At a Glance
- Tasks: Lead SEO improvements and collaborate with teams for optimal site performance.
- Company: Join Lendable, a forward-thinking fintech company focused on innovation.
- Benefits: Flexible working model and a range of wellbeing benefits.
- Other info: Dynamic role with opportunities for professional growth and development.
- Why this job: Make a real impact in the fintech space with your SEO expertise.
- Qualifications: 4+ years in technical SEO with skills in audits and AI applications.
The predicted salary is between 60000 - 60000 £ per year.
Lendable is seeking a Senior Technical SEO to lead SEO improvements across our platforms. This role involves collaborating with engineering and product teams to ensure optimal site performance and organic growth.
Candidates should have 4+ years of experience in technical SEO, with a strong focus on audits, structured data, and AI applications. You’ll drive initiatives for SEO-led product launches, ensuring high-quality execution across all digital properties.
The position offers a flexible working model and a range of benefits aimed at enhancing employee wellbeing.
Senior Technical SEO Lead - AI-Driven Fintech in London employer: hackajob
Lendable is an exceptional employer that prioritises employee wellbeing and professional growth, offering a flexible working model that accommodates diverse lifestyles. With a strong focus on collaboration between engineering and product teams, employees are empowered to drive impactful SEO initiatives in a dynamic fintech environment. The company fosters a culture of innovation and continuous learning, making it an ideal place for those looking to advance their careers in the rapidly evolving world of AI-driven finance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Technical SEO Lead - AI-Driven Fintech in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like hackajob!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like hackajob.
✨Apply Directly through Our Website
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We think you need these skills to ace Senior Technical SEO Lead - AI-Driven Fintech in London
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 hackajob, 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 hackajob. 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 hackajob
✨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!
✨Showcase Your Projects
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 hackajob!
✨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.
