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For Companies At a Glance
- Tasks: Develop and implement machine learning models to analyse complex data sets.
- Company: Join a well-established organisation committed to innovation in business services.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Make a real impact by providing data-driven solutions in a thriving industry.
- Qualifications: Strong background in data science and hands-on experience with AWS ML stack.
- Other info: Located in central London with excellent transport links.
The predicted salary is between 50000 - 69000 ÂŁ per year.
Join our team as a Data Scientist / Machine Learning expert in the Analytics department within the business services industry. This permanent position, based in London, offers an opportunity to apply advanced data science techniques to deliver actionable insights.
Client Details
Our client is a well‑established organisation within the business services industry. They are a medium‑sized entity with a commitment to innovation and excellence in their field, providing a supportive environment for professional growth.
Description
- Develop and implement machine learning models to analyse complex data sets.
- Collaborate with cross‑functional teams to identify business challenges and provide data‑driven solutions.
- Optimise data pipelines and workflows for improved efficiency.
- Translate analytical findings into clear insights and recommendations for stakeholders.
- Stay updated on the latest advancements in data science and machine learning methodologies.
- Create and maintain detailed documentation of data models and processes.
- Conduct exploratory data analysis to uncover trends and patterns.
- Ensure data quality and integrity throughout all analytics processes.
Profile
A successful Data Scientist / Machine Learning expert should have:
- A strong academic background in data science, computer science, mathematics, or a related field.
- Hands‑on experience with AWS ML stack (SageMaker, Lambda, Redshift).
- Proven ability to design and implement machine learning algorithms and models.
- Proficiency in Python, SQL, and ML libraries (e.g., scikit‑learn, XGBoost, PyTorch, TensorFlow).
- Strong data analysis, statistical modelling, and experimentation skills.
- Experience with data visualisation tools and techniques.
- Proficiency in programming languages such as Python, R, or similar.
- Knowledge of data processing frameworks and platforms.
- Attention to detail and a methodical approach to problem‑solving.
Job Offer
Competitive salary ranging from 60,000 to 69,000 per annum. Comprehensive standard benefits package. Opportunity to work in the thriving business services industry. Located in the heart of London with excellent transport links. Permanent role with opportunities for professional growth and development.
If you are ready to take the next step in your career as a Data Scientist / Machine Learning specialist, we encourage you to apply now!
Data Scientist in City of London employer: Michael Page
Contact Detail:
Michael Page 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 people in the industry, attend meetups, and connect on LinkedIn. 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 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 common data science questions and case studies. Practice explaining your thought process clearly, as communication is key when collaborating with cross-functional teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
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 machine learning models and data analysis techniques that match the job description. 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 team. Be sure to mention any relevant projects or experiences that showcase your expertise.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills, especially your proficiency in Python, SQL, and AWS ML stack. We love seeing specific examples of how you've used these tools in past projects, so be detailed!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Michael Page
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts, especially those related to machine learning algorithms and statistical modelling. Be prepared to discuss how you've applied these techniques in real-world scenarios, as this will show your practical understanding.
✨Showcase Your Technical Skills
Make sure you can demonstrate your proficiency in Python, SQL, and any relevant ML libraries like scikit-learn or TensorFlow. Consider preparing a mini-project or case study that highlights your experience with the AWS ML stack, as this could set you apart from other candidates.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Practice explaining your thought process when tackling complex data sets or optimising data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Communicate Clearly and Confidently
During the interview, focus on translating your analytical findings into clear insights. Remember, stakeholders may not have a technical background, so practice simplifying complex concepts. This will demonstrate your ability to collaborate with cross-functional teams.
