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Data Scientist
4 months ago
Company Description
As the largest aggregator of structured risk information and property data in Canada,_ Opta Information Intelligence_ is a leading provider of property intelligence and innovative technology solutions. Combined with proprietary technology, Opta helps clients access, understand, and synthesize previously inaccessible information, turning it into intelligence that helps to discover and understand business risks.
**Job Description**:
As the nation’s largest data aggregator, and a market leader in analytics solutions for the insurance and financial industry, Opta Information Intelligence is looking to bolster its growing data science team. By building and delivering complex machine learning-based products, you’ll have an opportunity to positively impact the decision-making of our many clients and partners.
**Responsibilities**:
- Conduct research into latest developments and provide business with solutions to the range of data science problems
- Develop end-to-end machine learning, from research and development to deployment into our production system
- Liase with Product and IT teams to push through new products
- Work with our machine learning engineers to ensure smooth deployment of models into production
- Sets the vision for the use of new and innovative tools and technology.
- Employ coding and documentation best practices
- Maintains and fosters an industry awareness of new developments in machine learning techniques and tools, and ensures quick execution in their use within the department
**Qualifications**:
- Bachelors or Masters Degree in Quantitative Analytics, Statistics, Mathematics, similar discipline
- 3+ years of experience developing and deploying machine learning models
- 3+ years of Statistical Analysis and Modeling
- Experience running and owning Data Science projects with mínimal help from senior staff
- Experience working with AWS services including: S3, Lambda, EC2, Step Functions, Redshift, SageMaker
- Expert level knowledge of Python
- Strong background in deep learning frameworks such as TensorFlow or PyTorch
- Experience dealing with non-data science teams and translating technical ideas to non-technical people
- A passion for Data Science and a strong growth mindset
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Additional Information
We are proud to be a part of the Verisk family of companies
At the heart of what we do is help clients manage risk. Verisk (Nasdaq: VRSK) provides data and insights to our customers in insurance, energy and the financial services markets so they can make faster and more informed decisions.
Our global team uses AI, machine learning, automation, and other emerging technologies to collect and analyze billions of records. We provide advanced decision-support to prevent credit, lending, and cyber risks. In addition, we monitor and advise companies on complex global matters such as climate change, catastrophes, and geopolitical issues.
But why we do our work is what sets us apart. It stems from a commitment to making the world better, safer and stronger.
It’s the reason Verisk is part of the UN Global Compact sustainability initiative. It’s why we made a commitment to balancing 100 percent of our carbon emissions. It’s the aim of our “returnship” program for experienced professionals rejoining the workforce after time away. And, it’s what drives our annual Innovation Day, where we identify our next first-to-market innovations to solve our customers’ problems.
At its core, Verisk uses data to minimize risk and maximize value. But far bigger, is why we do what we do.
At Verisk you can build an exciting career with meaningful work; create positive and lasting impact on business; and find the support, coaching, and training you need to advance your career. We have received the Great Place to Work® Certification for the fifth consecutive year. We’ve been recognized by Forbes as a World’s Best Employer and a Best Employer for Women, testaments to our culture of engagement and the value we place on an inclusive and diverse workforce. Verisk’s Statement on Racial Equity and Diversity supports our commitment to these values and affecting positive and lasting change in the communities where we live and work.
Verisk Analytics is an equal opportunity employer.
All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.
**Consumer Privacy Notice**
All your information will be kept confidential according to EEO guidelines.
