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DEVOPS AZURE (CDI)
ILE DE FRANCE – 2 jours de télétravail
UP TO 55K€ FIXES + 2K variable

Azure – Kubernetes – Terraform

L’ENTREPRISE
C’est une entreprise du retail qui développe des solutions innovantes. Dans un contexte de forte croissance, l’entreprise recherche un Devops expert sur Azure pour assurer la gestion de son infrastructure et le déploiement de ses applications.

LE POSTE

Rattaché directement au Manager Devops vous aurez les missions suivantes :

• Gérer les environnements Azure basés sur le cloud via des scripts automatisés
• Créer, maintenir et implémenter la gestion de la configuration
• Automatiser et exécuter les processus de Build et de deploiement
• Détecter et résoudre les problèmes d’automatisation et de configuration
• Assister les équipes de développement et de support en élaborant de la documentation et des outils d’assistance
• Exécution de l’automatisation avec PowerShell
• Mise en place et configuration des processus CI/CD à travers divers secteurs de solutions.
• Faire preuve de jugement dans le cadre des procédures et pratiques définies pour déterminer l’action appropriée.

LE PROFIL

• Master ou équivalent en informatique
• Minimum 2 ans d’expérience dans l’utilisation de Linux, avec une expérience en automatisation et déploiement
• Connaissance obligatoire de Kubernetes et de Terraform
• Excellente maîtrise technique d’Azure ARM, PowerShell
• Des certifications Azure sont un atout
• La connaissance de Google Cloud est un +
• Niveau d’anglais B2 requis

POSTULER

Merci de joindre votre cv à jour et je vous recontacterai dès que possible.

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Analytics Lead
Sheffield (Hybrid)
£70,000-£80,000

THE COMPANY

A well-known consumer financer is seeking an Analytics Lead to join their new Growth team!

THE ROLE

As the Analytics Lead, you will work on a host of analytics projects including customer segmentation, campaign analysis & competitor analysis

YOUR SKILLS AND EXPERIENCE

• Strong SQL experience
• Data Viz experience (any platform)
• Any R/Python experience is nice to have but not essential

THE BENEFITS

• £70,000-£80,000 (dependent on experience)

HOW TO APPLY

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

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HEAD OF DATA SCIENCE – CREDIT RISK
£130,000
London

THE COMPANY

This dynamic and fast-paced lender have grown significantly over the past few years and are looking to add a motivated and experienced individual within their growing data science function. This role offers the chance to work end-to-end across a range of credit models in the business and take on a challenging role which will give you excellent exposure and experience in the credit modelling space.

THE ROLE

• Work across a range of credit models within the business, predominantly scorecards and broader decisioning models
• Own the implementation and enhancement of AI techniques to further innovate and enhance the model suite.
• Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business
• Manage a small team to enhance business performance

YOUR SKILLS AND EXPERIENCE:

• Essential to have experience developing predictive models
• SQL and Python experience is essential
• Experience working with AI, either in a professional or educational environment, is essential
• Highly desirable to have had experience in Consumer Lending and a strong understanding of the credit lifecycle
• Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech is a plus

SALARY AND BENEFITS

• Base salary from £120-140,000 depending on experience
• Private medical care
• Bonus scheme
• Company pension
• 25 days holiday
• Cycle to work scheme

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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SENIOR CREDIT RISK CONSULTANT

£70-80,000

LONDON – other locations available

This is an exciting opportunity to work with a data-driven consultancy who are well known in the financial services space.

THE COMPANY

This large consultancy business are looking for a strong candidate to join their credit risk team to work with a range of clients within the Financial Services space and more. This role offers the chance to work on a really diverse range of projects, from scorecard modelling to strategy work, and could really see you take your career to the next level.

THE ROLE

This role would see you work with a range of clients on projects including:

• Re-developing and enhancing statistical models, specifically scorecards, to drive insight into the customer journey and enhance business performance
• Design credit risk strategies and provide support on wider lending and fraud strategies including optimization and analysis
• Provide wider ad hoc analysis and insight into customer trends and monitor the ongoing performance of credit strategies and portfolios
• Working with external stakeholders and collaborating with businesses to communicate improvements and really make an impact

YOUR SKILLS AND EXPERIENCE

• Prior exposure to Credit Bureau data is essential
• Exposure to scorecard models is an essential requirement
• Previous experience in end-to-end scorecard development is highly desirable
• Strong SAS or Python, with Python a preference
• Strong stakeholder communication ability

SALARY AND BENEFITS

• Up to £80,000 base salary
• Discretionary bonus
• Pension contribution scheme
• Excellent work culture
• Clear opportunities for progression within the company

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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SENIOR CREDIT RISK MANAGER

£100,000

LONDON

THE COMPANY

This is an exciting opportunity with a leading UK FinTech that focus on harnessing data to enhance their lending decisions. This business have been growing in recent years and are now in an excellent position. This role offers the chance to work closely with the data science team to drive impact across their lending strategies and broader business profitability.

THE ROLE

• Monitor and adjust lending strategies across the customer lifecycle to enhance profitability and decisioning
• Collaborating with the data science team to drive model performance and implementation of innovative machine learning models
• Analysing trends in lending portfolios to drive insight and enhance business performance
• Leading the incorporation of new data sources to enhance and improve decisioning

YOUR SKILLS AND EXPERIENCE

• Previous experience in and knowledge of SQL and Python is essential
• Experience in developing lending strategies in a consumer lending environment
• Experience monitoring a lending portfolio and customer trends
• STEM degree from a Russell Group University

SALARY AND BENEFITS

• Base salary of up to £100,000
• Hybrid work model
• Company equity
• Broader company benefits including international trips

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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Senior Manager – Credit Strategy & Valuations
Remote (US)
Up to $200,000

Are you a clear communicator with a passion for solving complex lending problems using mass volumes of data? This role uses those skills to drive NPV optimized credit risk and lending strategies (from ideation to implementation) at a fast-paced, start-up lender.

THE COMPANY

A fast-paced and innovative Series-B lender with a fascinating and unique consumer lending product. Data lies at the centre of everything here. This is an early hire in an ultra-high calibre business analysis / credit risk analytics function embedded into a collaborative, lean business executing on it’s high growth strategy.

THE ROLE

• Drive data-driven business strategy focused around core lending and credit risk problems
• Underpin strategies with NPV methodology
• Work cross functionally and with a variety of stakeholder to deliver strategic lending and credit risk changes to help the business optimise for growth and risk
• Hands on role using SQL and Python to interrogate data, work with models etc
• Opportunity to lead a small team of exceptional analysts as the business grows

YOUR SKILLS AND EXPERIENCE

• Experience solving credit risk or similar data-driven problems in a consumer lending environment
• Experience driving strategy within a consumer lending environment
• Strong grounding in NPV-drive decision making
• Strong background in data including using SQL daily. Python is beneficial
• Examples of exceptional performance or high level of positive impact in previous role(s)
• Strong academic background can be a positive indicator of successful candidates

THE BENEFITS

• Progress your career in a highly data driven business with an exceptional team
• Competitive salary with potential for equity
• Impact – this is a role where you will have a huge impact on the success of the business

KEYWORDS

Credit Risk Strategy, Acquisition, Scorecards, SQL, Python, Data, Analysis, Pricing Strategy, Credit Cards Strategy, Unsecured Personal Loans Strategy, Credit Limit Assignments,

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Staff Finance Data Analyst

Location: San Francisco, CA (US Remote Eligible)
Compensation: $180-240k base + equity

Are you ready to drive high-impact decisions at the intersection of finance and data? Join a rapidly growing Series E company at the cutting edge of AI-powered web development, and help shape the future of technology innovation.

We’re looking for a Staff Finance Data Analyst to take charge of financial analytics initiatives, bridging the gap between Finance and Data teams. In this role, you’ll be instrumental in creating trusted financial models, designing impactful forecasts, and delivering strategic insights that will guide key business decisions and fuel our continued growth.

What You’ll Do:

• Model Usage-Based Economics: Build and maintain dbt models in Snowflake, transforming raw product telemetry into clear financial views (ARR, margin, unit economics).
• Forecast & Scenario Analysis: Use Python-driven Monte Carlo and statistical models to forecast revenue, costs, and gross margin under multiple scenarios.
• Lead Variance & Root-Cause Analysis: Dive deep into revenue, COGS, and operating expenses, explaining plan vs. actual variances and identifying key business drivers.
• Simulate Pricing & Packaging Changes: Collaborate with Product Monetization to model the impact of new pricing tiers, overage bands, and feature gates.
• Automate Financial Reporting: Develop self-serve dashboards (e.g., Hex, Mode, Looker) trusted by Finance, ELT, and Board stakeholders during the month-end close.
• Enhance Data Quality: Define and implement data-quality SLAs, ensuring that all revenue and cost metrics are fully auditable.
• Mentor & Guide: Provide best-practice guidance on dbt design patterns, Snowflake optimization, and Python analytical tooling for analysts and engineers.

What We’re Looking For:

• Experience: 7+ years in analytics or data science roles, with a focus on finance (experience with SaaS or usage-based business models preferred).
• Technical Expertise: Hands-on experience with dbt (production models, testing, CI/CD) and Snowflake (performance tuning, RBAC, cost management).
• Advanced Skills: Strong proficiency in SQL and Python (pandas, scipy/statsmodels, Prophet) for forecasting, scenario modeling, and statistical analysis.
• Business Intelligence Tools: Experience with BI tools such as Looker, Hex, Mode, Tableau.
• Financial Acumen: Deep understanding of SaaS/cloud economics including MRR/ARR, COGS allocation, gross margin, LTV/CAC, churn, and cohort retention.
• Experience in Usage-Based Pricing: Proven track record in building usage-based pricing models and forecasting frameworks from raw event data.
• Strong Communicator: Ability to convey complex data insights to executive audiences and collaborate effectively with engineers.
• Educational Background: Bachelor’s or Master’s in Finance, Economics, Statistics, Data Science, or a related field.

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Principal Software Engineer – Data Platform

San Francisco, CA (Remote Eligible – US Only)

$230K-$280K base + equity

Are you ready to lead the design and build of a world-class data platform from the ground up?

A high-growth, product-led tech company is looking for a Principal Software Engineer to lead the build-out of a modern, scalable data platform from the ground up. If you’re excited about solving massive data challenges and shaping the infrastructure that supports real-time analytics and AI/ML at scale, this role is for you.

As the most senior technical IC on the Data Platform team, you’ll partner with leadership across Engineering, Product, Security, and Compliance to design a low-latency, cloud-native data architecture using best-in-class tools like Kafka, Iceberg, ClickHouse, Tinybird, and Snowflake.

Why this role?

• Join a growing Data Platform team
• Own the technical vision and architecture end-to-end
• Tackle petabyte-scale data challenges and real-time streaming use cases
• Work with a cutting-edge tech stack (Kafka, Iceberg, ClickHouse, Snowflake, etc.)
• Drive platform evolution to support AI/ML and company-wide analytics

What You’ll Do

• Design and build a next-gen data platform to power product and internal use cases
• Architect for batch + streaming, scalability, fault tolerance, and low latency
• Lead data modeling, warehousing, governance, and ingestion best practices
• Champion engineering excellence and mentor senior engineers
• Align technical decisions with long-term business strategy
• Optimize for performance, cost, and resiliency in a modern cloud environment

What We’re Looking For

• 8+ years of experience in data engineering or platform architecture
• 5+ years at the Principal Engineer level or equivalent
• Deep expertise with Kafka (and its ecosystem), streaming data systems
• Strong experience with ClickHouse, Iceberg, Snowflake, or similar tools
• Cloud-native architecture expertise (AWS, GCP, or Azure)
• Track record of designing data systems for compliance and governance
• Experience scaling systems to support petabyte-level workloads
• Excellent communication, collaboration, and leadership skills
• Bonus: Experience enabling AI/ML platforms or preparing for IPO-scale growth

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Staff Data Platform Engineer

US Remote

$200-245k base + Equity

We’re working with a rapidly expanding consumer tech startup that recently raised $125M in Series D funding. As they continue to scale, they’re looking to hire a Staff Data Engineer to join their growing data team. If you have a strong foundation in software engineering, a collaborative mindset, and a passion for driving data strategy, this is the opportunity for you!

The Role:
As a Staff Data Engineer, you’ll be a crucial part of the team, ensuring data is accessible, reliable, and actionable across the company. Working alongside engineers, data scientists, and business teams, you’ll help build scalable data platforms that drive key business initiatives and enable data-driven decision-making.

What You’ll Do:

• Collaborate with engineering, data science, and business teams to understand data needs and implement effective solutions aligned with business objectives.
• Design and build scalable data infrastructure and pipelines to handle high volumes of data as the company grows.
• Lead the design and optimization of data architecture, ensuring it’s secure, high-performing, and scalable.
• Improve and streamline data pipelines to provide fast, reliable access to high-quality data.
• Contribute to the design of reporting frameworks and analytics tools that empower teams to make data-driven decisions.
• Work with security teams to ensure data privacy and compliance standards are met.
• Mentor junior engineers, share expertise, and promote best practices across the team.
• Stay updated on new technologies and suggest improvements to enhance processes and tool efficiency.

You’re a Great Fit If:

• You have 7+ years of experience in data engineering.
• You’ve worked at a leading consumer tech company known for engineering excellence.
• You’re an expert in SQL, Python, and data platform development.
• Nice-to-have: Familiarity with AWS, Kubernetes, Redshift, Athena, S3, and Airflow.
• You have hands-on experience with complex data infrastructures and optimizing data pipelines.
• You’ve led large-scale data projects that had a significant impact on your organization.
• You thrive in collaborative environments and have strong communication skills.
• You have an ownership mindset and take responsibility for delivering results.

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Director of Data Science – Pricing, Lead Scoring & Personalization

Location: San Francisco (Remote Eligible)

Salary: $250-280k base + equity

We are looking for a Director of Data Science to lead a high-impact team focused on pricing optimization, lead scoring, and customer personalization for a rapidly growing travel platform backed by top investors. This role is ideal for a data science leader who can define strategy, develop predictive models, and drive measurable business impact through advanced analytics and machine learning.

Key Responsibilities:

• Lead and scale a high-performing team of data scientists and analysts, fostering a culture of experimentation, collaboration, and innovation.
• Develop dynamic pricing models that optimize revenue, improve conversion rates, and enhance market competitiveness.
• Enhance lead scoring and customer personalization by building predictive models that identify high-value leads, optimize sales funnels, and improve user experiences.
• Design and analyze A/B tests, causal inference models, and other experimentation techniques to measure and optimize product, marketing, and operational decisions.
• Establish frameworks for data quality, governance, and self-service analytics to ensure consistency and accessibility across the company.
• Collaborate with Product, Finance, Marketing, Sales, and Operations to define key business metrics, analyze performance, and provide strategic recommendations to executive leadership.

Qualifications:

• 10+ years of experience in data science or analytics, including at least 5 years in leadership roles.
• Expertise in predictive modeling, dynamic pricing, and lead scoring using machine learning and statistical methods.
• Strong experience with SQL, Python, R, and BI tools such as Looker, Tableau, or Sigma.
• Proven ability to translate data insights into business strategy and influence executive stakeholders.
• Deep knowledge of A/B testing, experimentation, and customer segmentation.
• Industry experience in B2B SaaS or travel is a strong plus.
• Bachelor’s degree in a technical field required; Master’s or MBA preferred.

This is an opportunity to shape the data science strategy at a fast-growing company, driving decisions that will transform pricing, customer engagement, and business growth.

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Staff Growth Product Analyst

US Remote

$200-240k base + equity

About the Role:

We’re looking for a Staff Growth Product Analyst to drive impactful growth analytics for an innovative AI-driven development platform that’s transforming how developers create and deploy user interfaces. Leveraging cutting-edge AI technologies, this platform enables rapid prototyping and significantly accelerates product development, enhancing user growth, engagement, and overall developer experience.

Role Highlights:

• Deep dive into user behaviors, journeys, and growth funnels to uncover opportunities for enhanced engagement and acquisition.
• Generate actionable insights aimed at boosting critical growth metrics like DAU, MAU, and user retention.
• Design, execute, and analyze A/B tests to drive informed decision-making and product improvements.
• Influence strategic decision-making through rigorous data analysis and compelling recommendations.
• Collaborate cross-functionally with product managers, engineers, data scientists, and growth marketers to drive continuous product improvement and iteration.

Who You Are:

• You have 7+ years of proven expertise in growth and product analytics, ideally within early-stage or innovation-driven product environments.
• You’re adept at conducting thorough funnel analyses, spotting rapid experimentation opportunities, and recommending actionable product enhancements.
• You thrive on solving complex analytical problems with high energy and intellectual rigor.
• Experienced with modern data stack (e.g., Snowflake, dbt, Preset, Hashboard, Kafka, Fivetran, Omni, Hex, Sigma, SQL, Python).
• You have previous experience (or a strong interest) in working with AI or machine learning-driven products.

Ideal Fit: You’re a driven, collaborative analytics expert passionate about influencing groundbreaking products. Excited by high-paced, innovative environments, you’re motivated by measurable impact and shaping the future of developer-focused, AI-powered technologies.

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Staff Analytics Engineer

Location: Remote
Salary: $200-250k

Are you a data expert ready to drive transformative analytics at a cutting-edge cloud platform company? This fast-growing Series C innovator is revolutionizing how teams build, preview, and deploy high-performance digital applications.

About the Role

The Staff Analytics Engineer will lead the design and implementation of robust data models and pipelines, enabling business units to uncover insights and make data-driven decisions. This role is a unique chance to collaborate with engineering, product, and business teams, building scalable analytics systems that power operational efficiency and growth.

Key Responsibilities

• Design and maintain scalable data models and pipelines to serve as a single source of truth across the enterprise.
• Develop tools to enhance data accessibility, auditing, and validation, ensuring consistent, trustworthy datasets.
• Partner with cross-functional teams to uncover actionable insights and support decision-making.
• Build self-service analytics tools and dashboards for key stakeholders, streamlining workflows.
• Collaborate on advancing the company’s data platform using cutting-edge tools like dbt, Snowflake, and Superset.
• Lead initiatives to improve data quality, governance, and discoverability, ensuring alignment with business goals.

About You

• 8+ years of experience in analytics engineering or a similar role in a modern tech company.
• Advanced proficiency in SQL, with experience working on complex datasets.
• Expertise in data platforms like Snowflake or BigQuery and transformation tools like dbt.
• Familiarity with programming languages such as Python, Java, or Go.
• Experience with BI tools like Hashboard or Superset, and a strong grasp of schema design and dimensional modeling.
• Strong communication skills and the ability to collaborate in a fast-paced environment.

Be part of a forward-thinking team where data is at the core of every decision. If you’re passionate about transforming data into meaningful insights, this role offers the chance to work on impactful projects, collaborate with top talent, and make a lasting difference.

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