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- Tasks: Transform educational experiences using AI and data-driven solutions.
- Company: Join Efekta, a leader in innovative online language learning.
- Benefits: Competitive salary, career progression, and a supportive multicultural team.
- Why this job: Make a real impact on students' learning with cutting-edge technology.
- Qualifications: Experience in Data Science and machine learning frameworks required.
- Other info: Fast-paced environment with opportunities for personal and professional growth.
The predicted salary is between 50000 - 70000 £ per year.
Efekta is investing in product innovation to deliver the next generation of educational experiences. We are reinventing online language learning and are driving new and engaging ways for students and teachers to get the best out of our platform with a strong focus on AI and customer facing data products. We are looking for like-minded individuals who love to grow, solve new and exciting problems, and make a genuinely positive impact on our customers’ lives.
As part of Efekta’s AI & Analytics team your mission is to transform our product experience in innovative and impactful ways. You’ll be working closely with our Learning, Product, & Engineering teams to understand opportunities & challenges and deliver AI driven solutions, which we can prove make an impact on student learning.
Main Responsibilities:- Contribute to the Efekta AI platform that enables data-informed learning for our students, from understanding student progress to recommending content and learning paths.
- Build models using diverse learning signals (written, spoken, and behavioural data).
- Apply Machine Learning across NLP, speech/audio, and user interaction data.
- Help us create measurable business impact by working on data products.
- Research and recommend new innovative ways AI can optimise our business operations.
- A proven track record of making an impact with Data Science.
- Experience building predictive models using user behaviour, sequence data, or time-series signals, ideally in real-world product environments.
- Experience with machine learning frameworks (e.g. PyTorch, TensorFlow).
- Experience using cloud environments (AWS, GCP, Azure).
- Ability to work with engineering teams to productionise AI solutions.
- Comfortable taking ownership of loosely defined problems, translating open-ended questions into clear data science approaches and measurable outcomes.
- Thrives in fast-moving, evolving environments, iterating quickly with incomplete data and adapting solutions as requirements and insights change.
- Experience in developing data processing applications in Java/Scala/Python.
- Experience working with streaming data sources (e.g. Kinesis Streams or Apache Flink).
- Working in a multicultural global team with vibrant and energetic team of colleagues by your side.
- Comprehensive and supportive onboarding and further personal and professional development and career progression opportunities.
- A competitive salary and benefits package.
- Length of Service Recognition including paid sabbatical.
- Have strong personal drive and energy.
- Be curious about our clients’ businesses and how our solutions can enable their success.
- Possess an entrepreneurial spirit with a nothing is impossible mindset.
- Be excited by having ownership and autonomy.
- Enjoy working in a fast-paced results-driven environment.
- Be passionate about learning and language.
Want to learn more about life at EF? Follow us on social.
Data Scientist employer: EF Education First Gruppe
Contact Detail:
EF Education First Gruppe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at Efekta on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the AI & Analytics team.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving machine learning and AI. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Ace the interview! Research common data science interview questions and practice your answers. Be ready to discuss how you've tackled real-world problems using data-driven solutions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Efekta team.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your experience with machine learning frameworks and any relevant projects you've worked on, especially those that show your impact in real-world environments.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how you can contribute to our mission at Efekta. Share specific examples of how you've tackled challenges in data science and what excites you about transforming educational experiences.
Showcase Your Problem-Solving Skills: In your application, emphasise your ability to take ownership of loosely defined problems. We love candidates who can translate open-ended questions into clear data science approaches, so don’t shy away from sharing your thought process!
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 the role. Plus, it shows your enthusiasm for joining our team!
How to prepare for a job interview at EF Education First Gruppe
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around predictive modelling and machine learning frameworks like PyTorch or TensorFlow. Be ready to discuss your past projects and how you've applied these skills in real-world scenarios.
✨Understand Efekta's Mission
Dive deep into Efekta’s focus on AI and educational experiences. Familiarise yourself with their products and think about how your skills can contribute to their mission of transforming online language learning. This shows genuine interest and alignment with their goals.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving abilities and understanding of data processing applications. Brush up on your knowledge of cloud environments like AWS or GCP, and be prepared to discuss how you would productionise AI solutions with engineering teams.
✨Show Your Curiosity and Drive
Efekta values individuals who are curious and have a strong personal drive. Be ready to share examples of how you've taken ownership of projects, tackled loosely defined problems, and iterated quickly in fast-paced environments. This will highlight your entrepreneurial spirit and adaptability.