A pioneering software company is looking for an experienced Senior Data Science Consultant with the strategic and technical expertise to lead data projects and deliver business insights through advanced modeling.

Responsibilities:

• Lead data science projects and supervise a team of analysts.

• Analyze industry trends and client data to create strategic roadmaps.

• Maintain client relationships and explain technical findings to stakeholders.

• Build predictive models and forecasting algorithms using large datasets.

• Develop KPI frameworks and dashboards to track business initiatives.

• Stay current with emerging technologies and share best practices.

• Collaborate with sales teams to identify new business opportunities and service offerings.

• Oversee data collection and cleaning processes to ensure high-quality inputs for modeling.

• Provide strategic recommendations on cost optimization and risk management using alternative data.

Requirements:

• Degree in a quantitative field like data science, engineering, or mathematics.

• Seven years in senior data science roles with leadership experience.

• Three years of experience in strategic or management consulting.

• Proficiency in Python and SQL for machine learning and data analysis.

• Experience with big data tools like PySpark, Azure Synapse, and Databricks.

• Ability to communicate technical concepts to non-technical audiences.

• Background in financial credit risk or pricing models is preferred.

Benefits

• Salary: negotiable.

Contact RPO Recruitment for your next career opportunity.

• Our client is offering a highly competitive salary for this role based on experience.
• Apply for this role today, contact Jarad Pentz at RPO Recruitment or on LinkedIn.
• You can also visit the RPO Recruitment website: rporecruitment.us or email us your
  CV: tech@rpo-recruit.za.com.

We will contact you telephonically in 3 days should you be suitable for this vacancy. If you are not suitable, we will put your CV on file and contact you regarding any future vacancies that arise.