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  • Posted: Mar 17, 2022
    Deadline: Not specified
  • Accenture solves our clients' toughest challenges by providing unmatched services in strategy, consulting, digital, technology and operations. We partner with more than three-quarters of the Fortune Global 500, driving innovation to improve the way the world works and lives. With expertise across more than 40 industries and all business functions, we deliver...
    Read more about this company


    Data Science Senior Analyst

    What you’ll be doing:

    • Data analysis using either an exploratory or hypothesis driven approaches
    • Predictive modelling using machine learning techniques such as generalised linear models and Bayesian inference, and Deep Learning
    • Work side-by-side with clients to provide bespoke data science consultations
    • Contribute to the development, and ongoing improvement of our in house platforms
    • Provide data science expertise and support as required to the wider organisation

    What we’re looking for:

    • Strong related academic background i.e. Masters level degree in numerate subject, preferably data science
    • Theoretical knowledge of classical statistical methods, bayesian learning, and neural networks, and its application to machine learning techniques
    • Strong Python/R experience
    • Demonstrable experience with RStudio or Jupyter notebooks
    • Keen to utilise up-to-date software development practices
    • Good communications skills, verbal and written
    • Self-starter, happy to work alone or as part of a team
    • Willing to occasionally work off-site at supplier or customer sites

    It would be a bonus if you had:

    • Experience with Tensor Flow
    • Experience of Hadoop
    • Experience with high level software language such as Scala, Java or C#
    • Experience of working in an Agile development environment
    • Experience of utilising a continuous integration approach to software development
    • Experience of software containers e.g. Docker
    • Comfortable working with different data science tools

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    Business & Integration Arch Manager

    Obligatory Skills and Experience:

    • Scrum or Product Owner certification
    • Agile / Lean
    • Experiences of challenging agile delivery projects
    • Strong client relationship management skills
    • The ability to interact professionally with a diverse group, including executives, managers, and subject matter experts
    • Varied experience delivering complex IT projects
    • Strong problem-solving skills
    • Solid analytical and technical skills
    • Strong written and oral communicator
    • Strong team player and collaborator
    • Experience of consulting or professional service projects/delivery

    Desirable Skills and Experience:

    • Strong leadership skills
    • People development skills
    • Retail-specific agile project delivery

    go to method of application »

    REPL Group - Data Engineer

    Job Description
    We’re looking for a Data Engineer to work side-by-side with our data science team to help implement in-house developed algorithms and provide software engineering expertise and support as required to the wider organisation.

    Your new role:

    • Provide technical input to system and software architecture design activities.
    • Work closely with the data science team to develop a robust interface framework for the algorithms.
    • Produce technical documentation covering software requirements, design specifications and test specifications.
    • Develop high quality maintainable software features in accordance with the software process.
    • Develop and implement sustainable developer test strategies to verify and validate software features.
    • Investigate and fix issues in new and existing software/features.
    • Produce prototype software features to demonstrate concepts and ideas.
    • Support software platform deployments.
    • Produce/update software process documentation.
    • Investigate and deploy new software development tools to support software development.

    What we’re looking for:

    • Strong academic background i.e. bachelor’s level in degree in Computer Science, Software Engineering or similar.
    • System level thinker who can quickly understand and solve complex technical problems.
    • Demonstrable commercial big data engineering experience.
    • Experience of applying object-oriented design principles.
    • Strong Scala and Python experience.
    • Strong experience with Spark.
    • Strong experience with Cassandra.
    • Keen to utilise up-to-date software development practices.
    • Good communications skills, verbal and written.
    • Self-starter, happy to work alone or as part of a team.
    • It would be great if you had/ a desire to learn about:
    • Experience with R scripting language.
    • Experience of working in an Agile development environment.
    • Experience of test driven development.
    • Experience of developing and applying automated tests.
    • Experience of utilising a continuous integration approach to software development.
    • Experience of software containers e.g. Docker.
    • Experience of working with mobile application developers and integrating mobile applications with web services.
    • Experience of applying UML to describe software designs.
    • Experience of integrating software and hardware.
    • Comfortable working with different software processes.

    Method of Application

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