At a Glance
- Tasks: Develop and deploy AI/ML models to enhance pricing and revenue strategies.
- Company: Join a dynamic team at the forefront of AI and data science innovation.
- Benefits: Competitive salary, career development, and a collaborative international environment.
- Other info: Work with cutting-edge technologies and diverse teams for exciting career growth.
- Why this job: Make a real impact by leveraging data to drive business success.
- Qualifications: Experience in AI/ML, Python, SQL, and working with large datasets.
The predicted salary is between 50000 - 70000 £ per year.
To succeed in this role, you should have proven experience in developing and deploying AI/ML models to enhance commercial practices. You have a solid technical background, with hands-on ability in all stages of data preparation, exploration, and modeling. You must have an adaptable commercial mindset and knowledge of the interface between data science and engineering. The ability to develop AI/ML solutions, engage stakeholders, and clearly articulate the impact of your work is necessary for this role.
Experience putting solutions into production within an interdisciplinary team is a big plus, and it will be ideal if you also have experience using AI and ML to solve pricing and revenue management problems. Experience with analytical and quantitative problem solving using advanced statistical techniques and machine learning methods, e.g. Attribution, Segmentation, Churn, Upgrade, Upsell, Pricing Optimisation, and LTV. Experience in building and deploying production-ready ML models, and solid data engineering skills (e.g. experience with cloud technologies – we use GCP, but experience with AWS is also relevant).
Ability in Python and SQL for data manipulation, modelling, and scripting. You have experience working with large datasets. Knowledge of the data generated by websites or in the e-commerce sector, behavioural analytics, and experience working with data from commercial systems (e.g. Salesforce) is advantageous. Knowledge of data pipelining and prior experience with cloud-based ML model deployments are beneficial. Great communication skills – both with technical colleagues and with business stakeholders. Proven technical experience in a Data Science role, particularly in the technology sector or in a technical consultancy.
Our Data Scientists in the GTM Applied AI team leverage this data to build AI/ML models that improve our go-to-market (GTM) efficiency and enhance our pricing and revenue management strategy. We are seeking a skilled Data Scientist to join our GTM Applied AI team to develop, deploy, and maintain our GTM and Pricing models. You will collaborate closely with our pricing and monetization squad and team of software developers, data analysts and ML engineers to develop, deploy, and maintain innovative AI/ML models at scale.
You will be part of a unique journey where data, AI, and ML are at the heart of our product and company strategy. This role offers the opportunity to collaborate broadly across the business, including with our Commercial, Digital Sales, and Applied AI teams, in both B2B and B2C contexts. You will be involved in delivering some of our most exciting Data Science projects aimed at improving our GTM efficiency and pricing practices: from prediction to ranking, segmentation to NLP, and recommendation systems to content generation.
You will deliver the Data Science component of key strategic initiatives, including owning, maintaining, and deploying production-ready ML/AI models, and analysing data to establish the scope and impact of your work. You will identify new pricing and monetisation opportunities based on data, interpreting model outcomes, and share insights to drive the direction of our business goals. You will engage with both technical and non-technical stakeholders and will translate business requirements into Data Science deliverables.
The opportunity to work with leading data engineering technologies, including Google Vertex AI tools, Google BigQuery, BigQuery Pipelines, and Airflow, with leading Data Science tools and emerging technologies for model building and deployment. Opportunities to develop your career in a friendly, diverse, innovative, international team and workplace.
Data Scientist (Applied Artificial Intelligence, Go-To-Market, 12-Months Fixed Term) in London employer: Trustpilot
Join our dynamic team as a Data Scientist in the Applied AI sector, where you'll have the chance to work with cutting-edge technologies and collaborate with diverse teams across the business. We pride ourselves on fostering a culture of innovation and inclusivity, offering ample opportunities for professional growth and development in a supportive environment. With a focus on impactful projects that enhance our go-to-market strategies, this role promises a rewarding experience in a forward-thinking company.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Applied Artificial Intelligence, Go-To-Market, 12-Months Fixed Term) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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 AI/ML projects, especially those that relate to pricing and revenue management. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Be ready to explain complex data science concepts in simple terms, as you'll need to engage with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Data Scientist (Applied Artificial Intelligence, Go-To-Market, 12-Months Fixed Term) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with AI/ML models, data preparation, and any relevant projects you've worked on. We want to see how you can bring value to our team!
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 your background aligns with our goals at StudySmarter. Don’t forget to mention specific examples of your work in AI/ML and how it relates to pricing and revenue management.
Showcase Your Technical Skills:We’re looking for solid technical abilities, so make sure to highlight your proficiency in Python, SQL, and any cloud technologies you’ve used. If you’ve deployed production-ready ML models, share those experiences to demonstrate your hands-on expertise!
Engage with Us:When applying, feel free to express your enthusiasm for collaborating with our interdisciplinary teams. Show us that you can communicate effectively with both technical and non-technical stakeholders. Remember, we love seeing candidates who are excited about working together!
How to prepare for a job interview at Trustpilot
✨Know Your AI/ML Models Inside Out
Make sure you can discuss your experience with developing and deploying AI/ML models in detail. Be ready to explain the technical aspects, the challenges you faced, and how you overcame them. This will show your hands-on ability and solid technical background.
✨Show Off Your Commercial Mindset
Prepare examples of how you've used data science to enhance commercial practices. Think about specific instances where your work directly impacted pricing or revenue management. This will demonstrate your adaptable mindset and understanding of the business side of data science.
✨Communicate Like a Pro
Practice articulating complex technical concepts in simple terms. You’ll need to engage with both technical colleagues and business stakeholders, so being able to translate your work into clear insights is crucial. Consider role-playing with a friend to refine your communication skills.
✨Familiarise Yourself with the Tools
Brush up on your knowledge of cloud technologies like GCP and AWS, as well as tools like Google Vertex AI and BigQuery. Being able to discuss your experience with these technologies will show that you're ready to hit the ground running in this role.
