Data Scientist Consultant - Hybrid TLNT1_NI in Belfast

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. For more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. Your role in the team is responsible for leading the use of data to make decisions, including the development and execution of new machine learning predictive models.

Join us in shaping how Allstate shows up for customers by building the intelligent decisioning layer that powers personalised, data-driven engagement across every touchpoint. As part of Customer Engagement & Connectivity (CEC), you will work on the Next Best Action (NBA) ecosystem, designing and optimising the decisions that guide how we support, engage, and connect with millions of customers every day. This is an early-career Data Scientist role, ideal for candidates who are looking to develop their skills while working on high-impact, real-world data science and decisioning problems at scale.

You will work alongside a team of passionate, curious, and collaborative professionals tackling complex, real-world challenges. Together, we are building the systems that power intelligent customer engagement, bringing together data, insights, and advanced analytics to ensure the right action is taken for every customer, at the right time. Our work sits at the forefront of Allstate's transformation, helping deliver simpler, more connected, and more personalised experiences. We partner closely across business, technology, and product teams to embed data and decisioning into every aspect of customer engagement. We are committed to fostering an inclusive and diverse environment where new ideas are encouraged, different perspectives are valued, and everyone has the opportunity to grow and make an impact.

Key responsibilities:

• Work as part of a data science team to analyse data, build insight, and support the development of predictive, analytical, and decisioning solutions.
• Use Python, Spark, and relevant data tools to clean, transform, explore, and analyse datasets.
• Support the development, testing, and validation of machine learning models, business metrics, dashboards, and decisioning logic.
• Apply foundational statistical and machine learning techniques to help solve business problems and improve data-driven decision-making.
• Work with business and technical colleagues to understand requirements, clarify assumptions, and translate problems into analytical tasks.
• Communicate analysis, methods, and results clearly through written summaries, visualisations, presentations, and documentation.
• Help validate data, model outputs, metrics, and reports to ensure results are accurate, reliable, and explainable.
• Contribute to scalable and repeatable data science processes, including data preparation, workflow automation, monitoring, and well-documented code.
• Learn and apply good practice in coding standards, version control, testing, data governance, security, and responsible AI.
• Manage assigned work effectively by breaking tasks into clear steps, tracking progress, raising blockers early, and incorporating feedback.
• Actively participate in team discussions, code reviews, demos, retrospectives, and knowledge-sharing activities.

Essential Skills:

• All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy.
• Achieved a First Class Bachelor's degree in a highly quantitative field such as mathematics, physics or computer science with at least one year of experience in a related field, or 2:1 degree classification or higher and at least two years of experience in a related field.
• Experience with at least one programming language (e.g. Python, R, or similar).
• Understanding of basic statistical and machine learning concepts.
• Strong problem-solving skills and ability to work with data.
• Good communication skills and ability to explain technical concepts clearly.
• Demonstrated curiosity and willingness to learn.

Desirable Skills:

• Achieved a First Class/Distinction or equivalent (or expected to achieve before Summer 2026) Master's degree in a highly quantitative field such as mathematics, physics or computer science.
• A quantitative PhD.
• Experience working with real-world datasets (data cleaning, feature engineering, exploratory analysis).
• Exposure to machine learning model development and evaluation.
• Familiarity with cloud platforms or distributed data tools (e.g. Azure, AWS, Spark).
• Understanding of software engineering practices (e.g. Git, testing).
• Experience communicating insights through visualisation or presentations.
• Interest in applying data science to customer or decisioning problems.

Supervisory Responsibilities: This role does not have supervisory duties.

Why join us? Allstate NI is proud to be Allstate's European Digital Centre of Excellence, a hub for innovation and engineering excellence. We're recent winners of Best Place to Work in IT (100+ employees) and Best Use of Cloud Services at the Belfast Telegraph IT Awards, and we've been recognised for our community and sustainability impact with Platinum in the Northern Ireland Environmental Benchmarking Survey. We're a product-driven, cloud-first organisation delivering real outcomes through modern technology, a digital product-centric talent model, and a culture rooted in engineering excellence.

Our teams work in cross-functional structures, guided by an outcome-based delivery approach that accelerates speed, agility, and value. We also invest in you. At Allstate NI, your career growth matters. You'll have access to our Continuous Learning Hub, designed to support skills development and professional advancement through tailored learning paths, certifications, and mentoring opportunities. Whether you're deepening technical expertise or exploring leadership roles, we provide the tools and support to help you thrive.

What do you get in return? As well as receiving a competitive annual salary, our reward package includes: Corporate bonus scheme, Pension scheme, Annual performance-related pay reviews, Life assurance and income protection, Flexible working options, Hybrid working, Private medical and dental insurance, Access to an employee assistance programme, Discounted gym membership, Two paid volunteering days each year, Cycle to work scheme.

Be part of a high-performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way.