You will work on developing innovative data-driven solutions to bring customer value and better insights. This would involve undertaking transformative Machine Learning, Data Analytics and Data Mining projects in on-line payments and financial messaging for a leading, global fin-tech.
You will also be called upon to provide mentorship to lesser experienced colleagues.
We are looking for a Senior Data Scientist who is passionate about data and deriving value for our business and our customers using this data.
The analytics team develops and applies advanced machine-learning techniques and algorithms to solve problems for online payments and financial messaging.
This is an exciting time to be joining this team of Data Scientists as it transitions from deployed data-bases to a full-fledged cloud-based working environment.
The essential functions in this role are :
Processing massive amounts of structured and unstructured data using Spark / SQL / Hive
Building advanced supervised and unsupervised machine learning models
Researching new machine learning solutions to complex business problems
Writing production code in Python
Carrying out A / B test experiments
Communicating findings to non-technical audience
Mentoring and supporting junior data scientists and analysts
Understanding the full software development life-cycle (conduct data analysis and build large-scale machine-learning models / pipelines)
Exposure to the state-of-the-art data analytics products and solutions
Ability to prototype statistical analysis algorithms
Experience in coding structures for storing and processing complex, high volume, and multi-dimensional data
Experience in optimising space / time tradeoffs for computationally expensive processes
Exposure to difference Machine Learning techniques
Familiarity with Agile software development process
Education and Experience
A degree in Computer Science, Engineering or equivalent, or any other highly numerate subject
Substantial experience with major programming languages such as in Java, Python, Scala
Experience in Big Data technologies (Hadoop, Spark)
Experience in data pre-processing, Machine Learning, and data visualisation
Experience with large relational and NoSQL databases
Experience in quantitative analysis and translation of findings into actionable insights