Data Scientist

3 weeks ago

Johannesburg, South Africa Nedbank Full time

**Requisition Details & Talent Acquisition Contact**
- REQ 126399 - Mandisa Martins- Cluster- Group Information Technology- Career Stream- Enterprise Data Services- Leadership Pipeline- Manage Self Expert**Job Purpose**Responsibilities**:

- 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 end-to-end 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 on-time 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 buy-in 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.
- 5-7 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, fast-paced start-up 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- Decision Making
- Innovation
- Technical/Professional Knowledge and Skills
- Customer Focus
- Applied Learning
- Continuous Improvement
- **_Please contact the Nedbank Recruiting Team at +27 860 555 566_

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