Data Science Summer 2025 Internship | Hybrid

Minneapolis, MN, US, 55416

Allianz

As an international financial services provider, Allianz offers worldwide products and solutions in insurance and asset management.

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At Allianz Life, we are driven by our mission – we secure your future – and by our common goal of caring for tomorrow. We care for our employees by promoting an inclusive culture where everyone has the opportunity to grow and be rewarded for their success. We care for our customers by creating new products that help them protect their families and pursue their retirement goals. We care for our community by giving time, resources, and donations. And we care for the future by supporting sustainability, protecting the local environment, and promoting societal equity.

 

The Data Science team at Allianz Life sits within the Data & Analytics Center of Excellence and is responsible for developing machine learning, automation, NLP, generative AI and other data science solutions across the company. The team supports all areas of the business including operations, sales/distribution, marketing/growth, HR and compliance.

 

The 2024 Data Science Summer Internship position will provide an opportunity to tackle challenging and meaningful real world business problems using cutting edge data science techniques and solutions. You will be working directly with business stakeholders and technical teams on highly visible and highly impactful projects. A successful candidate will have a strong technical background in data science and statistics as well as strong communications skills and a willingness to work in a collaborative environment.

 

What you do:

  • Design and build appropriate data science solutions and/or statistical analyses that will address important business needs
  • Query and prepare relevant data for models and analysis, including performing exploratory data analysis and handling outliers
  • Work closely with business stakeholders and data scientists to understand business problems and develop appropriate solution, including iterating through proof-of-concept solutions
  • Implement high quality code and participate in regular code reviews with data scientists
  • Balance working independently and collaborating with other team members on a variety of projects
  • Identify new opportunities for analytical solutions
  • Present results and recommendations to department and senior leadership

 

What you bring:

Minimum:

  • Working toward a graduate degree in statistics, data science, math, computer science or a related quantitative field
  • Proficiency working with dataframes in Python and/or R
  • Solid understanding of basic statistical concepts (e.g. hypothesis testing) and machine learning techniques
  • Experience working with databases, including relational databases using SQL
  • Ability to summarize, explore, visualize, and manipulate large data sets
  • Ability to deal with the ambiguity of early-stage scoping and evaluation of new opportunities and the flexibility to change direction as additional information becomes available
  • Excellent written and verbal communication skills
  • Curiosity to learn, including an interest in learning about the life insurance and annuities industry


59469 | Data & Analytics | Student | n.a. | Allianz US Life | Full-Time | Temporary

 

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.

 

Join us. Let's care for tomorrow.

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Tags: Computer Science Data analysis EDA Generative AI Machine Learning Mathematics NLP Python R RDBMS SQL Statistics Testing

Perks/benefits: Career development Equity / stock options Insurance Startup environment

Region: North America
Country: United States

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