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- Tasks: Design and optimise machine learning models to drive data-driven decisions.
- Company: Join a forward-thinking organisation making an impact with data science.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of data science, using AWS tech to influence real-world outcomes.
- Qualifications: Degree in data science or related field; strong skills in Python and machine learning.
- Other info: Collaborative environment with a focus on innovation and strategic impact.
The predicted salary is between 36000 - 60000 £ per year.
Our client is looking for an experienced Data Scientist to design, build, and optimise machine learning models and advanced analytics solutions that support institutional priorities across a large, complex network. The role blends hands-on data science with strategic impact, using AWS technologies to deliver predictive insights that drive proactive interventions and data-driven decision-making. This is a hybrid role with the expectation of working 2 days pw in the London office.
Skills and experience required:
- Bachelor's degree in data science, Statistics, Computer Science, Mathematics, or similar
- Experience delivering predictive analytics or machine learning solutions
- Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow)
- Hands-on experience with AWS ML services (SageMaker, Lambda, Redshift)
- Ability to clearly communicate insights to non-technical stakeholders
- Strong analytical thinking, collaboration skills, and a results-driven mindset
Role responsibilities:
- Build, tune, and maintain predictive and ML models using AWS SageMaker
- Analyse large datasets and perform feature engineering to improve model performance
- Run experiments, test hypotheses, and optimise models for accuracy and value
- Monitor model performance and manage retraining over time
- Collaborate with Data Engineers, BI Developers, and Analysts to integrate outputs into dashboards and reports
- Partner with academic, operational, and IT stakeholders to translate insights into action
- Document models and support knowledge sharing and scalability
- Contribute to the expansion of predictive analytics into advanced ML/AI use cases
Data Scientist in London employer: Spectrum IT Recruitment
Contact Detail:
Spectrum IT 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 and let them know you're on the hunt for a new role. 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 machine learning projects, especially those using AWS technologies. 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 discuss your experience with Python, SQL, and ML libraries, as well as how you've used them in real-world scenarios.
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities waiting for talented data scientists like you. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
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 models, AWS technologies, and any relevant projects that showcase your skills in Python and SQL. 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 job description. Don’t forget to mention your ability to communicate insights to non-technical stakeholders – that's a biggie for us!
Showcase Your Projects: If you've worked on any cool projects or have a portfolio, make sure to include that in your application. We love seeing practical examples of your work, especially those involving predictive analytics or machine learning solutions. It gives us a better idea of what you can do!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Spectrum IT Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, SQL, and AWS ML services. Brush up on your knowledge of libraries like scikit-learn and TensorFlow, as you might be asked to discuss how you've used them in past projects.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems using data science techniques. Think about specific examples where you've built or optimised models, and be ready to explain your thought process and the impact of your work.
✨Communicate Clearly
Since you'll need to convey insights to non-technical stakeholders, practice explaining complex concepts in simple terms. Use analogies or visual aids if necessary, and be prepared to discuss how your findings can drive decision-making.
✨Show Your Collaborative Spirit
This role involves working closely with various teams, so highlight your teamwork skills. Be ready to share examples of how you've collaborated with Data Engineers or Analysts in the past, and how you’ve contributed to successful projects together.