Qureos Mentor

Peter Millar

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 It's fun to work in a company where people truly BELIEVE in what they're doing!
 
 
 
 We're committed to bringing passion and customer focus to the business.
 
 
 
 
 We are seeking a Data Science Intern pursuing a master&rsquo;s degree in Data Analytics or a related field to join our dynamic team. The ideal candidate has a strong interest in the retail and apparel space, coupled with foundational experience in Microsoft&rsquo;s Azure platform. This internship offers hands-on opportunities to analyze complex datasets, develop predictive models, and drive actionable insights that impact business decisions.
 
 
 
 
 Work Schedule
 
 
 
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 Part‑time beginning in April
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 Full‑time during the summer months (preferably in office)
 
 
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 Future Opportunity
 
 
 
 This internship offers the potential for full‑time employment upon completion, contingent on performance and organizational needs.
 
 
 
 Key Responsibilities
 
 
 
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 Collaborate with the data science team to design, develop, and implement data-driven solutions tailored to the retail and apparel industry.
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 Conduct exploratory data analysis (EDA) to uncover patterns and trends in customer behavior, sales performance, and inventory management.
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 Build and refine predictive models and machine learning algorithms to enhance business outcomes, such as demand forecasting and personalized marketing strategies.
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 Assist in the integration and management of data pipelines using Microsoft Azure tools, including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
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 Present findings and recommendations through clear visualizations and reports using Power BI or similar tools.
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 Participate in cross-functional projects to align data science initiatives with broader business goals.
 
 
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 Qualifications
 
 
 
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 Demonstrated interest in the retail and apparel industry, with knowledge of market trends or consumer behavior.
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 Hands-on experience with Microsoft Azure services, such as Azure ML, Azure Data Factory, or Azure Synapse Analytics.
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 Proficiency in programming languages such as Python or R, and experience with libraries like pandas, scikit-learn, or TensorFlow.
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 Familiarity with SQL for querying and managing databases.
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 Basic knowledge of data visualization tools such as Power BI, Tableau, or Matplotlib.
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 Strong analytical, problem-solving, and communication skills.
 
 
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 Desired Education And Experience
 
 
 
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 Currently pursuing a Master&rsquo;s degree in Data Analytics, Data Science, Statistics, Computer Science, or a related field.
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 Experience with retail datasets, such as point-of-sale (POS) data, inventory systems, or customer segmentation.
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 Exposure to cloud-based machine learning workflows or model deployment on Azure.
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 Understanding of A/B testing and other statistical evaluation methods.
 
 
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 If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
 
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Data Science Internship

Join Peter Millar and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Peter Millar

About Company

Data Science Internship