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  • Posted: Sep 22, 2022
    Deadline: Not specified
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  • Tezza Business Solutions Ltd is a "niche” service provider of Software Development, Quality Assurance and Software Testing services. Tezza began its operations as Web Development company in 2000 in Overland Park, Kansas. Since then, we’ve evolved into a Services-oriented company who only engage in Product development as a value-add service to our...
    Read more about this company

     

    Internship Opportunity for Software Developers

     Looking for an intern  that  will be part of an agile development team, building and working on software systems in the company's preferred programming language. The intern will be exposed to producing detailed specification, fixing bug reports, and writing the program code.

    Duties and Responsibilities

    • Reviewing current systems
    • Presenting ideas for system improvement
    • Working closely with analyst, designers and staff.
    • Producing detailed specifications, fixing bug reports, and writing the program code.
    • Testing the product in controlled, real situations before going live Preparation of training manuals for users
    • Maintaining the system once they are up and running

    Desired Skills & Experience

    • Bachelor degree in Computer Science or a related discipline

    Core Competency Requirements

    • Ability to use one or more development languages (PHP w/MySQL preferred)
    • Eye for detail and identifying problems
    • Analytical and commercial experience
    • Experience designing and developing enterprise grade software.
    • Excellent communication Skill
    • Understanding of object-oriented and service-oriented application development techniques and theories.
    • Strong initiative to find ways to improve solutions, systems, and processes.

    Preferred Competency Requirements

    • Experience in Java(most preferred)
    • Any other programming language also accepted

    go to method of application »

    Senior Data Scientist

    Job Purpose

    The candidate will apply data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyse phenomena. Model complex business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation techniques, working closely with clients, data and technology teams to turn data into critical information used to make sound business decisions. Execute intelligent automation and predictive modelling.

    Responsibilities:

    • Develop advanced ML (such as fraud etc) Credit scoring models for different business scorecards using ensemble algorithms in python.
    • Conduct EDA, data extraction, data cleaning and documentation of created models
    • Engage central team ensuring laid down best practices are followed
    • Develop models which do not deviate too much from developed algorithms for Kenya
    • Engage business stakeholders to glean from domain knowledge in creating fit for purpose algorithms
    • Ensure codes are refactored for data engineering pipeline
    • Engage assigned data engineers to promote developed models to production
    • Engage scrum masters and project managers in a timely manner on a periodic basis to provide project updates
    • Delivering projects within the allocated timeline
    • Multitask by building more than one algorithm at each time

    Qualifications

    • Bachelors Degree in Information Technology/ Information Studies and/or any other relevant course
    • Proven development experience in software and software engineering.
    • Understanding of financial services data processes, systems, and products.
    • Experience in technical business intelligence.
    • Knowledge of IT infrastructure and data principles.
    • Project management experience.
    • Exposure to governance and regulatory matters as it relates to data.
    • Experience in building models (credit scoring, propensity models, churn, etc.).
    • Candidate should have 5 – 8 years of experience:
      • Working with unstructured data (e.g. Streams, images)
      • Understanding of data flows, data architecture, ETL and processing of structured and unstructured data.
      • Using data mining to discover new patterns from large datasets.
      • Implement standard and proprietary algorithms for handling and processing data.
      • Experience with common data science toolkits, such as SAS, R, SPSS, etc.
      • Experience with data visualisation tools, such as Power BI, Tableau, etc.
      • Proficiency in application and web development. Structured and Unstructured Query languages e.g. SQL, Qlikview; SSIS SSRS, Python, JSON , C#, Java, C++, HTML

    Method of Application

    Use the link(s) below to apply on company website.

     

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