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SENIOR DATA SCIENTIST / ENGINEER

UP TO 60K€ PACKAGE

2-3 JOURS DE TÉLÉTRAVAIL

Python – SQL – Pyspark – AWS – Tableau

Une startup parisienne dans le domaine de la santé recherche un Senior Data Scientist / Engineer expérimenté. Si l’environnement startup vous intéresse, alors cette offre est faite pour vous !

LE POSTE

Rattaché au Head of Data, vous rejoindrez l’équipe data composée de deux personnes. Vous serez en charge de l’extraction, la collecte et l’interprétation des données à fort enjeux business. Vos missions au quotidien :

• Collecter, centraliser et organiser les données s’assurant de leur qualité et leur disponibilité
• Détecter et corriger les données erronées, doublons ou incohérences, tout en garantissant un entrepôt de données bien structuré
• Améliorer occasionnellement des pipelines de données, concevoir des algorithmes d’analyse et des modèles prédictifs fiables, créer des POC sur des sujets IA
• Créer des dashboards, rapports et visualisations claires pour aider les équipes métier à exploiter les données
• Suivre les innovations data, proposer de nouvelles approches/outils pour améliorer les pratiques du pôle data

VOTRE PROFIL

• Bac+5 au sein d’une top 10 école d’ingénieur en mathématiques, statistiques ou data science
• Minimum 3 ans expérience sur un poste similaire au sein d’une startup/scaleup
• Expérience solide avec Python, SQL, Pyspark
• Maîtrise d’un cloud public (AWS, GCP ou Azure)
• Vous êtes autonome, bon communicant et aimez le travail d’équipe

POUR POSTULER

Merci de joindre votre cv à jour et nous reviendrons vers vous rapidement.

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Senior Analytics Manager – REMOTE

FINANCIAL SERVICES EXPERIENCE REQUIRED – FCA

We’re working with a fast-growing, customer-focused lender providing flexible short-term financial solutions to underserved markets. As they scale, they are seeking a Senior Analytics Manager to lead advanced analytics initiatives and embed a data-driven culture across the business.

About the Role
You’ll play a key role in shaping the data and analytics strategy, delivering insights that drive smarter decisions across credit risk, marketing, digital, and operations. Partnering with senior leaders, you’ll turn complex data into clear, commercial outcomes.

What You’ll Do

• Lead analytics projects across key business areas
• Build models and tools to solve real-world problems
• Communicate insights to non-technical and senior stakeholders
• Champion data quality, governance, and regulatory compliance
• Manage and mentor a small team of analysts

What We’re Looking For

• 10+ years in financial services, with leadership experience
• Strong technical skills (SQL, Python or R) and statistical modelling
• Deep understanding of working with large datasets
• Excellent communication and stakeholder management skills
• Familiarity with FCA regulations

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Role: Platform Support Engineer
Salary: £45,000
WFH: Hybrid – 2-3 days/week in Central London office

Overview

Our client is a fast-growing, outcome-led financial technology company helping individuals build a better relationship with their money. As part of a mission to deliver a world-class wealth platform, they’re hiring a Platform Support Engineer to bolster internal operations and enhance infrastructure reliability across their growing team.

Sitting within a technically diverse and highly collaborative Platform Team, you’ll play a key role in supporting end-users, maintaining core systems (AWS, Google Workspace, MDM), and driving hands-on infrastructure projects from start to finish. The role blends operations, project ownership, and platform optimisation in a modern, Mac-first, cloud-native environment.

Key Responsibilities

• Manage internal support tickets via Jira and provide high-quality end-user support
• Administer Google Workspace and support Mac, Windows, and Linux devices using MDM tools
• Support operational changes and handovers from Platform Engineering
• Own technical projects end-to-end, from scoping through to delivery
• Assist with infrastructure support and occasional patching of office systems

Ideal Candidate

• Solid experience with Linux system administration and command-line navigation
• Proficient with Google Workspace configuration and support
• Strong understanding of basic networking and connectivity troubleshooting
• Experience working with ticketing systems like Jira and documentation tools like Confluence
• Comfortable owning and delivering infrastructure and platform-focused projects
• Excellent communication skills and a user-first mindset

Nice to Haves

• Experience with Docker or containerisation workflows
• Exposure to managing larger or more complex Linux environments
• Familiarity with network administration or office infrastructure management

Tech Stack / Tools

• Linux (macOS, Windows also supported)
• Google Workspace
• MDM Tools
• Jira / Confluence

Benefits

• Outcome-led, flexible culture with true work-life balance
• 25 days holiday + flexible hours for life admin (no leave needed for appointments)
• Regular team socials and a friendly, inclusive environment
• Hybrid working model (2-3 days/week in the office)
• Mental and physical wellbeing perks (online fitness, discounted gyms)
• Salary sacrifice scheme to support your financial future
• Family-friendly policies and flexible support for parents

Interview Process

1. Intro Chat – With team member(s) for culture and alignment
2. Technical Interview – Problem-solving and platform knowledge
3. Final Interview – Meet with wider team members on-site or virtually

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FULL STACK DATA SCIENTIST
PARIS (75)
45-60K€

Dans le cadre du développement de l’équipe Data Engineering, nous recrutons un(e) Data Engineer & Scientist Senior.

Le poste s’oriente davantage vers l’engineering, tout en conservant une dimension analytique au service des métiers (RH, marketing, satisfaction client).

VOTRE ROLE

Structurer, organiser et consolider la collecte de données existante

• Maintenir, modifier occasionnellement et faire évoluer des pipelines de données déjà en place
• Être autonome sur les sujets R&D Data, avec une forte composante scientifique (création de POC IA, analyse, modélisation, prédiction)
• Travailler en étroite collaboration avec les équipes métiers (RH, marketing, satisfaction client) pour transformer la donnée brute en insights métier
• Participer à la roadmap technique et scientifique sur 3, 6 et 12 mois, principalement autour des sujets IA et Data Engineering
• Manipuler les données via Python, SQL, PySpark, dans un environnement cloud (préférence AWS mais GCP/Azure possible)
• Construire et alimenter des dashboards avec des outils de data visualisation adaptés

VOTRE PROFIL

• 3 à 6 ans d’expérience en Data Engineering / Data Science
• Vous avez déjà travaillé dans un environnement startup ou scale-up, avec une forte autonomie et un esprit de construction
• Expérience en structuration d’un pôle data ou mise en place de pipelines from scratch appréciée
• Langages & outils : Python, Power BI ou Tableau (must have)
• Outils statistiques : SAS (must have), SPSS (nice to have)
• Cloud : AWS
• Français courant
• Diplômé(e) d’une école d’ingénieur ou grande école

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Data Analyst – Insight & Analytics Focus
️ Central London (Hybrid, 2-3 days in office)
Up to £50,000
Urgent Hire – Small, High-Impact Team
No sponsorship

We’re partnering with an innovative company that measures how people interact with out-of-home advertising (billboards, digital screens, posters, etc.). As they continue to grow and refine their methods, they’re looking for a Data Analyst to join their collaborative team and help drive actionable insights.

In this role, you’ll work closely with the Director of Research to analyse audience data, uncover insights, and support media planning decisions. You’ll focus on building visualisations, working with key stakeholders, and helping refine the data models as they enter a new phase of development in 2025.

3+ years’ analytics experience
Strong SQL and Python skills
Experience in media/advertising analytics preferred
Familiar with data visualisation tools like Tableau (or similar)
Bonus: basic front-end development skills (HTML/CSS/JS)

Why join?

• Be part of a small, dynamic team with big impact

• Work on new data models and advanced methodologies launching in 2025

• Exposure to cutting-edge technologies like facial recognition and telecom data

• Flexible, hybrid working environment

• Unique opportunity to drive insights for the outdoor advertising industry

Find out more and apply via the link below !!!

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Full Stack Web Applications System Engineer

Remote | HQ in Texas

$150,000-$170,000 base salary

THE COMPANY

Headquartered in Texas, this forward-thinking company combines computer vision, AI, and automation to bring intelligence and precision to industrial quality systems. As their product and customer base expand, they’re growing their engineering team with a focus on technical excellence and ownership.

THE ROLE

As a Full Stack Web Applications System Engineer, you’ll be responsible for the entire lifecycle of web applications-from frontend UI and backend APIs to CI/CD pipelines and production support. In this role, full stack means truly full stack-you’ll architect interfaces, write Python services, manage deployments, and help guide product direction alongside the core engineering team.

SKILLS & EXPERIENCE

• 7+ years of professional experience in full-stack web application development
• Proven ability to handle everything from UI to backend to infrastructure-full ownership of application lifecycle
• Strong proficiency in Vue.js, Python, TypeScript, and Node.js
• Experience designing secure APIs, implementing robust UI architectures, and deploying applications in cloud environments
• Familiarity with AWS, Linux, Docker, and Kubernetes (bonus)
• Hands-on experience with CI/CD pipelines, DevOps tools, and production system reliability

THE BENEFITS

• $150,000-$170,000 USD salary
• 100% remote – Work from anywhere in the U.S.
• High-impact role with ownership and decision-making authority across the full application lifecycle
• Collaborate with a high-caliber technical team in a fast-moving, product-focused environment

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Analytics Engineer – Permanent

London – Hybrid Working

£60k – £70k + Benefits + Equity

We’re working with a high-growth e-commerce brand that is scaling its data platform. They’re seeking an Analytics Engineer to join their team and build robust, scalable pipelines and models to power decision-making across the business. This is a permanent role and you will be reporting into the Head of Data. You would be working alongside other Analytics Engineers and be supported by the wider team.

Core Requirements:

• Strong SQL skills for data modelling and transformation
• Proven experience building and managing ETL pipelines in production
• Hands-on experience with Snowflake and dbt
• Proven experience as an Analytics Engineer
• Experience working in a cross-functional environment with stakeholders
• Excellent communication skills

What Will Make You Stand Out:

• Experience with ThoughtSpot, Looker, or similar BI tools
• Proficiency in Python for scripting, automation, and data workflows

If you would like to be considered for this, please apply. To follow up please email or message me on LinkedIn.

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CREDIT RISK MANAGER/SENIOR MANAGER

£60-85,000 dependent on level

REMOTE (ONCE PER MONTH TRAVEL TO MIDLANDS)

THE COMPANY

This lending business are in a rapid period of growth and have very ambitious plans for the next few years. They are looking for an experienced candidate to take the lead in defining their analytics growth and strategic direction for the future, offering the chance to make a real impact in a smaller business.

THE ROLE

• 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 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 wider business areas 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, SQL, Python or R is essential
• Prior management experience essential

SALARY AND BENEFITS

• Base salary – 60-85k depending on level
• Private Medical care
• Pension contribution scheme
• 25 days holiday

HOW TO APPLY

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

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CREDIT RISK MANAGER

NOTTINGHAM- ONCE A MONTH

SALARY UP TO £75,000

Join a leading lender where you will play a pivotal role in shaping and leading the credit risk strategies.

THE ROLE

• Lead the development, execution, and refinement of credit risk strategies across acquisition, account management, and decision-making processes.
• Guide and mentor a high-performing credit risk team, promoting a culture focused on growth, collaboration, and operational excellence.
• Own and continuously improve the credit risk policy framework, decision models, and governance structures to ensure regulatory compliance and audit readiness.
• Provide executive leadership with clear, data-driven insights into portfolio performance and emerging risk trends.
• Build and maintain statistical models (e.g., probability of default models, bureau-based and custom scorecards) to support credit underwriting and customer segmentation.
• Utilize credit bureau data (e.g., TransUnion, Experian) to inform, enhance, and fine-tune risk strategies.
• Perform in-depth exploratory data analysis and ensure high data quality through comprehensive cleaning and validation processes.
• Design and manage A/B testing frameworks to assess and optimize the performance of credit risk strategies.

REQUIREMENTS

• Experience with credit strategy implementation
• Experience building scorecards
• SAS/SQL/ Python
• Experience with credit bureau data

HOW TO APPLY

Please send CVs below or

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Founding Full-Stack Engineer (React + Rust)

AI Infrastructure – Open Source

$200,000 – $300,000 + Equity (~1%)

Onsite – Williamsburg, NYC

Join a deeply technical AI startup as a founding engineer, building the open-source infrastructure powering the future of LLM optimization. With world-class backers and a team of Stanford, Oxford, and CMU alumni, this is an opportunity to own critical product features from day one and help shape a category-defining developer platform.

THE COMPANY

This stealth-mode startup is building an open-source platform that helps teams optimize LLMs in production – think observability, inference routing, and programmatic evaluation in one powerful feedback loop. The company is backed by investors behind OpenAI, ClickHouse, and Anthropic, and has years of runway to support deep open-source investment.

THE ROLE

As Founding Full-Stack Engineer, you will:

• Lead the build of the observability dashboard and core user-facing tools
• Work in React and Rust to craft high-performance, developer-first experiences
• Collaborate directly with the CEO, CTO, and ML researchers to shape product and infrastructure
• Contribute open source code that impacts the broader LLM/devtools ecosystem
• Influence product direction and engineering culture as a true early team member

YOUR SKILLS & EXPERIENCE

• Strong technical foundation with experience driving 0→1 product builds
• Proficiency in React and Rust (must-have)
• Experience designing technical UIs for engineers/ML users
• Track record of OSS contributions or a strong GitHub presence is a plus
• Passionate about developer experience and the craft of software engineering
• Open to H1B or O1 transfer for exceptional candidates

BENEFITS

• $200K-$300K base + meaningful equity (~1%)
• Work alongside an all-technical founding team from Stanford, Oxford, CMU, AWS, and Meta
• Learn from leaders in OSS (Radix UI, RemixJS), Rust, and ML research (NeurIPS, Meta AI)
• Contribute to open-source every day
• Onsite collaboration in a top-tier Brooklyn workspace

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Found Engineer

AI Technology

New York, NY

$150,000 – $180,000 + Equity

We’re partnering with a fast-growing AI-native startup that’s revolutionizing hotel operations through automation. They are looking for a Technical Co Founder who can build their engineering team.

The Role:

This is an opportunity to be the first technical leader at a company solving massive, overlooked problems in hospitality. As the Founding Engineer, you’ll lead development across the stack and help bring AI-native workflows-from chatbots to pricing agents-to life. You’ll work directly with the CEO and founding team to architect scalable systems, own key business outcomes, and help define the product experience end-to-end.

Key Responsibilities:

• Build and scale the platform across the full stack (Python, Node, React, AWS)
• Implement agentic solutions using AI frameworks like LangChain and RAG pipelines
• Collaborate closely with the founding team to shape product and technical direction
• Manage and mentor engineers as the team scales
• Translate complex business needs into simple, reliable software that drives results
• Establish engineering best practices, timelines, and delivery standards

Skills and Experience:

• Strong experience in fullstack development using Python, Node.js, and React
• Entrepreneurial mindset-hungry, resourceful, and ready to own the outcome
• Proficiency in AWS and building production SaaS applications
• Exposure to AI/ML concepts, especially chatbots and retrieval-augmented generation
• Exceptional communication and collaboration skills
• Must be NYC-based or open to relocating for a hybrid culture

The Benefits:

As a Founding Engineer, you’ll receive a $150,000 – $180,000 salary plus a performance-based bonus, along with equity. You’ll also help shape the future of a company with massive upside, clear product-market fit, and a team ready to move fast.

Keywords

Founding Engineer, Fullstack, Python, React, Node, AI, LangChain, SaaS, Hospitality Tech, NYC, Startup, Agentic Workflows, Dynamic Pricing, Technical Co-Founder

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