External 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: Liberty IT's Data Science group partner directly with business stakeholders and the global Office of Data Science to create solutions for large business problems.
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 get the opportunity to learn from experienced Data Scientists and to coach and mentor our emerging Data Scientists.
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.
Experience in creating, deploying and tuning complex, non-linear predicitive models to solve business problems using Python and associated Data Science tooling.
Experience in working with big data concepts, strategies, methodologies and tools such as MongoDB, Snowflake, Spark or Hadoop.
Experience in technical communication with peers and non-technical stakeholders.
Experience in coaching and mentoring team members 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.
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.
What you'll be doing: Researches and develops solutions to complex business problems, working with large, unstructured datasets.
Apply various exploratory data analysis techniques and processes to these datasets.
With support from Principal and Lead 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 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.
What's on offer 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.
About Us **This position may have in-office requirements depending on candidate location.
** At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow.
That's why we provide an environment focused on openness, inclusion, trust and respect.
Here, you'll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.
Liberty Mutual has proudly been recognized as a "Great Place to Work" by Great Place to Work US for the past several years.
We were also selected as one of the "100 Best Places to Work in IT" on IDG's Insider Pro and Computerworld's 2020 list.
For many years running, we have been named by Forbes as one of America's Best Employers for Women and one of America's Best Employers for New Graduates-as well as one of America's Best Employers for Diversity.
To learn more about our commitment to diversity and inclusion please visit: We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being.
To learn more about our benefit offerings please visit: Liberty Mutual is an equal opportunity employer.
We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices California San Francisco Los Angeles Philadelphia To be considered for this role you will be redirected to and must complete the application process on our careers page.
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