Data Scientist Enterprise Fraud

Definity; Calgary; Hybrid; CAD 69,000 - 127,000; Full time

Job summary

Definity is seeking a Data Scientist to join their fraud analytics team in Calgary. This role involves developing high-quality analytical solutions, using advanced statistical modeling and machine learning to prevent fraudulent activities. The ideal candidate will possess a university degree in a relevant field and have strong skills in Python and data science methodologies. The company offers a hybrid work environment and a competitive salary range.

Benefits

Hybrid work schedule

Company share ownership program

Pension and savings programs

Paid volunteer days

Educational resources and tuition assistance

Focus on inclusion with employee support programs

Wellness and recognition programs

Discounts on products and services

Qualifications

• Proven track record of developing integrated analytical solutions.
• Demonstrated competence in Python and SQL.
• Experience guiding and coaching junior staff.

Responsibilities

• Lead development of analytical solutions for fraud detection.
• Employ advanced statistical modeling and machine learning techniques.
• Prepare and present high-quality deliverables to executive audiences.

Skills

Data wrangling

Data visualization

Predictive modelling

Statistics

Machine learning

Big data analytics

Geospatial analytics

Optimization

Project management

Problem-solving

Education

University degree in data science, statistics, computer science, or related discipline

Tools

Python

SQL

Job description

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Definity is the parent company to some of Canada’s most long-standing and innovative insurance brands, including Economical Insurance, Sonnet Insurance, Family Insurance Solutions, and Petline Insurance. Our ambition is to be one of Canada’s leading and most innovative property and casualty insurers. We can’t do that without our people, so we embrace and encourage a culture that’s collaborative, ambitious, rewarding, and empowering.

We offer a flexible, hybrid work experience where employees work from the office and virtually depending on the type of work they are doing and who they are working with. Bring your true self and be a part of our journey. It’s better here.

The Data Scientist leads and supports the development and delivery of high-quality analytical solutions within Enterprise Fraud. The Data Scientist reports to the Director of Enterprise Fraud as a key member of a high-performing fraud analytics team focused on using data-driven decision making to solve business problems.

What can you expect from this role?

• Employ a full suite of technical capabilities to perform advanced statistical modeling, machine learning, and data mining techniques to identify and prevent fraudulent activities.
• Propose innovative approaches to improve fraud detection methodologies and actively contribute to the adoption of cutting-edge techniques within the team.
• Independently prepare and present high-quality deliverables, including data visualizations and model interpretations, to communicate project insights to director/executive-level audiences, influencing strategic decision-making related to fraud mitigation.
• Collaborate in the development of analytical solutions for fraud detection, providing support to team members. This includes mentoring and knowledge sharing.
• Independently prepare and present high-quality deliverables, including data visualizations and model interpretations, to communicate project insights to director/executive-level audiences, influencing strategic decision-making related to fraud mitigation.
• Continuously research and evaluate state-of-the-art analytical techniques and tools relevant to fraud detection, sharing knowledge and best practices with team members.
  
  
  

What you bring to this role?

• University degree in data science, statistics, computer science, operations research, or a related discipline. Preference to individuals with significant technical expertise gained through analytics self-study.
• Competence in most major areas of data science/analytics. These areas include data wrangling, data visualization, predictive modelling, statistics, machine learning, big data analytics, geospatial analytics, and optimization.
• A proven track record of developing integrated, creative analytical solutions in a business context.
• Demonstrated competence in Python, including experience with ensemble methods (e.g., XGBoost, Gradient Boosting) for classification and regression tasks, clustering algorithms (e.g., K-means, DBSCAN), and dimensionality reduction techniques (e.g., PCA, t-SNE). A strong understanding of model evaluation metrics (precision, recall, F1-score, AUC-ROC) is required. Intermediate understanding of SQL techniques and data modeling.
• Good project management, communication, and problem-solving skills.
• Experience guiding and coaching more junior staff members
  
  
  

Salary range is $69,000- $127,000

We also take potential into consideration. If you don’t have this exact experience, but you know you have what it takes, be sure to give us more insight through your application and cover letter.

Go ahead and expect a lot — you deserve it, and we’ve got it:

• Hybrid work schedule for most roles
• Company share ownership program
• Pension and savings programs, with company-matched RRSP contributions
• Paid volunteer days and company matching on charitable donations
• Educational resources, tuition assistance, and paid time off to study for exams
• Focus on inclusion with employee groups, support for gender affirmation surgery, access to BIPOC counsellors, access to programs for working parents
• Wellness and recognition programs
• Discounts on products and services
  
  
  

Our inclusive work environment welcomes diversity and supports accessibility. If you require accommodation at any time during the recruitment process, please let us know by contacting: [email protected]

Background checks

This role requires successful clearance of a background check (including criminal checks and leadership references).

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Insurance

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