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Intern Data Science - Web & Commerce Analytics (f/m/x)

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BMW Group

Yesterday

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Research & Development
  • Munich

AI generated summary

  • You must be enrolled in a relevant degree program, have data science experience, strong skills in Python and SQL, and knowledge of cloud systems. Familiarity with e-commerce analytics is a plus.
  • You will analyze website traffic, build data-driven solutions, implement Machine Learning models, conduct predictive analytics, and explore Generative AI projects to drive optimization.

Requirements

  • Currently enrolled full-time in an undergraduate or graduate program at an accredited college or university studying Computer Science, Statistics, Informatics, Data Science (Master's Degree preferred), or similar programs or in a Gap Year.
  • Proven experience as a Data Scientist, Machine Learning Engineer, or similar role.
  • Strong mathematical and statistical skills, with the ability to analyze, interpret, and handle complex and large data sets (millions of rows).
  • Knowledge of programming languages (i.e., Python, SQL, PySpark) and frameworks such as Scikit-Learn, TensorFlow, and PyTorch.
  • Knowledge of Cloud-Architecture and Data Engineering systems (i.e., AWS, Palantir Foundry, Spark) and ML Ops Frameworks (i.e., MLFlow, Airflow) is beneficial.
  • Experience in E-Commerce platforms such as Google & Adobe Analytics is a plus.
  • Note: Please include your GitHub Account in your CV if you should have one.

Responsibilities

  • By joining BMW's Web & Commerce team, you will gain extensive insights into a globally operating analytics team.
  • You support our team in deriving recommendations for actions to improve our websites and find opportunities to create immediate value by building data-driven solutions.
  • Furthermore, you independently create advanced analytics methods, implement Data Science use cases and Machine Learning models, and conduct ML Ops approaches such as version control, model deployment, and monitoring.
  • Perform predictive analytics to analyze patterns and trends in website traffic and revenue and identify opportunities for optimization.
  • You will be an integral team member, responsible for various projects, and your contribution will directly impact our products.
  • To act as a consultant recommending the latest trends in the Data Science field and work with other top consultancies to help build in-house competencies will be also part of your tasks.
  • To explore potential Generative AI projects and develop proof-of-concepts as relevant rounds off your exciting job field.

FAQs

What department will the intern be working in?

The intern will be working in the Web & Commerce Analytics department of the BMW Group.

What are the main responsibilities of the internship?

The main responsibilities include deriving recommendations to improve websites, creating advanced analytics methods, implementing Data Science use cases and Machine Learning models, performing predictive analytics, acting as a consultant on Data Science trends, and exploring Generative AI projects.

Is previous experience required for this internship?

Yes, proven experience as a Data Scientist, Machine Learning Engineer, or similar role is required.

What qualifications are needed to apply for this internship?

Applicants should be currently enrolled full-time in an undergraduate or graduate program studying Computer Science, Statistics, Informatics, Data Science, or similar fields. A Master's degree is preferred.

What programming languages and frameworks should applicants be familiar with?

Applicants should have knowledge of programming languages such as Python and SQL, as well as familiarity with frameworks like Scikit-Learn, TensorFlow, and PyTorch.

Are there specific analytics platforms that experience is beneficial for?

Yes, experience with E-Commerce platforms such as Google Analytics and Adobe Analytics is a plus.

What is the duration of the internship?

The internship lasts for 6 months.

What is the earliest starting date for the internship?

The earliest starting date for the internship is from February 1, 2025.

Will the intern receive mentoring and onboarding?

Yes, comprehensive mentoring and onboarding will be provided to the intern.

Are there any benefits offered during the internship?

Yes, benefits include flexible working hours, digital offers & mobile working, attractive remuneration, and apartment offers for students (subject to availability in Munich).

Is it necessary to include a GitHub account with the application?

Yes, applicants are requested to include their GitHub account in their CV if they have one.

What is the working schedule for the internship?

The working hours for the internship are full-time.

BMW Group

Automotive
Industry
1-10
Employees

Mission & Purpose

With its four brands BMW, MINI, Rolls-Royce and BMW Motorrad, the BMW Group is the world’s leading premium manufacturer of automobiles and motorcycles and also provides premium financial and mobility services. The BMW Group production network comprises over 30 production sites worldwide; the company has a global sales network in more than 140 countries. In 2023, the BMW Group sold over 2.55 million passenger vehicles and more than 209,000 motorcycles worldwide. The profit before tax in the financial year 2023 was € 17.1 billion on revenues amounting to € 155.5 billion. As of 31 December 2023, the BMW Group had a workforce of 154,950 employees. The success of the BMW Group has always been based on long-term thinking and responsible action. The company set the course for the future at an early stage and consistently makes sustainability and efficient resource management central to its strategic direction, from the supply chain through production to the end of the use phase of all products.

Benefits

  • High Work-Life Balance

    Striking a healthy balance between work and personal life is important to us. It keeps us motivated and productive in the long term and thus contributes to our company's success. We support our employees in this aim: through flexible working time models, with care obligations towards dependents, assistance with child care and provision of services and facilities promoting fitness and health.

  • Paid Holiday

    With our paid holiday, we always have enough time to pursue our wanderlust. Whether we feel like visiting countries abroad or just exploring our homeland, there’s no reason to rush. From our balcony or the mountains to exotic beaches, with the amount of free time we can explore, relax, recharge our batteries and simply enjoy life wherever we are.

  • Flexible Working Time Models and Home Office.

    We give special priority to the needs of women and men who wish to devote more time to the family on a temporary basis and also to employees with care obligations towards dependents. Far beyond the legal requirements the BMW Group offers employees the possibility of working flexibly: e.g. the options range from working from home or flexitime days through non-working shifts.

  • Performance-Related and Above Average Pay.

    As performance is highly valued at the BMW Group, we offer our talents performance-related pay that far exceeds legal and collectively agreed requirements. And holiday pay makes every trip even more enjoyable, but that’s not all by far.

  • Employee Vehicle Programme.

    Discovering that unique go-kart feeling – or simply enjoying sheer driving pleasure: all our colleagues have the opportunity to drive their very own BMW or MINI on particularly attractive terms. This way, for many talents enjoying work already starts on the way to the office. With our vehicle configurator, we can create our dream car according to our own wishes and then buy it at an attractive discount – it’s also possible to finance or alternatively lease it. But that’s not all, as we can also benefit from special conditions on a wide range of used cars.

  • Health Management Programmes.

    We want to keep our talents in the best of health. We have our own company healthcare service, which includes preventative measures, stress management, nutritional advice and health training, such as a cardiac sports group. Our medical officers always have time for us: whenever we need medical advice, we can just drop in. We also provide medical screening, vaccinations as well as first-aid kits before business trips abroad and a lot more.