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- Tasks: Lead impactful data science projects and mentor junior team members.
- Company: Join a leading FinTech client at the forefront of innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real difference by delivering cutting-edge data products that drive business success.
- Qualifications: Experience in machine learning, excellent communication skills, and a passion for data science.
The predicted salary is between 36000 - 60000 £ per year.
Are you passionate about delivering real value to an organisation using advanced techniques in data science and machine learning? We are looking for multiple talented senior data scientists for our leading FinTech client. These role presents an opportunity for you to partner with stakeholders across all areas of the business, including marketing, risk, customer services and quants, to deliver impactful data products using state-of-the-art machine learning technique
Key Responsibilities
- Lead high-impact projects, being a technical thought leader and subject matter expert in classic Machine Learning as well as advanced and generative AI.
- Explore a variety of data from structured to unstructured data spanning client, operational and financial domains to identify opportunities for data science that add value to the business.
- Advance the use of AI within the business by building our next generation data products, e.g. recommendation systems, chatbots, text analytics systems, pricing and hedging optimisation and automatic insight generation systems.
- Work with stakeholders from across the business to turn business problems into data science solutions. Mentor junior members of the department, helping them grow
Experience
- Implementing machine learning in production using in-house or third-party data science platforms
- Building machine learning models; experience in Natural Language Processing, Time-Series prediction, Neural Networks and Recommendation Systems will be advantageous.
- You possess excellent communication skills, explaining complicated concepts to non-technical colleagues.
- Generating insights from complex data sources.
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Data Scientist employer: Optimus E2E Ltd
Contact Detail:
Optimus E2E Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the FinTech space and let them know you're on the hunt for a Data Scientist role. You never know who might have the inside scoop on an opportunity that’s not even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning and AI. This will give potential employers a taste of what you can do and how you can add value to their business.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to explain complex concepts in simple terms, as you'll need to communicate effectively with stakeholders from various departments.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for talented data scientists like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
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. Highlight your experience with machine learning, data analysis, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
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 you can deliver real value to our organisation. Don't forget to mention specific techniques or projects that excite you.
Showcase Your Communication Skills: As a Data Scientist, you'll need to explain complex concepts to non-technical colleagues. In your application, demonstrate your ability to communicate clearly and effectively. We love seeing candidates who can bridge the gap between tech and business!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Optimus E2E Ltd
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning techniques and data science concepts. Be ready to discuss your experience with various models, especially in areas like Natural Language Processing and recommendation systems. The more specific examples you can provide, the better!
✨Understand the Business Context
Familiarise yourself with the FinTech industry and the specific challenges it faces. Think about how your skills can solve real business problems. This will help you connect your technical expertise to the company's needs during the interview.
✨Prepare for Stakeholder Interaction
Since you'll be working with different teams, practice explaining complex data science concepts in simple terms. Prepare examples of how you've successfully communicated with non-technical colleagues in the past. This will show that you can bridge the gap between data and business.
✨Showcase Your Mentoring Skills
If you have experience mentoring junior team members, be sure to highlight this. Discuss how you've helped others grow in their roles and how you can contribute to building a strong team culture. This is key for a senior position!