This is a client facing role, focused on helping clients solve operational problems through the use of data and analytics.
The role will be responsible for building analytical models to help solve the client challenges. The ability to deal with ambiguity is a critical part of the daily tasks, alongside helping the client and internal team focus on specific problem statements and use cases.
Within the wider team, the role is expected to offer some leadership on technical choices and application of machine learning and AI.
Whilst the role is specified as a Data Scientist, it is expected that individuals are capable (and happy) to apply themselves to a range of tasks.
Key Responsibilities:
·Building analytical models and ability to assess ML/AI features to generate the best outcome for the client
·Develop outputs (graphs, visuals, reports) into useable business applications
·Develop software tools/applications
·Translate complex analytical outputs into business outcomes that can be used to drive insight and decision making
·Providing ‘technical’ leadership both internally and externally
·Can create and support the necessary documentation for both software application development or project reports
·Where necessary, is able to utilise commercial off the shelf (COTS) products, e.g. PowerBI, Qlik, Tableau, etc.
·Ability to work with data tools such as Python, Scala, Spark, and larger “Big Data” software products such as Terradata, Oracle, etc.
·Provide support and mentoring to junior team members where required
·National/International travel may be required
·May perform other duties as assigned
Key Skills:
·Proficient in software development; specifically with languages such as .Net, .NetCore, Java
·Proficient in data science tools such as Python, R, etc
·Able to work with big data platforms such as Spark, Cassandra, Hadoop, etc
·Experience of visualisation tools, such as C#, JavaScript, D3
·Degree or higher in from an accredited institution
·Minimum of 3 years of experience in a client facing role
·Minimum 5 years of experience in a data science / data analytics role