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  • Posted: Mar 17, 2022
    Deadline: Not specified
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  • 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...
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    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.

    Qualifications
    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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