Data Scientist Senior Consultant - 12 Month Fixed Term(Hybrid)

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. 

• →Support the analytical needs of the Allstate marketing team through deep dive analytics, predictive modeling, ML engineering to enhance customer acquisition sophistication and marketing effectiveness.
• →Analyse complex datasets to identify patterns, generate actionable insight and inform data driven business decisions.
• →Design, develop and implement complex statistical and machine learning models, applying appropriate techniques to address business needs and improve modelling accuracy and outcomes.
• →Collaborate with marketing data engineers, stakeholders and the wider team to identify business problems, determined optimal modelling approaches and integrate solutions into business processes.
• →Evaluate and communicate modelling techniques, results and recommendations to senior management and stakeholders, influencing decision-making and enduring alignment with business objectives
• →Identify new data sources, tools, technologies and techniques that improve analytical capabilities, drive efficiencies and address emerging business challenges.
• →Manage moderately complex machine learning and predictive modelling projects, applying effective planning and delivery techniques to meet agreed deadlines.
• →Mentor and support the development of other team members.

• →This job does not have supervisory duties.

• 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’ experience in developing and applying statistical, ML and predictive modelling techniques to solve complex business problems.
• Hands on experience of programming languages (Python, SQL and/or R).
• Demonstrated experience in supporting, coaching or mentoring colleagues.

• Master’s Degree in one of the following: Engineering, Economics, Statistics, Applied Math, Computer Science, or related field.
• Knowledge and practical experience implementing into production several of the following:
  • Machine learning models (XGBoost, GBM, LASSO, neural networks, etc)
  • Time series modeling
  • Bayesian modeling (MCMC, Gibbs sampling, Metropolis-Hastings, etc)
  • Reinforcement learning
  • Recommendation systems
  • Multi-arm bandits
  • Causal inference
  • Quasi-experimental analysis
  • Data engineering concepts
    

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.

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.