Senior Data Scientist

Liberty IT: industry leaders in digital innovation. Liberty IT is part of Libe...

Reach beyond with Liberty IT; for this is where you’ll find the super challenges, where you’ll be given the scope and the support to go further, dig deeper and fly higher.

We won’t stand over your shoulder. We won’t get in your way. We certainly won’t hold you back. You’ll bring the expertise. We’ll provide the platform to succeed.

Ready?

It’s time to do your thing.

Liberty IT’s Data Science group partners directly with business stakeholders and global data science teams to create solutions for large business problems. 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, for example in managing risk, 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.

Experience and skills we need:

• 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 associated 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 of deploying enterprise scale data science products.
• Experience in coaching and mentoring team members.

Experience and skills we’d love:

• Computer Vision Expertise: Practical experience or exposure to modern computer vision models and techniques such as ResNet, YOLO, Vision Transformers (ViTs), or similar. Solid understanding of image processing workflows, deep learning pipelines, and model evaluation.
• Familiarity with MLflow for tracking experiments, managing model lifecycle, or deploying models.
• Experience with AWS services such as S3, EC2, SageMaker, Lambda, or similar tools for model deployment and data pipelines.

Research and develop solutions to complex business problems, working with large, unstructured datasets.

Apply various exploratory data analysis techniques and processes 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 your customers and align your 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 make informed decisions on what technologies to use to meet the 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 your knowledge in all components of the Data Science life cycle.

Seek opportunities for you and your team members to share and celebrate what you’ve achieved through internal tech talks, blogging, and external events.

Feel safe and secure whatever life brings, with health insurance (including 24/7 access to a digital doctor), life assurance, and income protection.

Enjoy both today and tomorrow with employee discount schemes, annual bonuses, and a competitive pension.

Protect your wellbeing with flexible working and a real work-life balance. Specifically, we have adopted a hybrid and in-office working culture, meaning you have ultimate flexibility in your work environment.

Grow yourself, your career and reputation through continuous learning, promotion opportunities and our 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.