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We’re looking for a Lead Data Scientist to join a fast-paced data team within a major UK retailer.

In this role, you’ll lead the development of data-driven solutions to support marketing strategy using techniques such as machine learning, causal inference, Marketing Mix Modeling (MMM), and experimental design. You’ll work closely with marketing teams and external partners to analyse customer behaviour, optimise marketing performance, and deliver impactful business recommendations.

Key Responsibilities:

• Lead end-to-end data science projects to improve marketing efficiency and ROI.
• Develop models for MMM, customer lifetime value, churn prediction, and channel attribution.
• Partner with stakeholders to design and evaluate marketing experiments.
• Create dashboards and data products for self-serve analytics and real-time insights.
• Ensure high standards in data quality, model governance, and documentation.
• Mentor and support junior team members as a technical lead

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Machine Learning Engineer

Location: New York (Hybrid)

Compensation: $180,000 – $220,000 base salary + Equity

About the Company

We’re partnered with a cutting-edge software company that’s redefining how development teams build, maintain, and scale modern applications. As engineering workflows grow increasingly complex, their intelligent platform empowers teams by deploying AI agents that automate repetitive development tasks, streamline workflows, and enhance productivity. These AI-driven systems are already transforming the software development lifecycle in dynamic environments-and the company is now scaling rapidly to meet market demand.

The Role

As an Applied AI/NLP Scientist, you’ll play a key role in designing and deploying advanced NLP and LLM-based solutions that accelerate and enhance software engineering workflows. Working directly with senior technical leadership, you’ll drive projects from early-stage research to production-ready implementations, with real impact on the development process.

Key Responsibilities

• AI Model Innovation: Architect and implement domain-specific LLM/NLP models tailored to the needs of software engineering use cases-code generation, documentation automation, code review assistance, and more.
• Research to Production: Lead end-to-end development of NLP/LLM solutions, from proof-of-concept to scalable production systems.
• Model Optimization: Improve model efficiency and output through fine-tuning, prompt engineering, RAG (retrieval-augmented generation), and inference techniques.
• Cross-Functional Collaboration: Work alongside product managers, developers, and leadership to ensure AI capabilities align with platform strategy and user needs.
• Thought Leadership: Help shape best practices around applied NLP/LLM development, contribute to internal innovation, and author papers or patents where applicable.
• Mentorship: Provide guidance and mentorship to junior ML researchers and engineers.

Your Skills and Experience

We’re looking for a hands-on NLP expert with a passion for building tools that empower developers:

• 2-8 years of experience in applied NLP or LLM-focused system development.
• Proven track record building and deploying NLP/LLM solutions in production.
• Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy).
• Experience working with large, unstructured code and text datasets.
• Background in applied research with an ability to bring experimental models into real-world systems.
• Deep understanding of transformer-based architectures, prompt tuning, fine-tuning, and retrieval-augmented methods.
• Strong communication skills and comfort working in fast-paced, ownership-driven environments.
• Advanced degree (PhD or Master’s) in Computer Science, AI, NLP, or a related field (PhD preferred).
• Bonus: Publications in top-tier AI/ML/NLP venues (e.g., NeurIPS, ACL, ICLR, EMNLP).

The Benefits

• Competitive Pay: $180,000 – $220,000 base + performance bonus + equity
• Innovation Ownership: Contribute directly to product innovation and IP
• Comprehensive Benefits: Health, dental, vision, 401(k), generous PTO, and more

How to Apply

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

To Apply for this Job Click Here

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Senior Machine Learning Engineer

Location: New York (Hybrid)

Compensation: $180,000 – $220,000 base salary + Equity

About the Company

We’re partnered with a cutting-edge software company that’s redefining how development teams build, maintain, and scale modern applications. As engineering workflows grow increasingly complex, their intelligent platform empowers teams by deploying AI agents that automate repetitive development tasks, streamline workflows, and enhance productivity. These AI-driven systems are already transforming the software development lifecycle in dynamic environments-and the company is now scaling rapidly to meet market demand.

The Role

As an Applied AI/NLP Scientist, you’ll play a key role in designing and deploying advanced NLP and LLM-based solutions that accelerate and enhance software engineering workflows. Working directly with senior technical leadership, you’ll drive projects from early-stage research to production-ready implementations, with real impact on the development process.

Key Responsibilities

• AI Model Innovation: Architect and implement domain-specific LLM/NLP models tailored to the needs of software engineering use cases-code generation, documentation automation, code review assistance, and more.
• Research to Production: Lead end-to-end development of NLP/LLM solutions, from proof-of-concept to scalable production systems.
• Model Optimization: Improve model efficiency and output through fine-tuning, prompt engineering, RAG (retrieval-augmented generation), and inference techniques.
• Cross-Functional Collaboration: Work alongside product managers, developers, and leadership to ensure AI capabilities align with platform strategy and user needs.
• Thought Leadership: Help shape best practices around applied NLP/LLM development, contribute to internal innovation, and author papers or patents where applicable.
• Mentorship: Provide guidance and mentorship to junior ML researchers and engineers.

Your Skills and Experience

We’re looking for a hands-on NLP expert with a passion for building tools that empower developers:

• 2-8 years of experience in applied NLP or LLM-focused system development.
• Proven track record building and deploying NLP/LLM solutions in production.
• Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy).
• Experience working with large, unstructured code and text datasets.
• Background in applied research with an ability to bring experimental models into real-world systems.
• Deep understanding of transformer-based architectures, prompt tuning, fine-tuning, and retrieval-augmented methods.
• Strong communication skills and comfort working in fast-paced, ownership-driven environments.
• Advanced degree (PhD or Master’s) in Computer Science, AI, NLP, or a related field (PhD preferred).
• Bonus: Publications in top-tier AI/ML/NLP venues (e.g., NeurIPS, ACL, ICLR, EMNLP).

The Benefits

• Competitive Pay: $180,000 – $220,000 base + performance bonus + equity
• Innovation Ownership: Contribute directly to product innovation and IP
• Comprehensive Benefits: Health, dental, vision, 401(k), generous PTO, and more

How to Apply

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

To Apply for this Job Click Here

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AI/ML MODELER

Cincinnati, OH (Hybrid/Remote)
$150,000-$190,000 + Bonus

Advanced Analytics | Machine Learning | Python | Optimization

THE COMPANY
A global analytics consultancy is expanding its US team and looking for a hands-on AI/ML Modeler to join their applied research group. With a strong focus on solving real-world business problems using advanced data science, this team works across industries to deliver measurable impact.

THE ROLE
As an AI/ML Modeler, you will:

• Develop ML/BI platform features using AI/ML and statistical models
• Conduct applied research in machine learning and optimization
• Collaborate with global teams to support client projects
• Drive innovation through hypothesis generation and experimentation

YOUR SKILLS & EXPERIENCE

• MSc in AI/ML, Computer Science, Engineering, or related field
• 2-3+ years in applied ML or data science roles
• Strong Python skills and familiarity with ML algorithms
• Bonus: NLP, capacity planning, non-linear optimization, big data platforms

BENEFITS

• Competitive salary + performance bonus
• Global project exposure
• High-impact, fast-paced environment
• Career growth in a cutting-edge analytics team

INTERESTED?
Apply now or reach out directly to learn more.

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Director of Agentic Data Infrastructure

Remote USA $250,000 – $300,000 + Bonus

Data Leadership – AI Agents – Operational Intelligence

Are you a hands-on data leader who thrives in fast-paced, high-impact environments? Do you want to build the data infrastructure that powers real-time AI agents, not just dashboards?

A rapidly transforming national services business is looking for a Head of Data & AI Automation to lead the design and delivery of their modern data stack. This is a rare opportunity to shape the data foundation of a company reinventing its operations with AI at the core.

The Company

This US-based company is undergoing a full-scale digital transformation, rebuilding a legacy industry with the speed and ambition of a startup. With AI agents already embedded in routing, pricing, and recruiting, data is not just a support function, it’s the engine.

The Role

As Head of Data & AI Automation, you will:

* Own and evolve the modern data stack (dbt, Snowflake, Fivetran, etc.)

* Ingest and normalize data from fragmented internal and external sources

* Build agent-ready data schemas to power autonomous workflows

* Partner with C-level leadership to deliver real-time insights and automation

* Lead a small, high-performing team of analysts and engineers

Your Skills & Experience

You will be a great fit if you have:

* 7+ years in data, analytics, or engineering roles, with 2+ years in leadership

* Experience in high-volume, operationally complex environments (e.g., logistics, marketplaces)

* Strong technical skills in SQL, dbt, Snowflake, and BI tools

* A deep understanding of how AI agents work, and how to structure data for them

* Bonus: Python, LangChain, or LangGraph experience

Benefits

* Competitive base salary + performance bonus

* Remote-first team with high autonomy

* Full benefits (medical, dental, vision, 401k)

* Direct access to C-suite leadership

* Opportunity to shape the future of a national business through AI

How to Apply

If you’re a builder who wants to lead from the front, and you’re excited about wiring data into real-world AI systems, apply now.

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AI Engineer

Location: New York

Compensation: $180,000 – $220,000 base salary + Equity

About the Company:

We are working with a pioneering fintech, as systems face mounting strain from increased complexity and a shrinking talent pool, there’s a growing need for tools that can adapt, learn, and act independently. Their platform introduces AI agents designed to support experts by handling routine tasks, adapting to diverse workflows, and freeing up time for more strategic work. Already proving effective in demanding environments, it’s now scaling quickly, reshaping how foundational work gets done in a rapidly evolving economy.

THE ROLE

As an Applied AI/NLP Scientist, you will be central to developing and deploying advanced natural language processing solutions that tackle complex challenges in the legal-financial domain. Reporting to senior technical leadership, your work will span early-stage research through production-grade implementation.

Key Responsibilities:

• AI Model Innovation: Design and implement novel NLP and LLM architectures tailored for domain-specific applications across legal and financial datasets.
• Research to Production: Own projects from prototyping through production, leading 0-to-1 development of scalable NLP systems.
• Model Optimization: Enhance model performance through fine-tuning, prompt engineering, retrieval augmentation, and inference optimization.
• Cross-Functional Collaboration: Work closely with product, engineering, and executive teams to align AI capabilities with strategic goals.
• Thought Leadership: Help shape internal best practices in applied NLP/LLM development, and contribute to research papers and IP generation.
• Mentorship & Guidance: Provide technical insight and mentorship to junior researchers and engineers.

YOUR SKILLS AND EXPERIENCE

We’re seeking an experienced, hands-on NLP practitioner with a deep understanding of AI system development:

• 2-8 years of professional experience in applied NLP or LLM-based system development.
• Strong foundation in building and deploying NLP models in production settings.
• Proficiency with Python and modern ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy, etc.).
• Demonstrated experience scaling models across large, unstructured datasets.
• Applied research background with a proven track record of translating research into real-world tools and platforms.
• Deep understanding of LLM architectures, fine-tuning, prompt engineering, and retrieval-augmented generation (RAG).
• Excellent communication skills and comfort working in agile, high-ownership environments.
• PhD or Master’s degree in Computer Science, AI, Computational Linguistics, or related field (PhD preferred).
• Publication record in respected AI/NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR) is highly desirable.

THE BENEFITS

• Competitive Compensation: Base salary of $180,000 – $220,000 + performance bonus
• Innovation Ownership: Drive the development of novel NLP applications and contribute to IP
• Remote Flexibility: Work from anywhere in the U.S.
• Full Benefits: Health, dental, vision, 401(k), generous PTO, and more

HOW TO APPLY

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

To Apply for this Job Click Here

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Associate Director, Omnichannel Data Science

Remote – US

$200,000 base + 20% bonus

Shape the Future of Pharma Engagement with Data & Analytics

This is your chance to step into a newly created leadership role at a top-tier global pharmaceutical company that is redefining how they connect with patients and healthcare professionals. With record-breaking growth behind them and a multi-year investment in analytics ahead, they’re building one of the most advanced data science teams in the industry.

As the Associate Director, Omnichannel Data Science, you won’t just inherit a playbook-you’ll write it. You’ll lead efforts to build in-house Marketing Mix Modelling, design cutting-edge recommendation systems, and drive the Next Best Action strategy for a flagship therapeutic brand.

Why This Role Matters

Your work will directly influence how millions of patients and providers experience healthcare communications. From optimizing investment decisions to personalizing engagement, you’ll be driving the strategies that fuel both commercial success and patient impact.

What You’ll Lead

• Developing in-house Marketing Mix Modelling in Python
• Creating and scaling Next Best Engagement models
• Partnering with senior leaders across marketing and commercial to translate analytics into action
• Defining KPIs that set the standard for omnichannel effectiveness

What You Bring

• Deep expertise in Marketing Mix Modelling and advanced statistical techniques
• Proficiency in Python and SQL
• Strong STEM background with a passion for data-driven problem solving
• Experience working with digital marketing / media datasets
• Exceptional communication and stakeholder management skills
• (Pharma background is a plus, but not essential)

The Package

• Base salary up to $200,000
• 20% bonus
• 6% 401k match
• Full medical, dental, vision, generous PTO

Location: Remote, US (Central Time Zone preferred)

Ready to lead the next wave of analytics innovation in pharma? Apply now or reach out for a confidential discussion.

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Senior Credit Strategy Analyst

Wilmington, DE (Hybrid – initially remote)

Up to $135,000 + equity + benefits

Help Redefine Access to Credit in a Mission-Driven FinTech

This isn’t just about crunching numbers. As a Senior Credit Strategy Analyst, you’ll sit at the core of a rapidly growing fintech that’s using data and innovation to transform access to affordable credit. Backed by strong funding and nationwide expansion plans, this is your chance to have a direct voice in shaping lending strategies that balance growth, risk, and inclusion.

Your Role

You’ll design, test, and optimize credit policies that drive portfolio performance while opening access to more customers. Working alongside senior leadership, you’ll bring data to life through strategies that make an immediate impact on how lending decisions are made.

What You’ll Do

• Develop and optimize strategies across approvals, line assignments, pricing, and collections
• Analyze portfolio trends to uncover risks and opportunities for improvement
• Build, monitor, and refine models in SQL and Python
• Partner with product, finance, and operations to translate insights into decisions
• Champion innovative approaches to credit decisioning and measurement

What You Bring

• 3-5 years’ experience in credit risk, credit strategy, or portfolio analytics (consumer lending/credit cards preferred)
• Strong SQL skills (Python or R also valuable)
• Experience with credit policy design and/or risk model monitoring
• An analytical mindset with the confidence to influence senior stakeholders
• A passion for using data to solve complex business problems in lending

Why Join?

• Be part of a mission-driven fintech expanding nationwide
• Exposure to senior leadership and high-impact decision-making
• Competitive salary, benefits, and equity package
• Clear growth trajectory as the company scales

Ready to help shape the future of consumer credit? Apply now.

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A leading home services SaaS company is hiring a Head of Data & AI to define and scale its data strategy. This role will oversee the development of modern data platforms and AI capabilities that power customer personalization, operational efficiency, and business growth.

Responsibilities

• Build and manage a modern data stack (dbt, Snowflake, Fivetran, BI tools).
• Ingest and normalize data from multiple sources to power real-time operations and reporting.
• Partner with executives to structure data for AI-driven workflows (routing, pricing, recruiting, logistics).
• Deliver critical dashboards and unify reporting across the business.
• Lead and grow a small team of analysts and engineers.

Requirements

• 7+ years in data, analytics, or engineering, including 2+ years in leadership.
• Strong technical skills: SQL, dbt, data warehousing, BI tools.
• Experience in high-volume, operationally complex businesses (services, logistics, marketplaces).
• Passion for AI agents and their application in real operations.
• Bonus: Python skills, exposure to LLM frameworks, or background in logistics optimization.

What They Offer

• Competitive base + performance bonus.
• Remote-first culture with full benefits.
• High autonomy and direct exposure to executive leadership.

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Credit Risk Manager

Wilmington, DE (initially remote, hybrid long-term)

$170,000 + bonus + equity

Shape Credit Risk Strategy at a High-Growth FinTech

This isn’t just another credit risk role. It’s a chance to step into a scaling Series B lender where data drives every decision – from product design to customer engagement. With a unique lending product, high-calibre leadership, and rapid growth plans, this company is building a best-in-class risk function at the very heart of its business.

As a Credit Risk Manager, you’ll design, test, and implement strategies that optimize for both growth and risk, grounded in NPV methodology. You’ll work across teams, have direct exposure to senior leadership, and play a pivotal role in shaping the lending strategy that defines the company’s future.

What You’ll Do

• Lead the development and optimization of lending and credit risk strategies, balancing growth with risk appetite
• Apply NPV-driven decision frameworks to underpin business-critical strategies
• Work hands-on with SQL and Python to interrogate data, run models, and build insights
• Partner cross-functionally with product, operations, and leadership to implement changes at pace
• Take the opportunity to grow into leading a small, high-performing analytics team as the business scales

What You Bring

• Experience solving credit risk or lending strategy problems in a consumer finance environment
• Proven ability to drive strategic decisions using data and advanced analytics
• Strong foundation in NPV-based decision-making
• Proficiency in SQL (daily use) and ideally Python
• A track record of impact and performance in previous roles
• Strong academic background (STEM or quantitative field a plus)

Why Join?

• Early impact: Your work will directly influence the growth and risk trajectory of the company
• Career growth: Opportunity to step into leadership as the team expands
• Reward: $170,000 base + bonus + equity
• Culture: A lean, collaborative team where data is at the center of everything

Ready to make your mark in credit risk at a fast-paced fintech? Apply today.

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A $3B+ Series E SaaS leader in ecommerce technology, is seeking a Senior Software Engineer to join its Data Platform team. The role centers on scaling the data infrastructure that powers personalization, experimentation, and analytics across their global platform.

What You’ll Work On

• Design and build real-time and batch data pipelines at massive scale
• Develop systems using Apache Spark (open source version) running on Kubernetes
• Work with Kafka, Airflow, dbt, Delta Lake, and Iceberg for full-lifecycle data management
• Tackle problems in query optimization, auto-scaling, streaming infrastructure, and lakehouse governance
• Drive platform reliability, performance, and observability
• Partner with cross-functional teams (ML, infra, analytics) to deliver business-critical data products

About You

• 5+ years (or 3+ with a graduate degree) of experience building scalable distributed systems or data platforms.
• Skilled in writing clean, efficient code in languages like Java, Python, Scala, or Go.
• Practical experience with modern data tech – distributed query engines, streaming frameworks, and open table formats.
• Strong grasp of SQL, data modeling, query tuning, plus solid Linux and scripting knowledge.
• Customer-focused mindset with the ability to turn requirements into reliable, scalable solutions.
• Clear, collaborative communicator across teams and stakeholders.

Why Join

• Impact & Ownership: Shape mission-critical infrastructure used globally
• Greenfield Engineering: Newly formed team focused solely on the data platform
• Fast-Track Growth: Promotion reviews 4x/year
• Engineering-First Culture: Smart, humble teammates solving hard problems fast
• Strong Compensation: Base + equity + benefits
• Perks: One week/year working remotely from anywhere + annual retreat abroad

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Job Description: IT Operations Manager

Position: Azure Data Architect/IT operations manager

Location: Amsterdam

Employment Type: [Full-time/Contract]

About the Role

This company are looking for an experienced hire they need an IT operations manager who is very broad on infrastructure, has some leadership experience has also worked as an architect.

The ideal candidate will have deep expertise in Microsoft’s Cloud Adoption Framework (CAF), enterprise-scale landing zone design, and the ability to navigate the complexities of large-scale, multi-region environments.

Key Responsibilities

• Architect and implement enterprise-scale Azure data landing zones that support global operations, ensuring scalability, performance, and security across multiple regions.
• Collaborate with global business and IT stakeholders to design data platforms aligned to corporate strategy and industry best practices.
• Define and enforce governance, compliance, and security standards (e.g., RBAC, encryption, data residency, privacy regulations).
• Establish repeatable frameworks and patterns for data ingestion, transformation, storage, and analytics in large-scale environments.
• Partner with engineering teams to deliver end-to-end data solutions using Azure services (Data Lake, Synapse, Databricks, Data Factory, Purview, Event Hubs, Azure SQL).
• Lead data modernization initiatives, including cloud migrations from legacy and hybrid environments.
• Optimize for global scale and performance, including multi-region replication, disaster recovery, and cost management.
• Mentor teams and provide architectural leadership across multiple business units and time zones.
• Stay at the forefront of Azure innovations, driving adoption of new features and services to improve enterprise capabilities.

Qualifications

• 10+ years of experience in data architecture, with at least 5+ years building solutions on Azure.
• Leadership knowledge preferred
• Proven experience designing and deploying Azure Landing Zones at enterprise scale.
• Hands-on expertise with Azure Data Services: Data Lake, Synapse, Databricks, Data Factory, Event Hub, Azure SQL/MI, and Purview.
• Strong knowledge of global-scale architecture, including data residency, sovereignty, and compliance (GDPR, HIPAA, etc.).
• Experience managing large, multi-region cloud environments in a global enterprise.
• Proficiency with Infrastructure as Code (Terraform/Bicep/ARM) and DevOps practices for data platform deployment.
• Demonstrated ability to influence senior stakeholders and communicate complex technical concepts clearly.
• Preferred certifications: Azure Solutions Architect Expert, Azure Data Engineer Associate, Azure Security Engineer Associate.

Why Join Us

• Play a strategic role in shaping a global Azure data platform at enterprise scale.
• Work with cutting-edge cloud, data, and AI technologies in a complex, international environment.
• Collaborate with a diverse team across multiple regions, impacting business decisions worldwide.
• Competitive compensation, global career growth opportunities, and a culture of innovation.

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