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Director of Analytics & AI
New Jersey / Hybrid | Up to $200k + Bonus

A global specialty insurer is looking for a hands-on leader to sit at the heart of its North America underwriting business and help drive its AI and analytics strategy.

This is a business-facing role, focused on improving underwriting performance, portfolio management and decision-making through data, analytics and AI.

What you’ll be doing:

• Partnering directly with underwriting leaders across North America
• Turning business challenges into analytics and AI solutions
• Leading AI-enabled underwriting transformation initiatives
• Working closely with Data Science, Engineering and Product teams
• Driving adoption of data-led decision making across the business
• Leading and developing a small, high-performing analytics team

What we’re looking for:

• Strong commercial or specialty insurance experience
• Deep understanding of underwriting processes and decision-making
• Experience delivering value through analytics, data science or AI
• Ability to influence senior stakeholders and operate at executive level
• Experience leading teams and driving change across complex organisations

Why consider it?

• Newly created role with significant visibility
• Data & AI are a board-level priority
• Opportunity to shape the future of AI in underwriting
• Blend of strategy, delivery and stakeholder leadership
• Direct impact on underwriting outcomes and business performance

This is an excellent opportunity for someone who understands insurance first and technology second, and wants to play a key role in modernising how underwriting decisions are made.

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AI Associate
Chicago, IL (4 days on-site) | $175,000-$200,000 + Bonus

The Opportunity

A leading investment firm is seeking an AI Associate to drive AI adoption across the business. This is a newly created role with significant ownership and exposure to senior leadership, focused on delivering practical AI solutions that improve efficiency and automate key workflows (internal product build focus).

You’ll be responsible for identifying opportunities, building solutions and driving adoption across investment, operations and corporate teams.

Responsibilities:

• Identify and prioritise high-impact AI use cases
• Assess workflows and uncover automation opportunities
• Build and deploy AI-powered tools and processes
• Partner with business stakeholders to drive adoption
• Measure impact and continuously improve solutions
• Support the firm’s broader AI strategy

Requirements:

• 3-5 years’ experience in Data Science & AI, digital transformation, consulting or operations
• Hands-on experience building AI workflows and automations
• Strong problem-solving and analytical skills
• Ability to translate business challenges into practical solutions
• Excellent stakeholder management and communication skills
• Comfortable working in a fast-paced, evolving environment, whilst also working autonomously.
• Technology – Experience with platforms such as Azure, Databricks, Copilot, Claude, ChatGPT or similar.
• Financial services experience is beneficial but not essential.

Why Join?

• Greenfield role with real ownership
• Direct exposure to senior leadership
• Opportunity to shape AI adoption across the firm
• Visible, measurable impact
• Collaborative and entrepreneurial culture

Package:

• $175,000-$200,000 base salary
• Performance bonus
• 4 days per week in the office
• Catered lunch
• On-site gym
• Additional employee benefits

This is an excellent opportunity for a hands-on AI practitioner who enjoys solving business problems and delivering tangible results.

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HEAD OF ANALYTICS

LONDON | £90,000 – £150,000 + 20% BONUS + BENEFITS
This is an opportunity to lead a business-critical analytics and decisioning function within a highly data-driven financial services environment. Sitting at the intersection of Credit Risk, Analytics, and AI, you’ll shape strategy, influence senior stakeholders, and remain close enough to the detail to drive meaningful change.
THE COMPANY
They are an established financial services business undergoing a significant transformation across analytics, decisioning, and AI adoption. With strong investment in technology and data capabilities, they are focused on using analytics to drive smarter commercial and risk decisions across the organisation.
THE ROLE
* Lead a centralised Analytics & MI function supporting key business areas
* Own the analytics and decisioning strategy, ensuring data drives commercial and risk decisions
* Develop a high-performing team of analysts, managers, and decisioning specialists
* Drive the transition from reporting-focused outputs to actionable business insight
* Oversee the ongoing development of decision engine capabilities and governance
* Champion the adoption of AI tools and automation across analytics workflows
* Partner with senior stakeholders across risk, finance, marketing, and executive leadership
* Remain hands-on with analytics, data, and technical problem solving where required
YOUR SKILLS & EXPERIENCE
* Strong leadership experience within Credit Risk Analytics
* Experience developing and implementing strategies
* Proven ability to influence senior stakeholders and translate insight into business action
* Strong coding capability in SQL and ideally Python
* Experience with modern data environments such as Snowflake, Power BI, or similar technologies
* Practical experience using AI tools to improve analytics processes and decision making
* A genuine interest in the evolving AI landscape and its commercial applications
* Financial services experience preferred, although other highly analytical, data-driven sectors will also be considered
WHAT THEY OFFER
* £90,000 – £150,000 base salary depending on experience
* 20% annual bonus
* Private healthcare
* 7% matched pension
* 25 days annual leave
* Hybrid working with 2-3 days per week in the London office
* Significant exposure to executive leadership
* Opportunity to shape analytics, AI, and decisioning strategy at an organisational level
HOW TO APPLY
Please register your interest by sending your CV through the Apply link.

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HEAD OF ANALYTICS
LONDON | £90,000 – £150,000

This is a rare opportunity to build and lead a newly created Analytics Shared Services function within a growing consumer finance business. Sitting at the centre of credit risk, collections, marketing, and product, you will help shape strategic decision-making, drive analytics innovation, and support the adoption of AI across the organisation.

THE COMPANY
This established financial services business provides lending products to a large UK customer base and is investing heavily in analytics, automation, and decisioning capabilities. They are entering an exciting phase of transformation and are building a central analytics team to support business-wide growth and innovation. This role offers significant visibility and the opportunity to influence strategy at the highest level.

THE ROLE
* Build and lead a function supporting multiple business areas
* Partner with senior stakeholders to deliver strategic analytical projects
* Drive the adoption of AI, automation, and advanced analytics throughout the business
* Translate complex analysis into clear commercial recommendations for executive stakeholders
* Help shape business strategy through data-led decision making
* Lead, mentor, and develop analytical talent across the team
* Prioritise and deliver high-impact projects that improve business performance and customer outcomes
* Act as a key link between analytics, technology, and commercial functions

YOUR SKILLS & EXPERIENCE
* Strong commercial experience leading analytics teams within financial services
* Previous experience within credit risk developing strategy
* Experience managing and developing analytical teams
* Hands-on technical background with prior coding experience in tools such as SQL, Python, SAS
* Ability to move between strategic leadership and technical problem solving
* Experience influencing senior stakeholders and presenting at executive level
* Exposure to AI, automation, or advanced analytics transformation programmes
* Strong commercial and stakeholder management skills

WHAT THEY OFFER
* £90,000 – £150,000 base salary
* 20% annual bonus
* Private healthcare
* 7% matched pension
* 25 days annual leave
* Hybrid working model (2-3 days per week in London)
* Opportunity to build a new function with significant business impact
* Excellent scope for progression and visibility across the organisation

HOW TO APPLY
Please register your interest by submitting your CV through the Apply link.

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Senior Machine Learning Engineer

London (Hybrid)

This is an opportunity to join a newly established Machine Learning Engineering team building a greenfield AI product within a highly successful global technology business. You’ll have significant ownership from day one, helping shape the architecture, ML systems, and product direction of a platform designed to solve complex, high-value challenges at scale.

The Company

They are a global technology organisation operating across multiple international markets, processing billions of customer interactions and transactions each year. Backed by strong executive sponsorship and substantial investment, they are developing a new AI-powered platform focused on operational optimisation and decision intelligence.

The Role

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and operating production-grade ML systems from the ground up.

Responsibilities include:

• Building and owning end-to-end machine learning solutions, from data ingestion through to deployment and monitoring
• Developing scalable data pipelines that process large volumes of real-time and batch data
• Training, deploying, and maintaining machine learning models in production environments
• Working with Databricks, AWS, Python, Kafka, and modern MLOps tooling
• Leveraging machine learning, LLMs, and multimodal AI techniques across structured and unstructured data sources
• Collaborating with engineering, product, and business stakeholders to deliver impactful solutions
• Contributing to system architecture, platform design, and technical best practices
• Driving measurable improvements through AI-powered decisioning and automation

Your Skills & Experience

• Strong commercial experience as a Machine Learning Engineer, MLOps Engineer, or in a similar applied ML role
• Proven experience building and deploying machine learning systems into production
• Experience designing and maintaining scalable data pipelines and ML infrastructure
• Strong Python engineering skills
• Experience with Databricks and cloud platforms such as AWS
• Knowledge of production monitoring, model performance management, and MLOps best practices
• Ability to operate autonomously and take ownership of projects from concept through delivery
• Experience working with large-scale data environments
• Exposure to fraud, payments, financial services, or risk-related machine learning use cases would be advantageous

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London | £80,000-90,000
This is an opportunity to join a growing digital and analytics consulting team delivering high-impact machine learning and AI solutions for some of the UK’s most complex operational challenges. You’ll work closely with senior stakeholders, helping organisations move beyond proof of concepts and embed data science into real-world decision-making.

The Company
They are an established consultancy that partners with organisations across both public and private sectors to deliver measurable business outcomes. Their work focuses on solving complex operational challenges through data, analytics, AI, and digital transformation. As their digital capability continues to expand, they are seeking experienced Data Scientists who can combine technical expertise with strong stakeholder engagement.

The Role

• Design and deliver machine learning, advanced analytics, and AI solutions for a wide range of client challenges
• Build production-ready data science solutions that create measurable operational and commercial impact
• Work directly with senior stakeholders to identify opportunities where data and AI can drive value
• Lead technical workstreams across client engagements, from discovery through to implementation
• Translate complex analytical findings into clear and actionable recommendations
• Mentor colleagues and contribute to data science best practices across the wider team
• Stay current with developments in AI, machine learning, and analytics to bring innovative approaches to client projects

Your Skills & Experience

• Strong commercial experience in Data Science, Machine Learning, or Advanced Analytics
• Advanced Python skills and experience building end-to-end analytical solutions
• Experience taking models and analytical products from concept through to deployment
• Exposure to modern AI technologies, including LLMs and generative AI applications
• Strong stakeholder management and communication skills
• Experience working within consulting, client-facing, or cross-functional environments
• Ability to manage multiple priorities and deliver solutions in fast-paced project settings

How to Apply
If you’re interested in this Senior Data Scientist opportunity, please apply with your CV for immediate consideration.

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Senior ML Engineer
London | £95,000

This is an opportunity to join a growing Machine Learning team focused on building scalable, production-grade solutions that solve complex real-world problems. Working within a greenfield environment, you’ll have the chance to shape ML systems from the ground up while delivering measurable impact across a high-volume platform.

The Company
They are a global technology business operating at significant scale, processing billions of transactions and interactions each year. The business is continuing to invest heavily in Data Science, Machine Learning, and automation, with a particular focus on building intelligent products that improve operational efficiency and customer outcomes. Their teams combine strong engineering principles with cutting-edge machine learning to deliver solutions used worldwide.

The Role

• Build and deploy production machine learning models that support large-scale automation and decision-making
• Design and optimise data pipelines, backend services, and ML infrastructure
• Develop and maintain feature stores and model-serving capabilities for real-time and batch use cases
• Take ownership of projects from problem definition through to production deployment and monitoring
• Work with structured and unstructured data to solve complex business challenges
• Collaborate with Data Scientists, Software Engineers, and Product teams to deliver scalable solutions
• Contribute to the development of greenfield machine learning products and capabilities
• Drive best practices across MLOps, monitoring, observability, and model lifecycle management

Your Skills & Experience

• Strong commercial experience within Machine Learning Engineering, Data Science, or MLOps
• Experience deploying, monitoring, and maintaining machine learning models in production environments
• Strong SQL and data engineering capabilities, with experience working on large-scale datasets
• Interest in AI technologies, including NLP, Computer Vision, LLMs, or Generative AI applications
• Experience building scalable data pipelines and ML systems
• Strong communication skills and the ability to work effectively across technical and non-technical teams

How to Apply
If you’re interested in this ML Engineer opportunity, please apply with your CV for immediate consideration.

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Senior / Staff Analytics Engineer

Location: Costa Mesa, CA | Onsite

Compensation: $175-215k + Equity

Employment Type: Full-Time

About the Opportunity

We’re partnering with a rapidly growing technology company at the forefront of autonomous systems, advanced engineering, AI, and next-generation manufacturing.

The organization is seeking Senior and Staff Analytics Engineers to join its high-performing data team, building scalable data products and automated solutions that drive real-world operational impact.

This is not a traditional dashboard or reporting-focused role. You’ll work on complex technical challenges across manufacturing, supply chain, product telemetry, and enterprise operations, with significant ownership and the opportunity to influence how the business operates.

What You’ll Do

• Data Engineering & Modeling: Design and develop scalable data models, pipelines, and systems supporting complex operational requirements.
• Technical Development: Use advanced SQL and Python to build robust data products, applications, and automated workflows.
• Architecture & Systems Design: Evaluate technical tradeoffs and contribute to scalable data architecture and distributed systems.
• Operational Impact: Develop solutions that improve efficiency, automate processes, and support data-driven decision-making.
• Cross-Functional Collaboration: Partner with engineering, manufacturing, finance, and supply chain teams to solve complex business challenges.
• End-to-End Ownership: Lead projects from problem discovery and technical design through implementation and optimization.

What We’re Looking For

• 6+ years of experience in analytics engineering, data engineering, or related technical roles; 8-10+ years typically expected for Staff-level consideration.
• Advanced proficiency in SQL and Python.
• Strong foundation in data modeling, including dimensional and entity modeling.
• Understanding of data architecture, distributed systems, and technical tradeoffs.
• Experience building scalable data products, pipelines, or automated operational workflows.
• Proven ability to own technical initiatives and collaborate with cross-functional stakeholders.
• Strong problem-solving skills, intellectual curiosity, and comfort working in ambiguous environments.

Nice to Have

• Experience in manufacturing, robotics, autonomous systems, hardware, or industrial technology.
• Exposure to telemetry, sensor data, or real-time data processing.
• Familiarity with dbt or similar transformation tools.
• Bachelor’s degree in Engineering, Computer Science, or a related field.

Why Join?

• Work on high-impact, real-world engineering challenges with tangible operational outcomes.
• Join a highly technical, collaborative team solving complex data problems.
• Take ownership of meaningful projects with opportunities for technical growth.
• Competitive compensation, equity, and potential relocation assistance.

Work Authorization: U.S. citizenship or lawful permanent residency required.

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Applied AI Researcher (Generative AI & Dataset Strategy)
$300,000-$500,000

Overview

A rapidly growing technology organisation is seeking an Applied AI Researcher to bridge the gap between cutting-edge generative AI research and large-scale data development. The successful candidate will assess the strengths and weaknesses of state-of-the-art image and video generation models and determine how targeted datasets can be designed to improve model performance.
This role is ideal for a researcher with hands-on experience building or working with generative AI systems who also understands the critical relationship between training data quality, composition, and model outcomes. While the position is not responsible for training production models, it plays a key role in defining the data needed to advance them.

Key Responsibilities

• Evaluate emerging generative AI models, research publications, technical reports, and new architectural approaches.
• Identify performance limitations in image and video generation systems and determine the data needed to address those shortcomings.
• Design dataset strategies, including structure, taxonomy, metadata standards, annotation requirements, and quality controls.
• Translate research insights into actionable specifications for product and data teams.
• Partner with commercial stakeholders to understand market demands and customer requirements.
• Collaborate with technical researchers and external AI partners on data-related initiatives.
• Support dataset development efforts from concept through delivery, including operational planning and execution.
• Balance strategic research activities with practical dataset design and implementation work.

Required Qualifications

• 2+ years of relevant experience in machine learning, computer vision, generative AI, or related fields.
• Hands-on experience developing, training, evaluating, or contributing to generative AI or foundation models.
• Strong understanding of how dataset composition and quality impact model performance.
• Direct experience with image-generation technologies; exposure to video-generation systems is highly desirable.
• Knowledge of model evaluation methodologies, error analysis, and dataset design principles.
• Ability to read and interpret research papers and convert findings into practical solutions.
• Strong communication and stakeholder management skills.
• Experience working across research, product, and business functions.

Preferred Qualifications

• PhD in Computer Science, Computer Vision, Machine Learning, or a closely related discipline.
• Experience within organisations developing advanced generative AI systems.
• Background in visual AI domains such as image generation, video generation, synthetic data, or multimodal systems.
• Applied research experience with a track record of delivering business-impacting outcomes rather than solely academic publications.

Ideal Candidate Profile

Candidates may come from:

• Generative AI research teams focused on visual content generation.
• Applied research or research engineering environments working directly with foundation models.
• Computer vision organisations developing production AI systems.
• Academic research backgrounds with demonstrated experience translating research into real-world applications.

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Senior Analyst, Marketing Science
London | Hybrid (3 days in office) | £60,000 – £75,000
This is an excellent opportunity for a Senior Analyst to join a leading customer experience and marketing consultancy where data plays a central role in shaping customer engagement and business strategy. You will work across a variety of analytics projects, partnering with well-known brands to deliver meaningful insights and measurable commercial outcomes.
The Company
They are a specialist consultancy focused on helping organisations better understand their customers through data, analytics, and marketing science. Their analytics function combines customer insight, digital analytics, measurement, and data strategy to support smarter decision-making. The team operates in a collaborative, project-based environment and offers strong opportunities for professional development and internal mobility.
The Role

• Deliver campaign performance analysis and marketing effectiveness reporting
• Generate actionable insights from customer, web, and digital data
• Analyse customer journeys to identify opportunities for optimisation
• Use analytics platforms such as GA4 and similar tools to answer business questions
• Build, maintain, and enhance reporting solutions and dashboards
• Support tagging, tracking, and data collection initiatives alongside technical teams
• Present insights and recommendations to stakeholders and clients
• Contribute to analytics roadmaps and wider account growth initiatives
• Mentor junior analysts and support delivery across projects
• Collaborate with strategy, technology, and data teams in an agile environment

Your Skills & Experience

• Strong commercial experience in marketing analytics, digital analytics, or customer analytics within an agency or consultancy environment
• Proficiency in SQL and/or Python
• Experience with analytics platforms such as GA4, Adobe Analytics, Sprinklr, or similar tools
• Ability to translate complex data into clear business recommendations
• Experience building reports, dashboards, and visualisations for stakeholders
• Knowledge of campaign measurement, customer journey analysis, and marketing performance
• Strong stakeholder management and client-facing communication skills
• Experience supporting or guiding more junior analysts
• Understanding of data governance, privacy regulations, and responsible data use

What They Offer

• Salary of £60,000 – £75,000
• Hybrid working model
• Exposure to a broad range of analytics, customer insight, and marketing science projects
• Opportunities to work across different client accounts and specialisms
• Clear progression opportunities and ongoing professional development
• Collaborative culture with opportunities to mentor and develop others
• Exposure to emerging analytics capabilities, including AI-driven insight projects

How to Apply
If you are interested feel free to apply below.

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Agentic AI Software Engineer

Hybrid, Houston (4 days per week in office)

$160,000 – $180,000 Base Salary + Bonus

About the Role

You’ll design and build AI agents that reason across complex workflows, interact with enterprise tools and systems, and take action on behalf of users. This includes intelligent support agents that understand user intent, retrieve information, and resolve or escalate requests, along with the applications, data pipelines, and infrastructure that support them.

What You’ll Do

Agent Development

• Design and build AI agents and agentic workflows combining LLMs, APIs, RAG, and business logic
• Build secure integrations with enterprise applications, databases, and knowledge sources
• Develop agent memory, context, guardrails, and evaluation frameworks for reliable production use

Application Development

• Build user facing applications and backend services that power AI agent experiences
• Own features end to end, from backend and AI orchestration through frontend experience
• Ensure applications and agentic systems are scalable, secure, and enterprise ready

Data & Infrastructure

• Build data pipelines, ETL workflows, and integrations with the Databricks Lakehouse platform
• Build RAG pipelines enabling agents to retrieve and reason over enterprise data
• Implement CI/CD, testing, observability, and monitoring across AI and application systems

What You’ll Need

• Bachelor’s degree in computer science, Software Engineering, or a related field
• 8+ years building production grade software, including recent, dedicated experience building AI agents and agentic workflows
• Experience with LLMs, RAG, tool calling, or agent orchestration frameworks
• Full stack development experience, including APIs, backend services, and frontend applications
• Experience designing agent memory, context, retrieval, or evaluation systems

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