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- Tasks: Develop machine learning models and analyse complex data sets to drive business solutions.
- Company: Established organisation in the business services industry, focused on innovation.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Make a real impact with data science in a dynamic London environment.
- Qualifications: Strong background in data science and hands-on experience with machine learning tools.
- Other info: Permanent role with excellent transport links and career development opportunities.
The predicted salary is between 48000 - 55200 £ 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.
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.
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.
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.
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 employer: Michael Page
Contact Detail:
Michael Page Recruiting 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 conferences related to data science. You never know who might have a lead on your dream job or can offer valuable insights.
✨Show Off Your Skills
Create a portfolio showcasing your projects and machine learning models. Use platforms like GitHub to share your code and analyses. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for technical interviews by brushing up on your algorithms and data structures. Practice explaining your thought process clearly and concisely. Remember, they want to see how you approach problems, not just the final answer!
✨Apply Through Us!
Don’t forget to apply through our website! We’re here to help you land that Data Scientist role. Plus, we often have exclusive listings that you won’t find anywhere else. Let’s get you that job!
We think you need these skills to ace Data Scientist
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, data analysis, and any relevant tools like Python and AWS. We want to see how your skills match 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. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to see your hands-on experience and creativity in action.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you're keen to join our team!
How to prepare for a job interview at Michael Page
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around machine learning algorithms and models. Be ready to discuss your hands-on experience with tools like Python, SQL, and AWS ML stack. They’ll want to see that you can not only talk the talk but also walk the walk!
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges in the past. Think about times when you collaborated with teams to provide data-driven solutions. This is your chance to demonstrate your analytical thinking and how you translate data into actionable insights.
✨Stay Updated on Trends
The field of data science is always evolving, so make sure you’re up-to-date with the latest advancements and methodologies. Bring up recent trends or technologies during the interview to show your passion for continuous learning and innovation in the industry.
✨Ask Insightful Questions
Don’t forget that interviews are a two-way street! Prepare thoughtful questions about the company’s data practices, team dynamics, and future projects. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
