At a Glance
- Tasks: Join our team to develop AI/ML models that enhance pricing and go-to-market strategies.
- Company: Trustpilot, a high-growth FTSE-250 company on a mission to build trust.
- Benefits: Flexible working, competitive pay, 25+ days holiday, and wellness support.
- Other info: Join a diverse team with excellent career growth opportunities and a vibrant workplace culture.
- Why this job: Be at the forefront of data science, making a real impact in a dynamic environment.
- Qualifications: Experience in data science, machine learning, Python, and SQL is essential.
The predicted salary is between 50000 - 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!
This is a Fixed-Term Contract (FTC) for a duration of 12 months. From reviews to user behaviours to internal systems, at Trustpilot, we truly have big data. Every month, more than half a million new reviews are posted on Trustpilot for thousands of businesses. We have now reached 267 million reviews from consumers around the world.
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 monetisation 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.
What you’ll be doing:
- 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.
Who you are:
- 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.
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.
We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. We’re excited to hear about your experiences along with how you will contribute to our working culture. Even if you don’t feel you meet all the requirements, we’d still really like to hear from you! 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.
Data Scientist - Applied AI (Go-To-Market) 12 Months Fixed Term employer: Trustpilot
At Trustpilot, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters creativity and collaboration. As a Senior Video Producer, you'll have the opportunity to lead impactful projects in our dynamic London office, surrounded by a talented team that values innovation and personal growth. With a commitment to employee development and a focus on producing high-quality content, Trustpilot is the perfect place for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Applied AI (Go-To-Market) 12 Months Fixed Term
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Trustpilot on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about your experience with Python, SQL, and ML models. We want to see how you can apply your knowledge to real-world problems!
✨Tip Number 3
Show off your passion for data! During interviews, share specific projects where you've used data to drive decisions or improve processes. This will help us see how you think and how you can contribute to our mission.
✨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 genuinely interested in joining our team at Trustpilot.
We think you need these skills to ace Data Scientist - Applied AI (Go-To-Market) 12 Months Fixed Term
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role at Trustpilot. Highlight your experience with AI/ML models, data engineering skills, and any relevant projects that showcase your analytical prowess.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your skills align with Trustpilot's mission. Don't forget to mention your experience with large datasets and cloud technologies!
Showcase Your Communication Skills:Since you'll be working with both technical and non-technical teams, it's crucial to demonstrate your communication skills. In your application, give examples of how you've successfully translated complex data insights into actionable business strategies.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensure it gets the attention it deserves. Plus, you’ll find all the details you need about the role there!
How to prepare for a job interview at Trustpilot
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning techniques and statistical methods. Be ready to discuss your experience with building and deploying production-ready ML models, especially in the context of pricing optimisation and segmentation.
✨Showcase Your Collaboration Skills
Trustpilot values teamwork, so be prepared to talk about how you've worked with both technical and non-technical stakeholders. Share examples of how you've translated business requirements into data science deliverables, as this will demonstrate your ability to bridge the gap between tech and business.
✨Familiarise Yourself with Their Tools
Get to know the tools mentioned in the job description, like Google Vertex AI and BigQuery. If you have experience with cloud technologies, especially GCP or AWS, make sure to highlight that during your interview.
✨Communicate Clearly
Great communication is key! Practice explaining complex data concepts in simple terms. This will help you connect with your interviewers and show that you can effectively share insights with diverse teams.
