At a Glance
- Tasks: Build predictive models and analyse data to enhance student learning experiences.
- Company: Tech for Good company transforming education access globally.
- Benefits: Salary up to £70k, 25 days holiday, private medical insurance, and training perks.
- Other info: Flexible hybrid working and opportunities for professional growth in a diverse team.
- Why this job: Make a real impact in education while advancing your career as a Data Scientist.
- Qualifications: Strong Python, SQL skills, and experience with Machine Learning frameworks required.
The predicted salary is between 60000 - 70000 £ per year.
London, Greater London | £60k - £70k per year
Opportunity to progress your career as a Data Scientist at a Tech for Good company that is enabling life changing education to be accessed by students around the world.
What's in it for you:
- Salary to £70k
- 25 days holiday
- Private medical insurance
- Training and certifications
- Perks such as restaurant and retail discounts
- Hybrid working (x2 days WFH per week)
Your role:
As a Data Scientist you will work on the company's core AI platform that enables data informed learning for students, from understanding student progress to using predictive modelling to recommend content and learning paths. You’ll build models using diverse learning signals (written, spoken and behavioural data) and apply Machine Learning techniques across NLP, speech / audio and user interaction data. You’ll have your voice heard, presenting your ideas to senior business stakeholders, defining 'undefinable' problems and uncovering insights via data.
Location / WFH:
You’ll join a diverse team in the London office with flexibility to work from home twice a week.
About you:
- You have strong experience as a Data Scientist with statistics and mathematics
- You have strong Python and SQL skills and have worked in AWS cloud environments
- You have experience of building predictive models using user behaviour, sequence data or time-series signals, ideally in real-world product environments
- You have experience with Machine Learning frameworks (e.g. PyTorch, TensorFlow).
- You have advanced analysis and critical thinking skills
- You're collaborative with great communication skills, comfortable presenting to senior stakeholders and pushing back when necessary
- You're degree educated in a relevant STEM discipline
Apply now to find out more about this Data Scientist opportunity.
Data Scientist Python SQL employer: Client Server Ltd.
Join a forward-thinking Tech for Good company in London, where your role as a Data Scientist will not only advance your career but also contribute to transformative educational access for students globally. Enjoy a competitive salary of up to £70k, 25 days of holiday, private medical insurance, and opportunities for professional development through training and certifications, all within a supportive hybrid working environment that values collaboration and innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist Python SQL
✨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
Prepare for interviews by practising common data science questions and showcasing your Python and SQL skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. Highlight any predictive models or machine learning frameworks you've used, especially if they relate to real-world applications.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist Python SQL
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your Python and SQL skills, and any experience with predictive modelling or Machine Learning frameworks. We want to see how your background fits with what we're doing at StudySmarter!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about using data for good and how you can contribute to our mission. Be sure to mention any relevant projects or experiences that showcase your skills.
Showcase Your Projects:If you've worked on any interesting data projects, don’t forget to mention them! Whether it's a personal project or something from your previous job, we love seeing real-world applications of your skills. It gives us a glimpse into your problem-solving abilities.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Client Server Ltd.
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in building predictive models or working with AWS. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex data problems in the past. Think of examples where you defined 'undefinable' issues and how you uncovered insights through data analysis. This will demonstrate your critical thinking and analytical abilities, which are crucial for a Data Scientist role.
✨Communicate Like a Pro
Since you'll be presenting ideas to senior stakeholders, practice explaining your work in simple terms. Avoid jargon and focus on how your insights can drive decisions. This will highlight your communication skills and your ability to collaborate effectively within a team.
✨Be Ready for Technical Questions
Expect some technical questions related to Machine Learning frameworks like PyTorch or TensorFlow. Brush up on your knowledge of these tools and be prepared to discuss their applications in real-world scenarios. This will show that you’re not only knowledgeable but also passionate about the field.
