Senior Data Scientist - Banking Analytics

Placements24; Kimberley; Hybrid; CAD 100,000 - 150,000; Full time

Benefits offered by this job

Hybrid work arrangement

Competitive compensation

Professional development

Access to advanced analytics tools

Job summary

Placements24 is seeking a Senior Data Scientist to join the Kimberley analytics team. You will build predictive models, analyze large datasets, and translate insights into business actions within the banking sector.

The role focuses on customer behavior, risk, fraud detection, and operational efficiency, requiring strong ML skills and the ability to present clear recommendations. Hybrid work options available in Kimberley.

Qualifications

• Master's or PhD in Data Science, Statistics, Computer Science, or related quantitative field.
• 5+ years of experience as a Data Scientist in banking/financial services.
• Expertise in programming languages such as Python or R and associated data science libraries.
• Proficiency with SQL and experience working with large datasets and databases.
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Excellent communication and presentation skills for effectively conveying complex results.

Responsibilities

• Develop and implement machine learning models for predictive analytics, classification, and clustering.
• Analyze large, complex datasets to uncover trends, patterns, and opportunities for business improvement.
• Design and execute A/B tests and experiments to validate hypotheses and measure impact.
• Collaborate with business stakeholders to define analytical requirements and translate business problems into data science solutions.
• Communicate findings and recommendations clearly through visualizations and presentations.
• Mentor junior data scientists and contribute to the team's technical knowledge base.

Skills

Python

R

SQL

Statistical modeling

Machine learning

Communication skills

Data visualization

Education

Master's or PhD in Data Science/Statistics/CS

Tools

Pandas

scikit-learn

SQL databases

Job description

About the Role

Our client is seeking a talented and experienced Senior Data Scientist to join their advanced analytics team in Kimberley . This role is focused on leveraging large datasets to extract actionable insights, build predictive models, and drive data-informed decision-making within the banking sector. You will work on challenging projects related to customer behavior, risk assessment, fraud detection, and operational efficiency. The ideal candidate is passionate about data, possesses strong statistical and machine learning expertise, and can translate complex findings into clear business recommendations.

Key Responsibilities

• Develop and implement machine learning models for predictive analytics, classification, and clustering.


• Analyze large, complex datasets to uncover trends, patterns, and opportunities for business improvement.


• Design and execute A/B tests and experiments to validate hypotheses and measure impact.


• Collaborate with business stakeholders to define analytical requirements and translate business problems into data science solutions.


• Communicate findings and recommendations clearly through visualizations and presentations.


• Mentor junior data scientists and contribute to the team's technical knowledge base.

Requirements

• Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field.


• 5+ years of experience as a Data Scientist, with a strong focus on banking or financial services.


• Expertise in programming languages such as Python or R and associated data science libraries.


• Proficiency with SQL and experience working with large datasets and databases.


• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.


• Excellent communication and presentation skills for effectively conveying complex results.

Benefits

• Competitive salary and significant performance bonus.


• Comprehensive medical and retirement benefits.


• Access to cutting-edge tools and technologies for data analysis.


• Opportunities for professional development and attending data science conferences.


• Hybrid work arrangement offering flexibility in Kimberley .