Your role in the team
Data has been at the heart of the insurance industry for many years and the amount generated daily is growing exponentially.
A huge opportunity exists to create massive disruption to the insurance model due to technology improvements, which allows us to uncover greater insights.
The Artificial Intelligence Centre of Excellence (AI COE) team will create an intense learning and development environment to develop skills at the cutting edge of technology.
The resources on this team will be responsible for researching, designing, and building systems through implementation of supervised and unsupervised machine-learning techniques.
Technologies and methodologies applied will include machine learning, information retrieval, artificial intelligence, computer vision, natural language processing, and / or ontology engineering technologies.
Incumbents will work both individually and with small teams to envision and realize cutting-edge ideas through rapid prototyping, development and deployment.
Teams will work on business problems and Proof of Concepts to help determine which opportunities to pursue further and share these findings to assist Allstate’s future product development.
As an Applied Machine Learning Engineer, you will be responsible for multiple major technical aspects and setting direction in the AI field.
You will work with both our internal partners, vendors, and academic partners to ensure that Allstate products are utilizing the latest and best Machine Learning (ML) technologies.
You will help develop the next generation of machine learning capabilities and talent within Allstate and play a key role in the vision and realization of cutting-edge technical capabilities into business applications and solutions.
The ideal person will be able to demonstrate the following competencies :
You are a forward-thinker and are comfortable with research and design
You relish creativity and innovation
You demonstrate a high level of technical aptitude and enjoy self-development and continuous learning
You have a willingness to learn deep technical skills and apply them to meet business needs
You are comfortable with being a core contributor on teams responsible for taking ideas from vision, through design, implementation and iterate based on customer feedback loops
You enjoy working both individually and with small teams
You ensure understanding of technical matters by non-technical, executive decision makers
You develop and use subtle strategies to influence or persuade others, particularly in sensitive or high-pressure situations
You extend capabilities by working closely with senior team members / experts both within and outside of internal organization
You have a strong interest in leading edge technology, and in user experience / usability
You will embrace being empowered to build and implement new ML functionalities and realize cutting-edge ideas through rapid prototyping, development and deployment.
You have a willingness to learn deep technical skills and apply them to meet the business needs
Be a self-starter who is able to work unsupervised on a variety of, and sometimes ambiguous, requirement
Have excellent interpersonal and communication skills, verbal & written
Coach team members on best practices and standards.
Lead and participate in knowledge sharing and contribute to the overall growth of the collective knowledge of AI and Machine Learning within Allstate
So, what are the essential criteria to apply?
All candidates must evidence an existing right to work in the UK'
A minimum of 3+ years full time hands-on relevant experience with programming / scripting
2 years’ python experience
Extensive experience using Machine Learning techniques
The successful candidate must also demonstrate a high competency in :
Experience of engaging with business stakeholders to solve real world problems
Interest and Capacity to learn new skills
Ability to work in a fast paced, evolving and challenging environment
Solid mathematics background (linear algebra, statistics, optimization)
We also have some desirable criteria
BSc degree in Computer Science / Mathematics / Physics or equivalent fields Machine Learning or Artificial Intelligence Modules preferred
Completed or working towards a MSc / PhD with subject matter expertise in a relevant area
Familiarity with Cognitive Technology
Tensorflow, PyTorch or Similar Deep Learning framework
Experince using structured and unstructured data using Hadoop / RDMS / SQL (needs reworded)
Full time hands-on machine learning or artificial intelligence software engineering experience e.g. NLP, Computer Vision, audio processing
Experience of developing ML products from POC to development to deployment (reword)
Experience in agile development
Knowledge of cloud platforms (for example, AWS, Azure)
Include things like GitHub, Jenkins
Experience with collaboration tools for coding such as git and github
Experience with cloud deployments of applications (preferably ML applications) AWS, Jenkins, Azure, Docker