At a Glance
- 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.
- Other info: Thriving environment with opportunities for personal and professional growth.
- Why this job: Make a real impact on students' learning with cutting-edge technology.
- Qualifications: Proven Data Science experience, coding skills in SQL and Python.
The predicted salary is between 50000 - 70000 ÂŁ 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're 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 the 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 and 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.
We ask that you have
- A proven track record of making an impact with Data Science.
- Excellent coding skills (SQL, Python).
- 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 distributed version control systems like git.
- Experience using cloud environments (AWS, GCP, Azure).
- Ability to work with engineering teams to productionise AI solutions.
Other Useful Skills Include
- 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).
What We Offer
- Working in a multicultural global team with vibrant and energetic 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.
To Thrive At EF
- 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.
- Excited by having ownership and autonomy.
- Enjoy working in a fast‑paced results‑driven environment.
- Be passionate about learning and language.
Data Scientist employer: EF Corporate Learning
Contact Detail:
EF Corporate Learning 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 of your data science projects, especially those involving machine learning and AI. This will give you a chance to demonstrate your coding skills and problem-solving abilities during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your SQL and Python skills, and get comfortable with machine learning frameworks like PyTorch or TensorFlow. You never know when a technical question might pop up!
✨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 being part of 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 is tailored to the Data Scientist role. Highlight your experience with machine learning, coding skills, and any relevant projects. We want to see how your background aligns with our mission at Efekta!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and education, and explain why you’re excited about the opportunity at Efekta. Let us know how you can contribute to transforming our product experience.
Showcase Your Projects: If you've worked on any cool data science projects, don’t hold back! Include links to your GitHub or any relevant portfolios. We love seeing practical applications of your skills and how you’ve made an impact in previous roles.
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 you’re keen on joining our team!
How to prepare for a job interview at EF Corporate Learning
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in areas like machine learning and predictive modelling. Be ready to discuss your past projects and how you've used SQL and Python to solve real-world problems.
✨Show Off Your Coding Skills
Prepare to demonstrate your coding abilities during the interview. You might be asked to solve a problem on the spot, so practice coding challenges in SQL and Python. Familiarity with frameworks like PyTorch or TensorFlow will definitely give you an edge.
✨Understand Their Product
Dive deep into Efekta's platform and understand how they use AI to enhance language learning. Think about how your skills can contribute to their mission and be ready to share innovative ideas on how AI can optimise their operations.
✨Be Ready for Problem-Solving
Expect questions that test your ability to tackle loosely defined problems. Practice articulating your thought process when faced with open-ended questions, and show how you can translate those into actionable data science approaches.