Applied Systems, Inc., a worldwide leader in insurance technology, is currently searching for a Senior Data Scientist to join our team. In this role, the successful candidate will be responsible for building enterprise-scale, cloud-native, AI systems that leverage state-of-the-art data science practices.

The Sr Data Scientist will work collaboratively with peers to design AI/ML models, algorithms, and experiments that will drive business value. The ideal candidate will have a deep understanding of the current AI landscape. This will include demonstrated experience leveraging and fine-tuning Large Language Models, developing solutions using Gen AI, as well as contributing toward building an End-to-End LLMOps. 

What You’ll Do

• Develop and implement robust AI solutions
• Run projects to drive business growth
• Conduct research to determine viable paths for AI product services, easily factoring in cost analysis and accuracy results.
• Participate in the architectural design, hands-on development, and collaborative deployment of cloud-native AI solutions that are efficient and scalable.
• Lead initiatives within the team and across teams to identify, prioritize, and address critical needs, challenges, and opportunities
• Conduct model research and options analysis to prepare potential solutions for evaluation and recommendation
• Make recommendations while balancing tradeoffs between short-term and long-term goals
• Provide comprehensive feedback in design reviews, code reviews, and data analysis
• Contribute to the end-to-end AI processes from data acquisition, data processing and validation, model training or algorithm design, robust experience in testing, to familiarity with deployment
• Ensure the quality and accuracy of models by applying data and AI best practices, conducting thorough testing, and work collaboratively with team for maintenance of AI services

What You’ll Need to Succeed

Your experience should include some or all of the following:

• 5+ years of experience in data science / mathematics & stats / ML / AI engineering roles of increasing complexity 
• Experience in developing AI models using Python / Golang or other related programming languages
• Experience optimizing Natural Language Processing or Computer Vision models for specialized tasks 
• Experience with deep learning frameworks such as Tensorflow, Keras, or PyTorch
• Experience with vector databases such as ChromaDB, ElasticSearch
• Experience building a RAG model
• Experience with Gen AI services in a native cloud service
• Demonstrated experience supporting all phases of an AI model’s lifecycle
• Demonstrated experience in cloud-native technologies, including cloud computing, distributed computing, data warehousing, and big data processing 
• Proven track record of effectively collaborating with cross-functional teams to deliver high-quality AI solutions 
• Excellent communication skills, including the ability to communicate complex technical concepts to both technical and non-technical stakeholders
• Demonstrated ability to work independently, with minimal guidance, and balance multiple projects simultaneously 
• Strong problem-solving skills and ability to think creatively to derive effective solutions to complex challenges
• Degree in computer science, math, statistics, data science, engineering, or a related field
• We proudly support and encourage people with military experience, as well as military spouses, to apply

What You’ll Gain

Benefits from Day One

• Health insurance plans, dental, and vision
• Wellness incentives
• 401(k) and/or RRSP retirement savings plans with employer match

Work-Life Balance

• Competitive paid vacation time and a free day for your birthday
• Personal/sick time
• Paid holidays
• Flex Time
• Paid parental leave (U.S. candidates)
• Volunteer time off

Empowering Career Growth and Success – We invest in talent, care about our people and are empowered by the results of our work. We grow our teams from within and give our employees opportunities to advance.

What We Value

We strive for excellence at every turn to be the best at what we do. We invest in talent, care about our people and are empowered by the results of our work. We fulfil the promise of insurance – safeguarding and protecting what matters most in people’s lives. And there is no more important job than that.

Our focus on the workforce, workplace and marketplace gives us a qualified individual in an environment in which they can be productive while we maintain our position in the industry. To help drive that change toward a vibrant, modern workplace, we have employee-driven networks with commonalities in ethnicity, gender, sexual orientation and military status.

Who We Are

Applied Systems is the leading global provider of cloud-based software that powers the business of insurance. Recognized as a pioneer in insurance automation and the innovation leader, Applied is the world’s largest agency and brokerage management systems provider, serving customers throughout the United States, Canada, the Republic of Ireland, and the United Kingdom. By automating the insurance lifecycle, Applied’s people and products enable millions of people worldwide to safeguard and protect what matters most.

For 40 years, Applied Systems has led an industry we helped to create with a mission to continuously improve the business of insurance. From partnerships, acquisitions, and insurance innovation initiatives, Applied has focused on efforts to be the indispensable partner in our industry.

It’s an exciting time at Applied. You can do big things here, in an environment that supports creative thinking and bold ideas. Visit http://www.AppliedSystems.com for more information on how you can challenge what’s possible.

EEO Statement 

Applied Systems is proud to be an Equal Employment Opportunity and Affirmative Action Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.

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