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Senior Data Scientist – Fintech

$170,000-$190,000 + bonus + benefits

Remote

About the Organization

Join a global financial services company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization’s innovation hub, focused on applying AI, LLM, and data science to create forward-looking tools.

The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.

About the Role

This is a model building / development-focused role-ideal for someone with a strong foundation in applied NLP research and a passion for making machine learning work in the real world. You’ll own experiments, iterate on PoCs, and help define how ML models are built for in production environments.

What You’ll Bring

• 5+ years of data scientist (modeling) experience in applied research and production environments
• PhD in Computer Science, Computational Linguistics, Statistics or similar highly preferred
• Experience with LLMs and agents
• Background in: NLP: Named Entity Recognition / NER, information extraction, and information retrieval
• Cloud environments (provider-agnostic), AWS or GCP a plus
• Python, PyTorch, TensorFlow, Hugging Face, BERT, RAG experience preferred
• Publication and patent history a plus
• Strong collaboration and communication skills, including experience working with non-technical stakeholders
• Independent problem-solver with a proactive mindset

Preferred Experience

• Technical leadership on NLP products
• Experience delivering LLM-based solutions
• Familiarity with all stages of the AI product lifecycle
• Startup or fast-paced innovation environment experience

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | Applied Research | Production | AI | Artificial Intelligence | Publications | Patents | PyTorch | Python | Deployment | Hugging Face | RAG | Retreival Augmented Generation | Agents | NLP | Natural Language Processing | Chatbots | NER | Information Extraction | Information Retrieval

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Director of Analytics
Industry: Health, Wellness
Compensation: $180,000 – $200,000 base + bonus
Location: Greater Boston Area (Hybrid)

Are you an experienced analytics leader ready to take the reins at one of the most recognized brands in the fitness industry? This is a fantastic opportunity for someone who thrives at the intersection of data strategy and business execution, and who’s eager to lead a high-impact analytics team in a collaborative, mission-driven environment.

THE ROLE – Director of Analytics
Our client is seeking a technically strong, business-focused Director of Analytics to head up enterprise-wide analytics efforts. In this role, you’ll guide a lean team of analysts while partnering cross-functionally with senior leaders in Consumer Insights, Marketing, and Operations to drive growth and operational efficiency.

They’re looking for a leader who blends strategic vision with hands-on execution and brings expertise in predictive analytics, digital performance measurement, and enterprise reporting. You’ll be responsible for turning complex datasets into clear, actionable insights that inform key decisions across the business.

KEY RESPONSIBILITIES

• Lead and mentor a team of analysts supporting business-wide analytics initiatives

• Develop and implement analytics strategies that align with growth and efficiency goals

• Partner with cross-functional teams to define KPIs and build insights-driven strategies

• Translate business challenges into scalable data solutions, reports, and dashboards

• Oversee the implementation and use of tools like Power BI, Tableau, SQL, Python/R

• Leverage web and digital analytics (Google Analytics, GA4) to optimize user journeys and digital channel performance

• Set and maintain enterprise-wide analytics standards and reporting frameworks

• Present key insights and recommendations to executive stakeholders

YOUR BACKGROUND

• Extensive experience in enterprise analytics, with a strong track record of measurable business impact

• Proven success leading complex analytics projects tied to revenue growth and cost savings

• Technical proficiency in modern analytics tools: Power BI, Tableau, SQL, Python or R

• Deep knowledge of digital analytics platforms, especially Google Analytics

• Excellent communication skills, with a focus on simplifying complex data for executive-level audiences

• Experience leading small, high-performing analytics teams

• Ability to thrive in a dynamic, high-visibility, cross-functional setting

BENEFITS
As Director of Analytics, you’ll earn up to $200,000 depending on experience, plus a comprehensive bonus structure and highly competitive benefits package.

HOW TO APPLY

To express interest, please send your resume to Sam Willman via the Apply link on this page.

KEYWORDS:
Analytics, Predictive Analytics, Data Strategy, BI Tools, Fitness, Wellness, SQL, Python, R, Tableau, Google Analytics, Consumer Insights, Marketing Analytics, Enterprise Reporting, Team Leadership, Digital Performance, GA4, Dashboarding

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Head of Data

Education

$280,000 – $290,000 + Bonus

NYC – Hybrid

THE ROLE- Head of Data

A leading Education organization is seeking a strategic and forward-thinking Head of Analytics to lead its enterprise-wide analytics and data science functions. This is a high-impact, highly visible role, engaging regularly with executive leadership and senior stakeholders to drive data-informed decision-making across the organization.

The role offers a unique opportunity to build on a strong foundation while shaping the future direction of analytics capabilities to support a fast-moving and high-growth environment.

KEY RESPONSIBILITIES:

• Define and drive the vision for enterprise analytics, delivering insights that support critical decisions and strategic priorities.
• Lead a high-performing team of analytics and data science leaders, fostering innovation, collaboration, and high standards of delivery.
• Build trusted partnerships with executives and department heads to proactively identify data needs and opportunities.
• Ensure timely, accurate, and impactful analytics, dashboards, and reports that empower teams at all levels.
• Identify and implement opportunities to automate analytics workflows and integrate emerging AI tools and methods.
• Work closely with technology teams to streamline data flow, improve quality, and enhance access across systems.
• Develop a deep understanding of the organization’s operations to ensure analytics solutions are contextually relevant and actionable.

YOUR SKILLS AND EXPERIENCE:

• Ample experience in analytics, data science, or business intelligence, with several years managing teams.
• Experience across multiple industries, with an ability to adapt quickly and apply best practices to new contexts.
• Strong ability to convey complex data concepts clearly to executive and non-technical audiences.
• Comfortable in ambiguous environments, as this this role requires initiating solutions, not waiting for requests.
• Brings a long-term vision for data and analytics, coupled with the ability to execute quickly and effectively.

BENEFITS – Head of Data

As a Head of Analytics, you can expect to earn up to $290,000 (depending on experience), a bonus, + highly competitive benefits

HOW TO APPLY?:

Please register your interest by sending your Resume to Sam Willman via the Apply link on this page

KEYWORDS:

SQL, Education, Python, Data Science, Data Scientist, Enterprise, Enterprise Analytics. Analytics, Advanced Analytics, Engineer, Engineering,, Manage, Management, Leadership, Dashboard, Dashboarding, Tableau, Looker

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VP of Analytics
New York City (Hybrid)
Education
Salary: $270,000 – $300,000 + Bonus

Harnham is currently supporting a high-growth organization in the education sector as they look to appoint a VP of Analytics. This is a senior leadership role within a well-established and innovative technology division, responsible for enabling data-driven decision-making across the enterprise.

Overview

The organization is undergoing a significant digital transformation and views data as a key strategic asset. The VP of Analytics will lead a multifunctional team and oversee enterprise data architecture, reporting, advanced analytics, and data science. This individual will play a critical role in ensuring accurate, timely, and actionable insights are available to inform decisions at all levels of the business.

Key Responsibilities

• Build strong relationships with stakeholders across the business to understand and serve their data needs
• Lead and develop the enterprise data and analytics function, maintaining high standards for data quality, delivery, and insight
• Oversee data engineering and analytics processes, ensuring scalability and efficiency through automation and standardization
• Present complex data findings in a clear and actionable manner to senior leadership and non-technical audiences
• Develop and drive the strategic roadmap for analytics and AI adoption across the organization
• Collaborate with technology teams to optimize data flow and system integration
• Ensure best practices in data governance, visualization, and statistical modeling

Required Experience

• Strong track record of managing large-scale data teams encompassing data engineering, visualization, and data science
• Advanced proficiency in statistical modeling, predictive analytics, machine learning, and time-series analysis
• Hands-on experience with tools such as Python, Java, SQL, and cloud platforms like AWS or Azure
• Deep knowledge of BI platforms such as Looker, Power BI, or Qlik
• Exceptional communication and stakeholder management skills, with the ability to influence executive leadership
• Experience with agile methodologies and working in fast-paced, resource-constrained environments
• Prior exposure to education, EdTech, or public sector organizations is beneficial but not required

Why Apply?

This is a rare opportunity to lead a high-performing data team at a values-driven organization making a measurable impact in the education space. The successful candidate will play a pivotal role in shaping enterprise data strategy and enabling innovation through analytics.

To learn more or express interest in this role, please contact Oisin Ennis at Harnham for a confidential discussion.

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PLATFORM SUPPORT ENGINEER
CENTRAL LONDON – 2 DAYS PER WEEK IN OFFICE
£45,000 – £50,000 + BENEFITS

Are you a highly motivated and curious individual with a passion for systems administration and a drive to learn and grow within a cutting-edge environment? This is a unique opportunity to join a well-funded and innovative firm that’s reshaping how individuals manage their financial insights.

THE COMPANY:
This company specialises in providing sophisticated financial insight, aggregating vast amounts of data to offer a holistic view across various financial profiles. They help clients understand their life goals and provide actionable insights to help them achieve those ambitions.

Having secured significant later-stage venture capital funding, they manage substantial assets for hundreds of clients. The founders bring diverse expertise from finance and technology, ensuring a company with strong financial backing and a clear vision.

THE ROLE:
You’ll be a crucial part of the engineering team, reporting directly to the Technical Team Lead and working alongside another Platform Support Engineer. This is a fantastic opportunity to gain broad exposure and develop your skills within a sophisticated platform environment.

This role is about being a versatile – someone who loves technology and is eager to jump in and support various aspects of their robust platform. Your primary responsibility will be to provide 1st, 2nd, and 3rd line support, mainly assisting the core Platform Engineering team. This will involve significant system administration work. They are keen to find someone with a passion for the field, perhaps demonstrated through personal projects or a home lab, rather than extensive professional experience.

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have strong communication skills and a curious, proactive personality. They don’t require specific professional experience in a similar role, as passion and potential are key.

• System Administration skills and a keen interest in this area.
• Linux & Network administration knowledge.
• A “self-starter” mentality with a strong passion for technology.

BENEFITS:

• Company bonus scheme.
• Generous holiday allowance (starting at 25 days, increasing to 30).
• Enhanced pension.
• Potential for equity review after probation (not guaranteed).

HOW TO APPLY:
Please send your CV via the Apply link on this page.

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SENIOR SOFTWARE ENGINEER (PYTHON)
CENTRAL LONDON – HYBRID (2-3 DAYS PW)
£100,000 – £110,000 + BONUS & BENEFITS

Are you a Senior Software Engineer passionate about building robust, scalable Python applications in a fast-paced fintech environment? This is a critical hire for a rapidly growing UK fintech, aiming to transform the credit landscape and empower thousands of customers. You’ll join a lean, agile engineering team, playing a pivotal role in a major tech transformation including a brand-new mobile app. If you’re a hands-on technical leader who thrives on impact and is excited by fintech and AI, this is your chance.

THE COMPANY:
This profitable fintech, with a strong Glassdoor rating, is disrupting the credit market by offering fairer financial products to those with limited credit histories. They’re in growth phase, and operate with the agility of a startup despite their success. You’ll contribute directly to products impacting customers, joining a team of around 100 people. Significant investment in their tech platform means your work will be at the forefront of innovation.

THE ROLE:
As a Senior Software Engineer, you’ll be a key player in a dynamic ~8-person engineering team, reporting to the Engineering Manager. This is a hands-on, end-to-end Python engineering role with no direct line management, focused on technical excellence and mentorship.

Your core responsibilities will include:

• Architecting, designing, and building scalable web platforms and APIs using Python.
• Collaborating in 2-week sprint cycles on diverse projects, from greenfield mobile app development to core platform enhancements.
• Contributing to testing strategies, CI/CD pipelines, and influencing architectural decisions.
• Mentoring peers and championing rapid, iterative development in a lean, fast-paced culture.

YOUR SKILLS AND EXPERIENCE:

• 7+ years in software development at a senior level.
• Strong backend Python engineering background (FastAPI, Flask, or Django preferred).
• Experience with AWS (Azure acceptable), Agile practices, and CI/CD.
• Some frontend awareness (React).

BENEFITS:

• Company bonus scheme.
• Generous holiday allowance (starting at 25 days, increasing to 30).
• Enhanced pension (with 4x base salary life cover).
• Training, mentoring, and career development.

HOW TO APPLY:
Please send your CV via the Apply link on this page.

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MLOps Engineer
London
£60,000-£70,000

About the Role:
Join a cutting-edge technology company at the forefront of immersive experiences powered by machine learning and extended reality. We are seeking a skilled MLOps Engineer to help build, deploy, and maintain scalable machine learning infrastructure that drives innovation in our products. You will play a critical role in developing scalable ML infrastructure that powers immersive XR applications with real-time 3D content.

Key Responsibilities:

• Design, develop, and maintain scalable MLOps pipelines tailored for XR applications, ensuring smooth deployment and monitoring of machine learning models.
• Collaborate closely with 3D artists and XR developers to integrate machine learning workflows with 3D rendering engines.
• Optimize ML models and workflows for real-time inference within 3D environments and XR platforms.
• Manage cloud infrastructure and automation tools to support continuous integration and continuous deployment (CI/CD) of ML models.
• Troubleshoot and resolve performance bottlenecks related to ML inference and 3D rendering workloads.
• Develop monitoring solutions to track model performance and system health in production.
• Stay up to date with the latest trends in MLOps, XR technologies, and 3D rendering techniques to propose innovative improvements.

Qualifications:

• Proven experience as an MLOps engineer or similar role with a focus on 3D applications
• Strong programming skills in Python, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.)
• Expertise in 3D reconstruction and rendering
• Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker)
• Excellent problem-solving skills and ability to work cross-functionally in a fast-paced environment

Please register your interest for this role by sending your CV to Rosie O’Callaghan via the apply link on this page

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BI Analyst
Up to £60,000
Fully remote

THE CLIENT
This is an exciting opportunity to join an industry-leading organisation in the finance sector.

THE ROLE
This role is part of a centralized team that supports the data requirements across the entire organization. You will manage the full data lifecycle, including data extraction, transformation, and loading.

SKILLS AND EXPERIENCE
SQL
Cloud Service – Azure, AWS or GCP
Financial services or similar industry experience

NICE TO HAVE
Python
Snowflake

APPLY
Send an email or apply below to register your interest.

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LEAD DATA SCIENTIST

HYBRIDE – UP TO 80K€ FIXES

Python – Docker – AWS

L’ENTREPRISE

C’est une entreprise reconnue dans le secteur automobile depuis plusieurs années. Elle intervient principalement dans la distribution et les services liés aux véhicules. Implantée sur plusieurs marchés, elle mise sur son expertise et son dynamisme pour accompagner ses clients.

LES MISSIONS

En collaboration avec le Directeur Data, vous rejoindrez une équipe de 10 personnes, vous serez en charge de la structuration des pratiques de Data Science. Vos missions seront les suivantes :

• Développer et déployer des modèles de Machine Learning pour répondre aux besoins métiers
• Assurer la maintenance évolutive des modèles
• Définir et mettre en oeuvre les méthodologies de Data Science
• Être orienté business et résultat

VOTRE PROFIL

• Bac+5 au sein d’une école d’ingénieur ou université en mathématiques, statistiques ou probabilités
• Minimum 4 ans d’expérience sur un rôle de data science dans des environnements en production
• Solide maîtrise de Python, Docker et un cloud public
• Niveau d’anglais B1

POUR POSTULER

Merci de me faire part de votre CV et je vous recontacterai au plus vite.

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