Data Scientist

Short Description

Working collaboratively with product owners across the organisation to deliver the insights to market facing products and segments of our customer base.

Job Description

Skills, Know-how And Experience
Must have: (5 or 6 Max)

  • Proficiency in English language, verbal and written
  • Significant experience of applying big data, machine learning, and AI technologies to solve data oriented problems
  • Analytics, modelling or software development experience including coding/software development skills
  • Experience of R, Python or Java including the key numerical, analytical and machine learning libraries
  • A self-starter who loves to explore, define and deliver

Preferred: (2 or 3 Max)
  • Apache Spark, Hadoop and other available ML services like AWS, Azure, Google big data solutions
  • Good working knowledge of SQL, data warehousing & NoSQL databases

Technical / Professional Qualifications
  • A Masters level degree in a quantitative discipline such as mathematics, Finance, physics, computer science, data science or engineering.
  • Key accountabilities and decision ownership: (8 or 10 max)
  • Drive the exploration & definition of what a financial metrics focusses peer bench mark solution should contain and deliver on the analytics to actually deliver these.
  • Determine & define and most relevant metrics relating to the financial health of our customers
  • Use available customer data to analyse the importance of metrics and how they relate. Based on this create working calculations, segmentations and insights.
  • Work in close co-operation with the Compass product engineering teams to productize the analytics into dashboards and insights.
  • Support the development of associated roadmaps and product business cases when relevant with clearly defined outcome/expected results
  • Working collaboratively with product owners across the organisation to deliver the insights to market facing products and segments of our customer base.

Skills, Know-how And Experience
  • Must have: (5 or 6 Max)
  • Analytics, modelling or diligence experience gained in consulting or finance related sector, preferably in the SMB space
  • Significant experience of applying big data, machine learning, and broad analytics technologies to solve business focussed problems
  • Strong demonstrated capability to translate data into relevant business insights
  • Expert knowledge of a scientific computing language such as R or Python including the key numerical, analytical and machine learning libraries
  • A curious mind & intrinsic motivation to explore, define and deliver
  • Proactive in attending ML/AI meet ups.
  • Preferred: (2 or 3 Max)
  • Background with accounting & benchmarking
  • Apache Spark, Hadoop and other available ML services like AWS, Azure, Google big data solutions
  • Good Knowledge of Excel & Powerpoint
  • Good working knowledge of SQL, data warehousing & NoSQL databases

Technical / Professional Qualifications
A Masters level degree in a quantitative discipline such as economics, mathematics, science logistics, computer science, data science or engineering.

Data Scientist
Entry level Computer Full-time Engineering | Information Technology Data Scientist
At Sage, we energise the success of businesses and communities around the world through the imagination of our people and smart technology. Sage provides small and medium sized organisations with a range of easy-to-use, online and cloud business management software and services - from accounting and payroll, to enterprise resource planning, customer relationship management and payments. Our customers receive continuous advice and support through our global network of local experts to help them solve their business problems, giving them the confidence to achieve their business ambitions.