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- Tasks: Design and deliver impactful data science and machine learning solutions.
- Company: Dynamic staffing and IT consulting firm in Central London.
- Benefits: Competitive contract salary, collaborative environment, and career growth opportunities.
- Why this job: Join a team that leverages GenAI and ML to drive real business impact.
- Qualifications: 5+ years in data science, strong programming skills, and excellent communication.
- Other info: Work on-site 3 days a week in a vibrant city.
The predicted salary is between 60000 - 80000 £ 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.
Data Scientist in England employer: LT Harper - Cyber Security Recruitment
Contact Detail:
LT Harper - Cyber Security Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in England
✨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 skills and practising common data science interview questions. Be ready to explain your thought process and how you approach problem-solving in real-world scenarios.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are eager to make an impact in the data science world.
We think you need these skills to ace Data Scientist in England
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 clear and concise. Avoid jargon where possible, and explain complex concepts simply to demonstrate your ability to engage with both technical and non-technical audiences.
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 any important updates about the role.
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 intricate data science topics, and think of examples that showcase your ability to bridge the gap between tech and business.
✨Showcase Collaboration Skills
This position involves working closely with data engineers and software engineers. Prepare examples of how you've successfully collaborated in the past. Highlight any experiences where teamwork led to delivering impactful solutions, as they’ll be looking for someone who thrives in a collaborative environment.
✨Focus on Business Impact
Be ready to discuss how your data science solutions have driven real business impact in previous roles. Think about specific metrics or outcomes that demonstrate your customer-centric approach and pragmatic mindset. They want to see that you understand the value of your work beyond just the technical aspects.