Data Scientist - Financial Services

Placements24; Paarl; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Stock options

Home office stipend

Health, dental and vision insurance

Job summary

Placements24 is seeking a talented Data Scientist to join a fully remote team in the financial services sector. You will extract actionable insights from complex datasets, build predictive models, and drive data-driven decisions with a distributed team of experts.

The role offers autonomy and collaboration, with opportunities to work on challenging problems and develop data pipelines and analytics infrastructure.

Qualifications

• Master's or Ph.D. in a quantitative field.
• 4+ years of proven Data Scientist experience with a strong portfolio.
• Proficiency in Python or R and libraries like scikit-learn, TensorFlow or PyTorch.
• Expertise in statistics, ML algorithms and data mining techniques.
• Experience with SQL and cloud environments (AWS/Azure/GCP).

Responsibilities

• Develop and implement ML models for fraud detection, risk assessment and customer segmentation.
• Analyze large datasets to identify patterns and insights aligned to business goals.
• Collaborate with stakeholders to translate business needs into DS solutions.
• Communicate findings clearly to technical and non-technical audiences.
• Contribute to data pipelines and analytics infrastructure.

Skills

Python/R

Machine Learning

SQL

Data mining

Cloud platforms

TensorFlow/PyTorch

Education

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

Tools

scikit-learn

TensorFlow

PyTorch

AWS

Azure

GCP

Job description

About the Role

Our client is looking for a talented and innovative Data Scientist to join their fully remote team, contributing to their advanced analytics capabilities within the financial services sector. You will be instrumental in extracting actionable insights from complex datasets, developing predictive models, and driving data-driven decision-making across the organization. This role offers the exciting opportunity to work on challenging problems with a high degree of autonomy, collaborating with a distributed team of experts who are passionate about leveraging data to transform the industry. This position is ideal for a candidate who thrives in a remote-first environment and is eager to make a tangible impact.

Key Responsibilities

• Develop and implement machine learning models for applications such as fraud detection, risk assessment, and customer segmentation.
• Analyze large, complex datasets to identify patterns, trends, and insights relevant to business objectives.
• Collaborate with stakeholders to understand business needs and translate them into data science solutions.
• Communicate findings and recommendations clearly and effectively to both technical and non-technical audiences.
• Contribute to the development and maintenance of data pipelines and analytics infrastructure.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
• Proven experience (4+ years) as a Data Scientist, with a strong portfolio of successful projects.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Expertise in statistical analysis, machine learning algorithms, and data mining techniques.
• Experience with SQL and working with large datasets, preferably in a cloud environment (AWS, Azure, GCP).

Benefits

• Highly competitive salary with potential for stock options.
• Generous home office stipend and remote work support.
• Comprehensive health, dental, and vision insurance plans.
• Opportunities for continuous learning, attending conferences, and professional development.
• Flexible working hours and a supportive, collaborative remote culture.