Applied Data Scientist / Engineer (Toronto-Hybrid)

Description

Applied Data Scientist / Engineer (Toronto-Hybrid)

Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance-grade AI is accurate, explainable, and secure—empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve.

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Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance.

Learn more at www.shift-technology.com

The Data Science team works on a broad range of subjects. We actively participate in the definition and development of our suite of products on fraud detection, anti-money laundering and claim automation. We have a lot of technical and professional experience in data science, data engineering, coding, business understanding and client interactions. Additionally, we also work on various data types such as structured data, free text, documents and images.

This role is part of our Data Science team which is the largest team in our organization consisting of over 180+ Data Scientists throughout the world.

Our Data Scientists work in a full lifecycle role and on a broad range of subjects acquiring extensive technical and professional experience in data science, data engineering, coding, business understanding and client engagement.

Our company is small enough that each person’s achievements has an impact on our overall performance, yet big enough to be a world leader and innovator in our domain.

As a member of the data science team, you will be working alongside our technical experts and your role will be key to rolling out our enterprise level solutions to our clients.

Job 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

WHAT WE ARE LOOKING FOR

We are looking for candidates with diverse technical skills to help us build excellent technology solutions for our clients and be proficient in the following skills:

Code-savvy with 2+ years of experience in C and SQL , 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

LI-MG1

LI-HYBRID

To support our permanent, full time employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we’d like to highlight:

Flexible remote and hybrid working options

Competitive Salary and a variable component tied to personal and company performance

Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth

Generous PTO and paid holidays

Mental health benefits

2 MAD Days per year (Make A Difference Days for paid volunteering)

Additional benefits may be offered by country, based on your eligibility - ask your recruiter for more information. Intern and Apprentice positions may receive some of these benefits - ask your recruiter for more details.

AI tools are used to help review applications for this role. Read our AI in Recruitment Notice for what the AI considers, how to request a human review, and our most recent bias audit.

Please be aware of scammers and only trust correspondence that comes from emails ending in "shift-technology.com". We will never do initial outreach to you via Whatsapp/Text/SMS, never ask for banking information or personal identification numbers (ex. Social Security Number) as part of our recruitment process.

Shift Technology does not accept unsolicited CVs from recruiters or employment agencies in response to the Shift Technology Careers page or a Shift Technology social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Shift Technology.