Job description:
Our client of Canada is looking for exceptional data scientist to synthesize our extensive policyholder and claims data into business enhancing predictive models that will ultimately impact the company’s bottom line. This is a unique opportunity to join a new, multidisciplinary team who work on high-impact projects to bring efficiencies to all functional areas of our business. The team works in a fast-paced environment, using techniques and algorithms best suited for solving challenging problems of the insurance industry.
...
Advantages
Benefits to joining Our client:
Flexible Work Arrangements
Employee discounts (15% on auto and property insurance, plus many other products and services)
Good Office program (receive up to 400$ back after purchasing office equipment)
Student Loan Payment Matching Program for Government Student loans
Comprehensive Retirement Savings Program with employer matched contributions
Annual Wellness allowance to support employees with improving health and wellbeing
Personal reflection day
Tuition Reimbursement
Working within the community and giving back!
Responsibilities
Accountabilities:
The successful candidate will gain exposure to all aspects of insurance operations with respect to claims, underwriting and pricing, as well as general areas of business operations such as human resources and marketing, working on high impact actionable projects. You will learn the business knowledge of the prospective stakeholder through their information datasets. Combining quantitative data with business domain knowledge, you will transform them into predictive models that provide insights that ultimately produce new and creative analytic solutions as part of our core deliverables. This role will work hand in hand with data scientists, business stakeholders in developing models and identifying strategies to improve the company’s bottom line.
Qualifications
Qualifications:
Minimum of 2 - 3 years of Machine Learning and analytics experience within a professional services firm or similar industrial environment.
Bachelor's degree or higher from an accredited college in a Mathematics, Statistics, Actuarial Sciences, Computer Science, Physics, Engineering, or a related field.
Strong programming skills, ability to write production level code in Python.
Working experience in Machine learning algorithms, model implementation and optimization to solve Regression, Classification and Segmentation problems.
Experience with ML frameworks/libraries e.g. Scikit-learn, Pandas, Matplotlib, Seaborn, Tensor flow or Pytorch.
Business and analytics acumen to run and interpret the results of models - turn large amounts of complex, detailed information into clear summaries and business recommendations.
Excellent collaboration skills and the ability to work in a team environment and across multiple sites and business units.
Excellent communication and interpersonal skills - be able to effectively communicate complex results to a business audience not familiar with complex data and analytics.
Summary
If you have the right profile please email your word resume to joyce.ho@randstad.ca, or Madhu.lakkundi@randstad.ca
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
show more
Job description:
Our client of Canada is looking for exceptional data scientist to synthesize our extensive policyholder and claims data into business enhancing predictive models that will ultimately impact the company’s bottom line. This is a unique opportunity to join a new, multidisciplinary team who work on high-impact projects to bring efficiencies to all functional areas of our business. The team works in a fast-paced environment, using techniques and algorithms best suited for solving challenging problems of the insurance industry.
Advantages
Benefits to joining Our client:
Flexible Work Arrangements
Employee discounts (15% on auto and property insurance, plus many other products and services)
Good Office program (receive up to 400$ back after purchasing office equipment)
Student Loan Payment Matching Program for Government Student loans
Comprehensive Retirement Savings Program with employer matched contributions
Annual Wellness allowance to support employees with improving health and wellbeing
Personal reflection day
Tuition Reimbursement
Working within the community and giving back!
Responsibilities
Accountabilities:
...
The successful candidate will gain exposure to all aspects of insurance operations with respect to claims, underwriting and pricing, as well as general areas of business operations such as human resources and marketing, working on high impact actionable projects. You will learn the business knowledge of the prospective stakeholder through their information datasets. Combining quantitative data with business domain knowledge, you will transform them into predictive models that provide insights that ultimately produce new and creative analytic solutions as part of our core deliverables. This role will work hand in hand with data scientists, business stakeholders in developing models and identifying strategies to improve the company’s bottom line.
Qualifications
Qualifications:
Minimum of 2 - 3 years of Machine Learning and analytics experience within a professional services firm or similar industrial environment.
Bachelor's degree or higher from an accredited college in a Mathematics, Statistics, Actuarial Sciences, Computer Science, Physics, Engineering, or a related field.
Strong programming skills, ability to write production level code in Python.
Working experience in Machine learning algorithms, model implementation and optimization to solve Regression, Classification and Segmentation problems.
Experience with ML frameworks/libraries e.g. Scikit-learn, Pandas, Matplotlib, Seaborn, Tensor flow or Pytorch.
Business and analytics acumen to run and interpret the results of models - turn large amounts of complex, detailed information into clear summaries and business recommendations.
Excellent collaboration skills and the ability to work in a team environment and across multiple sites and business units.
Excellent communication and interpersonal skills - be able to effectively communicate complex results to a business audience not familiar with complex data and analytics.
Summary
If you have the right profile please email your word resume to joyce.ho@randstad.ca, or Madhu.lakkundi@randstad.ca
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
show more
