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 paid sabbaticals.
- Other info: Work in a vibrant, multicultural team with exciting growth opportunities.
- Why this job: Make a real impact on students' learning with cutting-edge technology.
- Qualifications: Proven Data Science experience and strong coding skills in SQL and Python.
The predicted salary is between 50000 - 60000 £ 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 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 in London employer: EF Corporate Learning
Efekta is an exceptional employer that fosters a vibrant and multicultural work environment, where innovation and personal growth are at the forefront. With a strong emphasis on professional development, competitive salaries, and unique benefits like paid sabbaticals, we empower our Data Scientists to take ownership of their projects and make a meaningful impact on educational experiences. Join us in a fast-paced, results-driven atmosphere that values curiosity and entrepreneurial spirit, as we redefine online language learning through cutting-edge AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Efekta. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects, especially those involving AI and data science. Share it on platforms like GitHub and make sure to highlight how your work has made an impact.
✨Ace the Interview
Prepare for your interviews by practising common data science questions and case studies. Be ready to discuss your thought process and how you approach problem-solving. Remember, they want to see how you think!
✨Apply Through Our Website
Make sure to apply directly through our website! It shows you're genuinely interested in joining Efekta and gives us a chance to see your application in the best light. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Scientist in London
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 data science, and explain why you’re excited about the opportunity at Efekta. Let us know how you can contribute to transforming educational experiences.
Showcase Your Projects:If you've worked on any cool data science projects, make sure to mention them! Whether it's predictive models or innovative AI solutions, we love seeing real-world applications of your skills. Include links if possible!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. We can’t wait to hear from you!
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 around machine learning and AI. Be ready to discuss your past projects, the models you've built, and how they made an impact. Efekta is looking for someone who can translate complex problems into actionable solutions, so be prepared to showcase your problem-solving skills.
✨Get Familiar with Their Tech Stack
Efekta uses SQL, Python, and various machine learning frameworks like PyTorch and TensorFlow. If you have experience with cloud environments like AWS or GCP, make sure to highlight that. Knowing their tech stack will show that you're serious about the role and can hit the ground running.
✨Show Your Curiosity
Efekta values individuals who are curious about their clients' businesses. Prepare some questions about how their AI solutions are currently being used and think about how you could contribute to optimising those processes. This shows that you're not just interested in the job, but also in making a real impact.
✨Be Ready for a Fast-Paced Environment
Since Efekta thrives in a fast-moving environment, be prepared to discuss how you've adapted to changes in previous roles. Share examples of how you've iterated quickly on projects or tackled loosely defined problems. This will demonstrate that you can handle the dynamic nature of the job.
