Senior Data Scientist (Banking)

Placements24; Klerksdorp; Híbrido; ZAR 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Professional growth opportunities

Bonuses

Retirement benefits

Home office stipend

Descripción de la vacante

Placements24 is seeking a Senior Data Scientist for a fully remote role in financial services. The ideal candidate will lead advanced analytical efforts, build predictive models and translate findings into business actions.

You will collaborate with stakeholders, design robust data pipelines and mentor teammates. Requirements include a Master's/PhD in a quantitative field, 5–7 years in data science within banking, strong Python or R skills, and experience with ML libraries and cloud tech.

Formación

• Master's or PhD in Computer Science, Statistics, Mathematics or related field.
• 5–7 years of Data Scientist experience in financial services/banking.
• Strong Python or R skills with common libraries.

Responsabilidades

• Design, develop and deploy ML models for predictive analytics, segmentation, fraud detection and risk assessment.
• Analyze large datasets to identify trends and actionable insights.
• Collaborate with stakeholders to translate needs into data science problems.
• Develop data pipelines and ETL processes for model training and deployment.
• Evaluate new data science technologies and methodologies.
• Communicate findings clearly to technical and non-technical audiences.
• Mentor junior data scientists and share knowledge.
• Ensure ethical and responsible use of data and models.
• Stay updated with advances in data science, ML, and AI.
• Contribute to strategic direction of data science function.

Conocimientos

Statistical modeling

Machine learning

Python

R

SQL

Data visualization

Educación

Master's or PhD in a quantitative field

Herramientas

scikit-learn

TensorFlow

PyTorch

Pandas

Spark

Hadoop

AWS

Descripción del empleo

Our client, a forward-thinking financial services company, is looking for a talented Senior Data Scientist to join their innovative team. This role is fully remote, allowing you to leverage your data science expertise from anywhere. You will be at the forefront of developing advanced analytical models to drive business insights, optimize customer experiences, and mitigate risks within the banking sector. This position requires a strong foundation in statistical modeling, machine learning, and data manipulation, coupled with the ability to translate complex findings into actionable business strategies. We are seeking a creative problem-solver who thrives in a collaborative, data-driven environment. This is an excellent opportunity for a seasoned data professional to make a significant impact and shape the future of data analytics in finance. The role emphasizes pushing the boundaries of data science to solve complex financial challenges.

Key Responsibilities

• Design, develop, and deploy machine learning models for predictive analytics, customer segmentation, fraud detection, and risk assessment.
• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Collaborate with business stakeholders to understand their needs and translate them into data science problems.
• Develop and maintain data pipelines and ETL processes for model training and deployment.
• Evaluate and implement new data science technologies and methodologies.
• Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences through visualizations and presentations.
• Mentor junior data scientists and contribute to the team's knowledge sharing.
• Ensure the ethical and responsible use of data and models.
• Stay up-to-date with the latest advancements in data science, machine learning, and AI.
• Contribute to the strategic direction of the data science function.

Requirements

• Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Minimum of 5-7 years of experience as a Data Scientist, with a focus on the financial services or banking industry.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
• Strong experience with SQL and working with large datasets from various sources.
• Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data science services.
• Excellent problem-solving skills and a strong analytical mindset.
• Effective communication and presentation skills.
• Proven ability to work independently and collaboratively in a remote setting.

Benefits

• Competitive annual salary of R .
• Fully remote work arrangement offering maximum flexibility.
• Opportunities for professional growth and advanced training in AI and machine learning.
• Access to cutting-edge technology and research resources.
• Performance-based bonuses and recognition.
• Generous leave allowance and comprehensive benefits package.
• Contribution to a retirement fund.
• A collaborative and innovative team culture focused on data-driven decision-making.
• Support for home office setup.
• Exposure to challenging and impactful projects in the financial sector.