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 pay, 25+ days holiday, and rich learning opportunities.
- Why this job: Make a real impact using cutting-edge AI and ML technologies.
- Qualifications: Experience in NLP, AI/ML model development, and strong data engineering skills required.
- Other info: Diverse, friendly team with excellent career growth and a vibrant office culture.
The predicted salary is between 43200 - 72000 £ 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’ve come a long way, there’s still so much exciting work to do. Come join us at the heart of trust!
Within our B2B Applied AI team, we’re focused on leveraging AI and ML to transform data into value and create engaging product features to improve the experience of our users. 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.
What you’ll be doing:
- 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.
- 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 & 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.
Who you are:
- Prior knowledge of NLP and Generative AI is a must.
- Proven experience in developing and deploying AI/ML models.
- You’ll have a solid technical background, with hands-on ability in all stages of data preparation, exploration, modeling 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 modeling, 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, modeling and scripting.
- Experience in working with large datasets, ideally from tech platforms, e-commerce, or SaaS-type businesses.
- Experience in use of behavioral 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 table tennis, a gaming corner, coffee bars and 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.
- Independent financial advice and free standard professional mortgage broker advice.
- Talent acceleration programs: Fast-track your career with our tailored development programs designed to support growth at whatever stage of your career.
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.
Senior Data Scientist (Applied AI) in London employer: Trustpilot, Inc.
Contact Detail:
Trustpilot, Inc. 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 current employees at Trustpilot on LinkedIn, and don’t be shy about asking for insights into the company culture or the role. A friendly chat can give you an edge and show your genuine interest.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since you’ll be working with AI and ML, make sure you can discuss your past projects confidently. Practice explaining complex concepts in simple terms – it’ll impress both technical and non-technical stakeholders!
✨Tip Number 3
Showcase your passion for data! During interviews, share examples of how you've used data to drive product innovation. Highlight any experience with NLP or generative AI, as these are key areas for the role at Trustpilot.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Trustpilot team and being part of our mission to build trust.
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 and ML, especially in NLP and Generative AI. We want to see how your skills align with our mission at Trustpilot!
Showcase Your Projects: Include specific examples of projects where you've developed and deployed AI/ML models. We love seeing real-world applications of your work, so don’t hold back on the details that show your impact!
Engage with Our Values: In your cover letter, connect your personal values with Trustpilot's mission to build trust. We’re all about collaboration and innovation, so let us know how you can contribute to our culture!
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 this exciting opportunity. Let’s get started on this journey together!
How to prepare for a job interview at Trustpilot, Inc.
✨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 of how you've tackled analytical and quantitative problems using advanced statistical techniques. Highlight your experience with recommendation systems or content generation, as these are key areas for the role.
✨Engage with Stakeholders
Practice explaining complex data science concepts in simple terms. You’ll need to communicate effectively with both technical and non-technical stakeholders, so think of ways to articulate the impact of your work clearly.
✨Familiarise Yourself with Tools
Get comfortable with GCP Vertex AI, BigQuery, and Airflow. If you can demonstrate familiarity with these tools during your interview, it’ll show that you’re ready to hit the ground running in the Applied AI team.