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- Tasks: Join our team to develop and enhance InsurSight, our award-winning SaaS platform using Python.
- Company: LCP, an award-winning actuarial and analytics consultancy with a collaborative culture.
- Benefits: Enjoy hybrid working, competitive salary, professional development, and a comprehensive benefits package.
- Why this job: Make a real impact in the insurance analytics space while growing your Python skills.
- Qualifications: Strong Python experience and familiarity with large datasets are essential.
- Other info: Be part of a diverse team with excellent career growth opportunities and a focus on wellbeing.
The predicted salary is between 28800 - 48000 ÂŁ per year.
Location - London with hybrid working as per departmental requirements (currently a MINIMUM of 40% (2 days per week)). LCP is an awardâwinning actuarial and analytics consultancy providing marketâleading capabilities and advice across pensions and financial services, energy, health, and analytics. We use powerful analytics fused with human expertise to shape a more positive future.
We have an exciting opportunity to join our Insurance Analytics team as a Python Developer. You will play a leading role in the continued development of InsurSight, our awardâwinning SaaS platform. InsurSight was launched in April 2020 and is currently used to assess over ÂŁ200bn of nonâlife insurance business. We are expanding the team to help us support our expanding client base whilst delivering our exciting plans to develop the platform further.
You will work within our backend team to help shape the direction of how we use Python within InsurSight, focussing on feature development, performance, maintainability, and tighter integration of our C# and Python backend codebases. You will also support and mentor less experienced developers, conduct code reviews, and take ownership of key technical challenges â particularly where large datasets and performance bottlenecks are involved.
Our team consists of:
- 1 Product manager
- 4 C# developers
- 2 Python developers
- 1 Actuarial data scientist
- 2 Front end developers
- 1 DevOps and site reliability engineer
- 3 QA Engineers
You will have the benefit of the guidance of our actuarial data scientists, Python developer and product manager, but also the opportunity to take ownership of your work. This is a midâlevel role for someone looking to deepen their Python and software engineering skills whilst working in a domainârich environment.
Key Responsibilities:
- Provide Python development expertise on new InsurSight features, ensuring performance, scalability and maintainability
- Help with further integration between our C# and Python codebases, rewriting or restructuring code where needed to reduce inefficiencies and improve cohesion
- Optimise performance of complex data and analytics workflows, including calculations on larger datasets (e.g. on 4GB+ datasets)
- Review and provide feedback on code written by other developers, support mentoring and skill development across the team
- Champion best practices in software engineering including testing, version control, CI/CD, and OOP
- Collaborate with actuaries, analysts and data scientists to deliver technically robust, industryârelevant features
- Research and prototype new technologies to support innovation and continuous improvement
- Contribute to a culture of curiosity, collaboration and technical excellence
Skills and Experience:
- Strong Python development experience, with a track record of writing productionâgrade, maintainable code
- Experience working with large datasets and performanceâcritical workloads
- Familiarity with Azure PaaS/SaaS tools (e.g. Azure Functions, Batch, Blob/Table/Queue Storage), and CosmosDB
- Comfort with softwareâengineering best practices: automated testing, version control, CI/CD, OOP
- Proactive, problemâsolving mindset with a focus on performance and user experience
- Exposure to actuarial or nonâlife insurance analytics, or an interest in domainârich environment
- Experience picking up complex and unfamiliar analytical concepts
What's in it for you?
Take a look at our Glassdoor and Career stories pages to see why our people love being here! As well as joining a multiâaward winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes:
- Hybrid working (see top of the advert for details)
- Professional study support (where applicable)
- Access to our internal Wellbeing, LGBTQ+, Multicultural and Women's networks
- Life assurance
- Income protection
- Enhanced maternity/paternity/adoption and shared parental leave
- 26 days annual leave (proâratio for partâtime working) plus bank holidays (most of which can be taken flexibly!) with options to buy & sell holiday
- Private medical insurance
- Discounted gym memberships, critical illness and dental insurance through our flexible benefits
- Eye care vouchers
- Cycle to work scheme
- Digital GP services
- Competitive pension scheme
- Discretionary bonus scheme
- High street discounts
- Season ticket loans
- Volunteering opportunities
- Electric vehicle salary sacrifice scheme (qualifying period applies)
And much more! We continuously strive to build an inclusive workplace where all forms of diversity are valued, including age, background, disability, gender, gender identity, gender expression, race, religion or sexual orientation. LCP is committed to making our opportunities accessible to all and would welcome you getting in touch to let us know if an adjustment can be made to help with your application. This may be extra time for assessments, preâinterview site visits, interview structure or questions, or asking us about building accessibility. Whatever it may be, please get in touch via our dedicated email address - accessibilityaware@lcp.uk.com to discuss how we can support you with your application.
LCP operates a Preferred Supplier List (PSL) for recruitment agencies which is reviewed annually. We do not accept unsolicited CVs from agencies who are not part of our current PSL. LCP only pay agency fees where we have a signed agreement in place, and the agency has been instructed by a member of our recruitment team to supply CVs via the Applicant Tracking System (ATS) for a legitimate, open vacancy. If this process is not adhered to, LCP reserve the right to contact these candidates directly and have discussions with them without paying any agency fees. We do not pay agency fees when speculative and unsolicited CVs are submitted to any employee or Partner at LCP.
Python Developer - Insurance analytics in London employer: Stryker Corporation
Contact Detail:
Stryker Corporation Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Python Developer - Insurance analytics in London
â¨Tip Number 1
Network like a pro! Reach out to current employees at LCP on LinkedIn or through mutual connections. A friendly chat can give you insider info and might even lead to a referral!
â¨Tip Number 2
Prepare for the technical interview by brushing up on your Python skills. Practice coding challenges that focus on performance and large datasets, as these are key in the role.
â¨Tip Number 3
Show off your passion for insurance analytics! Be ready to discuss how your previous projects relate to the industry and how you can contribute to InsurSight's development.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows youâre serious about joining our team!
We think you need these skills to ace Python Developer - Insurance analytics in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Python Developer role. Highlight your experience with Python, especially in performance-critical environments and large datasets. We want to see how your skills align with our needs!
Showcase Your Projects: Include any relevant projects or contributions you've made, particularly those involving SaaS platforms or analytics. This gives us a glimpse into your hands-on experience and problem-solving abilities.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and responsibilities. We appreciate straightforward communication that gets right to the heart of your qualifications.
Apply Through Our Website: Donât forget to apply through our website! Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, it shows youâre keen on joining our team!
How to prepare for a job interview at Stryker Corporation
â¨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with writing production-grade code and optimising performance, especially when dealing with large datasets. Prepare examples of past projects where you tackled performance bottlenecks.
â¨Familiarise Yourself with InsurSight
Take some time to understand what InsurSight is all about. Research its features and how it integrates with C#. Being able to speak knowledgeably about the platform will show your genuine interest in the role and help you stand out.
â¨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in previous roles, particularly those involving complex data workflows. Highlight your proactive approach to problem-solving and how youâve implemented best practices in software engineering.
â¨Engage with the Team Dynamics
Since you'll be working closely with actuaries and data scientists, demonstrate your collaborative spirit during the interview. Share experiences where you mentored others or contributed to a team project, as this will resonate well with their culture of curiosity and collaboration.