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Senior Data Scientist (ML / Recommender Systems Focus)

Amsterdam (Hybrid, 3 days per week)

80,000 – 100,000

Are you a Senior Data Scientist who enjoys solving complex commercial problems through machine learning? This is an opportunity to join a growing technology business where recommendation systems sit at the heart of the product strategy. You’ll have significant ownership, influence ML direction, and work closely with stakeholders to build solutions that deliver measurable business impact.

The Company

This growing fintech business operates in a fast-paced, data-driven environment, using machine learning to improve customer experiences and commercial outcomes. With a collaborative culture and a highly visible data function, they are investing in their data science capability to support continued growth. You will join a small, talented team where your work will have a direct impact on products, customers, and business performance.

The Role

You will play a key role in designing, building, and improving recommendation and personalisation systems while helping shape the future of machine learning within the business.

Responsibilities include:

• Building and enhancing recommendation engines and ranking models
• Developing machine learning solutions from problem definition through to deployment
• Applying classification and ensemble modelling techniques to solve business challenges
• Collaborating with stakeholders to understand commercial objectives and translate them into scalable ML solutions
• Driving experimentation and optimisation across personalisation initiatives
• Supporting the growth and maturity of the data science function
• Contributing to the adoption of machine learning approaches that replace manual or rules-based processes
• Working with cloud-based technologies and modern machine learning tooling

Your Skills & Experience

• Strong commercial experience in machine learning and data science
• Proven experience building recommendation engines, recommender systems, or personalisation platforms
• Strong Python development skills
• Experience delivering production-ready machine learning solutions
• Expertise in classification modelling and predictive analytics
• Ability to translate business problems into practical technical solutions
• Commercial mindset with strong stakeholder engagement skills
• Experience working within collaborative, fast-moving environments
• Comfortable taking ownership and operating with a high degree of autonomy

Desirable experience includes:

• Ranking and recommendation algorithms
• AWS
• Language models and NLP applications
• Startup or scale-up environments
• Personalisation and customer experience optimisation

What They Offer

• Salary of 80,000 – 100,000
• Hybrid working model with three office days per week in Amsterdam
• High-impact role with significant ownership and visibility
• Opportunity to influence machine learning strategy and technical direction
• Exposure to challenging recommendation and personalisation problems
• Collaborative team environment with strong growth potential
• Excellent career development opportunities as the business scales

How to Apply

If you are an experienced Senior Data Scientist with expertise in machine learning and recommender systems, apply today to learn more about this opportunity.

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Data Scientist (Advanced Analytics)

London / Hybrid (2 days per week) | Up to £65,000

We are partnering with a leading UK data and analytics organisation to recruit a Data Scientist into its growing Data Science team.

The business combines proprietary data, analytical expertise and advanced modelling capabilities to help organisations better understand their customers, predict behaviours and make more informed decisions.

The Role

As a Data Scientist, you will develop and implement predictive models to solve a range of client challenges, with a particular focus on propensity modelling, customer segmentation and behavioural analytics.

Working alongside industry specialists, project managers and data analysts, you will be involved throughout the project lifecycle, from understanding client requirements and exploring data through to model development, training and presenting findings.

Key responsibilities will include:

• Developing predictive models and statistical solutions to address client challenges.

• Building and refining propensity models, customer scorecards and segmentation models.

• Analysing complex datasets to identify trends, patterns and actionable insights.

• Working with stakeholders to understand business requirements and participate in data discovery sessions.

• Training, testing and optimising models to improve performance and accuracy.

• Translating analytical findings into clear recommendations and presenting these to clients.

• Working collaboratively with Data Analysts, Project Managers and subject matter experts.

The Ideal Candidate

We are looking for a commercially minded Data Scientist with strong analytical capabilities and an interest in applying data science to real-world business problems.

You will ideally have:

• Strong commercial experience in a Data Science or Predictive Analytics role.

• Excellent Python and SQL skills.

• Experience developing predictive models, particularly propensity or behavioural models.

• A good understanding of statistical modelling, machine learning and data analysis techniques.

• Experience working with large and complex datasets.

• The ability to communicate technical findings to non-technical stakeholders.

• Confidence presenting insights and engaging directly with clients.

Desirable: Experience with Databricks and Azure cloud environments.

The Opportunity

You’ll join an established Data Science function within a well-regarded data and analytics business, working across a diverse client base and a variety of interesting modelling projects.

The role offers a blend of hands-on technical development, analytical problem-solving and client interaction, providing the opportunity to develop your modelling expertise while seeing the direct impact of your work.

Location: London – hybrid, typically 2 days per week in the office. Flexibility may be considered for candidates based further north.

Salary: Up to £65,000.

For a confidential discussion, please get in touch.

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Senior Director, Data & Analytics

London | Up to £160,000 + benefits

We are partnering with a leading international organisation to appoint a Senior Director of Data & Analytics to lead its data, analytics and AI strategy.

This is a senior leadership opportunity to shape and deliver a business-wide transformation agenda, driving greater use of data, advanced analytics and emerging technologies to improve decision-making, enhance operational performance and deliver commercial value.

Reporting directly to the COO, you will lead a team of approximately 18, overseeing data, analytics, business intelligence, strategic insights and advanced analytics capabilities.

The Role

You will be responsible for defining and executing the organisation’s data and analytics strategy, ensuring capabilities continue to evolve in line with business priorities.

Key areas of responsibility will include:

• Data & Analytics Strategy: Develop and deliver the strategic roadmap for data, analytics and AI, ensuring alignment with wider business objectives.

• Business Intelligence & Insights: Drive greater adoption of analytics, enabling data-led decision-making and translating complex information into actionable business insights.

• AI & Advanced Analytics: Identify and deliver opportunities to leverage AI, machine learning, automation and predictive analytics to improve business performance.

• Commercial Analytics: Develop analytical capabilities that support commercial decision-making, performance optimisation and strategic planning.

• Risk & Predictive Analytics: Enhance organisational insight through predictive modelling, scenario analysis and improved data visibility.

• Leadership & Transformation: Lead and develop a multidisciplinary team, building strong relationships and influencing senior stakeholders across a complex, international organisation.

The Ideal Candidate

We are looking for an experienced data and analytics leader who combines strategic vision, strong analytical expertise and commercial awareness.

You will ideally bring:

• Proven experience leading data, analytics, business intelligence or advanced analytics functions.

• Experience managing multiple teams and delivering large-scale transformation programmes.

• A strong understanding of AI, machine learning and the application of emerging technologies within a commercial environment.

• The ability to translate complex data into meaningful business insights and influence executive-level decisions.

• Experience operating within large, complex or matrixed organisations.

• A track record of developing and executing enterprise-wide data and analytics strategies.

A strong background in analytics, business intelligence, strategic insights or data science would be particularly attractive, alongside the ability to connect technology and data capabilities with wider business outcomes.

The Opportunity

This is an opportunity to take ownership of a significant data, analytics and AI transformation agenda, helping shape the future direction of an international business.

You will have the opportunity to influence at executive level, lead an established team and drive meaningful change in how data and technology are used to support business performance.

Location: London
Salary: Up to £160,000 + benefits

For a confidential discussion, please get in touch.

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SRE Staff

Paris (Hybride) | 90 000 € à 110 000 € + Bonus trimestriel

Vous souhaitez rejoindre une entreprise technologique en forte croissance où les enjeux d’infrastructure sont au cœur de la stratégie produit ? Ce poste de Staff Site Reliability Engineer offre l’opportunité de travailler sur une plateforme à fort trafic, tout en jouant un rôle clé dans les décisions techniques, l’architecture et l’accompagnement des équipes.

L’Entreprise

Cette entreprise technologique connaît une croissance soutenue et investit fortement dans la scalabilité et la fiabilité de sa plateforme. Son environnement technique traite un volume important de requêtes chaque jour et fait face à des défis croissants liés à la performance, à la disponibilité des services et à l’optimisation des coûts cloud.

Dans le cadre du renforcement de son équipe Infrastructure, elle recrute plusieurs profils seniors afin d’accompagner ses ambitions de croissance et l’évolution de sa plateforme.

Le Poste

En tant que Staff Site Reliability Engineer, vous serez un référent technique au sein de l’équipe Infrastructure. Vous combinerez expertise technique, accompagnement des équipes et influence sur les orientations stratégiques de la plateforme.

Vos principales responsabilités incluront :

• Concevoir et faire évoluer une infrastructure cloud performante, scalable et résiliente sur AWS
• Améliorer la disponibilité, la fiabilité et la performance des systèmes critiques
• Travailler étroitement avec les équipes Engineering pour garantir la stabilité et la qualité des plateformes en production
• Définir et contribuer à la roadmap technique de l’environnement infrastructure
• Participer aux choix d’architecture et aux projets de transformation de la plateforme
• Développer et optimiser les pipelines CI/CD ainsi que les processus d’automatisation
• Accompagner le déploiement et l’évolution des environnements Kubernetes et Terraform
• Piloter des initiatives FinOps afin d’optimiser les coûts cloud et l’efficacité opérationnelle
• Mentoriser et accompagner les ingénieurs SRE et Infrastructure
• Participer à une astreinte rémunérée permettant de garantir la disponibilité des services

Le poste s’articule autour d’environ 60 % de contribution technique directe et 40 % de leadership technique, mentoring et architecture.

Vos Compétences & Expérience

• Solide expérience en Site Reliability Engineering
• Expertise reconnue sur AWS
• Expérience de plateformes à fort trafic ou de systèmes distribués à grande échelle
• Bonne maîtrise de Kubernetes et Terraform
• Expérience dans la mise en place et l’amélioration de pipelines CI/CD
• Capacité à définir des orientations techniques et à influencer les décisions d’architecture
• Expérience dans l’accompagnement et le mentoring d’ingénieurs
• Connaissances des pratiques d’observabilité, de monitoring et de gestion d’incidents
• Sensibilité aux problématiques de FinOps et d’optimisation des coûts cloud
• Excellentes compétences en collaboration avec les équipes techniques et les parties prenantes

Ce Qu’ils Offrent

• Salaire entre 90 000 € et 110 000 €
• Bonus trimestriel
• Organisation hybride avec présence régulière au siège parisien
• Astreintes rémunérées avec compensation complémentaire
• Forte autonomie et impact direct sur les choix techniques
• Perspectives d’évolution vers des responsabilités techniques stratégiques
• Environnement moderne avec des enjeux de scalabilité et de performance à grande échelle

Comment Postuler

Si vous souhaitez contribuer à la construction d’une plateforme à fort trafic tout en combinant expertise technique, architecture et leadership, n’hésitez pas à postuler pour en savoir plus sur cette opportunité de Staff Site Reliability Engineer à Paris.

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Associate Director – Consulting & Analytics

London | Salary up to £75,000 | Office-based (4 days per week)

Are you an experienced social research professional looking for a senior leadership role where you can combine strategic client relationships, commercial ownership and research expertise?

We’re working with an innovative, technology-led research consultancy looking for an Associate Director to join its growing Consulting & Analytics team.

The business works with leading foundations, non-profits, public sector organisations and corporates, combining research expertise with technology to deliver high-quality insight and help clients make better-informed decisions.

This is an exciting opportunity to take ownership of strategic client relationships, lead complex research projects, win new business and develop a team of talented researchers.

The Role

• Own and grow strategic client accounts, building senior relationships and identifying opportunities for further research.

• Lead proposals and RFP responses for large and complex research projects.

• Set project direction and oversee delivery, ensuring high-quality research and commercially successful outcomes.

• Review and shape analysis, reports and presentations, translating complex findings into clear recommendations.

• Act as the escalation point for client issues, delivery challenges and quality concerns.

• Manage, coach and develop Research Managers, providing regular feedback and supporting their progression.

• Oversee multiple projects, balancing client expectations, deadlines, quality and profitability.

• Work closely with Growth and Operations to win new business and improve delivery processes.

• Explore opportunities to use technology and AI to improve research methods and workflows.

About You

• Ideally 6-8 years’ experience within social research, research consultancy or a related insight environment.

• Strong background leading quantitative and qualitative research projects from initial scoping through to final recommendations.

• Experience building and developing senior client relationships, growing accounts and contributing to commercial targets.

• Confident leading proposals and responding to complex briefs and RFPs.

• Strong analytical skills, with the ability to challenge evidence and communicate clear, compelling insights to senior audiences.

• Experience overseeing multiple projects while maintaining high standards of delivery and client service.

• Proven experience managing, coaching and developing researchers or consultants.

• Commercially minded, with a strong understanding of project scope, profitability and client value.

• Interested in how technology and AI can improve research delivery.

Experience working with foundations, non-profits, think tanks, Quangos or corporate clients would be particularly valuable. A strong understanding of social and political issues is also important.

The Opportunity

• Take on a senior leadership role with strategic client and commercial ownership.

• Own and grow relationships with an impressive portfolio of organisations.

• Lead significant and complex research projects across a range of social and political issues.

• Develop and mentor Research Managers, helping shape the future of a growing team.

• Influence research quality, delivery and commercial performance across the business.

• Work alongside engineers, data scientists and product specialists.

• Help drive innovation through the use of AI and emerging research technologies.

Salary: Up to £75,000
Location: London (four days per week in the office)

If you’re an established research leader looking for an opportunity to combine client leadership, commercial development and team management within an ambitious, technology-driven consultancy, we’d love to hear from you.

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Digital Analytics Implementation Specialist

London | Hybrid – 3 days per week in the office
Salary: Up to £60,000 + bonus and benefits

We’re partnering with a leading global digital entertainment business to recruit a Digital Analytics Implementation Specialist to join its growing analytics team.

This is an exciting opportunity to contribute to a major digital analytics transformation, improving tracking infrastructure and data quality across a range of digital products.

The Role

• Implement and maintain digital tracking across web platforms.

• Support data layer development, tagging and tracking QA.

• Identify and resolve tracking issues to improve data accuracy.

• Work closely with Product, Analytics and Marketing Technology teams.

• Contribute to the development of measurement strategies and tracking standards.

About You

• Experience in digital analytics implementation or web instrumentation.

• Strong knowledge of Adobe Analytics and JavaScript.

• Experience with data layers, tag management and debugging.

• A detail-oriented approach with strong problem-solving skills.

• Comfortable working in a fast-paced, evolving environment.

Experience with Adobe Web SDK, GA4 or server-side tracking would be advantageous.

What’s on Offer?

• Salary up to £60,000 plus a 10% bonus.

• Hybrid working, with 3 days per week in the office.

• Pension, healthcare benefits and discounted entertainment offers.

• The opportunity to work on a significant analytics transformation programme using modern technologies.

Interested in taking the next step in your digital analytics career? Get in touch to find out more.

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