Real-Time Analytics and Data Science Lead

As a Real-time Data Analytics & Data Science Lead you will be responsible for architecting, implementing and deploying multi-scale data analytics platform solutions as we'll as building and mentoring high-performing analytics engineering teams. You will work with cloud technologies, developing and overseeing analytics systems and processes.

Key Responsibilities

• Lead, facilitate and coordinate execution of the analytics team s technical vision, collaborating with other areas and centralised governance where appropriate
• Define, create and provide oversight and governance of analytics and machine learning solutions with a focus on innovation, resilience, performance, scalability and simplicity
• Develop and champion advanced analytics and machine learning principles and processes at domain and enterprise levels, identifying opportunities for transformational improvement
• Hands-on design and technical implementation of analytics solutions across a number of concurrent technical implementations

Experience

• Significant experience leading analytics application and data science teams supporting multiple analytics components
• Experience in real-time analytics design and implementation
• Experience in business rules engine (BRE) / layer design and implementation
• Deep understanding of both real-time processing and asynchronous analytics systems
• Experience in statistical sequence mining and analysis methods
• Experience in distributed machine-learning systems design and deployment
• Understanding of distributed domain driven architecture and product thinking

Technical Skills

Architecture & Design

• Enterprise Architecture and good knowledge of object-oriented programming and design patterns
• AWS services: API gateway, Lambda, SNS, SQS, DynamoDB, Kinesis, EC2, Athena, Elastic Beanstalk
• REST API Design and specification using Swagger / OpenAPI
• Data mining, sequencing, analytics metrics, segments and aggregates

Programming

• Experience of both functional programming and object orientated programming
• Excellent programming skills in R and Python
• Experience designing and building R / Python based REST APIs, and API specification using Swagger / OpenAP

Behavioural

• Strong team player
• Ability to foster, develop & maintain working relationships with business stakeholders and technology teams
• Self-motivation and management are essential
• Flexibility and an open attitude to change