About the Role
Data Analysis & Wrangling: Collect, clean, and preprocess large datasets from various sources to prepare them for analysis. Identify patterns, anomalies, and trends that contribute to actionable insights.
Predictive Modeling: Apply machine learning algorithms (e.g., regression, classification, clustering) using Python/R to create predictive models aimed at solving business challenges.
Statistical Analysis: Perform hypothesis testing, A/B testing, and other statistical techniques to validate findings and ensure robust data interpretations.
Data Visualization: Create and present compelling visualizations using tools like Tableau, Power BI, or Matplotlib to translate complex data into clear and insightful narratives for stakeholders.
Collaboration: Work closely with data engineers, software developers, and business leaders to implement models into production environments and support ongoing performance monitoring.
Research & Development: Explore and prototype innovative data science solutions, keeping up with the latest trends and technologies in machine learning and AI to propose improvements in current methodologies.
Requirements
We are seeking a highly motivated Data Scientist Intern to join our dynamic data science team. This internship will provide you with an opportunity to gain hands-on experience with real-world data, develop predictive models, and leverage machine learning techniques to solve complex business problems. You will collaborate with experienced data scientists and cross-functional teams to provide data-driven insights that influence strategic decisions. This position is ideal for students or recent graduates pursuing a degree in data science, computer science, statistics, or a related quantitative field.
Key Responsibilities:
Data Analysis & Wrangling: Collect, clean, and preprocess large datasets from various sources to prepare them for analysis. Identify patterns, anomalies, and trends that contribute to actionable insights.
Predictive Modeling: Apply machine learning algorithms (e.g., regression, classification, clustering) using Python/R to create predictive models aimed at solving business challenges.
Statistical Analysis: Perform hypothesis testing, A/B testing, and other statistical techniques to validate findings and ensure robust data interpretations.
Data Visualization: Create and present compelling visualizations using tools like Tableau, Power BI, or Matplotlib to translate complex data into clear and insightful narratives for stakeholders.
Collaboration: Work closely with data engineers, software developers, and business leaders to implement models into production environments and support ongoing performance monitoring.
Research & Development: Explore and prototype innovative data science solutions, keeping up with the latest trends and technologies in machine learning and AI to propose improvements in current methodologies.
Required Qualifications:
Currently pursuing or recently completed a Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related quantitative discipline.
Proficiency in programming languages such as Python, R, and SQL.
Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, Keras) and statistical tools.
Familiarity with big data technologies such as Hadoop or Spark is a plus.
Strong foundation in data structures, algorithms, and statistical analysis.
Excellent communication skills for articulating complex data science problems and solutions to both technical and non-technical audiences.
Ability to work in a fast-paced, collaborative environment, balancing multiple projects while meeting deadlines.
About the Company
What We Offer:
Mentorship from experienced data scientists.
Exposure to real-world data science problems and high-impact projects.
Networking opportunities with industry professionals.
Access to company resources and professional development workshops.
Potential for full-time employment upon successful completion of the internship.