At a Glance
- Tasks: Lead a dynamic Data Science team to innovate AI/ML solutions and enhance learning experiences.
- Company: Join Preply, a global leader in online tutoring and language learning.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on personalisation and real-time capabilities.
- Why this job: Make a real impact by shaping the future of AI in education.
- Qualifications: 3-4 years in machine learning, strong Python and SQL skills, and a passion for data.
The predicted salary is between 60000 - 80000 £ per year.
About Preply
At Preply, we are unlocking human potential through learning. We believe learning with a great tutor is life‑changing. That’s why we match online tutors from across the globe with learners and empower them to create live language classes with AI‑powered tools and learning materials. This is how we deliver progress, create engagement and keep our global community of learners motivated. So far, over 32,000 tutors have given more than 15 million lessons to learners from over 175 countries.
Meet the team!
The Data Chapter drives Preply to make the best decisions for our business, learners and tutors, by building a data‑driven organization and the best data products. We leverage a mature data‑ecosystem, built with state‑of‑the‑art technologies. As Data Managers, we are deeply involved in people, business, products, marketing, and technologies. In partnership with product managers, we look for business opportunities and take them to bring the company to the next level.
Two Data Scientists will report to this position. Due to the small team size and specific focus, this role will be strongly hands‑on, at first. The right candidate should be able to set a clear strategy for the algorithm and actively work on its implementation. Over time, this team is expected to extend their scope beyond the ranking algorithm into additional AI/ML applications, establishing a framework for the entire organization. They are expected to chart the path to personalisation and real‑time capabilities, enabling AI/ML at scale, by implementing an ML Ops strategy in close partnership with the Data Strategy and Platform teams.
What You’ll Be Doing
- Hire, scale and nurture a Data Science team. Define a long‑term vision and set them up for success. Keep them motivated by achieving an optimal balance between achievement and challenge.
- Setting a clear strategic direction for the ranking algorithm and AI/ML at scale;
- Building end‑to‑end ML solutions that drive tangible business impact;
- Designing and analyzing AB experiments to improve model performance and user experience;
- Conducting in‑depth data analysis to extract meaningful insights and drive data‑informed improvements on the ranking model;
- Writing production code and developing pipelines when it is needed;
- Collaborating closely with software engineers to understand system constraints and deliver effective solutions;
- Working closely with product teams to identify user needs and leverage ML solutions to enhance the learning experience for both learners and tutors.
- Work closely with our Data Strategy team to define standard methodology, tools and best practices for your team.
What You Need To Succeed
- Minimum 3-4 years of previous experience as a Product Data Scientist focused on machine learning products, leading an ML/Data Science team or a similar role.
- Having a solid understanding of machine learning techniques, including linear regression, logistic regression, decision trees, random forests, gradient boosting;
- Demonstrating proficiency in Python and SQL, with prior experience in ML frameworks such as sklearn, pandas, numpy, xgboost, lightgbm, etc.;
- Experience and/or interest in extracting insights, identifying patterns, and uncovering trends from large datasets;
- Exhibiting strong curiosity, problem‑solving skills, and the ability to identify and address underlying problems;
- Bachelor's degree in a relevant technical field;
- Possessing strong written and verbal communication skills in English.
Nice To Have
- Experience in Marketplaces and/or digital businesses (B2B, B2C, B2B2C);
- Experience in the areas of ranking or recommender systems;
- Masters degree or PhD in a quantitative field;
- Ability to apply statistical techniques to derive meaningful insights and make data‑driven decisions;
- Experience with Databricks environment and Spark.
Senior Manager - Machine Learning in London employer: Preply
At Preply, we are committed to fostering a dynamic and inclusive work environment where innovation thrives. As a Senior Manager in Machine Learning, you will have the opportunity to lead a talented team, driving impactful AI solutions that enhance learning experiences for our global community. With a strong emphasis on professional growth, collaboration, and cutting-edge technology, Preply offers a unique workplace culture that empowers employees to unlock their full potential while making a meaningful difference in education.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager - Machine Learning in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Preply. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your machine learning projects. This is your chance to demonstrate how you can drive tangible business impact.
✨Tip Number 3
Get ready for the interview! Research Preply’s mission and values, and think about how your experience aligns with their goals. Be prepared to discuss your vision for AI/ML at scale.
✨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 team.
We think you need these skills to ace Senior Manager - Machine Learning in London
Some tips for your application 🫡
Show Your Passion for Learning:When you write your application, let your enthusiasm for learning and teaching shine through. We love candidates who are excited about the impact of education and how AI can enhance that experience.
Highlight Your Hands-On Experience:Make sure to showcase any hands-on experience you've had with machine learning projects. We want to see how you've tackled real-world problems and what strategies you've implemented to achieve success.
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to describe your skills and experiences, so we can easily see how you fit into our team and contribute to our goals.
Apply Through Our Website:Don't forget to apply 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 serious about joining our team!
How to prepare for a job interview at Preply
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning techniques, especially the ones mentioned in the job description like linear regression and decision trees. Be ready to discuss how you've applied these in real-world scenarios, as this will show your hands-on experience.
✨Showcase Your Leadership Skills
Since this role involves managing a Data Science team, be prepared to talk about your leadership style. Share examples of how you've motivated teams in the past and how you plan to nurture talent within your new team at Preply.
✨Prepare for Technical Questions
Expect some technical questions around Python, SQL, and ML frameworks like sklearn and pandas. Practise coding problems or data analysis scenarios that could come up during the interview to demonstrate your proficiency.
✨Understand Preply's Mission
Familiarise yourself with Preply's mission of unlocking human potential through learning. Think about how your skills in AI/ML can enhance the learning experience for both tutors and learners, and be ready to share your ideas on this during the interview.
