At a Glance
- Tasks: Develop and deploy AI/ML models to enhance pricing and go-to-market strategies.
- Company: Join Trustpilot, a high-growth FTSE-250 company on a mission to build trust.
- Benefits: Flexible working, competitive salary, 25+ days holiday, and rich learning opportunities.
- Other info: Collaborate with diverse teams and enjoy 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 AI/ML model development and strong skills in Python and SQL.
The predicted salary is between 63000 - 77000 £ per year.
At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer 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!
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 - and that is growing! - 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.
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 modelling. 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.
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 & 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 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. 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. Together, we are the heart of trust.
Data Scientist - Applied AI (Go-To-Market) 12 Months Fixed Term employer: Trustpilot, Inc.
At Trustpilot, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation in the heart of Central London. With a hybrid work setup, competitive compensation, and a strong focus on employee development through our Trustpilot Academy, we empower our team to thrive while making a meaningful impact on customer success. Our commitment to inclusivity and well-being is reflected in our comprehensive benefits package, including generous holiday allowances, volunteering days, and access to wellness resources, ensuring that every Trustie feels valued and supported.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Applied AI (Go-To-Market) 12 Months Fixed Term
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Trustpilot, Inc. before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
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We think you need these skills to ace Data Scientist - Applied AI (Go-To-Market) 12 Months Fixed Term
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Trustpilot, Inc., make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Trustpilot, Inc., emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Trustpilot, Inc.’s attention and show the tangible impact of your work.
How to prepare for a job interview at Trustpilot, Inc.
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Trustpilot, Inc..
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Trustpilot, Inc..
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Trustpilot, Inc..
