We’re the Moonpig Group – home to Moonpig, Greetz, Red Letter Days and Buyagift – and we’re on a mission to make people feel loved, celebrated and remembered. Whether it’s a card that gets them laughing out loud or a gift that makes their day, we help people stay close, no matter the miles.

We’re proud to be leading the online gifting revolution, with brilliant products, clever tech and a whole lot of heart. Our platform makes it easy to create moments that matter – packed with personal touches and delivered with care.

We’re not just about selling cards or gifts – we’re here to spread joy, spark smiles and make every celebration feel extra special. And with values that guide how we work and support one another, we’ve built a place where people (and ideas) can truly thrive.

If you’re looking to make an impact, bring your spark and be part of something meaningful – we’d love to have you on the team. 🌙🐷

Head of Research – 12 Month Maternity Cover | 📍London – Hybrid (2 days per week) | 💰Competitive Salary + Benefits

About the Role

We’re looking for an experienced Head of Research to join Moonpig on a 12 month maternity cover contract, working hybrid 2 days per week in the office. You will need to be available to join end of November - early December.

Research at Moonpig goes beyond understanding what customers think. We combine customer insight, behavioural data and commercial context to identify the problems that matter, uncover opportunities for growth and help the business make better decisions.

You’ll join an established Research function with a high performing team of three, and a clear strategy and roadmap already in place. This isn’t about starting from scratch. It’s about getting up to speed quickly, building strong relationships and keeping momentum behind the work that matters.

Over the 12 months, you’ll lead and develop the team, deliver our key research priorities, strengthen the Voice of the Customer and help more teams across Moonpig access and use quality research.

We’re looking for someone pragmatic, confident and focused on delivery. Someone who can turn customer understanding into action and make sure Research continues to have a meaningful impact on our customers and Moonpig’s growth.

Key responsibilities:

• Own and deliver the Research roadmap against Moonpig’s highest-priority customer and business questions, making clear decisions about where Research can have the greatest impact.
• Lead, coach and develop our Research team, creating clarity around priorities while maintaining engagement and quality.
• Continue building the team’s capability in new methods, technology and AI.
• Scale research capability across Moonpig, helping teams conduct appropriate research independently while maintaining a high bar for quality.
• Develop training, coaching, tools, templates and clear standards that make quality research easier to access across the business.
• Make customer insight more visible, accessible and influential, bringing customer evidence into strategic and day-to-day decisions.
• Continue evolving how we capture and share what we know about our customers, including exploring how AI can make insight easier to access and apply.
• Build trusted relationships with senior stakeholders across Moonpig and confidently represent the customer in senior conversations.
• Use customer evidence to identify opportunities, challenge assumptions and influence product, commercial and strategic decisions.
• Turn complex customer evidence into clear, actionable recommendations that help teams move forward.

About you:

• Significant experience in UX, Product, Customer or Consumer Research within a digital or product-led organisation.
• Experience supporting, coaching or developing research teams, with a collaborative and supportive approach.
• Strong track record of delivering research programmes and initiatives from idea through to implementation.
• Broad understanding of qualitative and quantitative research, with good judgement about the right level of research for the decision at hand.
• Ability to quickly understand an existing strategy and roadmap, identify what matters most and create momentum behind it.
• Strong project delivery skills, with a pragmatic and outcome-focused approach.
• Excellent communication and stakeholder-management skills, including confidence working with senior leaders.
• Strong customer focus and an ability to bring customer needs into business conversations and decisions.
• Strong synthesis and storytelling skills, turning complex evidence into simple, useful recommendations.
• Experience enabling and coaching non-researchers to conduct effective research while maintaining appropriate quality standards.
• Comfortable navigating ambiguity, making decisions and moving work forward.
• Curiosity about AI and emerging research technology, particularly how they can help researchers and organisations learn faster.
• A collaborative, approachable working style and the ability to build strong relationships across different teams.

Interview Process:

• Stage 1 - Recruiter Screening Call (30 mins)
• Stage 2 - Initial Conversation with hiring team (45 mins)
• Stage 3 - Presentation & Discussion (60 mins)

Our process may vary depending on role and availability. We keep candidates informed of any changes.

What’s in it for you?

We believe in empowering our team to do their best work. Enjoy:

💰 Competitive Pay & Bonuses: Plus, generous pension plans & staff discounts.

💆🏽 Wellbeing First: Private healthcare (UK) and mental health support

🏖️ Flexible Working & Time Off: Generous holidays, hybrid working (1-3 days in office, depending on role/team) & up to 20 days of international working.

📈 Career Growth: Learning allowances, coaching & development programs.

Want to know more?

Explore our full benefits package: here

Our Ways of Working:

We trust our colleagues to do what’s right and offer flexibility to support a balance between work and life. At the same time, face-to-face office time is an important and expected part of working at Moonpig Group. We believe regular in-person working supports collaboration, alignment, and effective decision-making. Candidates will have regular and ongoing time working from the office as part of their role, which will be discussed during the recruitment process.

Moonpig Group’s Commitment to Equality, Diversity, and Inclusivity:

At Moonpig Group, we’re all about creating a workplace where everyone feels they truly belong. We celebrate what makes each of us unique, whether that’s our background, how we work best, or what matters most to us.

From working parents who need flexible hours to neurodiverse colleagues with specific working styles, we’re here to support our people in ways that work for them. Because when you feel valued and included, you can thrive, and so can we.

We’re proud to have a number of employee-led groups driving this forward, including our LGBTQ+, Gender Balance, Neurodiversity and EMBRACE (Educating Myself for Better Racial Awareness and Cultural Enrichment) communities, plus our Group-wide EDI committee. These teams help make sure every voice is heard and every idea has a place.

We know that diversity fuels creativity, innovation and connection, and that’s why we’ll keep pushing for progress. Together, we’re building a culture where everyone feels safe, supported, and free to be their brilliant, authentic selves.

If you have a preferred name, please use it to apply and share your pronouns if you are comfortable to do so😊 - If you have any reasonable adjustment requests throughout the interview process please let us know on your application or speak to the Recruiter.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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This is an exciting opportunity to lead and grow the Data Science and Bioinformatics function supporting Natera’s Women’s Health and Organ Health product portfolios. In this role, you will build...

This is an exciting opportunity to lead and grow the Data Science and Bioinformatics function supporting Natera’s Women’s Health and Organ Health product portfolios. In this role, you will build...

Realize your potential by joining the leading performance-driven advertising company!

As a Team Leader on the Bidding Strategies Algo team in our TLV Office, you’ll play a vital role in shaping how Advertisers bid in real-time auctions at massive scale. You will lead the optimization of our existing bidding strategies and the design of new ones, formulating bidding problems mathematically, applying control-theoretic methods, and analyzing the complex dynamics of a closed-loop. By guiding team members and partnering closely with engineering, you’ll turn theoretical insights into robust production solutions. Your work will directly influence advertiser ROI efficiency across thousands of advertisers.

To thrive in this role, you’ll need:

• Advanced academic training (MSc/PhD) with strong grounding in applied mathematics, optimization, control theory, or a related quantitative field
• Strong Algorithmic Problem-Solving Experience (6+ years), and 2+ years of Managerial or Technical Leadership Experience
• Production-Grade Algorithm Engineering Experience
• Experience Driving Measurable Business Impact Through Algorithmic Improvements
• Experience interfacing effectively with engineering teams to deliver complex algorithms into production
• Experience leveraging agent-based coding tools to accelerate development, experimentation, and code quality

Bonus points if you have:

• Experience with Real-Time Bidding, Auction Theory

How you’ll make an impact:

• Lead the optimization of Taboola’s existing bidding strategies
• Design and deliver new bidding strategies end-to-end into production
• Drive deep analysis of complex dynamics and closed-loop feedback effects
• Partner closely with engineering teams to deliver robust, scalable systems
• Lead and develop algorithm engineers
• Play a part of Taboola’s tech organization’s growth in the agentic development era

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

Adam Singolda, Taboola Founder and CEO says:

“You can copy anything from another business but you can’t copy a company’s culture.”

Well-being: Enjoy comprehensive benefits and well-being programs tailored to the region, a fully stocked kitchen, and location-specific perks.

Flexibility: We offer a hybrid work schedule with 3 days in-office, with an option to come in more often if desired.

Work with some of the biggest names: Our publisher partners include Yahoo, Condé Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

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About Us:

TMB is the community-driven entertainment company engaging more than 250 million consumers worldwide across streaming TV, social media, web, and print. Our portfolio of brands including FailArmy, Family Handyman, People Are Awesome, Reader’s Digest, Taste of Home, The Healthy, and The Pet Collective, is powered by content that’s inspired and created by our fans. Together our community sparks curiosity, fuels laughter, and inspires people to live big, full, fantastic lives. Learn more about our brands, our data-driven marketing solutions, our award-winning licensing services, and much more at trustedmediabrands.com.

Location:

We have offices in New York, Los Angeles, Milwaukee, and Gurgaon. This position will be based in the United States and can work remotely.

About the role:

TMB is looking for a Director of Data Science & AI to lead the team and efforts to turn data into decisions, deliver scalable intelligence that drives personalized experiences and business outcomes, and lean into AI and Automation where it makes sense. You understand how business users think, what friction looks like in real workflows, and how to communicate technical solutions in ways that land with non-technical users.

Your primary mission is to bridge the gap between what’s technically possible and what’s practically useful. This is a hands-on leadership role: you’ll set the technical direction, but you’ll also be in the data, in the model reviews, and building alongside your team when it counts.  We need someone fluent in Google Cloud Platform (BigQuery, Vertex AI, and broader GCP ecosystem), has strong data science capabilities and the grit to take ideas from research to production.

You are a fast learner who is comfortable in ambiguity, energized by solutioning, and motivated by seeing your work drive real adoption across the organization. You’ll spend your time championing smarter ways of working and helping both technical and non-technical teammates integrate AI into their everyday work, not as a disruption, but as a natural extension of how they already operate.

Your day-day: (aka Responsibilities)

• Own the data science roadmap for the organization from core statistical modeling and experimentation forecasting, segmentation and applied AI where it adds real business value
• Lead, mentor, and stay hands-on with a small team of data scientists: writing code and reviewing methodology, not just roadmaps
• Oversee the design of robust, production-grade solutions utilizing core cloud systems, vector databases, and agentic workflows
• Champion the adoption and continuous improvement of AI development tools across technical teams
• Scale MLOps/LLMOPs practices, ensuring data observability, governance, model safety, and ethical AI compliance
• Collaborate cross-functionally with Business Intelligence, Data Engineering, Analytics Engineering, Development, and Product teams to drive technical innovation, prioritize initiatives, ship MVPs fast and iterate based on usage data
• Design and run rigorous experiments to validate hypotheses and guide business decisions
• Translate statistical and technical work into business language for executive stakeholders and make the case for where data science investment should go next
• Define success metrics for internal tools and AI initiatives, and track adoption, usage, and business impact over time
• Document tools, workflows, and best practices to scale impact beyond individual engagements
• Stay informed on industry trends, viral content, and emerging platforms to identify new opportunities

You have: (aka Qualifications)

• 7+ years in data science, including leading or managing a technical team
• Strong foundation in core data science
• Deep, hands-on fluency in Google Cloud Platform: BigQuery, Vertex AI, and building/deploying production models in a GCP environment
• Proficiency deploying custom Gemini Enterprise Agents via Agent Engine
• Fluency in AI tools such as Claude, CoPilot and ChatGPT
• Strong Python and SQL skills and experience in applied AI
• A bias for action

About this team:

The Data Science team is a small but mighty group sitting at the center of the organization. We’re a centralized team, which means we work across nearly every department: from Marketing and Creative to BI, Engineering, Product, and beyond. If there’s a workflow to improve, a tool to build, or a data problem worth solving, chances are we’re involved.

Our work is practical by design. We build internal tools and data products that make real work easier, not to chase trends, but because the right solution at the right moment can meaningfully change how an entire team operates. We use AI where it genuinely helps, and we’re skeptical of hype for its own sake. That pragmatic instinct is part of what makes us effective.

As a team, we move fast and stay scrappy. We’re not a big org with lengthy approval chains. We prototype, iterate, and ship. We collaborate constantly, both within the team and across the business, and we’re at our best when we’re working alongside stakeholders to understand their problems firsthand rather than solving in a vacuum.

If you’re joining us, you’re joining a team that values curiosity, initiative, and craft. Our team genuinely believes the most impactful data work happens when technical depth meets real business context.

Our Benefits:

We value our people and offer a collaborative and engaging culture. As a Trusted Media Brands employee, you will enjoy work/life balance, generous time off and comprehensive benefits and programs. Learn more about what life is like working at Trusted Media Brands at https://www.trustedmediabrands.com/careers/.

Trusted Media Brands embraces inclusivity and values our diverse community. We are committed to building a team based on qualifications, merit and business need. We are proud to be an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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