Data Scientist Specialist (139015)

Nedbank Private Wealth; Johannesburg; On-site; ZAR 800,000 - 1,200,000; Full time

Job summary

A financial services provider in Johannesburg is seeking an experienced Machine Learning Engineer to develop and implement advanced analytic engines. The role involves statistical analysis, model deployment, and collaboration with cross-functional teams. The ideal candidate holds a Master's or Ph.D. in Data Science, with extensive programming skills in Python and R. This position offers opportunities for professional growth in a dynamic environment.

Qualifications

• Advanced Machine Learning and AI Expertise.
• Strong Programming Skills in Python and R.
• Experience with Big Data Technologies like Spark.

Responsibilities

• Develop and optimize complex machine learning models.
• Conduct advanced statistical analysis on complex datasets.
• Lead the deployment of machine learning models to production.

Skills

Machine Learning Expertise

Programming Skills in Python and R

Experience with Big Data Technologies

Model Deployment Skills

MLOps Knowledge

Education

Masters or Ph.D. in Data Science

Advanced Diplomas / National 1st Degrees

Tools

Python

R

SQL

Apache Spark

Docker

Kubernetes

Job description

Requisition Details & Talent Acquisition Consultant

REQ 139015 Keabetswe Modise

Closing Date : 09 May 2025

Job Family

Information Technology

Career Stream

Application Development

Leadership Pipeline

Manage Self Professional

Job Purpose

Apply deep domainspecific expertise in machine learning data mining and information retrieval to architect and build highly specialized and advanced analytic engines and services pushing the boundaries of knowledge in the field and providing expert guidance to the enterprise.

Job Responsibilities

• Specialised in the development of bestinclass statistical models and algorithms leveraging years of experience and expertise.
• Conduct advanced statistical analysis to uncover deep insights and patterns in complex datasets.
• Provide actionable insights and strategic advice to stakeholders drawing from an extensive background in the field of AI / ML.
• Create significant value by harnessing the potential of enterprisewide data and translating it into valuable business solutions.
• Apply comprehensive financial services domain knowledge to analyse datasets and develop statistical models and algorithms that cater to specific financial services use cases.
• Spearheaded the integration of AI / ML solutions into existing banking systems optimizing processes and driving operational efficiency while adhering to industry standards.
• Experienced in deploying or contributed to deployment of multiple end to end data science solutions that has yielded significant value in the organisation at an enterprise level.
• Implement cuttingedge AI and ML solutions establishing robust system operations and maintenance structures under the purview of senior leadership.
• Play a key role in shaping the organizations AI / ML strategy aligning it with current and future needs.
• Lead the transformation of data science prototypes into scalable machine learning solutions ready for production deployment.
• Design dynamic ML models and systems that possess the capability to adapt and retrain as necessary guided by years of handson experience.
• Periodically assess the performance of ML systems ensuring alignment with corporate and IT strategies.
• Demonstrate an endtoend understanding of applications and machine learning algorithms showcasing expertise at every step.
• Pioneering the use of machine learning algorithms and libraries setting the standard for the enterprise.
• Oversee the software engineering and design aspects of projects providing comprehensive endtoend solutions.
• Extensive expertise in programming toolsets (such as Python R etc) for data preprocessing advanced statistical analysis machine learning and developing complex data pipelines is required
• Produce endtoend designs encompassing infrastructure security networks and more collaborating with other engineering leads to ensure a comprehensive data science solution.
• Effectively communicate complex processes to nonprogramming experts utilizing years of experience to simplify understanding.
• Continuously research and implement best practices to enhance existing machine learning solutions utilizing extensive domain knowledge.

Job Responsibilities Continue

Design customized analytics approaches for diverse problem types capitalizing on years of experience to drive innovation.

Utilize a deep understanding of computer science fundamentals including data structures algorithms computability complexity and computer architecture.

Proven track record of successfully applying big data frameworks such as Apache Spark to solve complex business challenges.

Stay at the forefront of the latest tools and techniques keeping knowledge uptodate through continuous learning.

Evaluate variations in data distribution that impact model performance leveraging seasoned judgment.

Apply advanced analytical techniques such as machine learning (ML) and artificial intelligence (AI) to derive substantial business value.

Extensive expertise in cloud computing and a proven track record of successfully deploying largescale data science solutions on cloud platforms demonstrating the ability to architect and optimize cloudbased data pipelines and machine learning models

Collaborate with industry leaders conduct experiments and research best practices to provide thought leadership in the field.

Develop and prioritize ML roadmaps drawing from a wealth of experience to chart the course for success.

Foster personal growth and optimize performance by mentoring and sharing knowledge with team members and stakeholders during formal and informal interactions.

Embrace agile thinking to identify opportunities for improving business processes models and systems leveraging extensive expertise to make informed decisions.

Support the achievement of the business strategy objectives and values playing a pivotal role in driving the organizations success.

Contribute to the establishment of the Nedbank culture and participate in corporate responsibility initiatives to align with business strategy.

People Specification

Advanced Machine Learning and AI Expertise : Demonstrated ability to develop implement and optimize complex machine learning models and AI algorithms.

Strong Programming Skills : Proficiency in multiple programming languages such as Python R and SQL with a deep understanding of data structures and algorithms.

Experience with Big Data Technologies : Handson experience with big data tools Spark or similar.

Experience with Model Deployment : Proven experience in deploying machine learning models into production environments using tools like Docker Kubernetes or cloud services (AWS Azure GCP).

Proficiency in MLOps : Knowledge of MLOps practices to streamline the deployment monitoring and maintenance of machine learning models.

Essential Qualifications NQF Level

Matric / Grade 12 / National Senior Certificate

Advanced Diplomas / National 1st Degrees

Required Qualification / s & Certification / s :

A Masters or Ph.D. in Data Science Computer Science Statistics or a related field.

Certifications in Machine Learning Data Analytics or Big data Technologies are highly desirable.

Minimum Experience Level

MS / PhD in STEM or related technical discipline

At least 10 combined experience in data science or ML engineering role

Expert knowledge of machine learning statistics optimization ML Engineering or related field

Experience with R Python Matlab is required programming in C C Java

Experience working with large data sets simulation / optimization and distributed computing tools (Map / Reduce Hadoop Hive Spark Gurobi Arena etc.)

Excellent written and verbal communication skills along with strong desire to work in cross functional teams

Attitude to thrive in a fun fastpaced startup like environment

Technical / Professional Knowledge

Data Mining

Data Tools

Data analysis

Statistical Analysis

data / data structures

Presentation Skills

Problem solving skills

Research and analytics

Supervised Learning

Big Data Technologies

Strategic Thinking

Unsupervised Learning

Deep Learning

Reinforcement Learning

Feature Engineering / Selection

programming

Model Deployment / Monitoring

Model Scaling

Data Integration / Pipelines

Data Modelling

Data Visualisation

Domain Knowledge

Innovation at Enterprise Level

AI Ethics and Fairness

HyperParameter Tuning

Behavioural Competencies

Influencing

Coaching

Facilitating Change

Global Perspective

Innovation

Quality Orientation

Customer Focus

Please contact the Nedbank Recruiting Team at

Required Experience :

Unclear Seniority

Key Skills

GIS,Computer Data Entry,Facilities Management,ADMA,Fleet,Key Account

Employment Type : Full Time

Experience : years

Vacancy : 1