At a Glance
- Tasks: Transform complex data into actionable insights for fintech platforms.
- Company: Join Denaee, a pioneering fintech super app developer.
- Benefits: Flexible hybrid work, competitive salary, and career growth opportunities.
- Other info: Diverse and inclusive workplace that values your unique perspective.
- Why this job: Make a real impact on innovative financial technology solutions.
- Qualifications: Degree in data science or related field; experience in analytics and machine learning required.
The predicted salary is between 60000 - 80000 £ per year.
Denaee is developing a global fintech super app and deep tech solutions ecosystem that integrates digital banking, payments, virtual trading, AI driven systems, intelligent automation, advanced analytics, digital twin technologies, and connected software and hardware infrastructure. Data intelligence is central to our innovation strategy. We are seeking a highly capable Data Scientist to help transform complex data into actionable insights that strengthen our fintech platforms and intelligent technology systems.
Your Role
As a Data Scientist at Denaee, you will leverage advanced analytics, machine learning, and statistical modelling to enhance decision making across our fintech and deep tech services. You will analyse large scale financial, behavioural, and operational datasets to identify patterns, risks, and growth opportunities. Responsibilities include building predictive models, developing machine learning algorithms, designing experimentation frameworks, and delivering data visualisations that support executive and product strategy. You will collaborate with engineering, AI, product, and compliance teams to integrate scalable, secure, and high performance data solutions into our digital banking platforms and intelligent systems.
Requirements
Candidates should hold a degree in data science, statistics, computer science, or a related quantitative field, with advanced qualifications highly regarded. Proven experience in data analytics and machine learning within fintech, financial services, or advanced technology environments is essential. Strong proficiency in Python, R, SQL, and relevant machine learning libraries is required. You should demonstrate expertise in statistical analysis, predictive modelling, data governance, and visualisation techniques. Clear communication skills and the ability to translate complex analytical findings into strategic recommendations are critical.
Why Denaee
Joining Denaee means contributing to a forward looking organisation redefining finance through intelligent data driven fintech platforms and deep tech ecosystems. You will work alongside engineers, AI specialists, strategists, and product leaders committed to innovation and scalability. We offer a flexible hybrid working model, exposure to advanced digital infrastructure, and the opportunity to make a measurable impact on high growth financial and technology platforms.
Be Yourself
At Denaee, we value diversity, equal opportunity, and inclusive collaboration. We welcome applications from individuals of all backgrounds and foster an environment where diverse perspectives drive innovation. If you require any support during the recruitment process, please contact us and we will ensure your experience is accessible and fully supported.
Data Scientist employer: Denaee Fintech & Super App Group
Denaee is an exceptional employer that champions innovation and inclusivity in the fintech sector. With a flexible hybrid working model and a collaborative culture, employees are empowered to leverage cutting-edge technology while making a significant impact on the future of finance. The company prioritises professional growth, offering opportunities to work alongside industry experts and contribute to transformative projects in a dynamic London environment.
Contact Details:
Denaee Fintech & Super App Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Network Like a Pro
Get out there and connect with people in the fintech and data science space. Attend meetups, webinars, or industry events to meet potential colleagues and employers. Remember, sometimes it’s not just what you know, but who you know!
✨Show Off Your Skills
Create a portfolio showcasing your data projects, analyses, and visualisations. Use platforms like GitHub to share your code and demonstrate your expertise in Python, R, and SQL. This will give you an edge when chatting with hiring managers.
✨Ace the Interview
Prepare for technical interviews by brushing up on your machine learning algorithms and statistical modelling techniques. Be ready to discuss your past projects and how you’ve turned complex data into actionable insights. Practice makes perfect!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It shows your genuine interest in Denaee and gives us a chance to see your application in the best light. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role at Denaee. Highlight your experience with data analytics, machine learning, and any relevant projects that showcase your skills in Python, R, and SQL. We want to see how you can bring value to our fintech super app!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with Denaee's mission. Be sure to mention specific experiences that demonstrate your ability to turn complex data into actionable insights.
Showcase Your Projects:If you've worked on any interesting data projects, don’t hesitate to include them! Whether it's predictive modelling or data visualisations, we love seeing real-world applications of your skills. This gives us a glimpse into your problem-solving abilities and creativity.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes straight to our team. Plus, it shows us you’re keen on joining Denaee!
How to prepare for a job interview at Denaee Fintech & Super App Group
✨Know Your Data Inside Out
Before the interview, dive deep into the types of data Denaee works with. Familiarise yourself with financial, behavioural, and operational datasets. Be ready to discuss how you’ve previously transformed complex data into actionable insights, as this will show your understanding of their needs.
✨Showcase Your Technical Skills
Make sure you can confidently talk about your proficiency in Python, R, SQL, and machine learning libraries. Prepare examples of projects where you've used these tools to build predictive models or develop algorithms. This will demonstrate your hands-on experience and technical expertise.
✨Communicate Clearly
Practice explaining complex analytical findings in simple terms. Denaee values clear communication, so be prepared to translate your technical knowledge into strategic recommendations. Use examples from your past work to illustrate how your insights have influenced decision-making.
✨Collaborate and Connect
Highlight your experience working with cross-functional teams, such as engineering and product. Discuss how you’ve collaborated to integrate data solutions into existing systems. This shows that you’re not just a data whiz but also a team player who can contribute to Denaee’s innovative culture.
