SG Digital leads the industry in providing online gaming, sports, and iLottery technology solutions, which enable the world’s largest gambling companies to provide games to their players.
The role will focus on the online Casino business, which offers a platform of 2.5K+ Table and Slot machines to 180 Operators Globally.
26BN transactions are captured and stored centrally per year providing a broad yet granular view of how players interact with different games, across the world.
This uniquely powerful data asset has huge potential to create significant value and is seen by the board as a key strategic growth driver.
We just need the right people to unlock the value.
SG Digital is a combination of several, young, former start-up business and entrepreneurialism continues to be at the heart of the business.
Employees are given ownership of their own areas of responsibility and encouraged to think big, challenge the norm and drive continuous positive change.
The culture is perfect for candidates wanting independence and the ability to make an impact.
Overview of the Role
This newly created role will be in a team of 3 Data Scientists and Machine Learning Engineers focusing on developing capability to improve the development of new online casino games.
With rich transactional and in-play data available across SG Digital and 3rd Party games, the team will uncover drivers of player behaviour today and work closely with the Director of 1st Party Content to identify ways to grow player share and engagement, driving improvements to Game roadmap decisions going forward.
We are highly ambitious and aim to develop industry-leading capability that provides competitive advantage and furthers our reputation for successful Game innovation.
Key responsibilities include :
Identify, research, prototype, and build predictive models to create highly innovative customer experiences working with time-series related data
Analyse large amounts of data to discover patterns, find opportunities, and develop highly innovative, scalable algorithms to seize these opportunities
Participate in developing state-of-art machine learning solutions to address large scale casino game models
Establish processes that allow for cleaner integration and effective use of data within the business, ensuring final models are productionised in the data warehouse / core systems
Write tests to ensure the robustness and reliability of such models
Design and build pipelines that collect, pre-process, and deliver data with a measurable quality
Maintain understanding of emerging data architecture concepts and methods and associated technology trends
Work closely with software engineers to build incredible systems
The hire is part of a wider data transformation, where we are attracting top talent from across the industry to help realise the potential value our data offers.
Within this structure, this role focuses on Machine Learning and Data engineering, with a separate data team responsible for the design and maintenance of the BI data warehouse.
Demonstrated experience of Python and specifically NumPy, SciPy, Pandas, SciKit-learn
Applied knowledge of deep learning packages, such as PyTorch, Tensorflow, Keras
Expertise in recommendation systems, classification models, time-series, feature selection, class imbalance, and model calibration
Familiarity with reporting and visualization platforms and packages, such as Power Bi, Tableau, Matplotlib
Experience with managing data, relational, dimensional, and tabular data modelling principles, SQL
Familiarity with Big Data technologies (Hadoop, Spark, AWS Data Pipeline Service, Azure Data Factory, Databricks, Elastic Search, Kafka)
Effective Business Problem Definition / Structuring skills
Good communicator, able to explain complex approaches in easy to understand ways
Proactive, self-starter / motivator requiring minimal supervision, happy to work independently in a matrix organisation
Research-based approach happy to take on unfamiliar problems and spend time looking into published works on solutions
Creative, capable of thinking around problems and defining innovative solutions
Takes ownership of deliveries, setting realistic timelines and keeping promises
Open communicator flags issues / concerns, as they arise and keeps stakeholders informed, with good news and bad
Confident engaging at different levels of management and with people at different levels of technical understanding
Combines high-personal standards with pragmatism to get the job done
Results-driven, focused on making an impact and seeing solutions being actioned and delivering value
Self-learner who looks to acquire new industry knowledge and skills and techniques as required
4+ Years Machine Learning Experience
Working with big data, ideally customer / player-based
Developing predictive model solutions from scratch
Strong statistical knowledge, intuition, and experience modelling real data
Creating, testing and iteratively improving new models
Developing data pipeline architectures
Working with data / IT teams to enable models to be systemised and driving decisions in real, or near-time
Computer Science or STEM background
MSc in related field or documented experience in similar positions
PhD advantageous but not essential