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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 hours, and opportunities for professional growth.
- Why this job: Make a real difference by delivering cutting-edge AI solutions that drive business value.
- Qualifications: Experience in machine learning, excellent communication skills, and a passion for data.
- Other info: Dynamic work environment with opportunities to collaborate across various business areas.
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 roles present 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 techniques.
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.
- 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.
Data Scientist in London employer: Optimus E2E Ltd
Contact Detail:
Optimus E2E Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨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 set you apart from the crowd.
✨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 non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities waiting for talented data scientists like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Scientist in London
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 Projects: If you've worked on any cool data science projects, make sure to include them in your application. Whether it's a recommendation system or a chatbot, we love seeing practical examples of your work and how you’ve used advanced techniques.
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 candidates who take the initiative!
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 Natural Language Processing and Neural Networks. Prepare to explain how you've applied these skills in real-world scenarios.
✨Understand the Business Context
Familiarise yourself with the FinTech industry and the specific challenges it faces. Think about how your data science skills can solve business problems. This will help you connect your technical expertise with the company's needs during the interview.
✨Prepare for Stakeholder Interaction
Since you'll be working with various stakeholders, practice explaining complex data concepts in simple terms. Think of examples where you've successfully communicated technical information to non-technical colleagues, as this will showcase your communication skills.
✨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 shows that you're not just a technical expert but also a team player.
