Data Science Intern - May 2023 PEY/Co-op

Key Skills

Algorithms, Amazon Athena, Amazon RedShift, Apache Airflow, AWS Glue, AWS Kinesis, Data Mining, Data Visualization, Decision trees, Deep Learning, DynamoDB, Effective communication skills, Lambda, Large data sets, Machine learning techniques, Neural Networks, Predictive Modeling, Python Programming, R Programming, Regression Analysis, SQL, Statistical modeling, Time series

Job Description

The Opportunity

This exciting new role is available as part of the Overbond product team expansion. We are seeking interns passionate about data science who are excited about utilizing latest statistical, machine learning, and predictive analytics techniques to transform unstructured data to creative solutions that will have direct impact on the business of our clients.

What You'll Do

• Collect, analyze and visualize colossal datasets using a variety of emerging technologies to help solidify our understanding of users and improve product decision-making
• Assist in design, build and maintain an expanding set of robust predictive models and applications to drive forecast accuracy
• Contribute towards data science initiatives to recommend actionable business insights using big data analytics and machine learning techniques
• Leverage distributed and open-source computing tools for recommendations, classification, regression, and feature extraction, from logistic regression to matrix factorization, to deep learning neural networks
• Prepare detailed documentation to specify data sources, models and algorithms used and developed
• Collaborate with the engineering team to deploy models and algorithms in production
• Effectively communicate data insights in a non-technical manner to key stakeholders and senior management team

What You'll Need

• Currently completing Bachelors or Masters degree in relevant disciplines (Mathematics, Computer Science, Statistics or other quantitative related discipline)
• Some experience in data mining, machine learning and statistical modeling
• Solid knowledge in regression, time series analysis, tree methods, neural network, sampling
• Proven track record of building and demonstrating business value from predictive models and data products
• Highly proficient in building statistical and algorithmic models with complex and large data sets such as supervised statistical learning, times-series analysis, regression analysis, data visualization and deep learning
• Capability to architect highly scalable distributed systems, using different open source tools
• Coding experience in SQL or Python or R
• Experience with AWS Kinesis, DynamoDB, Lambda, Redshift, Glue, Athena and Airflow
• An entrepreneurial mindset, likes working in an agile environment, driven to ship frequently
• Excellent communication and interpersonal skills
• Team-oriented, pragmatic, self-starting
• Likes to learn and grow with teammates in a highly collaborative and open environment
• Understanding of, or interest in, finance and investments

What We Offer

• Opportunity to work on a real product with very demanding paying enterprise clients
• Learning and self-development opportunities through online courses and knowledge sharing lecture sessions.
• Extended health coverage (Dental, Vision, Drug plan and other medical services)
• Life Insurance and AD&D coverage
• Paid vacation days, sick days, personal/ emergency days and extended long weekends.
• Monthly team lunches and social events (hosted virtually in light of Covid restrictions)

Successful candidate(s) will have a truly exciting opportunity to be part of the industry leading financial technology company changing the way how global investment banks, institutional investors, corporations and governments access the capital markets. The candidate will work with top notch industry professionals and will be given ample amount of opportunities to learn and contribute.