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- Tasks: Design and develop scalable data science solutions for a dynamic trading environment.
- Company: Leading data-driven organisation in Canary Wharf, London.
- Benefits: Competitive daily rate, potential for extension, and hands-on experience.
- Why this job: Make a real impact with your skills in a fast-paced trading environment.
- Qualifications: Strong Python skills, statistical knowledge, and experience in data science.
- Other info: Collaborative team culture with opportunities for professional growth.
The predicted salary is between 50400 - 84000 £ per year.
An immediate requirement for multiple Senior Data Scientists to support a large-scale trading environment within a complex, data-driven organisation. The role focuses on building and deploying scalable data science and machine learning solutions that deliver tangible business value. This is a hands-on position suited to experienced practitioners with strong engineering, statistical, and communication skills.
Responsibilities
- Design, develop, and productionise scalable data science and machine learning products
- Collaborate closely with data engineers, software engineers, and business stakeholders
- Apply strong statistical and machine learning foundations to solve real-world trading problems
- Perform in-depth data analysis to generate actionable business insights
- Work across the full data lifecycle, from discovery and prototyping through to deployment and maintenance
- Contribute to GenAI / LLM-based use cases, explaining solutions to both technical and non-technical audiences
- Write clean, well-documented, and testable code in complex environments
- Engage in technical discussions and reviews, maintaining a pragmatic and value-focused mindset
Desired Skills
- Strong development experience in Python and/or other object-oriented languages (e.g. Java)
- Excellent grounding in statistics, machine learning, and mathematical concepts
- Proven experience delivering production-grade data science solutions
- Hands-on experience with modern data science tooling, including LLMs / RAG approaches
- Advanced SQL skills
- Experience working in complex, enterprise-scale environments
- Strong written and verbal communication skills
- Ability to perform under technical interviews including live coding, OOP design, and SQL
Contact Email: Harry@paritasrecruitment.com Mobile (WhatsApp message): +44 7702 946 250
Data Scientist in City of London employer: Paritas Recruitment
Contact Detail:
Paritas Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work in trading. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Prepare for technical interviews by practising coding challenges and brushing up on your statistics and machine learning concepts. We recommend using platforms that simulate real interview scenarios to get you in the zone.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your best work in data science and machine learning. This is your chance to demonstrate your skills and creativity, so make it shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Scientist in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, machine learning, and any relevant projects that showcase your skills in a trading environment. We want to see how you can bring value to our team!
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 the responsibilities listed in the job description. Let us know what excites you about working with us at StudySmarter.
Showcase Your Projects: If you've worked on any data science projects, especially those involving machine learning or trading, make sure to include them. We love seeing practical applications of your skills, so don’t hold back on sharing your achievements!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Paritas Recruitment
✨Know Your Data Science Fundamentals
Brush up on your statistics and machine learning concepts. Be ready to discuss how you've applied these in real-world scenarios, especially in trading environments. This will show that you can not only understand the theory but also implement it effectively.
✨Showcase Your Coding Skills
Prepare for live coding exercises by practising Python and SQL. Make sure you can write clean, well-documented code under pressure. Familiarise yourself with common algorithms and data structures, as these might come up during technical discussions.
✨Communicate Clearly
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Use examples from your past experiences to illustrate your points, making it easier for interviewers to grasp your thought process.
✨Engage in Technical Discussions
Be ready to participate in technical reviews and discussions. Show your ability to collaborate with data engineers and software engineers by discussing how you would approach building and deploying scalable solutions. A pragmatic mindset will impress your interviewers.