At a Glance
- Tasks: Lead analytics engineering to drive growth through innovative data insights.
- Company: Join a global insurer at the forefront of data innovation.
- Benefits: Competitive daily rate and a 6-month contract.
- Other info: Collaborate with top-tier firms and explore cutting-edge AI trends.
- Why this job: Be a trailblazer in analytics and shape the future of insurance.
- Qualifications: Must have insurance experience and strong leadership skills.
The predicted salary is between 51750 - 63250 £ per year.
Are you ready to take the helm of a thriving company's analytics engineering department? DATAHEAD has partnered with a global insurer seeking an experienced and visionary leader to redefine their approach to data and insights, shaping the narratives that drive our growth. As the Head of Analytics Engineering, you won't be just another executive - you will be an innovator, a trailblazer, and the Chapter Lead of our analytical endeavours.
Responsibilities:
- Steering the course of analytics engineering, driving the firm's growth using far-reaching data insights
- Fostering a culture of innovation, setting trends instead of following them
- Collaborating with top-tier strategy firms to explore the latest AI trends and applications
Requirements:
- Must have insurance background!
- Extensive experience in analytics engineering
- Proven leadership and strategic decision-making skills
- Advanced knowledge of AI and the latest tech stacks
- Capacity to innovate and adapt in a rapidly evolving industry
- MS Azure, Python, PowerBI, Pyspark, Databricks
Conditions:
- £750/£800 per day
- 6 Months Contract
Data engineer in insurance in London employer: DATAHEAD
DATAHEAD is an exceptional employer that offers a dynamic work environment focused on innovation and growth. With a commitment to employee development and a culture that values collaboration, you will have the opportunity to lead transformative initiatives in a rapidly expanding market. The company's support for relocation and housing ensures a smooth transition for those moving to Europe, making it an attractive choice for ambitious leaders looking to make a significant impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data engineer in insurance in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like DATAHEAD before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like DATAHEAD.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like DATAHEAD.
We think you need these skills to ace Data engineer in insurance in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at DATAHEAD, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to DATAHEAD, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab DATAHEAD’s attention and show the tangible impact of your work.
How to prepare for a job interview at DATAHEAD
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at DATAHEAD.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at DATAHEAD.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at DATAHEAD.
