At a Glance
- Tasks: Support AI solutions from data collection to model deployment and monitoring.
- Company: Join Allstate, a leader in AI risk and governance with a hybrid work culture.
- Benefits: Gain hands-on experience with competitive pay and opportunities for growth.
- Other info: Exciting projects with potential for career advancement in AI and data science.
- Why this job: Make an impact in AI while learning from industry experts in a dynamic environment.
- Qualifications: 3 years of Python experience and a degree in a quantitative field required.
The predicted salary is between 50000 - 70000 £ per year.
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 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.
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
- Minimum 3 years hands‑on experience using Python for data analysis, modeling, and building production‑ready solutions, along with experience with 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).
- All applicants must demonstrate a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy.
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 a classification of 2.1 or higher (or equivalent).
Supervisory Responsibilities: This job does not have supervisory duties.
Data Scientist - Agentic AI (Hybrid) in Belfast employer: Allstate NI
Allstate is an exceptional employer that fosters a collaborative and innovative work culture, particularly in the dynamic field of AI. With a strong emphasis on employee growth, you will have access to cutting-edge tools and resources, enabling you to develop your skills in data science and AI agent development while contributing to impactful projects. Located in a hybrid work environment, Allstate offers flexibility and a supportive atmosphere that encourages continuous learning and professional advancement.
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 folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. Use GitHub to share your code and demonstrate your problem-solving abilities.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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, we love seeing candidates who are proactive!
We think you need these skills to ace Data Scientist - Agentic AI (Hybrid) in Belfast
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your hands-on experience with Python and any other data science tools you've used. We want to see how you've applied these skills in real-world scenarios, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for the Data Scientist role. Mention specific projects or experiences that relate to AI agent development and cloud-based solutions. This shows us you’re genuinely interested in the position.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your experiences and how they relate to the job. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Allstate NI
✨Know Your Tech Stack
Make sure you’re well-versed in Python, R, SQL, and any other tools mentioned in the job description. Brush up on your experience with TensorFlow and PyTorch, as these will likely come up during technical discussions.
✨Showcase Your AI Knowledge
Familiarise yourself with AI agent development frameworks like Azure AF or AWS Strands. Be ready to discuss any projects or coursework that involved these technologies, as it’ll show your genuine interest and understanding of the field.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical skills and how you approach problem-solving. Think of examples where you’ve broken down complex tasks into manageable subtasks, and be prepared to explain your thought process clearly.
✨Communicate Effectively
Practice summarising your findings and experiences succinctly. You’ll need to communicate complex ideas to stakeholders, so being able to articulate your thoughts clearly will set you apart from other candidates.
