We are looking for forward-thinking data science enthusiasts who are interested in designing, developing, and optimizing impactful Advanced Analytics Solutions & Experiments. The Data Science Internship will provide a strong foundational knowledge and exposure to cutting edge technologies and techniques. We have multiple openings and offer both full-time and part-time engagements.

About Systech:

Systech is a modern Data and Analytics consulting firm, helping clients embed data -driven capabilities into their business operations. We offer end-to-end data engineering services and outcomes-basedanalytics solutions, todrive your business forward in the digital age. Systech has over 25 years of experience, delivering 1500+ projects to industry- leading brands across the world.

Some of the projects other interns have worked on: 

  • Increased contribution and effectiveness of every marketing dollar through AI and ML – enabled modeling

  • Detected fraud and compliance irregularities

  • Implemented advanced ML and Deep Learning algorithms to prevent revenue leakage and illuminate new areas of opportunity for innovation

  • Maximized revenue by optimizing products, services and offers mix

  • Increased operational efficiency with optimized supply chain and demand forecasting

  • Reduced patient readmission percentage and prevented penalties for a Skilled Nursing Facility

  • Optimized effort/cost invested in reaching out to customer by predicting their propensity to respond

  • Enabled effective operational decision-making through predictive modeling of ETA for Intermodal Transport Networks

 

At Systech, you will have the opportunity to:

  • Implement enterprise-level machine learning solutions to solve business challenges using programming languages like Python and cloud platforms like Amazon Web Services

  • Synthesize and leverage complex datasets to drive data strategy/execution and develop Proof of Concepts

  • Design and develop dashboards to present predictions and insights

  • Conduct advanced research for identifying and implementing latest analytics solutions

  • Assist senior members to conduct comprehensive Machine Learning workshops/Webinars

  • Work on case studies and white papers showcasing the power of advanced analytics

  • Wrangle data and perform slice and dice analysis using SQL

  • Understand a real-life business problem and try to solve it using Advanced Analytical solutions

 

The ideal candidate possesses one or more of the following:

  • (Working towards) a degree in Business Analytics, Statistics, Data Science, Information Systems, Computer Science, or related field required

  • Practical experience and expertise in applied statistics and machine learning methodologies (E.g. Classification, Regression, Clustering, Time Series Analysis, Hypothesis Testing, Dimensionality Reduction.

  • Hands on experience using statistical programming languages like Python or R (Python Preferred)

  • Experience with data exploration and visualization tools (for ex. Tableau, PowerBI)

  • Strong SQL skills

  • Experience with Database Management/Distributed Framework: AWS, Oracle, MySQL, SQL Server, Spark

  • Knowledge in REST APIs, CI/CD and Docker

  • Experience with Cloud platforms (AWS, Azure, etc.)

  • Demonstrated ability to translate complex data sets into clear and actionable narratives, and the ability to communicate opportunities and challenges to multiple stakeholders

  • Ability to think strategically and deliver optimized solutions under stringent deadlines

  • Excellent communication, documentation, and presentation skills