Strategic Data Delivery Lead for Insurance Tech in London

Strategic Data Delivery Lead for Insurance Tech in London

London Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Arch Insurance

At a Glance

  • Tasks: Lead data transformation projects and ensure timely delivery of high-quality data solutions.
  • Company: Arch Insurance, a forward-thinking company in the insurance tech space.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborate with diverse teams and present to senior management.
  • Why this job: Make a significant impact on strategic data initiatives in a dynamic environment.
  • Qualifications: Experience in data engineering and strong leadership skills required.

The predicted salary is between 70000 - 90000 £ per year.

Arch Insurance is seeking a Data Engineering & Delivery Lead with an end-to-end view of the data estate to own strategic portfolio changes. The role leads a large data transformation and collaborates closely with Business, Change Management and 3rd parties to ensure on-time delivery with the required quality and engineering standards.

You will oversee strategic data programmes, manage risks and present updates to senior management, ensuring compliance with policies and the enterprise roadmap.

Strategic Data Delivery Lead for Insurance Tech in London employer: Arch Insurance

At Arch Europe Insurance Services Ltd, we pride ourselves on fostering a collaborative and innovative work environment that empowers our employees to reach their full potential. As a Lead Software Developer, you will benefit from continuous professional development opportunities, a supportive team culture, and the chance to work with cutting-edge technologies in a dynamic location that inspires creativity and growth.

Arch Insurance

Contact Details:

Arch Insurance Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Strategic Data Delivery Lead for Insurance Tech in London

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Apply Directly through Our Website

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We think you need these skills to ace Strategic Data Delivery Lead for Insurance Tech in London

Communication Skills
Problem-Solving Skills
API Integration
Python
SQL
Data Engineering
Data Pipeline Development

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Arch Insurance, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Arch Insurance. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Arch Insurance

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Arch Insurance!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.