Data Scientist - Agentic AI (Hybrid) TLNT1_NI in Belfast

Data Scientist - Agentic AI (Hybrid) TLNT1_NI in Belfast

Belfast Full-Time 50000 - 60000 £ / 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: Allstate, a leader in innovative insurance solutions with a people-first culture.
  • Benefits: Competitive salary, hybrid work, continuous learning, and wellness perks.
  • Other info: Be part of a socially responsible organisation focused on career growth.
  • Why this job: Join a cutting-edge team and make a real impact in AI and data science.
  • Qualifications: Experience in Python, data analysis, and a passion for AI technologies.

The predicted salary is between 50000 - 60000 £ 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, 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.

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) TLNT1_NI in Belfast employer: Allstate Northern Ireland

Allstate NI is an exceptional employer, recognised as a Best Place to Work in IT and committed to fostering a people-first culture that prioritises innovation and professional growth. With access to a Continuous Learning Hub, employees can enhance their skills through tailored learning paths and mentoring, all while enjoying a competitive benefits package that includes flexible working options, private medical insurance, and opportunities for community engagement. Join us in Belfast, where your contributions will make a meaningful impact in a collaborative environment dedicated to engineering excellence and sustainability.

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) TLNT1_NI in Belfast

Tip Number 1

Network like a pro! Reach out to current employees at Allstate or in the data science field. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

Tip Number 2

Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with AI and machine learning. Practising common interview questions can help you feel more confident when it’s your turn to shine.

Tip Number 3

Show off your projects! If you've worked on any cool data science projects, make sure to highlight them during your conversations. Having tangible examples of your work can set you apart from other candidates.

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 genuinely interested in joining the Allstate team.

We think you need these skills to ace Data Scientist - Agentic AI (Hybrid) TLNT1_NI in Belfast

Python
Data Analysis
Machine Learning
Predictive Modelling
SQL
TensorFlow
PyTorch

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Scientist role at Allstate. Highlight your experience with Python, machine learning, and any relevant projects that showcase your skills in AI and data analysis.

Craft a Compelling Cover Letter:Your cover letter should tell us why you're excited about this role and how your background fits. Mention specific projects or experiences that relate to the responsibilities listed in the job description.

Showcase Your Skills:Don’t just list your skills; demonstrate them! Include examples of how you've used programming languages, tools, and techniques in real-world scenarios to solve problems or improve processes.

Follow Application Instructions:Make sure to apply through our website as instructed. Double-check that you’ve included all required documents and information to avoid any hiccups in the application process.

How to prepare for a job interview at Allstate Northern Ireland

Know Your Tech Stack

Make sure you’re familiar with the programming languages and tools mentioned in the job description, especially Python, SQL, and any AI frameworks. Brush up on your knowledge of CI/CD pipelines and cloud security fundamentals, as these are crucial for the role.

Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've tackled data analysis or machine learning challenges. Highlight how you approached the problem, the techniques you used, and the impact of your solutions. This will demonstrate your practical experience and analytical thinking.

Understand the Business Context

Familiarise yourself with Allstate’s mission and values, particularly their focus on protecting families and leveraging technology. Be ready to discuss how your work as a Data Scientist can contribute to their goals, especially in risk management and AI governance.

Ask Insightful Questions

Prepare thoughtful questions about the team dynamics, project planning processes, and how success is measured in the role. This shows your genuine interest in the position and helps you gauge if the company culture aligns with your values.