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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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SENIOR BUSINESS ANALYST (RISK ANALYTICS)

HYBRID – GREATER PHOENIX AREA

$100,000 – $115,000 BASE + FULL BENEFITS

The Opportunity

We’re partnering with a large, data-driven residential real estate platform operating at national scale, where analytics directly influence who gets approved, how homes are filled, and how risk is managed.

This is a high-impact senior analyst role, not a reporting-only position. You’ll own analyses that shape resident screening strategy, occupancy outcomes, and credit performance, with regular visibility to executive leadership.

What You’ll Be Working On

• Analyze resident screening, approval, and performance data to balance occupancy growth vs. credit risk
• Identify trends, tradeoffs, and root causes behind key business metrics
• Develop SQL-based analyses pulling from large production data warehouses
• Translate complex data into clear recommendations for senior and executive stakeholders
• Monitor KPIs tied to screening outcomes, resident performance, and operational efficiency
• Partner cross-functionally with Risk, Operations, Revenue, and Data teams
• Improve data quality and integrity by influencing upstream processes and systems

What We’re Looking For

• 5+ years in business analytics, data analytics, or consulting
• Strong SQL skills with experience working in large, messy datasets
• Experience using data to influence policy, pricing, or risk decisions
• Comfort presenting insights and recommendations to senior leadership
• Ability to manage multiple projects in a fast-paced, high-ownership environment
• Curious, problem-solving mindset with strong business intuition

Strong Pluses

• Credit, risk, pricing, or underwriting analysis experience
• Consulting background
• Python for data analysis (pandas, dataframes)
• Experience with statistical analysis or model monitoring
• Prior exposure to executive-level storytelling with data

Tech Stack (Core)

• SQL (complex queries, joins, aggregations)
• Excel (pivot tables, lookups)
• Python for data analysis
• BI tools and cloud-based data warehouses

Why This Role

This role sits at the intersection of data, strategy, and real-world outcomes. Your work directly impacts revenue, risk exposure, and customer experience at national scale. You’ll have autonomy, executive exposure, and the chance to expand beyond one function as the business grows.

If you’re motivated by using data to drive decisions-not just dashboards, APPLY.

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Senior Business Analyst – Credit Risk Strategy

Location: Tempe, AZ (Preferred) | Atlanta, GA | Dallas, TX — Hybrid 4 days/week in office

Salary: $100-115k Base + Annual Bonus

The Opportunity

We’re partnering with an established, growing organization seeking a Senior Business Analyst to join its Analytics team, with a focus on credit risk, business strategy, and data-driven decision-making.

This is an opportunity for someone who enjoys going beyond traditional reporting and analysis to solve complex business challenges, shape strategy, and influence decisions at a senior level. The ideal candidate will bring a combination of strong analytical skills, commercial awareness, and independent problem-solving ability. You’ll have the autonomy to identify opportunities, develop actionable recommendations, and see your ideas through to implementation.

What You’ll Be Doing

• Analyze business performance, credit risk, and customer data to uncover trends, opportunities, and areas for improvement.
• Develop and evaluate strategies that balance business growth, profitability, and risk.
• Investigate complex, often undefined business challenges and use data to develop practical solutions.
• Assess existing policies, processes, and decision-making frameworks to identify opportunities for optimization.
• Partner with cross-functional teams to develop and implement strategic initiatives.
• Present analytical findings and recommendations to senior stakeholders, translating complex data into clear business insights.
• Monitor the impact of implemented strategies and identify opportunities for further improvement.

What We’re Looking For

• 5+ years of experience in business analytics, credit risk, risk strategy, or a related analytical role.
• Experience within financial services, lending, consumer finance, or another data-driven commercial environment preferred.
• Strong SQL skills, with the ability to independently extract, manipulate, and analyze complex datasets.
• Advanced Excel proficiency and working knowledge of Python for data analysis.
• Experience applying analytical techniques to evaluate business performance, risk, or strategic opportunities.
• Demonstrated ability to approach ambiguous problems, develop hypotheses, and deliver actionable recommendations.
• Strong communication and stakeholder management skills, with experience influencing business decisions.
• A proactive, commercially minded approach and the ability to take ownership of projects from analysis through implementation.

Why Consider This Opportunity?

• Strategic Impact: Play a direct role in shaping business decisions and driving measurable outcomes.
• Autonomy & Ownership: Take ownership of analytical initiatives from identifying opportunities through implementation.
• Leadership Exposure: Work closely with senior decision-makers and influence business strategy.
• Cross-Functional Experience: Collaborate with teams across Risk, Product, Operations, and other business functions.
• Career Development: Gain exposure to a broad range of strategic initiatives beyond your initial area of focus.

If you’re an analytically strong problem-solver who enjoys turning complex data into meaningful business decisions, we’d love to hear from you.

*Please note this role can only hire Green Card Holders or US Citizens*

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Product Engineer / Senior Product Engineer

Location: San Francisco, CA (Onsite, 5 days/week)

Compensation: $175-275k base (depending on experience)

The Opportunity

We’re partnering with a rapidly growing technology company that’s building AI-powered products to transform how businesses manage complex, time-consuming workflows.

They’re looking for talented Product Engineers to join a highly technical, collaborative team and play a key role in developing and scaling their core platform. This is an opportunity to work in a fast-paced environment where engineers have significant autonomy, direct influence over product decisions, and the ability to see their work make an immediate impact.

With opportunities available across multiple seniority levels, they’re looking for engineers who enjoy taking ownership, solving challenging technical problems, and bringing products from concept through to production.

The Role

• Design, develop, and deliver end-to-end product features across frontend and backend systems.
• Take ownership of the full product development lifecycle, from initial concept and prototyping through deployment and iteration.
• Build and enhance AI-powered applications that automate complex business processes.
• Collaborate closely with internal stakeholders and end users to translate business challenges into technical solutions.
• Develop scalable, reliable systems while maintaining high standards for code quality and performance.
• Work in an agile, high-ownership environment where speed, creativity, and practical problem-solving are valued.

Requirements

• 6+ years of professional software engineering experience, with flexibility depending on level.
• Strong proficiency in TypeScript and experience building full-stack applications.
• Demonstrated experience developing and shipping customer-facing products.
• Experience owning projects or features end-to-end, ideally within a startup or fast-growing technology environment.
• Strong understanding of software architecture, scalability, and engineering best practices.
• Excellent communication skills and a product-focused mindset.
• Comfortable working in a fast-paced environment with evolving requirements.
• Willingness to work onsite in San Francisco five days per week.

Nice to Have:

• Experience with Python.
• Exposure to AI/LLM-powered applications or workflow automation.
• Experience building 0-to-1 products or scaling early-stage platforms.

Why Apply?

• Join a growing technology company developing innovative AI-powered solutions.
• Take meaningful ownership of products and technical decisions.
• Work alongside a talented, experienced engineering team.
• Build products that solve real-world problems and deliver measurable customer impact.
• Competitive compensation package including equity and comprehensive benefits.

If you’re a product-minded engineer who enjoys building, shipping, and owning impactful technology, we’d love to hear from you.

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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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