Data Scientist - Agentic AI (Hybrid) in Belfast

Data Scientist - Agentic AI (Hybrid) in Belfast

Belfast Full-Time 50000 - 70000 £ / year (est.) No working from home possible
Allstate Northern Ireland

At a Glance

  • Tasks: Support AI solutions development and collaborate on data-driven projects.
  • Company: Join Allstate, a leader in innovative insurance solutions.
  • Benefits: Flexible benefits, career growth, and access to world-class learning platforms.
  • Other info: Be part of a socially responsible team with a people-first culture.
  • Why this job: Make a real impact in AI while working with cutting-edge technology.
  • Qualifications: Experience in Python and data science tools; passion for AI development.

The predicted salary is between 50000 - 70000 £ per year.

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:

As a Data Scientist in Allstate's AI Risk, Governance and Research area, you'll support the development and maintenance of data driven agentic solutions, working under the guidance of senior team members across the full lifecycle—from data collection and exploratory analysis to model/agent development, deployment, and monitoring. You will build foundational experience designing and implementing AI agents and cloud-based AI solutions, while learning how to maintain scalable AI systems in production environments. You'll collaborate across teams to learn and apply established best practices and reusable components, helping ensure consistent and high-quality execution of agents. As a team member, you'll contribute to the development and deployment of machine learning and AI solutions, with exposure to observability, security, and efficient LLM utilization.

Key Responsibilities:

  • Learn and apply LLMs, programming languages, and tools used by the team to improve efficiency and solve business problems.
  • Assist in exploring new data sources, research, and models under direction from senior team members.
  • Support project planning efforts by breaking down AI/predictive modeling and development tasks into manageable subtasks, tracking progress and meeting assigned deadlines.
  • Execute analytical and modeling tasks as part of a larger project team.
  • Apply standard best practices to develop statistical and machine learning techniques to build models that address business needs and improve data quality and decision making.
  • Review and discuss AI/modeling techniques and results with peers and mentors, clearly communicating findings and incorporating feedback.
  • Contribute to stakeholder communications by preparing summaries, documentation, and analysis to support senior team members in influencing business partners and leaders.
  • Work with guidance to understand business problems and requirements and help identify appropriate modeling approaches.
  • Assist in developing prototypes and frameworks that integrate data and machine learning/predictive modeling into business decision making processes.

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.
  • A minimum of 3 years of hands-on, practical experience using Python for data analysis, modelling, and building production ready solutions, along with experience using other modern data science tools (R, SQL, TensorFlow, PyTorch).
  • Working knowledge or coursework exposure to CI/CD pipelines, containerization (Docker), observability concepts, and cloud security fundamentals.
  • Introductory experience or strong interest in AI agent development using at least one framework (e.g., Azure AF, AWS Strands, Google ADK, LangGraph, OpenAI Agents SDK).

Desirable Skills:

  • Interest in or exposure to risk management or AI governance concepts.
  • Exposure to AWS Bedrock and/or Azure Foundry through projects, coursework, or on-the-job experience.
  • Basic familiarity with Infrastructure as Code (IaC) concepts and tools for provisioning and managing cloud resources.
  • Familiarity with building no-code/low-code agents using M365.
  • 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).

Supervisory Responsibilities:

This job does not have supervisory duties.

Why join us?

Allstate NI is proud to be Allstate's European Digital Centre of Excellence—recent winners of 'Best Use of Cloud Services' at the Belfast Telegraph IT Awards 2024, and recognised for our community and sustainability impact at the 2024 Business in the Community Awards and Gold accreditation for Environmental Responsibility. 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 offer:

  • A generous, flexible benefits package including annual leave, healthcare and dental cover, pension, and lifestyle discounts.
  • Access to world-class learning platforms and award-winning L&D.
  • Clear career paths, internal mobility, and a strong focus on growth.
  • A people-first culture with flexible working options.
  • Be part of a high-performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way.

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.

To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process, click the Apply button below to Login/Register.

Data Scientist - Agentic AI (Hybrid) in Belfast employer: Allstate Northern Ireland

At Allstate, we pride ourselves on fostering a collaborative and innovative work environment that empowers our employees to grow and excel. As a Data Scientist in our Belfast office, you'll benefit from a flexible benefits package, access to world-class learning platforms, and clear career paths, all while contributing to meaningful projects that protect families and enhance community sustainability. Join us in a people-first culture where your skills are valued, and your professional development is supported every step of the way.

Allstate Northern Ireland

Contact Details:

Allstate Northern Ireland Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist - Agentic AI (Hybrid) in Belfast

Tip Number 1

Network like a pro! Reach out to current employees at Allstate on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the Data Scientist role. Personal connections can give you an edge!

Tip Number 2

Prepare for the interview by brushing up on your technical skills. Make sure you're comfortable discussing Python, machine learning techniques, and AI governance concepts. Practice explaining your past projects and how they relate to the job description.

Tip Number 3

Show your passion for AI and data science! During interviews, share your thoughts on recent trends in the industry or innovative projects you've worked on. This will demonstrate your enthusiasm and commitment to the field.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Allstate team and ready to contribute to our mission.

We think you need these skills to ace Data Scientist - Agentic AI (Hybrid) in Belfast

Python
R
SQL
TensorFlow
PyTorch
Machine Learning
Predictive Modelling

Some tips for your application 🫡

Show Your Passion for Data Science:When writing your application, let your enthusiasm for data science shine through! Share specific examples of projects or experiences that sparked your interest in AI and machine learning. We love seeing candidates who are genuinely excited about the field.

Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Data Scientist role at Allstate. Highlight relevant skills like Python, machine learning, and any experience with AI agents. We want to see how your background aligns with what we're looking for!

Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. Remember, we’re looking for specific skills and experiences, so make sure they stand out without unnecessary fluff.

Apply Through Our Website:Don’t forget to apply through our careers page! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to navigate, so go ahead and get started!

How to prepare for a job interview at Allstate Northern Ireland

Know Your Tools

Make sure you’re familiar with the programming languages and tools mentioned in the job description, like Python, SQL, and TensorFlow. Brush up on your skills and be ready to discuss how you've used them in past projects.

Understand AI Concepts

Since this role involves AI agent development, take some time to understand the frameworks mentioned, such as Azure AF or AWS Strands. Being able to talk about your interest or experience with these will show your enthusiasm for the role.

Prepare for Collaboration

This position requires teamwork, so think of examples where you’ve successfully collaborated on projects. Be ready to share how you’ve communicated findings and incorporated feedback from peers or mentors.

Showcase Your Problem-Solving Skills

Be prepared to discuss specific business problems you've solved using data analysis or machine learning techniques. Highlight your ability to break down complex tasks into manageable subtasks, as this is key for project planning.