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- Tasks: Use data analytics to enhance audience engagement and improve user experience.
- Company: We Are Aspire Ltd is a committed employer focused on impactful solutions.
- Benefits: Enjoy hybrid working, flexible hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real difference in audience engagement strategies.
- Qualifications: Advanced degree in a relevant field and two years of machine learning experience required.
- Other info: Start date is July 2025; work collaboratively across diverse teams.
The predicted salary is between 36000 - 60000 £ per year.
Data Scientist – (6-12 Months) 📍 London, N1 9GU | Hybrid Working 🕒 Start Date: July 2025 Are you a talented Data Scientist looking to make an impact in a and influential organisation? This is an exciting opportunity to use your analytical expertise and machine learning skills to enhance audience engagement strategies, improve user experience, and drive innovative solutions. 🔎 About the Role You\’ll be working across diverse teams, Editorial, Marketing, Sales, Product, and Engineering, to develop improving-edge models, generate meaningful insights, and ensure data-driven decision-making. Your work will contribute directly to the organisation\’s mission of informing and engaging audiences. ✨ Key Responsibilities Use advanced data analytics techniques to uncover audience behaviour trends Develop predictive models and machine learning algorithms to enhance decision-making Collaborate with cross-functional teams to shape data-driven solutions Design and conduct experiments, refining models for continuous improvment Enhance data infrastructure and tools for streamlined ML lifecycle management Present complex findings in an accessible way for technical and non-technical stakeholders Ensure ethical data handling and compliance with privacy regulations 📌 What We\’re Looking For ✅ An advanced degree in Statistics, Mathematics, Physics, Computer Science, or a related field ✅ At least two years of experience in Machine Learning ✅ Strong proficiency in Python (NumPy, Pandas, Scikit-Learn) and SQL ✅ Experience with deep-learning frameworks like TensorFlow and PyTorch ✅ Knowledge of cloud services (AWS, Google Cloud) and productionising ML models ✅ Ability to conduct successful A/B and multivariate tests ✅ A keen curiosity and proactive approach to problem-solving We Are Aspire Ltd are a Commited employer
Contact Detail:
We Are Aspire Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in data science and machine learning. Follow industry leaders on social media, read relevant blogs, and participate in online forums to stay updated. This knowledge will not only help you in interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the data science community. Attend meetups, webinars, or conferences where you can connect with others in the industry. Building relationships can lead to referrals and insider information about job openings at StudySmarter.
✨Tip Number 3
Prepare to discuss your past projects in detail, especially those involving machine learning and data analytics. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will showcase your problem-solving skills and technical expertise.
✨Tip Number 4
Practice presenting complex data findings in a clear and engaging manner. Since you'll be working with both technical and non-technical teams, being able to communicate effectively is crucial. Consider doing mock presentations to friends or colleagues to refine your delivery.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly your skills in machine learning and programming languages like Python and SQL. Use keywords from the job description to align your qualifications with what the company is looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how your background aligns with the role. Mention specific projects or experiences that demonstrate your analytical expertise and ability to work collaboratively across teams.
Showcase Your Technical Skills: In your application, include examples of your proficiency in tools and frameworks mentioned in the job description, such as TensorFlow, PyTorch, and cloud services. Consider adding links to any relevant projects or GitHub repositories.
Highlight Problem-Solving Abilities: Emphasise your curiosity and proactive approach to problem-solving in your application. Provide examples of how you've used data analytics to drive decision-making or improve processes in previous roles.
How to prepare for a job interview at We Are Aspire
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and machine learning frameworks like TensorFlow and PyTorch. Bring examples of projects where you've successfully applied these skills, as this will demonstrate your technical proficiency.
✨Understand the Company’s Mission
Research the organisation's mission and how they engage their audience. Be ready to explain how your work as a Data Scientist can contribute to their goals, particularly in enhancing user experience and driving innovative solutions.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical thinking and problem-solving abilities. Practice explaining your thought process when developing predictive models or conducting experiments, as this will highlight your approach to data-driven decision-making.
✨Communicate Complex Ideas Simply
Since you'll be presenting findings to both technical and non-technical stakeholders, practice simplifying complex concepts. Use clear, accessible language to explain your insights and ensure everyone understands the implications of your work.
