Aldenaire is looking to solve business and technical problems related to digital transformation and innovation consulting by leveraging data science and analytics. The internship aims to drive business innovation, enhance customer experiences, and optimize various business processes through the implementation of digital technologies and data-driven solutions.
Requirements
- Proficiency with Machine Learning model development and mathematical disciplines.
- Experience with R, Python, Scala, D3.js, Tableau, Kibana, HTML5, CSS, Java, .NET languages, ETL/ETLV, Graph/NoSQL, Oracle, and MS SQL Server, RESTful and SOAP Web Services.
Responsibilities
- Consult with and advise clients across multiple industries on designing and implementing digital technologies to drive business innovation and enhance customer experiences.
- Optimize innovation, strategy, product development, manufacturing, and broader supply chain processes in our global Digital Data Science & Internet of Things (IoT) capability.
- Develop data models for digital solutions in various industries covering themes like forecasting, risk analysis, customer behavior, timeseries, asset efficiency, predictive maintenance, multi-dimensional correlation, NLP/NLG, Vision AI, and model benchmarking.
- Build scalable tools for processing large data volumes using on-prem, cloud, and hybrid technologies.
- Design and implement machine learning and data management strategies
- Collaborate with clients and internal stakeholders to develop solutions and contribute to innovative Thoughtware and research.
- Drive internal initiatives and contribute to development of company culture and fellow interns.
Other
- An undergraduate Industrial Engineering, Business, Economics or similar degree in progress with a 3.3 cumulative GPA or higher and an expected graduation date of Spring 2027.
- Previous internship or part-time analytical work experience.
- The ability to organize workstreams, meet project deadlines, and interface with clients through written communication and presentations.
- Demonstrated abilities in leadership and team building.
- Legal authorization to work in the U.S. We will not sponsor individuals for employment visas, now or in the future, for this job opening.
