Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform the fintech industry by implementing cutting-edge analytics projects for top insurance and banking clients.
- Company: Join a leading fintech Unicorn making a global impact in the insurance and banking sectors.
- Benefits: Enjoy competitive benefits, growth opportunities, and a collaborative team environment.
- Why this job: Be part of a mission-driven company where your work directly influences strategic business decisions.
- Qualifications: Fluent in French with experience in data science and strong communication skills required.
- Other info: Willingness to travel across EMEA and globally is needed; previous insurance or banking experience is a plus.
The predicted salary is between 28800 - 48000 £ per year.
Transform an industry with your expertise. Stand out for what makes you extraordinary. Be the disruptor you were born to be.
Create a global impact and join our rapidly growing team in a leading fintech growth Unicorn, serving the insurance and banking industries.
Our Professional Services team leads the implementation of cutting-edge analytics projects with industry-leading insurance companies and banks around the world. In this role, you will work closely with client-side pricing and leadership teams to develop data-based models that inform strategic business decisions, as well as software and product development activities.
What you’ll do:
- Support data extraction and analysis for clients
- Build and review statistical models to predict customer behaviour as risk and demand.
- Develop and implement pricing strategies.
- Synthesize and communicate strategic recommendations to key internal and client-side stakeholders.
- Support Earnix executives to deliver a technical presentation highlighting Earnix software functionality.
- Assist in thought leadership and product development activities around analytics in Insurance.
- Train customer personnel and strategic integration partners on the use of Earnix software
- Develop RFP responses, proposals, presentations, and other technical sales support as needed.
You’ll do it using:
- Fluent French Speaker
- Experience in the analytical world – data science, BI, statistical, or economic consulting
- Good working knowledge of modern data science analytical tools: Python, R, etc.
- Excellent communication, writing, and interpersonal skills
- Willingness and flexibility to travel across EMEA and globally if needed.
- Authorization to work in the UK.
- A strong understanding of core system integration and machine learning methods are both a plus.
- Experience in the insurance or banking industries is preferred, and previous exposure to analytics within pricing, deposits or lending is a plus.
You’ll excel by:
- Focusing on the art of the possible
- Communicating with honesty, candour, and respect
- Collaborating seamlessly with colleagues across the company
- Being resourceful and creative
- Acting with empathy
You’ll love it because:
- This is an incredibly impactful role in the organization.
- You will have the opportunity to work in a successful, fast-moving, mission-driven company.
- You will have growth opportunities.
- You will collaborate with other professional and enthusiastic team members.
- Earnix has competitive benefits with an all-for-one mentality.
Professional Services Consultant - French Speaking employer: Earnix
Contact Detail:
Earnix Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Professional Services Consultant - French Speaking
✨Tip Number 1
Make sure to showcase your analytical skills and experience in data science during networking events or conversations. Highlight any specific projects where you've successfully implemented statistical models or pricing strategies.
✨Tip Number 2
Familiarize yourself with the latest trends in the fintech industry, especially related to insurance and banking. Being able to discuss these topics intelligently can set you apart in interviews and discussions with potential colleagues.
✨Tip Number 3
Practice your technical presentation skills. Since you'll be delivering presentations on Earnix software functionality, being able to communicate complex ideas clearly and confidently is crucial.
✨Tip Number 4
Leverage your French language skills by connecting with professionals in the industry who are also fluent in French. This can help you build a network that may lead to job opportunities and insights into the role.
We think you need these skills to ace Professional Services Consultant - French Speaking
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in data science, statistical modeling, and any relevant work in the insurance or banking industries. Tailor your CV to showcase projects that align with the responsibilities of the role.
Showcase Language Skills: Since this position requires fluency in French, be sure to highlight your language proficiency prominently in your application. If you have any certifications or experiences that demonstrate your language skills, include those as well.
Demonstrate Communication Skills: Given the importance of communication in this role, provide examples in your cover letter of how you've effectively communicated complex ideas to stakeholders. This could include presentations, reports, or collaborative projects.
Tailor Your Application: Customize your cover letter to reflect your understanding of Earnix's mission and values. Mention specific aspects of the company that resonate with you and how you can contribute to their goals.
How to prepare for a job interview at Earnix
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data extraction and analysis. Highlight specific projects where you built statistical models or developed pricing strategies, as this will demonstrate your expertise in the analytical world.
✨Communicate Effectively in French
Since this role requires fluent French, practice discussing your previous experiences and technical knowledge in French. This will not only show your language proficiency but also your ability to communicate complex ideas clearly.
✨Demonstrate Your Technical Knowledge
Familiarize yourself with modern data science tools like Python and R. Be ready to discuss how you've used these tools in past roles, especially in relation to analytics in insurance or banking.
✨Emphasize Collaboration and Empathy
Prepare examples that showcase your ability to collaborate with diverse teams and stakeholders. Highlight situations where you acted with empathy and respect, as these qualities are highly valued in the company culture.
