At a Glance
- Tasks: Build predictive models and apply Machine Learning techniques to enhance student learning.
- 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 career progression 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 in London 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, generous benefits including 25 days holiday, private medical insurance, and opportunities for professional development through training and certifications, all within a collaborative and inclusive work culture that values your insights and ideas.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist Python SQL in 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 using Python and SQL. 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 questions. Be ready to discuss your experience with predictive modelling and machine learning frameworks like PyTorch or TensorFlow.
✨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 in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, SQL, and any relevant Machine Learning frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
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 of enabling life-changing education. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any interesting projects, especially those involving predictive modelling or user behaviour analysis, make sure to mention them. We love seeing real-world applications of your skills!
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Client Server Ltd.
✨Know Your Data Science Stuff
Make sure you brush up on your statistics, Python, and SQL skills before the interview. Be ready to discuss your experience with predictive modelling and machine learning frameworks like PyTorch or TensorFlow. 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 discuss specific examples where you've tackled complex data problems. Think about how you defined 'undefinable' issues and the insights you uncovered. This will demonstrate your analytical thinking and ability to apply your skills in real-world scenarios.
✨Practice Your Presentation Skills
Since you'll be presenting ideas to senior stakeholders, practice explaining your projects clearly and confidently. Use simple language to convey complex concepts, and be prepared to answer questions. This will show that you can communicate effectively, which is key for collaboration.
✨Embrace the Company Culture
Research the company’s mission and values, especially their focus on 'Tech for Good'. Be ready to discuss how your personal values align with theirs and how you can contribute to their goal of enabling life-changing education. This will help you stand out as a candidate who truly fits their culture.
