Overview
Liberty IT is the tech wing of Liberty Mutual Insurance. We thrive on engineering excellence, build beautifully architected cloud solutions, and run high-stability systems. This role sits in Liberty IT's Data Science group, partnering with business stakeholders and global data science teams to tackle large business problems with advanced data science techniques.
You will collaborate closely with experienced data scientists focusing on advanced challenges such as entity resolution at scale and graph modelling with Neo4J to produce graphical representations of potential fraud rings. Our Data Scientists research and apply advanced techniques in Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision to understand how we can utilise data across all components of insurance and build solutions that enable Liberty Mutual to achieve this. You will have opportunities to learn from and contribute alongside expert data scientists, and to coach and mentor emerging talent.
Responsibilities
- Research and develop solutions to complex business problems, working with large, unstructured datasets.
- Apply various exploratory data analysis techniques to these datasets, including entity resolution at scale and graph-based fraud detection.
- With support from senior data scientists, play a lead role in the delivery of high-quality products, solutions, models, and/or algorithms in a timely manner.
- Make considerations between technical perfection and business outcome in the delivery of solutions.
- Partner with senior business stakeholders and Product Owners to fully understand customers and align work to their requirements.
- Communicate complex concepts to stakeholders in a clear and accessible manner.
- Compare and contrast different statistical programming languages, tools, and packages to meet business requirements.
- Ensure accuracy through the implementation of a variety of approaches and mechanisms in line with best practices.
- Develop best practices for the team and coach other team members on areas such as style, documentation, and code management.
- Grow knowledge in all components of the Data Science life cycle.
- Share and celebrate achievements through internal tech talks, blogging, and external events.
Qualifications
- A third level qualification in Mathematics, Computer Science, Statistics or another quantitative field.
- A minimum of two years' postgraduate relevant Data Science experience in a commercial environment or completed a PhD with two years of suitable industry or research experience in a Data Science role.
- Strong Python skills with experience in Natural Language Processing and Predictive Modelling, alongside solid SQL capabilities.
- Experience in creating, deploying, and tuning complex, non-linear predictive models to solve business problems using Python and related data science tooling.
- Experience in technical communication with both business stakeholders and technical peers.
- Experience working with big data concepts, strategies, methodologies, and tools such as MongoDB, Snowflake, Spark, or Hadoop.
- Knowledge and experience deploying enterprise-scale data science products.
- Experience in coaching and mentoring team members.
Desirable Experience
- Computer Vision Expertise: practical experience or exposure to modern computer vision models and techniques (e.g., ResNet, YOLO, Vision Transformers), with an understanding of image processing workflows and model evaluation.
- Familiarity with MLflow for experiment tracking and model lifecycle management.
- Experience with AWS services (S3, EC2, SageMaker, Lambda) or similar tools for model deployment and data pipelines.
What you'll be doing
- Research and develop solutions to complex business problems, working with large, unstructured datasets.
- Apply exploratory data analysis techniques, including entity resolution at scale and graph-based fraud detection.
- With support from senior data scientists, lead the delivery of high-quality products, solutions, models, and/or algorithms in a timely manner.
- Balance technical excellence with business outcomes in solution delivery.
- Partner with senior business stakeholders and Product Owners to understand customers and align work to their requirements.
- Communicate complex concepts to stakeholders clearly and accessibly.
- Evaluate different programming languages, tools, and packages to choose technologies that meet business needs.
- Implement rigorous approaches to ensure accuracy and align with best practices.
- Develop team best practices and mentor colleagues on style, documentation, and code management.
- Grow knowledge across the Data Science lifecycle.
- Share knowledge and achievements through internal tech talks, blogging, and external events.
What’s on offer
- Health insurance (including 24/7 digital doctor), life assurance, and income protection.
- Employee discounts, annual bonuses, and a competitive pension.
- Flexible working and a real work-life balance with hybrid and in-office options.
- Continuous learning, promotion opportunities, and a generous recognition programme.
If you're ready to take on impactful challenges alongside a skilled and supportive team, apply today and help us unlock the power of data at Liberty IT.
About Us
A little background on LIT
Liberty IT is the tech wing of Liberty Mutual Insurance. We are an ideas company focused on engineering excellence and technical mastery. We build cloud solutions and operate stable systems, learning from the finest minds.
Liberty IT is an equal opportunity employer, committed to inclusion and diversity. If you have a disability, accommodations are available on request during recruitment and selection processes.
Now, it's over to you. If you're ready to fly in your career, apply now. To start the process, click the Apply button below to Login/Register.