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SENIOR DATA ENGINEER
£75,000
LONDON

This is a brilliant opportunity to join a well-known, purpose-led organisation at the start of a major data transformation. You’ll play a pivotal role in building a modern data platform from the ground up, working in a highly creative environment with real impact across the business.

THE COMPANY

Our client is a large, publicly funded organisation within the arts and entertainment space, employing around 1,000 people across multiple iconic venues. They’ve recently brought in a new Director of Data & Insights to elevate their data capabilities, with a strong focus on innovation, AI, and unlocking value from their data.This is a greenfield opportunity where you’ll help shape the data strategy and engineering standards in a collaborative, non-corporate environment.

THE ROLE

• Lead the design and delivery of a cloud-based Lakehouse platform using Microsoft Fabric
• Build scalable data pipelines and implement Medallion architecture
• Develop robust data models across multiple business domains
• Establish best practice engineering standards and data governance
• Manage and mentor a small team of data engineers (minimum 2)
• Work closely with stakeholders to translate business requirements into scalable data solutions
• Enable downstream analytics, including Power BI semantic models and dashboards
• Contribute to long-term AI and data innovation initiatives

YOUR SKILLS AND EXPERIENCE:

• 6+ years’ experience in data engineering
• Strong expertise in data modelling (dimensional modelling and semantic layer design)
• Hands-on experience with Microsoft Fabric and/or Azure data services
• Proven end-to-end delivery across the data lifecycle (through to visualisation)
• Experience managing or mentoring engineers
• Strong stakeholder engagement and communication skills

Nice to have:

• Experience working across multiple datasets/business domains
• Exposure to AI or advanced analytics use cases
• Background in high-growth or less mature environments

SALARY AND BENEFITS

• £75,000
• Hybrid working (2-3 days in office)
• Pension scheme
• Inclusive and purpose-driven working environment

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack through the ‘Apply’ link

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Senior Fraud and Financial Crime Analyst
Lancashire
Up to £50,000

This is a high-impact opportunity to play a key role in the launch of a new credit card product within a growing financial services environment. You will be central to shaping fraud strategy from the ground up, using data and analytics to drive decision-making and optimise controls in a fast-paced, evolving setting.

The Company
They are a scaling financial services business operating within a wider consumer ecosystem, combining the agility of a newer entity with the backing of an established group. The organisation focuses on delivering flexible payment solutions and enhancing customer experience through innovation and data-led insight. With strong growth plans and ongoing investment, they offer a dynamic environment where you can make a tangible impact. Teams are empowered to take ownership, move quickly, and drive meaningful change.

The Role

• Analyse transaction data to identify fraud trends, anomalies, and risk drivers
• Develop and optimise fraud rules, controls, and decisioning strategies
• Produce dashboards and reporting to support governance, regulatory compliance, and commercial insight
• Support the launch and optimisation of a new credit card product
• Conduct detailed analysis across card transactions and emerging fraud typologies
• Test and validate fraud models, rules, and new solutions ahead of deployment
• Collaborate with product, technology, operations, and compliance teams to deliver fraud strategy
• Translate complex data into actionable insights that influence business decisions

Your Skills and Experience

• Strong commercial experience in card fraud analytics within a payments or financial services environment
• Solid understanding of card schemes, transaction lifecycles, and regulatory frameworks
• Advanced data analysis capability using SQL or Python
• Experience working with fraud rules, alerts, and optimisation strategies
• Familiarity with fraud platforms such as Featurespace, FICO, or similar tools
• Ability to interpret complex datasets and communicate insights clearly to stakeholders
• Proactive approach with a focus on problem-solving and continuous improvement

What They Offer

• Salary up to £50,000 plus a competitive benefits package
• Hybrid working with flexibility following the initial onboarding period
• Clear progression opportunities within a growing fraud and analytics function
• Exposure to major product launches and strategic initiatives
• Collaborative environment with strong internal mobility and development opportunities

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LEAD CREDIT RISK ANALYST

UP TO £80,000-£90,000 PLUS SHARES

LONDON

HYBRID WORKING (3 DAYS PER WEEK IN-OFFICE)

Shape the credit strategy behind a fast-growing fintech transforming how people access and manage financial products. In this lead role, you’ll use rich data to drive real lending decisions, influence product innovation, and deliver better outcomes for customers. It’s a chance to step into genuine ownership within a scaling, analytics-driven environment.

THE COMPANY

This organisation is a fast-scaling fintech business focused on delivering innovative financial products through employer partnerships. They leverage rich customer and transactional data to drive responsible lending, affordability, and financial insight solutions. With continued investment and growth, they are expanding their analytics capability to support new product development and international scaling.

THE ROLE

As a Lead Credit Risk Analyst, you will play a key role in shaping and optimising credit strategy across a growing unsecured lending portfolio. You will work closely with cross-functional teams to deliver data-driven decisions and improve risk performance.

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

• Defining and optimising credit strategies in line with commercial objectives
• Analysing data to generate insights and support key business decisions
• Partnering with product and engineering teams to implement strategies
• Monitoring performance and identifying opportunities to enhance credit outcomes
• Supporting the development of affordability and responsible lending policies

SKILLS AND EXPERIENCE

The successful Lead Credit Risk Analyst will have the following skills and experience:

• Strong SQL skills with the ability to work with large datasets
• Experience in credit risk analytics within a consumer lending environment
• Ability to translate complex data into clear, actionable insights
• Experience with unsecured lending products such as loans or credit cards
• Strong communication skills and ability to work with non-technical stakeholders
• Python experience is beneficial but not essential

BENEFITS

The successful Lead Credit Risk Analyst will receive a salary up to £80,000-£90,000 as well as shares in the company.

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Principal Data Scientist

Remote | Salary up to $220,000 + 15% bonus

This is an opportunity to step into a senior, high-impact Principal Data Scientist role where you will shape the direction of advanced AI and data science initiatives at scale. You will work on commercially meaningful problems, leveraging cutting-edge techniques including generative AI, while influencing both strategy and delivery across a globally recognised platform.

The Company
They are a well-established, innovation-led organisation focused on delivering data-driven products at scale. With a strong investment in AI and advanced analytics, they partner closely across product, engineering, and design to create impactful, user-focused solutions. Their teams are highly collaborative and operate in a modern, fully remote environment that encourages autonomy and technical excellence.

The Role

• Lead the design and implementation of advanced data science and AI solutions aligned to business objectives
• Provide technical leadership across complex projects, setting direction and best practice for modelling and deployment
• Collaborate with cross-functional stakeholders to identify opportunities and define requirements
• Apply generative AI and other advanced methodologies to solve real-world problems
• Translate technical findings into clear, actionable insights for senior stakeholders
• Oversee project timelines and ensure successful delivery across multiple workstreams

Your Skills and Experience

• Strong commercial experience in data science and machine learning, with recognised expertise in a specialist area
• Deep understanding of production-level AI systems and recent exposure to generative AI techniques
• Proven ability to lead complex projects end to end, from concept through to deployment
• Experience working cross-functionally with product, engineering, or business teams
• Clear and collaborative communication style, with the ability to influence senior stakeholders
• Background in a quantitative or technical field such as Data Science, AI, Mathematics, or similar

What They Offer

• Salary up to $220,000 with a 15% performance bonus
• Fully remote working with flexibility and autonomy
• Opportunity to work on high-impact AI initiatives at scale
• Collaborative, forward-thinking technical environment
• Clear scope for progression into broader technical or strategic leadership roles

How to Apply
If you’re interested in exploring this Principal Data Scientist opportunity, apply now for a confidential discussion.

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Director, Streaming Product and Growth

Up to £160,000

Leeds (3 days a week on-site)

This is a rare opportunity to shape the commercial future of a large-scale digital streaming business undergoing significant transformation. You will own and accelerate the growth of a subscription proposition, driving both revenue and customer engagement while influencing at the highest levels of the organisation.

THE COMPANY

They are a major UK-based media organisation evolving from a traditional broadcast model into a digitally led, commercially focused business. With a strong commitment to innovation, they are investing heavily in their streaming platform and subscription offering to drive long term growth. Their transformation programme places data, product, and customer strategy at the centre of decision making.

THE ROLE

As a Director, you will act as the business owner for a key subscription product, with full accountability for growth, commercial performance, and customer experience.

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

• Define and deliver the strategic vision for the subscription proposition, including positioning, pricing and go to market strategy
• Own end to end P&L performance, driving revenue growth and improving commercial outcomes
• Develop and execute growth plans across acquisition, retention and engagement, with a focus on lifetime value and churn reduction
• Lead subscription modelling, forecasting and performance analysis to inform strategic decisions
• Shape and optimise the customer journey, including free to premium conversion mechanics
• Collaborate with product, marketing, analytics, content and commercial teams to deliver impactful initiatives
• Influence senior stakeholders and align cross functional teams to execute against a shared strategy
• Identify new opportunities for partnerships, product enhancements and market expansion

SKILLS AND EXPERIENCE

The successful Director will have the following skills and experience:

• Strong commercial experience in digital subscription, streaming, or direct to consumer businesses
• Proven ability to lead growth strategies and manage P&L performance
• Expertise in subscription mechanics including pricing, churn management and revenue forecasting
• Track record of influencing senior stakeholders and operating effectively across complex organisations
• Broad experience across marketing, product, analytics and commercial functions
• Data driven mindset, with the ability to turn insights into actionable strategies
• Experience delivering large scale, cross functional initiatives in a fast-moving environment

BENEFITS

The successful Director will receive the following benefits:

• Salary up to £160,000 – depending on experience
• 20% Performance-based bonus

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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Senior Manager, Data & Analytics

Finance Transformation & AI
Chicago, IL (Hybrid)
Permanent

We are partnering confidentially with a global manufacturing organisation operating at significant scale across North America and internationally. The business is investing heavily in data, analytics, and AI to support finance transformation and enterprise decision‑making.

This is a high‑visibility leadership role with regular exposure to senior executives and ownership of analytics strategy across finance and the wider organisation.

The opportunity

You will lead the development and execution of a comprehensive data and analytics strategy, enabling improved financial insight, forecasting, and performance management. The role sits at the intersection of Finance, IT, and senior leadership, with responsibility for analytics foundations, governance, reporting automation, and advanced analytics including AI applications.

This is not a reporting‑only role. You will be responsible for shaping analytics capability, defining priorities, and ensuring insights translate into real business impact.

Key responsibilities

• Develop and deliver an enterprise‑level data and analytics strategy aligned to financial and business objectives
• Support finance transformation through advanced analytics, automation, and insight delivery
• Partner closely with IT to align data foundations, systems, and analytics roadmaps
• Lead reporting modernisation, including dashboards and KPI frameworks for senior stakeholders
• Establish and enforce data governance standards within the finance function
• Act as finance owner for key financial systems and analytics tools
• Partner with FP&A on predictive and prescriptive analytics for forecasting and strategic planning
• Support the creation and coordination of AI governance, use cases, and oversight
• Deliver ad‑hoc analysis and executive‑level insights to support decision‑making

What we’re looking for

• Extensive experience in data and analytics, with strong alignment to finance, FP&A, or commercial functions
• Proven background leading analytics strategy rather than just execution
• Strong stakeholder management skills, including regular interaction with senior leadership
• Experience with data visualisation, modelling, and modern analytics platforms
• Comfortable operating in complex, matrixed environments
• Manufacturing, industrial, or asset‑heavy experience is advantageous but not essential

Why apply

This role offers the chance to shape analytics capability at scale, influence senior decision‑making, and play a central role in a long‑term transformation agenda. It suits someone who wants ownership, visibility, and the opportunity to build sustainable analytics foundations rather than short‑term fixes.

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Staff Data Scientist

Location: New York City (Hybrid)

Compensation: Up to $250,000 base + bonus + equity

Company Overview

A high-growth consumer fintech and e-commerce platform is building the credit infrastructure powering digital commerce in a large, underserved market. The business has reached profitability, processes hundreds of millions in annual transaction volume, and continues to scale rapidly with strong backing from top-tier investors.

The team is lean, highly technical, and composed of leaders from globally recognized technology and marketplace companies. This is an opportunity to join at a pivotal stage and directly influence core revenue-driving systems.

The Role

As a Staff Data Scientist, you will play a critical role in developing and deploying machine learning models that directly impact the company’s P&L. You’ll work across credit risk, pricing, and marketplace optimization problems, owning the full lifecycle from problem definition through to production.

This is a highly cross-functional role partnering with engineering, product, and leadership to drive data-informed decisions and scalable modeling solutions.

Key Responsibilities

• Build and deploy machine learning models for underwriting, credit risk, and portfolio optimization
• Develop pricing, ranking, and personalization algorithms to improve marketplace performance
• Apply causal inference and experimentation techniques to optimize decision-making
• Own projects end-to-end: from exploratory analysis and modeling through to production deployment
• Translate complex modeling outputs into clear business insights and recommendations
• Collaborate closely with engineering and product teams to operationalize models

Requirements

• 5+ years of experience in data science or machine learning in a production environment
• Strong foundation in statistical modeling and machine learning (e.g., classification, ensemble methods)
• Experience deploying models into production and iterating based on real-world performance
• Proficiency in Python and SQL
• Experience with experimentation, causal inference, or uplift modeling
• Strong problem-solving skills with the ability to operate in ambiguous, fast-paced environments

Preferred Background

• Advanced degree (PhD or Master’s) in a quantitative field such as Statistics, Mathematics, Economics, or Operations Research
• Experience in fintech, lending, or credit risk modeling
• Exposure to marketplace, pricing, or recommendation systems
• Familiarity with optimization techniques and constrained modeling problems

What Makes This Opportunity Unique

• Direct ownership of models that impact revenue and risk
• High visibility role working closely with senior leadership
• Fast-paced, startup environment with significant autonomy
• Opportunity to shape core data science strategy and systems

• If you’re excited by building high-impact machine learning systems in a fast-moving environment and want to see your work directly drive business outcomes, this is a unique opportunity to do so at scale.

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Analytics Engineer

Ecommerce Focus

Remote (EST Hours)

$110K to $145K base plus bonus

We are working with a high growth direct to consumer business that is investing heavily in its data platform to support ecommerce, marketing, and customer analytics.

This role will be instrumental in building a scalable analytics layer to drive performance across digital channels.

The Role

You will own the analytics engineering layer supporting ecommerce and marketing, working closely with stakeholders to deliver trusted data and actionable insights.

Key responsibilities include:

Building dbt models to support ecommerce and marketing use cases

Developing ELT pipelines across tools such as Airbyte and Python

Designing datasets for customer, product, and transaction analytics

Supporting BI and dashboarding in Looker

Partnering with marketing, growth, and product teams on KPI development

Enabling self serve analytics across digital teams

Requirements

4+ years experience in analytics engineering or data engineering

Strong SQL and dbt experience

Experience working with ecommerce or marketing data

Hands on experience with modern data warehouses and BI tools

Experience supporting stakeholder driven analytics use cases

Nice to have

Shopify or similar ecommerce platform experience

Experience with marketing attribution or customer analytics

Exposure to BigQuery, Looker, or Airbyte

Python experience

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Senior Software Engineer – AI (Agent Systems) | Bay Area (Hybrid) | $180K-$260K + equity

I’m partnering with a high-growth SaaS company building production-grade AI systems that actually execute work – not just assist it.

This is not a “build a model and ship it” role.

This is where you design and own agent systems that retrieve context, make decisions, and complete workflows end-to-end in production.

You’ll operate at the intersection of backend engineering, distributed systems, and applied AI, shaping how real-world AI systems behave at scale.

‘ :

* Building agent-based architectures that take action across complex workflows

* Designing backend systems in Python / Node.js (APIs, services, orchestration layers)

* Developing multi-step reasoning systems (tool use, state management, execution loops)

* Implementing RAG pipelines and improving retrieval + grounding

* Creating evaluation + observability frameworks to measure system reliability

* Debugging failure modes across retrieval, reasoning, and agent execution

* Shipping full-stack features with TypeScript / React where needed

‘ :

* 5-8+ years in backend or full-stack software engineering

* Proven experience shipping AI systems in production (agents, RAG, workflows)

* Strong system design fundamentals (APIs, distributed systems, scalability)

* Hands-on with LLMs beyond basic API usage

* Python or TypeScript expertise

* Engineers who can explain why systems work (or fail) – not just build them

:

* Bay Area (3+ days onsite)

* $180K-$260K base + RSUs

If you’ve built real AI systems and can break down how they work under the hood, drop me a message.

Happy to share more details confidentially.

#AIJobs #SoftwareEngineering #DistributedSystems #LLMs #AgentSystems #Hiring #BayAreaJobs #TechJobs

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