At a Glance
- Tasks: Lead data science initiatives and deliver innovative pricing models for the insurance sector.
- Company: Major player in the insurance market focused on modernisation and analytics.
- Benefits: Competitive rates, flexible working, and a chance to shape the future of insurance pricing.
- Other info: Diverse and inclusive workplace with opportunities for professional growth.
- Why this job: Make a real impact in a dynamic environment while leading cutting-edge data science projects.
- Qualifications: Experience in insurance pricing models, strong Python skills, and team leadership experience.
The predicted salary is between 60000 - 80000 £ per year.
Our client, a major organisation within the insurance market, is looking for an experienced Data Science Lead to support a large-scale modernisation programme, delivering commercial analytics and predictive pricing capabilities.
You'll be a great fit for this role if:
- You have delivered insurance pricing models and have experience building commercial analytics and predictive modelling solutions.
- You have General Insurance or London Market experience.
- You have experience with HX Renew/Hyperexponential (highly desirable).
- You have strong Python expertise, alongside experience with Spark, R and modern data science tooling.
- You have strong stakeholder management skills and proven experience leading data science teams and initiatives.
- You can communicate effectively with both technical and business stakeholders and drive delivery in complex environments.
The role requires 1 day pw in London and is offering very competitive market rates, Inside IR35.
We know that the most successful teams have a diversity of background, experience and approach. When we recruit, we welcome the unique contributions you can bring thanks to your sex, ethnicity, race, gender identity, nationality, age, disability and beliefs.
Data Science Lead in London employer: William Alexander Recruitment Ltd
As a leading organisation in the insurance market, we pride ourselves on fostering a dynamic work culture that values innovation and collaboration. Our Data Science Lead role offers not only competitive market rates but also the opportunity to work in a diverse environment where your contributions are recognised and valued. With a focus on employee growth, we provide access to cutting-edge tools and resources, ensuring you can thrive in your career while making a meaningful impact on our modernisation programme.
Contact Details:
William Alexander Recruitment Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Lead in London
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace Data Science Lead in London
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Data Science Lead at William Alexander Recruitment Ltd, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at William Alexander Recruitment Ltd.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at William Alexander Recruitment Ltd
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
