Data Scientist

Placements24; Kimberley; Hybrid; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Stock options

Health, dental, vision insurance

Hybrid work arrangement

Professional development budget

Job summary

Placements24 is seeking a Data Scientist for a hybrid role in Canada. The candidate will work with large datasets, develop predictive models for fraud detection, customer segmentation, and risk assessment, and collaborate with product teams to deploy solutions.

Responsibilities include designing experiments, visualizing results, and communicating insights to stakeholders. A strong background in statistics and machine learning, plus proficiency in Python/R, is required.

Qualifications

• Master's or PhD in CS, statistics, or data science.
• 3–5 years of data science experience in finance/FinTech ideal.
• Strong Python or R with ML libraries.
• Experience with SQL and big data tools like Spark.

Responsibilities

• Collect, clean, and process large datasets.
• Develop and deploy ML models for fraud, risk, and analytics.
• Design experiments and A/B tests to measure impact.
• Communicate insights to technical and non-technical stakeholders.
• Collaborate with engineering to productionize solutions.
• Mentor junior analysts and foster a data-driven culture.

Skills

Python

R

SQL

ML

Data Viz

Cloud

Communication

Education

Master's or PhD in CS/Stats/DS

Tools

Spark

Hadoop

scikit-learn

TensorFlow

PyTorch

Job description

About the Role

Our client, a forward-thinking financial technology firm in Kimberley, Northern Cape, is seeking a talented Data Scientist to join their innovative team. This role is pivotal in leveraging vast datasets to uncover insights, build predictive models, and drive strategic decisions within the Banking & Finance technology domain. You will work with cutting-edge tools and methodologies to solve complex business problems. The position supports a hybrid work model, allowing for a blend of remote data analysis and in-office collaboration and strategic planning sessions in Kimberley. This is a unique opportunity to shape the future of finance through data.

Key Responsibilities

• Collect, clean, and process large, complex datasets from various sources.
• Develop, test, and deploy machine learning models for applications such as fraud detection, customer segmentation, risk assessment, and predictive analytics.
• Design and conduct A/B tests and other experiments to evaluate model performance and business impact.
• Visualize data and communicate complex findings and insights clearly to technical and non-technical stakeholders.
• Collaborate with engineering and product teams to integrate data science solutions into production systems.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Contribute to the development of data strategies and best practices within the organization.
• Identify new opportunities to apply data science techniques to solve business challenges in the Banking & Finance sector.
• Ensure data privacy and security protocols are strictly followed in all analyses and model development.
• Mentor junior data analysts and contribute to a data-driven culture in Kimberley.

Requirements

• Master's or PhD in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Proven experience (3-5 years) as a Data Scientist or in a similar analytical role, ideally within Banking & Finance or FinTech.
• Strong proficiency in programming languages such as Python or R, and associated data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with SQL and big data technologies (e.g., Spark, Hadoop).
• Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Excellent data visualization skills (e.g., Matplotlib, Seaborn, Tableau).
• Strong problem-solving abilities and analytical mindset.
• Effective communication and presentation skills, able to explain technical concepts to a diverse audience.
• Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.
• Ability to work both independently and collaboratively in a fast-paced, team-oriented environment in Kimberley.

Benefits

• Highly competitive salary and potential for stock options.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holidays.
• Professional development budget for conferences and training.
• Flexible hybrid work arrangement.
• Opportunity to work on challenging and impactful projects in Kimberley.
• Cutting-edge technology and tools at your disposal.