Data Scientist in London

Data Scientist in London

London Full-Time No home office possible
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At a Glance

  • Tasks: Design and deliver impactful data science and machine learning solutions.
  • Company: Dynamic tech firm in Central London with a focus on innovation.
  • Benefits: Competitive daily rate, flexible work environment, and opportunities for growth.
  • Why this job: Join a cutting-edge team and make a real difference with your skills.
  • Qualifications: 5+ years in data science, strong programming and communication skills.
  • Other info: Collaborative culture with a focus on delivering value and execution.

We are looking for an experienced Data Scientist to design, build, and deliver scalable data science and machine learning solutions that drive real business impact. This role requires strong technical depth, excellent communication skills, and the ability to work collaboratively in complex environments.

Key Responsibilities

  • Design, develop, and maintain scalable data science products using statistical and machine learning techniques
  • Perform data analysis to generate actionable business insights
  • Collaborate closely with data engineers, software engineers, and business stakeholders to deliver end-to-end solutions
  • Apply data science and GenAI techniques (including LLMs and RAG) across the full data lifecycle
  • Ensure solutions are reliable, well-documented, and production-ready

Required Skills & Experience

  • Strong development experience in at least one object-oriented programming language (Python, Java, etc.)
  • Solid understanding of the mathematical foundations of statistics and machine learning
  • 5+ years of hands-on experience designing, prototyping, productionizing, and maintaining data science solutions in complex environments
  • Advanced SQL skills
  • Experience building reusable, scalable data science products
  • Strong written and verbal communication skills, with the ability to explain complex concepts to both technical and non-technical audiences
  • Customer-centric, pragmatic mindset with a focus on value delivery and execution

For more information on this role apply online or send your CV to c.burn@ltharper.com

Data Scientist in London employer: LT Harper - Cyber Security Recruitment

Join a forward-thinking company in Central London that values innovation and collaboration, offering Data Scientists the opportunity to work on cutting-edge GenAI and machine learning projects. With a strong emphasis on employee growth, you will benefit from a supportive work culture that encourages continuous learning and development, while enjoying competitive daily rates and the chance to make a tangible impact in a dynamic environment.
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Contact Detail:

LT Harper - Cyber Security Recruitment 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 your connections in the data science field, attend meetups, and engage in online forums. 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 GenAI and machine learning. 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 communication skills. Practice explaining complex concepts in simple terms, as you'll need to collaborate with both technical and non-technical folks.

✨Tip Number 4

Don't forget to apply through our website! It’s a great way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Data Scientist in London

Data Science
Machine Learning
Statistical Analysis
Object-Oriented Programming (Python, Java)
Data Analysis
SQL
Collaboration
Communication Skills
GenAI Techniques
LLMs
RAG
Scalable Solutions
Documentation
Customer-Centric Mindset

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your experience in data science and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!

Showcase Your Technical Skills: Since this role requires strong development experience, be sure to mention your proficiency in programming languages like Python or Java. We love seeing examples of your work, so include any links to projects or GitHub repositories if you can!

Communicate Clearly: Your written application should reflect your ability to explain complex concepts simply. We value strong communication skills, so make sure your application is clear, concise, and free of jargon where possible.

Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!

How to prepare for a job interview at LT Harper - Cyber Security Recruitment

✨Know Your Tech Inside Out

Make sure you brush up on your programming skills, especially in Python or Java. Be ready to discuss your past projects and how you've applied machine learning techniques. They’ll want to see your technical depth, so be prepared to dive into the nitty-gritty!

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex data science challenges in the past. Think about specific instances where your solutions had a real business impact. This will demonstrate your ability to generate actionable insights and deliver value.

✨Communicate Clearly

Practice explaining complex concepts in simple terms. You’ll likely need to communicate with both technical and non-technical stakeholders, so being able to bridge that gap is crucial. Consider doing mock interviews with friends to refine your communication style.

✨Collaborate Like a Pro

Since this role involves working closely with data engineers and software engineers, think of examples where you’ve successfully collaborated in a team. Highlight your customer-centric mindset and how you focus on delivering value through teamwork.

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