Jr. Data Scientist - Technology Associate Program (330306)
Chubb is looking for individuals passionate about technology to join our Technology Associate Program (TAP). The Technology Associate Program is a two year program geared to early career professionals to help them develop expertise and technical acumen as a technologist. By joining the Technology Associate Program, you will be offered the following:
- Technical training to enhance your skills within your chosen discipline
- Business acumen and professional development training specific to IT and an understanding of our broader industry
- IT Mentorship Program
- Networking opportunities with IT and Business leaders and TAP associate peers.
- Hackathons
Position Summary:
This position offers the opportunity to experience a wide variety of technology, tools and business problems as well as unique challenges in problem-solving. The focus is on applying a combination of industry standard practices and innovative ideas using data from multiple sources (structured and unstructured) and applying machine learning and statistical techniques to build models, evaluation of models and supporting implementation of models.
What about you?
- You are highly collaborative, creative, and intellectually curious individual who is passionate about engineering and supporting cutting-edge computing capabilities.
- You have a strong curiosity and internal drive to resolve operational challenges and engineer solutions to decrease issues in the future.
- You are adaptable and able to overcome technical challenges
- You are a self-starter and motivated to learn and succeed.
Responsibilities:
- Collaborate with business partners and peers in the organization to understand and scope the problem, gather business requirements and plan projects tasks and timelines.
- Execute all aspects of analytics initiatives including exploratory data analysis, model development, model evaluation and benefit estimation.
- Research, recommend, and implement machine learning techniques and algorithms, such as GLM, k-NN, Naive Bayes, SVM, Random Forest, Gradient Boosting, etc
- Understanding of natural language processing, such as topic modelling, entity extraction, and deep learning algorithms, such as CNN, RNN, etc.
- Experience in deep learning framework such as TensorFlow, PyTorch, CNTK, etc.
- Experience using statistical programming with at least one language such as Python, R, Scala
- Proficiency with machine learning libraries for Python (scikit-learn, Pandas, SciPy, NumPy, etc)
- Experience developing data visualizations using a tool such as Matplotlib, Shiny, Bokeh, etc.
- Experience in command line and scripting languages
- Ability to effectively present and explain complex concepts to a non-technical audience
Desired Qualifications:
- Experience with Python
- C++, Java or Scala experience
- Use of libraries, data manipulation, and production quality code
- Energetic, able to build and sustain long-term relationships across a multitude of stakeholders in a fast paced, multi-national work environment.
- Possess strong verbal and written communication skills and ability to present, persuade and influence peers.
- Bachelor's degree required
Bonus Skills:
- Experience working in parallel, distributed systems with technologies such as Spark / PySpark, Hadoop, Databricks, etc.