Data Scientist Specialist

Nedbank; Johannesburg; On-site; ZAR 700,000 - 900,000; Full time

Job summary

A prominent banking institution in Johannesburg is seeking a Data Scientist Specialist to leverage expertise in machine learning and data mining. The role involves developing statistical models, providing strategic insights, and leading AI/ML solutions integration. Ideal candidates should have a Master's or Ph.D. in Data Science or related field, along with strong programming skills and extensive experience in data science applications. This is a full-time position offering opportunities for growth in a dynamic environment.

Qualifications

• Proven experience in deploying machine learning models into production environments.
• Hands-on experience with big data tools such as Spark.
• Strong programming skills with a deep understanding of data structures and algorithms.

Responsibilities

• Develop best-in-class statistical models and algorithms.
• Conduct advanced statistical analysis on complex datasets.
• Provide actionable insights to stakeholders.

Skills

Advanced Machine Learning and AI Expertise

Strong Programming Skills

Experience with Big Data Technologies

Experience with Model Deployment

Proficiency in MLOps

Education

Master's or Ph.D. in Data Science, Computer Science, Statistics, or related field

Matric / Grade 12 / National Senior Certificate

Advanced Diplomas/National 1st Degrees

Tools

Python

R

SQL

Spark

Docker

Kubernetes

Job description

Join to apply for the Data Scientist Specialist role at Nedbank

Job Family

• Information Technology
• Application Development
• Manage Self Professional

Job Purpose

Apply deep domain-specific 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 best-in-class 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 enterprise-wide 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 cutting-edge AI and ML solutions, establishing robust system operations and maintenance structures under the purview of senior leadership.
• Play a key role in shaping the organization's 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 hands-on experience.
• Periodically assess the performance of ML systems, ensuring alignment with corporate and IT strategies.
• Demonstrate an end-to-end 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 end-to-end 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 end-to-end designs encompassing infrastructure, security, networks, and more, collaborating with other engineering leads to ensure a comprehensive data science solution.
• Effectively communicate complex processes to non-programming experts, utilizing years of experience to simplify understanding.
• Continuously research and implement best practices to enhance existing machine learning solutions, utilizing extensive domain knowledge.

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: Hands-on 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 Master's 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, fast-paced start-up like environment

Technical / Professional Knowledge

• Data Mining
• Data Tools
• Data analysis
• Statistical Analysis
• data/ data structures
• Presentation Skills
• Research and analytics
• Supervised Learning
• Strategic Thinking
• Unsupervised Learning
• NLP
• programming
• Domain Knowledge
• Innovation at Enterprise Level
• AI Ethics and Fairness
• HyperParameter Tuning
• Coaching
• Facilitating Change
• Global Perspective
• Quality Orientation
• Customer Focus

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology