it for data ingestion and automation
  • Genuine interest in the 'why' behind the data, particularly in areas like marketing analytics, digital advertising, and customer behavior
  • Natural problem-solver, eager to learn modern data stack technologies like dbt, BigQuery, and Looker
  • Strong communicator, able to collaborate effectively with both technical and non-technical teams
  • Fully proficient in English
  • For this internship, you need to be available for 5 months starting in September 2026
  • You must be enrolled at a school or university for the full duration of the internship
  • To comply with Dutch law, one of the following must apply: EU citizen, Family/Partner visa, or non-EU student studying in the Netherlands meeting curriculum or Nuffic Agreement requirements
Job Responsibility
Job Responsibility
  • Work directly with our MarTech stack — such as GTM / server-side GTM, Snowplow, Google Ads, Meta, and ContentSquare — to support data collection, ingestion, validation, and reporting use cases
  • Help build and improve marketing and e-commerce reporting by transforming raw source data into clean, reliable, and analysis-ready datasets using BigQuery and dbt
  • Support the design and improvement of data models used in Looker dashboards, helping ensure KPI definitions are clear, consistent, and aligned with business needs across marketing and e-commerce teams
  • Analyze tracking and reporting issues across the digital funnel, helping identify where data quality, event definitions, or source-to-report logic can be improved
  • Partner with marketing, e-commerce, and data colleagues on customer behavior and performance analysis, using data from tools like Snowplow, ContentSquare, and advertising platforms to generate actionable insights
  • Contribute to monitoring and validation processes for business-critical marketing datasets and dashboards, helping improve trust in the numbers and making it easier to detect issues earlier
  • Help document data definitions, reporting logic, and source relationships so that dashboards and datasets are easier to understand, maintain, and scale over time
  • Support ongoing improvements in model performance and reporting efficiency by helping review how datasets are built and used within our analytics environment
What we offer
What we offer
  • Practical experience working with cutting-edge data management and visualization tools (BigQuery, Looker, SAP Analytics Cloud)
  • Exposure to the inner workings of a data-driven retail organization undergoing a major data transformation
  • Mentorship from experienced data professionals at Hunkemöller
  • Opportunity to contribute directly to impactful data initiatives that drive business value
  • The Best Internship in Retail (BIIR) program with 50 other fellow interns with trainings like Personal Branding and Business Innovation & Presenting, CEO & CFO Q&A, Dragons' Den
  • An assigned buddy for personal coaching
  • Work from home up to 3 days per week for 40-hour internships
  • Internship Allowance: 450€ per month (gross) with 8+ holiday days (based on 40h/week)
  • Travel Allowance: Max. 11,50€ per day
  • Access to 25% staff discount
  • Fulltime
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Data Science Intern

We are looking for enthusiastic and analytical Data Science Interns who are eage...
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India , Pune, Ahemdabad, Mumbai
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Salary:
Not provided
Maxgen technologies Pvt. Ltd.
Expiration Date
Until further notice
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Requirements
Requirements
  • Basic knowledge of Python programming
  • Understanding of statistics and data analysis concepts
  • Familiarity with Python libraries such as Pandas, NumPy, or Matplotlib
  • Basic understanding of machine learning concepts
  • Knowledge of Excel and data visualization techniques
  • Good analytical and problem-solving skills
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Job Responsibility
  • Assist in collecting, cleaning, and analyzing large datasets
  • Support the development of machine learning and predictive models
  • Work with Python libraries such as Pandas, NumPy, and Scikit-learn
  • Create data visualizations and reports to present insights
  • Perform exploratory data analysis (EDA) to identify patterns and trends
  • Help in preparing datasets for training machine learning models
  • Collaborate with the team to solve real-world data problems
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  • Hands-on experience with real-world datasets and projects
  • Mentorship from experienced data scientists
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  • Opportunity for full-time job placement based on performance
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Requirements
  • 0-2 years of professional experience, including internships or graduate placements
  • Bachelor's or Master's degree (or equivalent) in Statistics, Economics, Data Science, Computer Science, Applied Mathematics, or a related analytical field
  • Basic knowledge of Python or R, and other analytics tools
  • willingness to learn more advanced techniques
  • Understanding of statistical modeling, regression, econometrics, Bayesian statistics, and/or marketing metrics
  • Ability to work with and clean large datasets while maintaining attention to quality
  • Proficient in Microsoft Office (Excel, PowerPoint, Word)
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  • Ability to work autonomously while being a collaborative team member
  • Strong communication skills to engage with clients and internal teams
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  • Contribute to one major client project in Marketing Mix Modeling (MMM) and Marketing Mix Optimization (MMO)
  • Clean, prepare, and manipulate data from multiple sources using Python, R, SQL, or Excel
  • Support statistical and predictive modeling, including regression, econometrics, Bayesian methods, and marketing metrics
  • Help develop dashboards, charts, and visualizations to communicate insights effectively to clients and internal teams
  • Participate in client meetings and calls under supervision, contributing insights and helping translate analytics into practical recommendations
  • Support the preparation of client deliverables, ensuring accuracy, quality, and timely delivery
  • Take part in team knowledge-sharing sessions, learning from colleagues and sharing best practices where possible
  • Take ownership of professional development, pursuing relevant certifications and training paths in programming, analytics, and data science
  • Actively participate in office meetings, training sessions, and team initiatives
  • Champion and role-model our core values: Curiosity, Creativity, Excellence, Generosity, and Enjoyment
  • Fulltime
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Sports Science Internship

Wrexham AFC have several Sports Science paid internships available for the 2026/...
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Location
United Kingdom , Wrexham
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Salary:
Not provided
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360 Resourcing Solutions
Expiration Date
Until further notice
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Requirements
Requirements
  • Studying towards a degree in Sports Science (or equivalent level of qualification) with a placement year
  • Experience of working with athletes – from novice and amateur to professional
  • Experience of completing physical exercise and strenuous activities
  • A current FA/FAW Safeguarding Children Workshop Certificate (or willingness to complete within 1 month of appointment)
  • Have a keen interest in Strength and Conditioning aspect of sports science
  • Ability to meet the travel needs of the post (which includes travel across the UK and occasionally overseas)
Job Responsibility
Job Responsibility
  • Providing accurate GPS reports of team and individual analysis on a daily, weekly basis
  • Ensure Train my Athlete (TMA) / Football Intelligence Platform (FIP) is consistently and regularly updated in relation to all Sport Science, S & C, and data requirements
  • Assist with daily workflow to set up training and gym sessions
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  • Contributing towards player rehab and performance programmes
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  • Working matchdays and assisting as directed by relevant staff
  • Support the training sessions / gym sessions / rehab sessions as requested
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What we offer
  • Enhanced holidays
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Internship at Enpal, Germany's first green unicorn, focused on making green ener...
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Salary:
Not provided
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Expiration Date
Until further notice
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Requirements
Requirements
  • Currently enrolled in a Master’s program in Data Science, Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related field
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  • Strong Python skills (pandas, NumPy, scikit-learn, matplotlib/seaborn, etc.)
  • Solid understanding of statistics, hypothesis testing, and machine learning algorithms
  • Proficient in data analysis, feature engineering, and SQL
  • High attention to detail, analytical mindset, and ability to work independently
  • Quick learner with strong problem-solving and communication skills
Job Responsibility
Job Responsibility
  • Develop and deploy lead scoring models to help sales teams prioritize high-value opportunities
  • Build customer segmentation systems to identify patterns across large datasets
  • Implement continuous learning pipelines for models that improve automatically over time
  • Take models from experimentation to production-ready systems handling real traffic
  • Monitor model performance and detect drift in production
  • Work on real systems with high business impact and ownership
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What we offer
  • modern office in Berlin-Friedrichshain with flexible remote options
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  • Lunch & Learn sessions
  • team events
  • feedback culture
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