At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Your role in the team
At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.This role is responsible for leading the development of end-to-end data-driven solutions, from data collection and model development to deployment and maintenance of business-facing inference services. The ideal candidate will have experience designing and implementing cloud-based solutions, optimizing data models for cloud performance, and maintaining scalable predictive systems. This role will collaborate across teams to establish best practices and reusable components, ensuring consistent and high-quality execution of analytic products that serve the business. As a technical leader, you will drive the development and deployment of machine learning solutions, with a focus on observability, security, and efficient cloud utilization.Key Responsibilities
- Identifies languages and tools that can bring efficiencies or needed techniques to the team. Identifies new areas of data, research and models and develops data sources that can solve business problems.
- Utilizes effective project planning techniques to break down complex machine learning/predictive modelling and/or development projects into tasks, manage scope of projects, and ensure deadlines are kept. Manages various analytical and modelling projects with small number of team members.
- Mentors and develops others
- Uses best practices to develop complex statistical, machine learning techniques to build models that address business needs and to improve the accuracy of our data and data-driven decisions
- Reviews, evaluates, communicates, and makes recommendation on appropriateness of modelling techniques and results to team, leadership, and stakeholders to ensure these are well understood and incorporated into business processes.
- Develops and executes communication strategy, keeping stakeholders informed and influencing business partners and senior leaders on the effectiveness of machine learning/predictive modelling to solve business problems.
- Collaborates with outside business units and works on data and complex business problems to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models.
- Effectively understand the business' problems and requirements to identify the optimal modelling approach.
- Develops frameworks/prototypes that integrate data and machine learning/predictive modelling to make business decisions.
- All candidates must have the legal right to work in the UK. Allstate is unable to provide sponsorship for this position.
- 3+ years’ experience in building and optimizing cloud-based machine learning systems, in industry or postgraduate position(s).
- Demonstrated proficiency in at least one major cloud provider.
- Experience with modern data science tools and libraries (e.g., Python, R, SQL, TensorFlow, PyTorch)
- Experience with Infrastructure as Code (IaC) frameworks to provision and manage cloud resources
- Experience using CI/CD pipelines, containerization (Docker), observability tools, and cloud security practices
- Certification from at least one major cloud provider.
- A degree of any level in a quantitative field such as mathematics, physics or computer science with classification of 2.1 or higher (or equivalent).
- This job does not have supervisory duties.
#LI-SE1
#LI-Hybrid
#LI-Remote
Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.
You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live.
Good Hands. Greater Together.
What we offer
As Digital DNA’s Workplace of the Year 2020 & 2022 winners, we offer a generous benefits package that includes flexible annual leave entitlement, dental and healthcare insurance, an attractive pension package and discounts on gym memberships, public transport and parking.
Allstate invests heavily in your development, as an employee you will have access to multiple world-class learning platforms and courses from our award-winning in-house Learning & Development team.
We pride ourselves in providing clear career paths and opportunities for internal mobility allowing you to further develop within the organisation.
We encourage a better work life balance and you’ll have the opportunity to apply for various flexible working arrangements.
Statement on Fair Employment and Equal Opportunities
Allstate NI wishes to ensure equal opportunity is given to all job applicants. This company will not discriminate on the grounds of race, gender (including gender reassignment status), sexual orientation, religious belief, political opinion, marital status, age or disability.
We are an equal opportunities employer. We welcome applications from all suitably qualified persons. However, as women are currently under-represented in our workforce, we would particularly welcome applications from women. All appointments will be made on merit.
Applicants should note Allstate NI complete AccessNI background checks on all candidates offered a position.
Posting End Date:
13 June 2025
