At a Glance
- Tasks: Join our B2B Applied AI team to develop innovative data-driven product features.
- Company: Trustpilot, a high-growth FTSE-250 company focused on building trust.
- Benefits: Flexible working, competitive salary, 25 days holiday, and rich learning opportunities.
- Why this job: Make a real impact using cutting-edge AI and ML technologies.
- Qualifications: Experience in AI/ML model development and strong data engineering skills required.
- Other info: Diverse, inclusive workplace with excellent career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
At Trustpilot, we are on an incredible journey. We are a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world’s largest independent consumer review platform, and while we have come a long way, there is still so much exciting work to do. Come join us at the heart of trust!
Within our B2B Applied AI team, we are focused on leveraging AI and ML to transform data into value and create engaging product features to improve the experience of our users. That means you can empower product innovation to help our businesses build Trust, Growth and Improve with Trustpilot.
We are seeking a Senior Data Scientist to join our Applied AI team to develop intelligent, data-driven product features, and foundational models that serve our products. You will collaborate closely with a cross-functional team of software developers, product managers, designers, data analytics and ML engineers to develop, deploy and maintain innovative AI/ML models at scale.
You will be involved in delivering some of our most exciting Data Science projects aimed at improving our B2B SaaS product and Consumer website: from prediction to ranking, natural language processing to search, and recommendation systems to content generation and personalisation.
Great opportunity to make a real product impact by applying the state of the art in AI and ML. 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 product opportunities based on data, interpreting model outcomes and sharing insights to drive the direction of our Data Science work. You will engage with both technical and non-technical stakeholders and will translate product requirements into Data Science deliverables.
The opportunity to work with leading AI/ML model development and deployment tooling including GCP Vertex AI, GCP BigQuery, Airflow. Opportunities to work in a friendly, diverse, innovative, international team and workplace.
Who You Are
- Prior knowledge of NLP and Generative AI is a must.
- Proven experience in developing and deploying AI/ML models.
- You have a solid technical background, with hands-on ability in all stages of data preparation, exploration, modelling and deployment.
- You have an adaptable product mindset and knowledge of the interface between data science and engineering.
- The ability to engage stakeholders, clearly articulating the impact and reasons behind your work, in both a business and technical capacity.
- Experience with analytical and quantitative problem solving using advanced statistical techniques, machine learning and generative AI methods, e.g. sentiment and topic modelling, recommendation systems, content generation, forecasting & trend analysis.
- Experience in building and deploying production-ready ML models at scale, and solid data engineering skills (e.g. experience with GCP).
- Proven ability to deliver technical projects to a commercial organisation.
- Experience in building and deploying ML models at scale (ideally to support online services), and strong data engineering skills.
- Ability in Python and SQL for data manipulation, modelling and scripting.
- Experience in working with large datasets, ideally from tech platforms, e-commerce, or SaaS-type businesses.
- Experience in use of behavioural data to develop data-driven product features is a big plus.
- Proven technical experience in a Data Science role, preferably in the technology sector or in a technical consultancy.
- A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or related quantitative degree. Masters/PhD is preferred.
What’s in it for you?
- A range of flexible working options to dedicate time to what matters to you.
- Competitive compensation package + bonus.
- 25 days holiday per year, increasing to 28 days after 2 years of employment.
- Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community.
- Rich learning and development opportunities are supported through the Trustpilot Academy and Blinkist.
- Pension and life insurance.
- Health cash plan, online GP, 24/7 Employee Assistance Plan.
- Full access to Headspace, a popular mindfulness app to promote positive mental health.
- Paid parental leave.
- Season ticket loan and a cycle-to-work scheme.
- Central office location complete with all the snacks and refreshments you can ask for.
- Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials.
- Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts, and more.
Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status.
Senior Data Scientist (Applied AI) in London employer: Liviu Mesesan
Contact Detail:
Liviu Mesesan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (Applied AI) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals 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 projects, especially those related to AI and ML. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Get comfortable explaining your thought process and how you approach problem-solving, as this will help you stand out during technical interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our mission at Trustpilot.
We think you need these skills to ace Senior Data Scientist (Applied AI) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with AI/ML models and any relevant projects you've worked on. We want to see how your skills align with our mission at Trustpilot!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data science and how you can contribute to our vision of trust. Don’t forget to mention specific experiences that relate to the job description.
Showcase Your Technical Skills: We’re looking for solid technical expertise, so be sure to highlight your proficiency in Python, SQL, and any experience with GCP tools. Include examples of how you've applied these skills in real-world scenarios.
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 to join our team at Trustpilot!
How to prepare for a job interview at Liviu Mesesan
✨Know Your AI and ML Stuff
Make sure you brush up on your knowledge of NLP and Generative AI. Be ready to discuss specific projects where you've developed and deployed AI/ML models, as this will show your hands-on experience and technical prowess.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your analytical and quantitative problem-solving abilities. Use advanced statistical techniques and machine learning methods in your responses to demonstrate how you've tackled complex data challenges in the past.
✨Engage with Stakeholders
Practice articulating your work's impact to both technical and non-technical stakeholders. Being able to translate complex data science concepts into business value is crucial, so think of ways to explain your projects in simple terms.
✨Familiarise Yourself with Tools
Get comfortable with the tools mentioned in the job description, like GCP Vertex AI and BigQuery. If you can talk about your experience with these platforms or similar ones, it’ll show you're ready to hit the ground running.