Junior Data Scientist
Halifax, NS
AXIS Capital
With 19 offices worldwide, AXIS Capital is a leading provider of specialty lines insurance and reinsurance globally.This is your opportunity to join AXIS Capital – a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture. As a member of AXIS, you join a team that is among the best in the industry.
At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work.
All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin or ancestry, citizenship, physical or mental disability, age, marital status, civil union status, family or parental status, or any other characteristic protected by law. Accommodation is available upon request for candidates taking part in the selection process.
Data Scientist Analyst
Job Family Grouping: TBC
Job Family: TBC
How does this role contribute to our collective success?
Data and analytics are of critical importance for AXIS. Simply put, we want to turn data into information, that can be used to:
Enable decisions to be made with confidence, based on information not just intuition.
Be more proactive, using information to identify new opportunities, and getting to them before our competitors.
Realize cost savings, finding ways to make processes more efficient, enabling our people to focus on using their skills to further add business value.
The Innovation & Analytics team is a core component of AXIS’s strategy, with the potential to transform the way in which we do business and enable us to effectively leverage data and technology to our competitive advantage. The central mandate is to horizon-scan, prototype and implement innovative solutions to business problems.
What will you do in this role?
As a Data Scientist Analyst within the Innovation & Analytics team, you will be working to support the delivery of business-critical projects to our underwriting partners and beyond. You will support Innovation & Analytics Leads and the Lead Data Scientist with data gathering, data analysis, code development and deployment. Through this team we will deliver solutions using both traditional data science techniques, machine learning and GenAI.
In this role you will be responsible for:
Collecting and wrangling datasets, including liaising with owners of datasets to understand and cater for nuances of source systems.
Applying traditional machine learning techniques, such as regression, classification, and clustering, to build predictive models and solve business challenges.
Leveraging generative AI models to create innovative solutions, automate processes, and generate insights from unstructured data.
Supporting the testing, prototyping and development of data science solutions to business problems, led by the Lead Data Scientist in support of the Innovation & Analytics Leads.
Supporting the development and deployment of business-led analytics microservices, utilising Azure Functions and other similar technologies.
Supporting the review of third party products and data vendors.
Supporting the generation of reports and presentations to clearly articulate findings, in partnership with Innovation & Analytics Leads.
Developing your knowledge of the (re)insurance industry, AXIS’s business structure and the coverages that we offer, to become a well-informed technical business partner.
Building relationships with key business partners, supported by Innovation & Analytics Leads and the Lead Data Scientist.
About You:
We encourage you to bring your own experience and expertise to the table so, while there are some qualifications and experiences we need you to have, we are open to discussing how your individual knowledge might lend itself to fulfilling this role and help us achieve our goals.
What you need to have:
Bachelor’s or advanced degree in a highly analytical subject; professional experience in data science.
Strong knowledge of SQL and Python/R for producing data science work product.
Strong data collection & data wrangling skills, using these platforms.
Experience with traditional machine learning techniques (NLP, Classification, etc.)
Strong communication skills, with a proven ability to win confidence of colleagues.
Strong knowledge of modern technologies.
A naturally curious disposition and an entrepreneurial desire to explore innovative solutions.
What we prefer you to have:
Experience with Databricks and Azure Cognitive Services
Up to date knowledge of advancements in Generative AI / LLMs.
Experience with Azure DevOps and GitHub
Familiarity with standard corporate deployment processes
Working knowledge of the specialty insurance industry
Technical data visualization skills (e.g., using d3)
Role Factors:
In this role, you will typically be required to:
Engage in company activities to grow your network and build a strong team culture.
Attend your local office to meet and build relationships with colleagues and the wider business.
What we offer:
You will be eligible for a comprehensive and competitive benefits package which includes medical plans for you and your family, health and wellness programs, retirement plans, tuition reimbursement, paid annual leave, and much more.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Classification Clustering D3 Data analysis Databricks Data visualization DevOps Generative AI GitHub LLMs Machine Learning Microservices NLP Prototyping Python R SQL Testing Unstructured data
Perks/benefits: Career development Health care Insurance Medical leave Parental leave Team events Wellness
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.