Data Scientist

Data Scientist

Full-Time 43200 - 72000 £ / year (est.) No working from home possible
LT Harper - Cyber Security Recruitment

At a Glance

  • Tasks: Design and deliver impactful data science and machine learning solutions.
  • Company: Join a leading staffing and IT consulting firm in Central London.
  • Benefits: Competitive contract salary, collaborative environment, and career growth opportunities.
  • Other info: Work on-site 3 days a week in a dynamic team.
  • Why this job: Make a real difference with cutting-edge GenAI and ML technologies.
  • Qualifications: 5+ years in data science, strong programming skills, and excellent communication.

The predicted salary is between 43200 - 72000 £ per year.

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
  • 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 employer: LT Harper - Cyber Security Recruitment

Join a dynamic and innovative team as a Cyber Security Specialist, where you'll have the opportunity to lead high-impact red team engagements in the financial services sector. Our flexible and supportive work environment fosters collaboration and creativity, allowing you to develop your technical and leadership skills while working on cutting-edge projects that make a real difference. With a focus on employee growth and mentorship, we are committed to helping you thrive in your career.

LT Harper - Cyber Security Recruitment

Contact Details:

LT Harper - Cyber Security Recruitment 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 industry! Attend meetups, webinars, or even casual coffee chats. We all know that sometimes it’s not just what you know, but who you know that can help land that Data Scientist role.

Show Off Your Skills

Create a portfolio showcasing your data science projects. Whether it's a GitHub repo or a personal website, let your work speak for itself. We want to see how you’ve tackled real-world problems using GenAI and ML techniques!

Ace the Interview

Prepare for technical interviews by brushing up on your coding skills and understanding of machine learning concepts. Practice explaining your thought process clearly, as communication is key. We’re looking for someone who can break down complex ideas for both techies and non-techies alike!

Apply Through Our Website

Don’t forget to 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 engage directly with us. Let’s get you that Data Scientist position!

We think you need these skills to ace Data Scientist

Data Science
Machine Learning
Statistical Analysis
Object-Oriented Programming (Python, Java)
Data Analysis
SQL
Communication Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience in data science and machine learning. Use keywords from the job description to show that you’re a perfect fit for the role.

Showcase Your Projects:Include specific examples of projects you've worked on, especially those involving GenAI and ML. This will help us see your hands-on experience and how you can drive business impact.

Communicate Clearly:Since strong communication skills are key, ensure your application is well-structured and easy to read. Explain complex concepts simply, as if you're talking to someone without a technical background.

Apply Through Our Website:We encourage you to apply directly through our website. 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!

Communicate Clearly

Since this role requires explaining complex concepts to both technical and non-technical audiences, practice articulating your thoughts clearly. Use simple language when discussing your work and be ready to provide examples of how you've communicated effectively in the past.

Show Your Collaborative Spirit

This position involves working closely with data engineers and business stakeholders. Think of examples where you've successfully collaborated in a team setting. Highlight your ability to work in complex environments and how you’ve contributed to delivering end-to-end solutions.

Focus on Business Impact

Prepare to discuss how your data science solutions have driven real business impact in previous roles. Be specific about the insights you generated and how they influenced decision-making. This will show that you have a customer-centric mindset and are focused on value delivery.