Data Scientist Intern

Have you always been curious about what influences people and the decisions they make? Do you love a good mystery? Feel compelled to seek out the true meaning of things?

If so, an internship at Ipsos provides a unique opportunity for anyone interested in a career in market research to work with a team of passionate problem-solvers dedicated to bringing research insights and compelling data to life.

We are seeking a Data Scientist Intern with a working knowledge of mathematics and statistics, and a passion for developing innovative approaches to deriving insights from diverse data sources. The ideal candidate is knowledgeable about a wide variety of data science domains and enthusiastic about exploring new ones to answer difficult analytic questions. They can expect to use a variety of data mining/data analysis methods and data tools; building and implementing models; use/create algorithms and create/run simulations. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. An ability to work with others and communicate technical concepts to non-specialists is essential to this role.

As a Data Scientist Intern, you can expect to do all or some of the following:

• Support a diverse portfolio of projects across Ipsos NA including predictive modeling, text analytics, data mining, exploration, regression, and time series analyses.
• Design, train, and utilize machine learning algorithms and data processing pipelines.
• Research and develop new solutions and deployable tools to facilitate market research.
• Communicate with and provide consulting for internal teams and external clients on data models, analysis findings, process efficiency, and marketing science best practices.
• Create data visualizations, reports, and sometimes dashboards.

Requirements:

• Pursuing a Bachelor’s or Master’s degree in statistics, computer science, or related field
• Proficiency in Python
• Strong technical communication skills
• Good time management, collaboration, and self-sufficiency skills

Nice to haves:

• Proficiency in SQL, R, JavaScript
• Proficiency in data mining, statistical analysis, time series analysis, and machine learning
• Proficiency with data science toolkits (e.g., NumPy, Pandas, SciKit Learn, SciPy, etc.)
• Experience with data visualization tools (e.g., MatPlotLib, Plotly, Tableau, D3.js, etc.)
• Experience with natural language processing, large language models, geospatial analysis, and neural networks
• Experience with cloud computing platforms (AWS, GCP)
• Experience with big data technologies (Spark, Hadoop, etc.)

If you don’t meet 100% of the requirements, we encourage all who feel they might be a fit for the opportunity to apply. We may consider a variety of backgrounds for a particular role and are also committed to considering candidates for available positions throughout our organization, not just the one you’re applying to!