Data Scientist - Johannesburg, South Africa - Nedbank

Nedbank

Verified Company

Johannesburg, South Africa

2 weeks ago

Posted by:

Thabo Mthembu

beBee Recruiter

Description

Requisition Details & Talent Acquisition Contact

REQ Mandisa Martins
Cluster
Group Information Technology
Career Stream
Enterprise Data Services
Leadership Pipeline
Manage Self Expert
Job PurposeResponsibilities**:
Develop best-in-class statistical models and algorithms
Acquire and load relevant data and generate features from this data sets.
Implement and integrate models into production systems.
Study and transform data science prototypes.
Design machine learning systems.
Research and implement appropriate ML algorithms and tools.
Select appropriate datasets and data representation methods.
Run machine learning tests and experiments.
Lead and develop Data Science Use Cases with a small team in an agile.
Conducts advanced statistical analysis
Provide actionable insights, identify trends, and measure performance
Create value out of enterprise wide data
Provide insights to BI and BA to further exploit and present their models
Provide strategic direction into data information received.
Conduct data discovery for inclusion in models.
Collaborate with key stakeholders to obtain business acumen and intellectual property.
Understands business problems and designs endtoend analytics use cases
Collaborates with model developers to implement and deploy scalable solutions
Develop complex models and algorithms that drive innovation throughout the organization.
Ensure improvement of ontime performance and network planning,
Work with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.).
Implements more advanced algorithms, e.g., complex descriptive.
Ensure Quality controls of own work and those of junior scientists.
Map problems and quantify the impact of proposed measures.
Develop and prioritise use case roadmaps.
Support the achievement of the business strategy, objectives and values by reviewing Nedbank and Business Unit Plan and ensuring delivered systems, process, services and solutions are aligned.
Improve personal capability and stay abreast of developments in field of expertise by identifying training courses and career progression for self through input and feedback from managers.
Ensure personal growth and enable effectiveness in performance of roles and responsibilities by ensuring all learning activities are completed, experience practiced, and certifications obtained and/or maintained within specified time frames.
Enable skilling and required corrective action to take place by sharing knowledge and industry trends with team and stakeholders during formal and informal interaction.
Obtain buyin for developing new and/or enhanced processes (e.g., operational processes) that will improve the functioning of stakeholders' businesses by highlighting benefits in support of the implementation of recommendations.
Support the achievement of the business strategy, objectives and values.
Stay abreast of developments in field of expertise.
Seek opportunities to improve business processes, models and systems though agile thinking.

Essential Qualifications

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

Preferred Qualification

Masters Degree Computer Science, Econometrics, Mathematical Statistics, Actuary Science
Preferred Certifications
SAS Data Scientist certification, Microsoft Data Scientist, IBM data engineer
Minimum Experience Level
S/PhD in computer science, statistics, or operations research or related technical discipline.
57 years' experience in a statistical and/or data science role.
Deep knowledge of machine learning, statistics, optimization 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

Analysing situations or data that requires an in depth evaluation of multiple factors
Data Mining
Data Warehousing
Financial modelling and analytics
Research and analytics
Strategy planning and execution

Behavioural Competencies