Data Scientist Intern

Job Description

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SGS & Co is a global brand impact group delivering speed and quality through innovation and insights to drive impact for our world-class clients. We combine deep expertise in design, graphic services, production, technology, and process optimization with unmatched marketplace understanding, dynamic ideas, and client-first customer service. We bring the world’s best brands to life and set them up for success in the modern world.

SGS & Co shifts brands to impact through the strength of our people. Our team of nearly 5,000 employees across 30+countries works collaboratively to exceed client expectations today and anticipate how we’ll need to pivot together to win tomorrow. We take pride in our commitment to diversity, equity, and inclusion along with our ambition to lead the industry to amore sustainable future to drive positive impact for our clients, our people, and our planet.

Profile

Responsible for modeling complex business problems and discovering business insights through the use of statistical, algorithmic, mining, and visualization techniques. The data scientist contributes to building and developing the organization’s data infrastructure and supports the senior leadership with insights, management reports, and analysis for decision-making processes.

Key Responsibilities

• Understands the decision-making process, workflows, and business and information needs of business unit heads and service manager/owners
• Translates business needs into analytics/reporting requirements to support executive decisions and workflows with required information
• Proactively mines data warehouses to identify trends and patterns and generates insights for business units and senior leadership
• Performs large-scale experimentation to identify hidden relationships between variables in large datasets
• Researches and implements cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient
• Determines requirements that will be used to train and evolve deep learning models and algorithms
• Visualizes information and develops engaging reports on the results of data analysis using data visualization tools
• Advises product teams on new products, features or updates through data-based recommendations
• Develops frameworks and processes to analyze unstructured information collected through social media platforms i.e., wikis, blogs, instant messaging, etc. and traditional sources such as e-mail and SharePoint
• Supports user experience specialists and information architects to enhance information visualization through development of dashboards and user interfaces
• Distributes best practices to analytics and product teams and provides consultations for their data-based experimentations

Skills

• Up-to-date knowledge of machine learning and data analytics tools and techniques
• Strong knowledge in predictive modeling methodology
• Experienced at leveraging both structured and unstructured data sources
• Willingness and ability to learn new technologies on the job
• Demonstrated ability to communicate complex results to technical and non-technical audiences
• Demonstrated ability to work with minimal supervision

Experience

• Strong Background in ML and statistics either through projects or prior work experience
• Excellent programming skills in python and SQL
• Experience working with cloud platforms such as Azure, GCP, AWS is a plus
• Strong foundation in data pipelining, streaming
• Strong communication, problem-solving skills and a strong team player
• Basic understanding of libraries like PyTorch, scikit-learn, numpy etc.

Education Requirements

• Bachelors or Master’s degree in Computer Science, Statistics, Mathematics or related fields

Experience

• Strong Background in ML and statistics either through projects or prior work experience
• Excellent programming skills in python and SQL
• Strong foundation in data pipelining, streaming
• Strong communication, problem-solving skills and a strong team player
• Basic understanding of libraries like PyTorch, scikit-learn, numpy etc.

Education

• Bachelors or better in Computer Science or related field