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Google Analytics Consultant – 1 day a month in London

We’re looking for an Enablement Lead to drive complex digital projects for global clients. You’ll lead workstreams across data collection and activation-leveraging tools like Adobe and Google Analytics-while coordinating developers, stakeholders, and cross-channel teams to deliver high-impact solutions.

What You’ll Do

• Act as the primary client contact, managing digital projects across 6 core service areas.
• Translate complex client needs into actionable plans, with clear documentation and oversight.
• Lead implementations in analytics, CRO, personalisation, or insights.
• Use data and research to shape testing and optimisation strategies.
• Provide tool training and strategic advice.
• Be seen as a subject matter expert in one or more service areas.

What You’ll Bring

• 1-5+ years’ experience with Adobe or Google Analytics
• Proven ability to manage both Data Collection and Data Activation workstreams.
• Excellent communication, documentation, and project management skills.
• Strong organisational habits and comfort with a dynamic, self-led role.
• Advanced proficiency in MS/Google Office tools.

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Web Analyst Consultant
Up to £60,000 + bonus and benefits
Remote – 1x day in London office per month

THE COMPANY
I’m currently recruiting for the Google Analytics 4 (GA4) Enablement Lead for a digital agency in London.

THE ROLE
In this role, you will have the opportunity to advise clients on GA4 implementations and insights, supporting them from proof of concept through to final delivery. This position is ideal for a GA4 expert who is passionate about both the platform and client engagement. While prior agency experience is not essential, the successful candidate will demonstrate a strong enthusiasm for building and nurturing client relationships while serving as a trusted GA4 specialist

SKILLS AND EXPERIENCE
GA4 Implementation and Insight
Prior agency experience is desirable

APPLY
Send an email or apply below to register your interest. Please note my client cannot offer sponsorship

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Director of Data Science

LOCATION: Remote (US-based)

SALARY: $190,000 – $215,000 + bonus

INDUSTRY: FinTech / Consumer Services

Are you a visionary data science leader with a passion for delivering real business impact? A high-growth, mission-driven consumer services organization is looking for a Director of Data Science to lead and scale their machine learning practice. This is a unique opportunity to drive enterprise-level value through operationalized AI while partnering with senior leadership to influence strategy.

THE COMPANY

This organization is a well-established player in the financial services space, serving millions of consumers with a mission to create better financial outcomes. With a fast-evolving data function and strong executive buy-in, they’re investing heavily in AI/ML to transform decision-making, automate key workflows, and unlock new product capabilities.

THE ROLE

As Director of Data Science, you’ll lead a high-performing team of data scientists and a product manager, owning the end-to-end lifecycle of machine learning models-from ideation to production. You’ll work cross-functionally with engineering, product, and operations teams to scope high-ROI initiatives and ensure scalable, ethical deployment of models via batch inference and real-time APIs.

This is a highly visible role reporting to executive leadership, offering autonomy, strategic influence, and the opportunity to shape the future of AI across the business.

KEY RESPONSIBILITIES:

• Lead, mentor, and grow a team focused on building production-grade ML models aligned with business goals.
• Drive the discovery, prioritization, and ROI evaluation of new data science initiatives.
• Architect and oversee the full ML lifecycle-development, deployment, monitoring, and retraining.
• Collaborate with data engineering and MLOps teams to ensure scalable and reliable pipelines using Snowflake, DataRobot, and real-time APIs.
• Champion best practices in model governance, explainability, and responsible AI.
• Present insights and strategy recommendations to executive stakeholders in a compelling, accessible manner.

YOUR SKILLS & EXPERIENCE

Required:

• 10+ years in data science or machine learning, with 2+ years in a formal leadership or player-coach role.
• Strong expertise in Python and SQL, with deep understanding of supervised and unsupervised learning.
• Proven experience deploying and monitoring ML models in production environments (batch and real-time).
• Track record of cross-functional collaboration with engineering, product, and business leaders.
• Familiarity with model deployment platforms like DataRobot, Sagemaker, or similar.
• Experience with Snowflake-native ML or integrated MLOps workflows.
• Strong communication skills and business acumen-able to influence at the executive level.

Nice to Have:

• Background in financial services, lending, or high-volume consumer products.
• Exposure to prescriptive analytics and optimization techniques.

BENEFITS

• Competitive compensation and equity
• Fully remote flexibility
• Comprehensive benefits package
• High-visibility role with executive sponsorship
• Opportunity to build a cutting-edge ML function from the ground up

HOW TO APPLY

Please send your CV to Gabriella Ferrara at Harnham to learn more about this exciting opportunity.

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Director of Applied AI – GenAI, NLP, and Intelligent Automation

Location: Remote – US Based

Compensation: $200,000 – $215,000 base + bonus

ABOUT THE COMPANY

We’re partnered with a fast-scaling consumer tech business undergoing a digital transformation, with executive-level buy-in for AI initiatives. The company is focused on deploying cutting-edge Generative AI to transform internal operations, client engagement, and revenue-driving functions.

They’re now hiring a Director of Applied AI to lead strategy and delivery across intelligent agents, GenAI search assistants, document AI, and productivity tools. This is a rare opportunity for a hands-on AI leader to shape and scale a newly built function with real-world business impact.

THE ROLE

Reporting into the VP of Data & AI, you’ll own the roadmap, vendor strategy, and technical execution for applied AI across the enterprise. You’ll manage a small but growing team and be responsible for building the playbook for responsible, scalable AI implementation.

Key Responsibilities:

• Define and lead the Applied AI strategy across sales, customer support, employee productivity, and analytics.
• Deliver solutions including:
• GenAI-powered digital and voice agents
• RAG + LLM-based internal knowledge assistants
• OCR and intelligent document processing
• AI-powered insights and summarization
• Evaluate and integrate AI vendor solutions, prioritizing “buy over build.”
• Partner cross-functionally with Product, Engineering, and Operations to translate business needs into scalable AI capabilities.
• Oversee prototyping, technical evaluation, and deployment of third-party AI tools.
• Build and maintain execution roadmaps, business alignment, and governance standards.
• Stay current on GenAI trends, vendor landscape, and tools to evolve strategy over time.

YOUR SKILLS AND EXPERIENCE

• 6-10+ years in Data Science / ML / Applied AI, with 2+ years in a leadership role.
• Strong hands-on experience with Python, GenAI APIs, LLM frameworks, and vector databases.
• Proven delivery of production-grade digital or voice AI agents.
• Deep understanding of prompt engineering, RAG pipelines, and LLM deployment.
• Familiarity with Salesforce workflows, voice AI for telephony platforms, and enterprise SaaS procurement.
• Strong business judgment and stakeholder communication skills.
• Prior experience working in regulated or high-volume environments (e.g., financial services, healthcare, B2C platforms).
• Exposure to enterprise ML platforms (e.g., Snowflake, DataRobot) is a plus.

THE BENEFITS

• Executive-Level Compensation: $200,000-$215,000 base + bonus
• Remote-First Environment
• Growth Opportunity: Lead and grow a foundational AI function with direct business impact
• Full Benefits Package: Healthcare, 401(k) (9%), PTO, and additional wellness perks

HOW TO APPLY

Submit your resume to Luc Simpson-Kent via the Apply link. We’re excited to connect with hands-on AI leaders ready to own and scale GenAI innovation across a dynamic enterprise.

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SENIOR/STAFF FULL STACK ENGINEER

SEMI-REMOTE

£100-115K

THE COMPANY

Love building software that genuinely changes how people work? This ambitious visual tech company is creating best-in-class tools for corporate professionals-turning traditionally tedious workflows into a sleek, fast, and intelligent experience. Think replacing hours of manual work with tinkering with real-time, intuitive tools.

THE ROLE

As a Senior/Staff Full Stack Engineer, you will design and deliver end-to-end features that elevate the user experience and drive technical excellence. You’ll shape architecture, guide engineering standards, and unblock teams to deliver impactful products at scale. Challenges include visual complexity, large-scale data relationships, and real-time rendering.

Specifically, you can expect to be involved in the following:

• The platform: managing diagrams, ensuring usability, improving canvas performance
• Develop continuous enhancements based on user feedback and client needs
• Lead upcoming Initiatives
• Solving visualisation and performance challenges across a complex data and UI layer
• Collaborating closely with cross-functional squads including PMs, designers, and SDETs
• Scaling infrastructure and deployments
• Providing mentorship and setting technical direction for squads

SKILLS AND EXPERIENCE

The successful Full Stack Engineer will have the following skills and profile:

• Experience across the full stack with strong frontend architecture skills
• Excellent communication skills with a collaborative, humble mindset
• Passion for building tools that are both beautiful and functional
• Strong grasp of scalable architecture and working in fast-paced, high-ownership environments
• Technologies: ASP, C# and/or .NET; React and/or Vue (Typescript); Azure;

BENEFITS

The successful Full Stack Engineer will receive the following benefits:

• Salary between £100,000 – £115,000, depending on experience and seniority level (Senior or Staff)
• Flexible semi-remote working (with once-a-month visits to London office)
• Health Assured employee wellbeing program
• Pension contribution
• Personal development budget
• And more

HOW TO APPLY

Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

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SENIOR SCORECARD MODELLER

£50,000

LONDON

THE COMPANY

We’re working with a unique London Lender that are in an exciting period of growth. They are well established in their lending and are now looking to grow out their analytics function, with the opportunity to really influence the direction of the business. This is a unique opportunity for someone to really add value and progress into the long term, helping a business with ethical lending at the forefront of their work.

THE ROLE

• End-to-end development of a range of scorecard models, across the full lifecycle
• Using Open Banking data to enhance lending and drive business decisions
• Working on wider scorecard monitoring and implementation to improve lending decisions
• Wider work on portfolio analysis and using models to enhance risk performance and lending strategy

YOUR SKILLS AND EXPERIENCE

• 4+ years’ experience in consumer lending is essential
• Prior experience in developing scorecard models is essential
• Experience using SAS, SQL or Python – Python would be the preference here
• Experience working with Open Banking data is highly desirable

HOW TO APPLY

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

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Manager | Data Management | Investment Management Consultancy

Location: London (Hybrid – 2/3 days in office or on client site per week)

Lead Data-Driven Transformation at the Core of Investment Operations

A top-tier consultancy with a specialised focus on the Investment Management & Wealth sector is seeking a Data Management Manager to lead delivery across strategic client programmes. With a reputation for hands-on transformation and platform delivery expertise, the team works at the heart of clients’ businesses – re-engineering their core operations through technology and data-led solutions.

As part of a high-growth practice shaped by a recent acquisition, you’ll join a collaborative, industry-focused group delivering data initiatives on leading platforms such as Aladdin, SimCorp, and S&P EDM.

Your role:

• Lead teams or workstreams delivering enterprise Data Management solutions to global Investment and Wealth managers.

• Configure and integrate industry-leading platforms across front, middle, and back office operations.

• Work closely with clients to understand operational challenges, data flows, and transformation goals.

• Support major programmes such as State Street Alpha while developing internal capabilities across other platform ecosystems.

• Contribute to practice development and mentor junior team members.

What you’ll bring:

• Leadership experience within Data Management projects or platform implementations.

• Deep knowledge of Investment Management operations, trade lifecycle, and security reference data.

• Strong stakeholder engagement and project delivery skills across agile and waterfall methodologies.

• A practical mindset – you’re hands-on, delivery-focused, and thrive in complex programme environments.

Why join?
This is a great opportunity to work within a fast-growing, high-impact team with access to marquee clients, modern tools, and the support of experienced professionals focused on genuine transformation. Expect a collaborative environment where your leadership can shape real-world outcomes.

Up to £67k plus benefits- Apply with your updated CV to register your interest.

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LEAD DATA ANALYTICS (CDI)
BORDEAUX – 2 jours de télétravail
UP TO 73K€ FIXES + 10% variable

Python – SQL – Tableau

L’ENTREPRISE
C’est une entreprise de jeux en ligne présente dans plusieurs pays. Elle est forte croissance ces dernières années et elle recherche un Lead data analytics pour rejoindre ses équipes.

LE POSTE

Vous intégrerez une équipe en forte croissance, composée de plus de 40 personnes passionnées et vous prendrez le lead de l’équipe analytics.

Vos principales responsabilités :

• Construire, encadrer et accompagner la montée en compétences d’une équipe de 3 data analysts
• Mettre en place les bonnes pratiques et structurer l’équipe
• Apporter un accompagnement technique et métier concret à l’équipe
• Définir l’évolution de la stratégie analytique
• Maintenir des relations étroites avec les parties prenantes internes
• Influencer les équipes métiers lorsque cela est nécessaire pour orienter les décisions
• Fournir des analyses pertinentes accompagnées de recommandations actionnables

LE PROFIL

• Diplôme en école d’ingéieur ou master en université – spécialisations en mathématiques ou statistiques
• 6-7 ans d’expériences en data analyse dont 2 ans sur un rôle de sénior/lead avec du management d’équipes data analytics
• Vous maîtrisez SQL et Python
• Vous possédez d’excellentes compétences en communication
• Vous avez une bonne connaissance de l’industrie du jeu en ligne

POSTULER

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

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Senior Consultant – Data Management | Investment Management Consultancy

Location: London (Hybrid – 2/3 days in office or on client site per week)

Deliver Data Excellence in the Heart of Investment Operations

A high-performing consultancy team specialising in Investment Management and Wealth transformation is hiring a Senior Consultant in Data Management to support enterprise delivery across leading platform ecosystems. With a strong culture of collaboration and a focus on practical outcomes, the team helps clients tackle their most complex data and operations challenges using cutting-edge solutions.

You’ll work with platforms like Aladdin, SimCorp, and S&P EDM to support hands-on transformation at the core of client operations, including engagements within the wider State Street Alpha programme.

What you’ll do:

• Support the delivery of data integration, platform configuration, and process transformation projects.

• Collaborate with client stakeholders across front, middle, and back office to understand operational needs and deliver tailored data solutions.

• Contribute to end-to-end technology transformations using agile and traditional delivery methods.

• Bring energy, insight, and precision to complex, fast-moving projects in a supportive and dynamic team environment.

What you’ll bring:

• Experience in Data Management within Investment Management or Wealth, ideally across large delivery programmes.

• Understanding of financial products, trade lifecycle, and data flows in IM environments.

• Strong analytical and problem-solving skills; comfortable clarifying ambiguous requirements and influencing outcomes.

• Delivery capability with familiarity in tools like Jira or Confluence; hands-on configuration experience is a plus.

Desirable:

• Professional certifications such as AgilePM, Scrum Master, Prince2, or CFA/IMC/IOC.

• Experience in platform implementation or transformation consulting.

• A keen interest in emerging technologies and how they affect the financial services landscape.

Why it’s worth your time:
You’ll join a team where innovation meets practicality. Collaboration is central – you’ll work alongside diverse experts who bring insight and energy to every stage of the transformation lifecycle. It’s a place where your voice matters, and your impact is felt.

The successful candisate will receive a salary circa £50k + benefits. Apply with your updated CV to register interest.

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CREDIT RISK STRATEGY MANAGER

LONDON- HYBRID

UP TO £100,000

Join a leading fintech as a Credit Risk Strategy Manager, you’ll play a pivotal role in ensuring the soundness and profitability of our lending strategy for the credit card portfolio.

THE ROLE

• Developing and optimizing credit risk strategies to enhance decision-making processes.
• Analyzing data to identify trends, assess risk levels, and implement effective risk mitigation strategies.
• Designing and implementing credit risk models and frameworks to support business objectives.
• Monitoring portfolio performance and proactively identifying areas for improvement.
• Collaborating with cross-functional teams to align credit risk strategies with business goals.
• Ensuring compliance with regulatory requirements and best practices in credit risk management.

REQUIREMENTS

• Credit risk experience working within unsecured lending
• Strong analytical skills and proficiency in data analysis tools and techniques- Experience with SQL and python for strategy and data analysis

BENEFITS

• Flexible working and great benefits

HOW TO APPLY

Please apply below or send your CV

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DATA ANALYTICS MANAGER
CDI
Remote
4 jours de présentiel/mois
Jusqu’à 73K euros fixe + 10% variable

Nous recrutons pour le compte d’une scale-up européenne leader sur son marché, un(e) Manager Data Analytics pour structurer et piloter l’équipe dédiée à leur produit phare. Vous rejoindrez une entreprise en forte croissance (x5 en 2 ans), au sein d’une squad stratégique et d’une équipe data de plus de 40 personnes.

Vos Missions :

• Structurer l’équipe Data Analytics (3 personnes en direct)
• Définir et livrer une roadmap produit claire, en lien avec les PO et les enjeux business
• Mettre en place les rituels agiles, les bonnes pratiques, et les outils de suivi (entretiens, people review, etc.)
• Encadrer, faire monter en compétence et recruter de nouveaux analystes
• Porter des projets analytiques à fort impact produit (analyse de performance, recommandations, amélioration continue)
• Collaborer de manière transverse avec les équipes produit, data science, tech et business

Profil Recherché :

• Minimum 6 ans d’expérience en data, dont au moins 2 ans en management d’équipe dans un environnement scale-up
• Expérience en structuration d’équipe : formalisation de process, mise en place de rituels, pilotage RH
• Excellente maîtrise de SQL et Python
• Solides bases en statistiques, probabilités et tests logiques
• Bonne compréhension de l’A/B testing et des protocoles d’expérimentation
• À l’aise avec les outils de datavisualisation
• Connaissance d’Airflow et DBT appréciée
• Anglais courant requis
• Français courant
• Esprit structurant, leadership affirmé, forte motivation et sens du collectif

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