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- Tasks: Design and optimise machine learning models to drive data-driven decisions.
- Company: Join a forward-thinking organisation with a focus on innovation and impact.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real difference by delivering predictive insights using cutting-edge technology.
- Qualifications: Degree in data science or related field; strong skills in Python and AWS.
- Other info: Collaborative environment with a focus on advanced analytics and machine learning.
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 City of 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 City of 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 tackled real-world problems.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team and helps us keep track of your application.
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, SQL, and AWS ML services, and don’t forget to showcase any predictive analytics projects you've worked on. We want to see how your skills align with what we're looking for!
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 you can contribute to our mission at StudySmarter. Be sure to mention specific experiences that demonstrate your analytical thinking and collaboration skills.
Showcase Your Projects: If you've got any personal or professional projects related to machine learning or data analysis, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they involve AWS technologies or advanced analytics solutions!
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’re considered for the role. Plus, it gives you a chance to explore more about who we are and what we do at StudySmarter!
How to prepare for a job interview at Spectrum IT Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and the ML libraries mentioned in the job description. Brush up on your experience with AWS services like SageMaker and Lambda, as these will likely come up during technical discussions.
✨Prepare for Scenario Questions
Expect to be asked about past projects where you've built or optimised machine learning models. Be ready to discuss specific challenges you faced, how you approached them, and the impact of your solutions on the business.
✨Communicate Clearly
Since you'll need to explain complex data insights to non-technical stakeholders, practice simplifying your explanations. Use examples from your previous work to demonstrate how you’ve successfully communicated technical concepts in an understandable way.
✨Show Your Collaborative Spirit
This role involves working closely with Data Engineers and other teams. Be prepared to discuss how you’ve collaborated in the past, highlighting your teamwork skills and how you’ve contributed to shared goals.
