At a Glance
- Tasks: Lead AI experimentation programmes and design testing frameworks for innovative customer experiences.
- Company: Dynamic digital agency working with a major telco client.
- Benefits: Competitive daily rate, hands-on experience, and opportunity to shape AI products.
- Other info: Exciting role with potential for significant impact on customer experience.
- Why this job: Be at the forefront of AI innovation and enhance customer journeys.
- Qualifications: Experience in CRO, product experimentation, and familiarity with feature-flagging platforms.
The predicted salary is between 60000 - 80000 £ per year.
This is a unique opportunity to shape how AI-powered customer experiences are tested and deployed at scale. Working within a leading digital agency environment on behalf of a major telco client, you will help define and deliver experimentation frameworks for a new generation of AI products, ensuring innovation improves customer outcomes and commercial performance.
The Company
They are a well-established data, digital and customer experience consultancy that partners with large enterprise organisations to deliver experimentation, optimisation and AI-driven transformation programmes. As AI products become a larger part of the customer journey, they are investing in robust experimentation practices to ensure new features deliver measurable value. This engagement sits at the forefront of AI experimentation, product optimisation and customer experience.
The Role and Deliverables
- Lead the hands-on delivery of experimentation programmes for AI-powered customer products and features
- Design, build and implement testing frameworks for conversational AI, recommendation engines and other AI-driven experiences
- Manage controlled feature rollouts using LaunchDarkly or a similar feature-flagging platform, ensuring customer experience and conversion performance are protected
- Define experiment design, audience targeting and success metrics to assess the commercial impact of AI product changes
- Instrument experiments, tracking and event schemas to capture meaningful behavioural and performance data
- Work closely with product, analytics and delivery teams to evaluate AI variants, customer journeys and feature performance in production environments
Your Skills & Experience
- Strong hands-on experience designing and running experiments in live production environments
- Practical experience with LaunchDarkly or a comparable feature-flagging platform
- Expertise using experimentation and optimisation platforms such as Adobe Target, Optimizely or similar
- Experience rolling out digital products or features through a structured experimentation process
- Ability to evaluate the impact of customer-facing features on conversion, engagement and commercial outcomes
- Experience implementing analytics tracking, event instrumentation and experiment measurement frameworks
- Comfortable working with AI-powered products, conversational experiences, recommendation engines or LLM-driven features
- Strong understanding of CRO principles alongside product experimentation methodologies
- Ability to think strategically about how AI changes traditional experimentation approaches and customer journeys
How to Apply
If you have a background in CRO, product experimentation or growth engineering and are excited by the challenge of measuring and optimising AI-powered customer experiences, please apply with your CV.
CRO & AI Experimentation Engineer (Contract) in Slough employer: Harnham
Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.
StudySmarter Expert Advice🤫
We think this is how you could land CRO & AI Experimentation Engineer (Contract) in Slough
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We think you need these skills to ace CRO & AI Experimentation Engineer (Contract) in Slough
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Harnham, 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.
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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 Harnham, 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 Harnham’s attention and show the tangible impact of your work.
How to prepare for a job interview at Harnham
✨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 Harnham.
✨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.
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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 Harnham.
✨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 Harnham.
