Fresh Jobs at Accenture-(3 Positions)

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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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

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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.