Senior Data Scientist (CPT)

Datafin IT Recruitment; Cape Town; On-site; ZAR 600,000 - 900,000; Full time

Job summary

Join a dynamic Financial Services provider in Cape Town as a Senior Data Scientist, overseeing analytical projects in the public and private sectors. You'll implement data pipelines, improve data processes, and collaborate with various stakeholders while managing junior team members. Candidates must have a post-graduate degree related to data science or economics, with substantial experience in data-centric projects and proficiency in SQL alongside R or Python.

Qualifications

• Post-graduate Degree required.
• 8+ years of experience on data-centered projects essential.
• Proficiency in SQL, R, or Python is a must.

Responsibilities

• Implement and manage analytical projects for public and private sectors.
• Develop ETL processes and conduct data analysis.
• Collaborate with external parties on analytical priorities.

Skills

Problem-solving skills

Attention to detail

Data cleaning and transformation

Data sourcing

Collaboration

Education

Post-graduate Degree in Data Science, Economics, Statistics, Operations Research, Engineering, Applied Mathematics or Computer Science

Tools

SQL

R

Python

MS-Office Suite

Job description

JOIN the Cape Town Division of a dynamic Financial Services provider seeking the expertise of a Senior Data Scientist who will be responsible for implementing and managing analytical projects at various public sector or private sector entities. This involves the design and implementation of data pipelines, data quality assessments, processing and analytics, and reporting. You will collaborate with external parties to understand their analytical priorities as

well as provide advice on how to improve existing data processes and you will also be responsible for delegating tasks to juniors and managing a small team. The ideal candidate will possess a creative and enthusiastic attitude to unearthing valuable insights to solve economic problems, have a Post-graduate Degree in either Data Science / Economics or similar with 8+ years of work experience on data-centered projects & proficiency in SQL and R / Python.

DUTIES :

• Work closely with client institutions to develop analytical plans to deliver on project objectives.
• Build the capacity of the Data teams at partner institutions through knowledge sharing on projects and bespoke trainings.
• Manage and implement data projects with other team members.
• Develop ETL processes to enable partners to derive value from their data.
• Conduct descriptive analysis and predictive analytics on Big Data sets.
• Generate policy or business insights from analyses.
• Apply segmentation techniques to large record-level data sets, such as transactional telecommunications data, or demographic data sets.
• Conduct data exploration activities at government entities to gain insight into the data collected and potential analytical applications for the data.
• Assess data quality and provide guidance on methods or techniques to improve data quality.
• Collaborate with external stakeholders on their analytical priorities.
• Provide guidance to government entities on how to optimize existing internal data processes.
• Merge data sets from different entities to enable richer data analysis.
• Develop APIs to streamline data sharing processes.
• Maintain documentation on all work conducted and generally ensure compliance with the relevant data protection legislation.

REQUIREMENTS : Qualifications

• Post-graduate Degree in either Data Science, Economics, Statistics, Operations Research, Engineering, Applied Mathematics or Computer Science.

Experience / Skills

• 8+ Years of work experience on data-centered projects.
• With extracting, cleaning, and transforming data and working with data owners to understand the data.
• Leading and managing analytical projects.
• Managing analytical projects to inform decision-making processes (public sector experience is a bonus).
• Proficiency in SQL.
• Proficiency in R or Python, or any other Scripting / Programming language.
• Proficiency in MS-Office Suite.
• Have experience working with systems or applications that generate data.

ATTRIBUTES :

• Excellent problem-solving skills with a strong attention to detail.
• Can work independently and as part of a team.
• Ability to source and combine data from both structured and unstructured sources.
• Able to formulate a clear problem statement, develop a plan for tackling it and clearly communicating findings verbally and in writing.
• Ability to balance multiple priorities.

While we would really like to respond to every application, should you not be contacted for this position within 10 working days please consider your application unsuccessful.

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