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# Data Scientist

- **Company:** Sync NI
- **Location:** United Kingdom
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Data Analysis, Big Data, Github, Python (Programming Language), Large Language Models, Claude Code, Generative AI, Information Technology, Machine Learning Operations, Software Version Control, Databricks
- **Published:** October 15, 2026
- **Apply:** https://careerslit-libertymutual.icims.com/jobs/261988/data-scientist/job?mobile=false&width=1150&height=500&bga=true&needsRedirect=false&jan1offset=0&jun1offset=60

## About the Role

+ 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 research experience in a Data Science role.
 + Experience in creating, deploying and tuning complex, non linear predictive models to solve business problems using Python and associated Data Science tooling.
 + Experience working with big data concepts, strategies, methodologies, predictive modelling, gen ai and some elements of research.
 + Experience in technical communication with peers and non technical stakeholders.
Experience and skills we'd love:
We've included some further skills and experience that would be great. However, don't rule yourself out if you haven't had the opportunity to develop these yet. We have a learning culture at Liberty IT, so we will support your career growth with us.

 + MLOps exposure is desired.
 + Technologies Required: Python, MLFlow, DataBricks, LangGraph, LLMs
 + Knowledge and experience of deploying enterprise scale data science products.
 + Active participation in knowledge sharing activities, both within the team and with wider non technical audiences.

## Description

* 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.
Who you'll be working with:
At Digital Progression, we research, assess, and experiment with emerging technologies, to unlock value for the business and build vertical enterprise capabilities.
Through a multidisciplinary research framework, and in partnership with expert communities across Liberty Mutual and external groups, we take emerging tech through the Digital Progression innovation pipeline. This starts with scanning potentially disruptive trends, through technical, readiness research and experimentation with Liberty use cases, to the creation of new technology driven capabilities.
The role will combine traditional data science and machine learning with technical research into areas such as generative AI, agentic systems, and large language models. LLM Assisted Development: At Liberty, our data science team has serval tools available to help them write code: GitHub Co Pilot and Claude Code. We are continuing to explore tools which can further enhance this offering., + Research and develop solutions to complex business problems, working with large, unstructured datasets. Apply various exploratory data analysis techniques and processes to these datasets.

 + With support from Senior, Principal and Lead Data Scientists, play a 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 business stakeholders and Product Owners to fully understand your customers and align your work to their requirements. Communicate complex concepts to stakeholders in a manner that they can understand.
 + 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 coaches 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.
+