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Applied Data Scientist / Engineer (Toronto-Hybrid)

  • Job
    Full-time
    Mid & Senior Level
  • Data
    IT & Cybersecurity
  • Toronto

AI generated summary

  • You should be skilled in writing production-quality code, have a strong AI and statistics background, be client-facing and eager to learn about the insurance sector and business aspects of products.
  • You will develop fraud detection and claim automation solutions, implement data engineering, refine models, automate tasks in C#, and interact with clients to gather feedback and define roadmaps.

Requirements

  • Code-savvy, either by having a degree in computer science and/or having developed some apps with actual users- writing scripts for models and notebooks is not enough at Shift, we thrive on people who can write maintainable, production-quality code that will run everyday without breaking.
  • AI-savvy, either by having a degree in machine learning and/or statistics. Having a clear understanding of statistics and machine learning problems, tasks and common resolutions is important to communicate internally and explain to the client how the product is working.
  • Client facing. You will need to be comfortable and open to communicating to our clients on a regular basis
  • Business smart. We don’t expect candidates to know the insurance sector, but we want applicants who are interested in learning and mastering the business aspects of our products

Responsibilities

  • You will actively participate in the development of our suite of products: fraud detection, anti-money laundering, and claim automation; and working on various data types such as structured data, free text, documents and images.
  • Implementation of the data engineering, usually from client extracts to the insertion of the data in our data stores (SQL, ElasticSearch)
  • Developing, testing, tuning models and putting them in production for tasks such as fraud detection and automation detection in complex environments.
  • Automate key business tasks by implementing them in our production process framework in C#
  • Conduct meetings with clients and interact with external stakeholders, whether it is for direct user feedback, presenting business cases or defining the roadmap of evolutions

FAQs

What is the job title for this position?

The job title is Applied Data Scientist / Engineer.

Where is the job located?

The job is located in Toronto with a hybrid work model.

What type of company is Shift Technology?

Shift Technology is an InsurTech company that uses AI to transform the insurance industry.

What are the main responsibilities of this role?

Responsibilities include participating in product development for fraud detection, anti-money laundering, and claim automation, implementing data engineering, developing and tuning models, automating key business tasks, and conducting meetings with clients.

What skills are required for this position?

Candidates should be proficient in coding, AI and machine learning, client communication, and have a basic understanding of the business aspects of insurance.

Is prior knowledge of the insurance sector required?

No, prior knowledge of the insurance sector is not required, but a willingness to learn is expected.

What benefits are offered to employees?

Benefits include flexible remote and hybrid working options, competitive salary, company equity, generous PTO, mental health benefits, and paid volunteering days, among others.

How many Data Scientists are there in the Data Science team?

The Data Science team consists of over 140 Data Scientists worldwide.

Is this position client-facing?

Yes, the position requires regular communication with clients.

What type of data will the candidates be working with?

Candidates will work with structured data, free text, documents, and images.

What is meant by "Focus Fridays"?

Focus Fridays is a half-day each month dedicated to learning and personal growth.

Does Shift Technology provide accommodations for individuals with disabilities?

Yes, Shift Technology is committed to providing reasonable accommodations for qualified individuals with disabilities in the application and employment process.

Are interns or apprentices eligible for benefits?

Yes, interns and apprentices may be eligible for some benefits—candidates should ask their recruiter for more details.

Are there opportunities for personal development in this role?

Yes, there are opportunities for personal growth, such as Focus Fridays and generous PTO.

What is the company culture like at Shift Technology?

The company culture is built on innovation, trust, and a drive to transform the insurance industry, with a diverse team from over 50 different countries.

Automate and Optimize Insurance Decision Making with Artificial Intelligence

Technology
Industry
201-500
Employees
2013
Founded Year

Mission & Purpose

Shift Technology delivers AI decisioning solutions to benefit the global insurance industry and its customers. Our products enable insurers to automate and optimize decisions from underwriting to claims, resulting in superior customer experiences, increased operational efficiency, and reduced costs. The future of insurance starts with Decisions Made Better.

Culture & Values

  • We trust talent.

    We value experience and potential. Whether you’re a recent graduate or a mid-career professional, we’re interested in what you’ve done, but even more interested in what you will do to contribute to the future of insurance with Shift.

  • We are stronger together.

    We’re a team with diverse backgrounds, experiences, and stories. We count on each other to help solve difficult problems and deliver the best for our clients–together.

  • We focus on what matters to our customers.

    Big ideas are great. Big ideas that contribute to achieving big goals are even better. We focus on doing what it takes to enable our customers to serve their customers better. Because that’s when everybody wins.

  • We make it happen.

    The (not so) secret ingredient for Shift’s incredible growth and success? It’s our commitment to our teammates, our customers, and ourselves to go above and beyond–in large and small ways–to move the insurance industry forward.