Data Scientist - Schaumburg, United States - Zurich NA

Description

Data Scientist

110915

Zurich North America is looking for a Data Scientist Analyst to join our growing Data & Analytics Team based out of our North American headquarters in Schaumburg, Illinois with a hybrid work schedule available.

This position will join a team that uses that uses a combination of statistical analysis, data science, machine learning, and artificial intelligence techniques to solve our business partners' most pressing problems and help our customers better understand their risks. This person will work with a combination of Data Analysts, Data Engineers, Data Scientists, and Project Managers who support various business units within the organization to achieve impact.

In this role you will:

• Develop & validate supervised & unsupervised learning models, create machine learning and AI models, and use other statistical techniques to solve business problems
• Design and develop data science, machine learning, and AI-based systems to deliver meaningful technology to the business.
• Contribute to the development of a strategy on how to use the model/solution to generate impact
• Collaborate with business stakeholders to understand their challenges and develop an analytical solution that creates business impact
• Contribute to the effort for team to democratize data by consolidating, integrating, cleansing, and minimally curating operational production system data and external data for insight generation
• Perform exploratory analysis which includes understanding the key statistical metrics on data columns, determining the granularity of the data, & assessing any related merge keys for combining the data
• Develop a production, end to end solution for deployment, working closely with Data Engineers and MLOps teams
• Contribute to the development of monitoring framework to ensure the tool is performing as intended
• Support stakeholders after deployment to ensure impact is achieved
• Contribute to the developmentand maintenanceof best practices

Data Scientist Basic Qualifications:

• Bachelors Degree in Computer Science or Mathematics/Statistics and 2 or more years of experience in the transforming data and developing insights for use in business decision areaOR
• High School Diploma or Equivalent in Computer Science or Mathematics/Statistics and 4 or more years of experience in the transforming data and developing insights for use in business decision areaOR
• Zurich Certified Insurance Apprentice including an Associate Degree in Computer Science or Mathematics/Statistics and 2 or more years of experience in the transforming data and developing insights for use in business decision areaAND
• Experience applying data transformation techniques such as exact and probabilistic matching methods; fuzzy matching, text mining, and data reduction

Preferred Qualifications:

• Master's Degree in Computer Science, Engineering, Mathematics or Statistics, or other relevant STEM degree
• Strong statistical modeling and/or advanced machine learning experience
• Strong knowledge of EDA and visualization techniques
• Experience with programming and data tools such as Python, SQL, and PySpark
• Experience with data and data science frameworks such as numpy, pandas, sklearn, nltk, statsmodels, OpenCV, XGBoost, PyTorch, Tensorflow, Keras, etc.
• Experience delivering data science and machine learning solutions to production
• Knowledge of how to prepare data & develop insights
• Advanced problem-solving skills
• Experience working in an agile framework such as scrum or kanban
• Strong verbal and written communication skills, especially the ability to translate technical results for non-technical audiences in a clear and concise manner
• Familiarity with cognitive cloud solutions (e.g. Azure Form Recognizer, Amazon Rekognition, Amazon Textract, GCP Vertex AI)
• Familiarity with software engineering best practices around version control (e.g. Git, Azure DevOps), testing (e.g. PyTest, unittest), containerization (e.g. Docker), and experiment tracking (e.g. MLFlow)
• Nice to have: Familiarity with deep learning approaches (e.g. CNN, transformer, RNN/LSTM/GRU, GCN/GNN) to extract value from massive amounts of unstructured data (text, images)
• Familiarity with advanced NLP techniques including LLMs (e.g. BERT, GPT, Flan-T5, Llama, Dolly, BART), fine-tuning (e.g. PEFT, LoRA, RLHF), embedding approaches (e.g. Word2Vec, t-SNE), prompt engineering, and RAG
• Familiarity with advanced CV techniques including deep learning-based image classification/segmentation/detection architectures (e.g. UNet, Faster-RCNN, YOLO, SegFormer, DeepLab, SwinT, ViT) and self-supervised methods (e.g. MOCO, DINO)

As a condition of employment at Zurich, employees must adhere to any COVID-related health and safety protocols in place at that time ( ).

A future with Zurich. What can go right when you apply at Zurich?

Now is the time to move forward and make a difference. At Zurich, we want you to share your unique perspectives, experiences and ideas so we can grow and drive sustainable change together. As part of a leading global organization, Zurich North America has over 150 years of experience managing risk and supporting resilience. Today, Zurich North America is a leading provider of commercial property-casualty insurance solutions and a wide range of risk management products and services for businesses and individuals. We serve more than 25 industries, from agriculture to technology, and we insure 90% of the Fortune 500. Our growth strategy is not limited to our business. As an employer, we strive to provide ongoing career development opportunities, and we foster an environment where voices are diverse, behaviors are inclusive, actions drive equity, and our people feel a sense of belonging. Be a part of the next evolution of the insurance industry. Join us in building a brighter future for our colleagues, our customers and the communities we serve. Zurich maintains a comprehensive employee benefits package for employees as well as eligible dependents and competitive compensation. Please clickhere ) to learn more.

As a global company, Zurich recognizes the diversity of our workforce as an asset. We recruit talented people from a variety of backgrounds with unique perspectives that are truly welcome here. Taken together, diversity and inclusion bring us closer to our common goal: exceeding our customers' expectations. Zurich does not discriminate on the basis of age, race, ethnicity, color, religion, sex, sexual orientation, gender expression, national origin, disability, protected veteran status or any other legally protected status. EOE disability/vet

Zurich does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resume will become the property of Zurich American Insurance. If you are a preferred vendor, please use our Recruiting Agency Portal for resume submission.

Location(s): AM - Schaumburg

Remote Working: Hybrid

Schedule: Full Time

Employment Sponsorship Offered: Yes

Linkedin Recruiter Tag: #LI-JJ1 #LI-ASSOCIATE