RemoteAi

Nedbank

2023-12-11
South Africa/ FullTime
$136k - $205k

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Data Scientist

Requisition Details & Talent Acquisition Consultant

130508 - Keabetswe Modise

Job Family

Information Technology

Career Stream

Application Development

Leadership Pipeline

Manage Self Expert

Job Purpose

Lead the design, development, and implementation of cutting-edge analytic engines and services, leveraging extensive experience and expertise in machine learning, data mining, and information retrieval to pioneer innovations.

Job Responsibilities

Spearheaded best-in-class statistical models and algorithms, building upon previous experiences and learnings.
Conduct in-depth statistical analysis to extract valuable insights and patterns from complex datasets, contributing to data-driven decision-making.
Offer actionable insights and advice to stakeholders, utilizing a solid foundation in AI/ML and contributing to the team's expertise.
Contribute to the creation of value from enterprise-wide data, assisting in the translation of data into meaningful business solutions.
Apply specific financial services domain knowledge to analyse datasets and develop statistical models and algorithms that cater to individual financial services use cases.
Design and implement ML models with experienced banking professionals that meet the unique requirements of financial institutions.
Implementation of cutting-edge AI and ML solutions, playing an active role in system operations and maintenance.
Experienced in deploying or contributed to deployment of at least one end to end data science solutions that has yielded significant value in the organisation at an enterprise level.
Contribute to the shaping of the organization's AI/ML strategy, aligning it with evolving business needs.
Assist in transforming data science prototypes into scalable machine learning solutions for deployment.
Collaborate with experienced team members to design dynamic ML models and systems, incorporating the capability for adaptability and retraining.
Participate in periodic evaluations of ML systems, ensuring they align with corporate and IT strategies.
Expert proficiency in programming tools (such as Python, R, etc) for data manipulation, statistical analysis, and machine learning tasks is essential.
Demonstrate a profound command over computer science fundamentals, encompassing expert-level knowledge of data structures, algorithms, computability and complexity, and computer architecture.
Demonstrate a strong understanding of applications and machine learning algorithms, aligned to best practices globally.
Spearheading and guiding the software engineering and design facets of projects, while providing mentorship and fostering collaboration among cross-functional teams.
Utilize machine learning algorithms and libraries effectively, following established best practices and guidelines.
Communicate technical concepts effectively to diverse audiences, adapting explanations for non-programming experts.
Stay informed about the latest tools and techniques, engaging in continuous learning to enhance skills and knowledge.
Able to the evaluate data distribution variations impacting model performance.
Proficiency in cloud computing and hands-on experience with deploying complex data science projects on cloud platforms
Collaborate with the team, sharing ideas and insights while conducting experiments and researching best practices.
Leading role in formulating and refining the Machine Learning (ML) roadmaps or a component thereof, drawing upon extensive experience and visionary insights.
Has a deep understanding of business problems and can design complete analytics solutions end to end
Seek opportunities for personal growth and development, actively participating in knowledge-sharing and mentorship.
Contribute to the achievement of the business strategy, objectives, and values, contributing to the organization's success.
Participate in establishing a positive team culture and contribute to corporate responsibility initiatives.
Contribute to the establishment of the Nedbank culture and participate in corporate responsibility initiatives to align with business strategy.

Job Responsibilities Continue

Lead and develop Data Science Use Cases with a small team in an agile.
Machine learning and Model training/retraining and development.
Exploratory data analysis and visualizations using large data sets.
Acquire and load relevant data and generate features from this data sets.
Implement and integrate models into production systems.

Exposure/Experience

ML Engineering
Data warehousing
Advance analytics
Predictive analytics
Data mining

Essential Qualifications - NQF Level

Matric / Grade 12 / National Senior Certificate
Advanced Diplomas/National 1st Degrees

Preferred Qualification

STEM Qualification
Engineering Qualification,
Computer Science,
Econometrics,
Mathematical Statistics,
Actuary Science
Masters or Doctorate will be an added advantage

Preferred Certifications

Cloud (Azure, AWS), DEVOPS or Data engineering certification. Any Data Science certification will be an added advantage, Coursera, Udemy, SAS Data Scientist certification, Microsoft Data Scientist.

Minimum Experience Level

5 years’ plus experience in a statistical and/or data science role.
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
Deep knowledge of machine learning, statistics, optimization or related field
Experience in Python (Must), R and one additional language (SAS, Java Lua, Clojure, Scala, etc)
Experience in end to end Data Science Use cases

Technical / Professional Knowledge

Data Mining
Research and analytics
Data analysis
Statistical Analysis
data/ data structures
Presentation Skills
Problem solving skills
Supervised Learning
Big Data Technologies
Strategic Thinking
Unsupervised Learning
NLP
Deep Learning
Re-inforcement Learning
Feature Engineering/Selection
HyperParameter Tuning
programming
Model Deployment/Monitoring
Model Scaling
Data Integration/Pipelines
Data Modelling
Data Visualisation
Domain Knowledge
AI Ethics and Fairness

Behavioural Competencies

Decision Making
Innovation
Technical/Professional Knowledge and Skills
Customer Focus
Applied Learning
Continuous Improvement

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Please contact the Nedbank Recruiting Team at +27 860 555 566