Data Scientist

Location: Johannesburg, Gauteng

*** Mention DataYoshi when applying ***

Job ID
Closing Date
20 September 2021
Career Stream
Application Development
Job Purpose
To design, prototype, and build next-generation analytic engines and services by applying strong expertise in maching learning , data mining and information retrieval
Job Responsibilities
  • Develop best-in-class statistical models and algorithms
  • 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 ito data information received
  • Apply advanced analytical techniques such as machine learning and artificial intelligence in order to derive business value.
  • Conduct data discovery for inclusion in models.
  • Collaborate with key stakeholders to obtain business acumen and intellectual property
  • Keep abreast with latest tools and techniques
  • 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,
  • Provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders.
  • Work with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.).
  • Ensure understaning of pros and cons of different analytics approaches for problem type.
  • Implements more advanced algorithms, e.g., complex descriptive.
  • Ensure Quality controls of own work and those of junior scientists.
  • Understand current state of analytics more broadly and apply techniques from across industries.
  • 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
  • Ensure personal growth and enable effectiveness in performance of roles and responsibilities
  • Contribute to the Nedbank Culture building initiatives (e.g. staff surveys etc.).
  • Participate and support corporate responsibility initiatives for the achievement of business strategy
  • 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
  • BSC Computer Science, BSc Engineering, Econometrics, Mathematical Statistics , Actuary Science or any Stem Qualification.
Preferred Certifications
  • Machine Learning and Data engineer related
Type of Exposure
  • ML Engineering
  • Data warehousing
  • Advance analytics
  • Marketing analytics
  • Financial analytics
  • Presentations skills
  • Predictive analytics
  • Data mining
  • Strategy formulations
Minimum Experience Level
  • 5-7 years' experience in a statistical and/or data science role
Technical / Professional Knowledge
  • 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 working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.)
  • Experience in end to end Use case delivery
  • Ability to translate data narrative to business narrative
  • 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
  • ML Ops (Cloud Devops) is an added advantage.
  • ML Ops (ML engineering – running a Data Science platform) is an added advantage.
Behavioural Competencies
  • Strong problem solving skills
  • Good communication skills
  • Ability to work in teams
  • Decision Making
  • Innovation
  • Continuous Improvement
Please contact the Nedbank Recruiting Team at +27 860 555 566

*** Mention DataYoshi when applying ***

Offers you may like...

  • Lumen

    Lead Data Scientist- Lumen MTS
  • Cigna

    Data Scientist - Express Scripts
    Hartford, CT 06152
  • Discount Tire Corporate Careers

    Principal AI Data Scientist - REMOTE
    Scottsdale, AZ
  • DevTech Systems, Inc.

    Data Scientist, Development Data Commons
  • Rackner

    Senior Data Scientist