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Senior Analyst
Location: London – 3 days per week
Salary: Up to £85,000

A private equity-backed company in the green tech space is looking for a Data Scientist / Analytics professional to join a growing team. This is a hands-on role with real ownership, helping the business turn large volumes of data into actionable commercial insights.

What You’ll Do:

• Work closely with the Head of Analytics to deliver actionable insights across the network of charging points

• Analyse customer behaviour, usage patterns, and operational data to inform strategy and growth

• Build statistical models for segmentation, regression, predictive modelling, and forecasting

• Support pricing and revenue optimisation initiatives, including dynamic pricing strategies

• Query and process large datasets coming from multiple real-time sources

• Translate complex analysis into clear recommendations for non-technical stakeholders

What You’ll Need:

• Strong SQL and Python skills; experience in AWS environments is a plus

• Solid statistical analysis background (segmentation, regression, forecasting)

• Hands-on, adaptable, and comfortable in a smaller, fast-moving team environment

• Excellent communication skills and ability to take ownership of projects

• Experience delivering actionable insights rather than exploratory or purely machine learning work

Interview Process:

1. Remote competency interview and CV review

2. Face-to-face interview with testing component (details to be confirmed)

Find out more and apply via the link below.

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Head of Data Engineering

Location: West Midlands
Hybrid Policy: 3 days per week in the office (flexible on which days)
Salary: £120,000 – £130,000 + £7,500 car allowance + exceptional bonus & benefits

An established, financial services group is on the lookout for a Head of Data Engineering to lead their data platform transformation – a critical migration from legacy systems (SQL Server) to modern Azure cloud technologies.

You’ll oversee a 40-person team of engineers (across the UK and offshore), guide delivery of critical regulatory and treasury projects, and work closely with senior leaders to ensure smooth delivery and long-term modernization. This is a hands-on leadership role – ideal for someone who thrives in both strategy and delivery.

Ideal Candidate:

• Proven leadership of large data engineering teams (UK and offshore)

• Deep expertise in SQL Server, and experience migrating to Azure cloud

• Experience managing third-party partners/vendors

• Ability to stay hands-on to mentor teams on technical delivery

• Background in the banking / financial services sector

• Strategic mindset with a delivery-focused leadership style

Tech Environment:

• Azure Data Stack (Synapse, Databricks, Azure SQL, Power BI)

• SQL, Python

• Legacy systems primarily in SQL Server

Interview Process:

• Initial 30-minute informal converdation

• 60-minute technical/competency interview with Engineering Managers

• Final 90 minute session with senior leadership (CDO, CTO, CIO)
  

• All applicants will undergo standard pre-employment checks (financial, DBS, references)

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System Development Manager

Location: Birmingham (Hybrid, 2 days per week in office)

Salary: £50,000 – £70,000 (depending on experience)

A growing FS company is seeking a System Development Manager to lead and develop their in-house technology function. This is a great opportunity to join a business that’s modernising its core systems, bringing previously outsourced technology in-house to improve efficiency, quality, and control.

Key Responsibilities

• Lead and manage two development teams (SQL and PHP), ensuring efficient workflow and clear priorities.
• Unify both teams under one cohesive structure to strengthen collaboration and delivery consistency.
• Provide leadership and guidance to developers – supporting their technical and professional growth.
• Oversee development processes, appraisals, and goal setting.
• Contribute hands-on to development work where appropriate (particularly valuable if you have PHP experience).
• Shape the long-term technical strategy, including tooling, frameworks, and best practices.
• Manage and refine the testing and deployment strategy, supported by a dedicated system tester.
• Provide architectural oversight for new and existing projects, ensuring solutions are secure, scalable, and maintainable.

About You

• Proven experience leading or managing software development teams.
• Strong understanding of PHP, SQL Server, and related technologies.
• Confident in guiding teams on priorities, resolving blockers, and improving development processes.
• Technically capable: able to contribute to architecture discussions and design reviews.
• Excellent stakeholder management skills with the ability to collaborate across departments.
• Passionate about developing people and driving technical maturity within a growing organisation.

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Director of Sales Analytics

Fully Remote in the United States — Must be based in the U.S.

Cannot hire out of these states: Illinois, Massachusetts, Ohio, Washington, Washington DC, West Virginia

$190,000 – $220,000 base + Bonus + Generous benefits

About the Company:

This fast-growing consumer financial services organization helps people take control of their financial futures through personalized, data-driven solutions. With a rapidly expanding customer base and a strong focus on technology, analytics, and empathetic service, the company is redefining how consumers engage with financial wellness products.

About the Role:

This opening is a highly visible leadership role at the intersection of Sales, Finance, and Data. The Director of Sales Analytics will lead the design and execution of the company’s outreach center analytics strategy, driving actionable insights that optimize lead conversion, agent productivity, and sales funnel performance across outreach channels.

This leader will collaborate closely with the Chief Sales Officer, CFO, and VPs influencing strategic direction while staying hands-on with data, models, and reporting frameworks.

Key Responsibilities:

• Lead the vision and implementation of the company’s outreach center and sales analytics strategy, with deep focus on funnel optimization, lead conversion, and agent performance.
• Build and maintain SQL- and Python-based models that measure and improve contact rates, lead penetration, dial activity, and conversion efficiency.
• Develop sales forecasting frameworks that align with Finance and Sales leadership to ensure workforce and lead capacity planning.
• Partner with Sales Operations to refine lead routing, territory assignment, and dial cadence to drive higher conversion and efficiency.
• Build and maintain BI dashboards (Sigma, Tableau, Power BI) that visualize funnel health, performance trends, and KPI tracking.
• Translate complex data into clear, strategic insights that guide business decisions and operational excellence.
• Lead, coach, and develop a high-performing analytics team (currently 8 member team)
• Stay current on outreach center analytics, CRM optimization (Salesforce), and telephony data integration best practices.

Must-Haves:

• 10+ years in analytics, sales strategy, or sales operations with deep hands-on experience in outreach center analytics.
• Proven success leading analytics for high-volume inbound/outbound sales environments.
• Strong proficiency in SQL; Python experience is a plus.
• Experience with Salesforce CRM and BI tools such as Sigma, Tableau, Looker, or Power BI.
• Expertise in sales funnel metrics, forecasting, conversion analytics, and agent productivity tracking.
• Exceptional communication skills and executive presence. Able to challenge senior stakeholders and push for the right decisions.
• Demonstrated success leading analytics teams and influencing cross-functional partners in fast-paced, high-lead-volume environments.

Nice-to-Haves:

• Experience in financial services, fintech, subscription-based, or consumer services organizations.
• Familiarity with telephony systems, marketing attribution, or CRM data integration.
• Strategic mindset with the ability to bridge high-level objectives with detailed analytical execution.

The Right Fit:

This role is ideal for a strategic, data-driven leader who thrives in a high-energy, outreach-center-centric sales environment. You’re equally comfortable diving deep into SQL as you are presenting insights to the C-suite. You bring strong opinions, challenge assumptions with data, and care deeply about using analytics to drive real business outcomes.

If you feel you are a strong fit for this role and are interested in learning more, please send your resume and a few sentences on why you could be a fit to Oisin at Thanks in advance!

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Position Overview
A growing fintech organization is seeking a talented Java Developer with experience integrating Generative AI technologies into enterprise-grade systems. This role involves developing backend services, APIs, and data-driven applications that enhance financial operations through AI automation and intelligent insights. The ideal candidate combines strong Java engineering skills with curiosity and hands-on experience applying LLMs or other AI models in production environments.

Key Responsibilities

• Design, develop, and maintain Java-based microservices and APIs to support AI-enhanced financial applications.

• Collaborate with data science and AI engineering teams to integrate Generative AI models (e.g., OpenAI, Anthropic, Hugging Face) into backend systems.

• Implement scalable and secure solutions for data ingestion, transformation, and model inference.

• Build and maintain RESTful and event-driven architectures optimized for high performance and low latency.

• Contribute to prompt optimization, model evaluation, and the fine-tuning of AI-driven application components.

• Write clean, efficient, and maintainable code following best practices for software design and testing.

• Participate in code reviews, architectural discussions, and Agile ceremonies.

• Ensure high availability, reliability, and security of production systems.

• Continuously evaluate new technologies to improve AI integration and developer efficiency.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.

• 4-6+ years of professional software development experience with Java (Spring Boot, Quarkus, or Micronaut preferred).

• Solid understanding of microservice architectures, REST APIs, and event-driven systems.

• Hands-on experience working with or integrating Generative AI models via APIs or SDKs (e.g., OpenAI, Vertex AI, Bedrock).

• Familiarity with AWS or other cloud platforms for deploying and managing AI applications.

• Strong understanding of data pipelines, JSON, and message queues (Kafka, RabbitMQ, or SNS/SQS).

• Experience with CI/CD pipelines, Git-based workflows, and DevOps best practices.

• Excellent communication and collaboration skills across cross-functional technical teams.

Preferred Qualifications

• Experience in financial technology or data-intensive environments.

• Knowledge of Python for AI model experimentation or prompt engineering.

• Familiarity with RAG (Retrieval-Augmented Generation) architectures and vector databases.

• Exposure to containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform, CloudFormation).

• Interest in exploring multi-agent systems, AI-driven automation, or LLM application frameworks.

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Director of Partner Marketing Analytics

Location: United States
Salary: Up to $200,000 + Bonus

THE COMPANY

We are partnered with a leading national consumer services brand that is reshaping how customers engage with their financial well-being. With continued growth and significant investment in data-driven marketing, they are seeking a Director of Partner Marketing Analytics to take ownership of analytics for their partner and affiliate channels. This is a senior role with high visibility, offering the chance to make a direct impact on marketing performance and ROI.

THE ROLE

Reporting into senior marketing leadership, you will lead a team of analysts focused on maximizing the performance of partner and affiliate channels. This is a hands-on, high-impact role, balancing strategy, execution, and cross-functional collaboration.

You will:

• Lead end-to-end analytics and reporting for partner and affiliate channels, providing insights into performance, lead conversion, and ROI.

• Design and maintain dashboards and reporting frameworks to track KPIs across programs.

• Partner with channel managers to optimize lead quality, payout structures, partner tiers, and campaign strategy.

• Build incrementality models to measure true channel value and unlock opportunities for scale.

• Collaborate cross-functionally with Finance, Data Engineering, and Marketing to ensure data integrity, effective forecasting, and budget optimization.

• Present insights and recommendations to senior leadership to influence strategy.

• Hire, mentor, and develop analysts to expand the team and strengthen capabilities.

YOUR SKILLS & EXPERIENCE

• Bachelor’s degree in STEM or quantitative discipline (preferred).

• 8+ years in marketing analytics, including 3+ years in affiliate/partnership marketing.

• 3+ years’ leadership experience, with a proven ability to build and lead high-performing teams.

• Strong command of SQL and experience with BI tools such as Tableau, Looker, or Sigma.

• Solid understanding of data warehousing, ETL, and automation.

• Advanced Excel with ability to build complex models and forecasts.

• Excellent communication and storytelling skills for executive-level presentations.

• Demonstrated ability to influence stakeholders and manage multiple priorities in a fast-paced environment.

• Financial services experience a plus.

WHAT’S IN IT FOR YOU

• Competitive base salary up to $200,000 plus performance bonus.

• Opportunity to shape the analytics strategy for a major U.S. brand.

• Direct exposure to senior leadership and cross-functional stakeholders.

• A role that combines strategic impact with hands-on analytics.

• Excellent benefits and career growth potential.

Would you like me to now create the shorter LinkedIn job post version (designed to hook candidates quickly without revealing the client), alongside this full-length advert?

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About the Organization

We’re partnering with one of the biggest global financial institutions. This firm operates across investment banking, asset management, and market-making – and is now investing heavily in enterprise-scale AI to transform operations and deliver measurable efficiency gains across millions of transactions daily.

The Opportunity

As a VP, AI Engineer, you’ll lead the design and deployment of agentic AI solutions that directly drive cost optimization across the organization. You’ll be part of a newly formed, high-visibility team working at the intersection of cloud infrastructure, large language models, and enterprise-scale automation.

What You’ll Do

• Architect and deploy agentic AI and LLM-driven systems used across multiple business units
• Lead development of enterprise-ready AI applications in the cloud (AWS, GCP, Azure)
• Collaborate with cross-functional teams to scale models to millions of transactions daily
• Translate business and operational goals into deployable AI solutions
• Mentor engineers and contribute to the overall AI strategy

What We’re Looking For

• 8+ years of commercial experience in AI/ML engineering
• Proven track record deploying LLMs at enterprise or consumer scale
• Deep technical expertise in Python, ML frameworks (PyTorch, TensorFlow), and cloud deployment
• Strong applied background – not purely research or PoC
• Experience in Big Tech (FAANG), leading startups, or enterprise-scale AI teams
• Stable career trajectory (ideally 2+ years per role)

Nice-to-Haves

• Experience leading or mentoring high-performance engineering teams
• Exposure to agentic frameworks, workflow orchestration, or AI copilots
• Prior experience in financial services or other highly regulated environments

If this opportunity feels like a strong match for your background, don’t hesitate to apply!

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Staff AI Engineer

New York, New York – 4 days onsite

$200,000 – $225,000 + bonus + LTI; $400,000 – $500,000 total

THE COMPANY

Harnham is partnering with one of the most well known financial services companies, which is looking for an experienced AI / ML Engineer. This person will be at the forefront of building AI automation applications for new ways at identifying cost-saving opportunities. You’ll partner with executive teams across the company and own generative AI, LLM and reinforcement learning modeling and deployment.

RESPONSIBILITIES

• Work closely with department heads to align on business goals, define machine learning challenges, and design effective ML solutions.

• Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability.

• Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing.

• Stay informed on industry trends and advancements in generative AI, LLMs, agentic AI, deep learning, experiment with new model concepts, and run both offline and online evaluations.

• Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use.

SKILLS AND EXPERIENCE

• Advanced degree (Master’s or PhD) in Computer Science, Machine Learning or a related field.

• Over 7 years of hands-on experience developing and deploying production-ready machine learning / deep learning / AI systems, covering the full model lifecycle-training, tuning, deployment, serving, and monitoring.

• Enterprise-level application experience, ideally in real-time preferred.

• Expertise in cloud infrastructure (especially AWS), machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments.

• Experience as a tech-lead for scaling MLE teams preferred.

• Commercial experience combination of big tech and scaling startups / scrappy environments a plus.

BENEFITS

The compensation package contains a base salary, bonus, LTI and a comprehensive benefits package.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Financial Services | Banking | Python | Recommendation Engine | Recommender System | Personalization | Agentic AI | AI Agents

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Data Governance Manager

Salary: up to £55,000

Based: Birmingham – hybrid, 3x week in office

About the Role

This established banking organisation is looking for a hands-on Data Governance Manager to join our lean and collaborative data team. This role is vital in re-establishing and embedding governance processes, engaging with project managers and business teams, and supporting our data privacy obligations.

What You’ll Do

• Drive the delivery of data governance activities across business units
• Work closely with the Head of Data Governance on documentation and reporting
• Complete and manage data privacy assessments
• Gather and validate control documents and ensure SME approvals
• Support tool deployment and integration (including Ab Initio)

What You’ll Need

• 3+ years in a data governance or data quality role
• Experience working in regulated environments (e.g. banking, insurance)
• Excellent stakeholder engagement skills
• Knowledge of data privacy frameworks (e.g. GDPR, DSARs, DPIAs)
• Ability to operate independently in a fast-paced environment

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Revenue Analytics Manager

Fully Remote in the United States — Must be located in the U.S.

Cannot hire from these states: Illinois, Massachusetts, Ohio, Washington, Washington DC, West Virginia, Colorado

$130,000 – $160,000 base + Bonus + generous benefits

About the Company:

This company helps consumers regain control of their finances through data-driven insights and empathetic customer experiences. With over a decade of sustained growth and no outside funding, the company continues to scale rapidly-leveraging analytics to drive smarter revenue decisions and operational excellence.

About the Role:

This is a hands-on, high-impact analytics role sitting at the intersection of revenue operations, finance, and marketing. You’ll own analytics that directly influence conversion, retention, and ROI – everything that turns leads into dollars. From A/B testing and forecasting to uncovering how each stage of the customer journey impacts revenue, you’ll play a critical role in shaping how this company grows.

What You’ll Do:

• Build, automate, and maintain SQL-based data pipelines and dashboards supporting revenue forecasting, lead optimization, and conversion tracking.
• Conduct A/B testing and experimentation to improve ROI and identify revenue lift opportunities across channels.
• Analyze key revenue metrics (ARPU, churn, LTV, unit economics) and translate findings into actionable insights for Sales, Finance, and Marketing leaders.
• Develop BI visualizations (Tableau, Sigma, or Power BI) that highlight performance across campaigns and customer segments.
• Partner with Revenue Operations and Finance teams to refine forecasting models and drive revenue optimization initiatives.

Key Skill Requirements:

• 6+ years of experience in analytics, revenue management, pricing, or forecasting.
• Expert-level SQL skills and strong experience with BI tools (any modern platform).
• Proven success supporting revenue-facing teams (Sales, Marketing, Finance) with actionable, data-driven recommendations.
• Hands-on experience with experimentation, conversion analysis, or optimization modeling.
• A self-starter comfortable working in a fast-paced, evolving environment.

Bonus Points For:

• Experience in financial services, fintech, subscription-based, or consumer services companies.
• Familiarity with Python for advanced analytics.

This is an exciting opportunity for an analytics professional who thrives in building clarity from complexity and wants to see their work directly influence top-line growth.

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Senior Data Protection Officer

Edinburgh (Hybrid: 1 day per week in office)

£85,000 + Bonus

A leading global professional services firm is looking for a Senior Data Protection Officer to join their team and play a key role in data protection and regulatory compliance. With offices across the UK, Europe, and Asia, this is an opportunity to join a respected organisation that has been supporting financial institutions and corporate clients internationally for over 60 years.

The Role

Working within a collaborative compliance function, you’ll support the firm’s data protection framework and ensure ongoing alignment with global privacy and regulatory standards.

Key Responsibilities

• Support the firm’s data protection compliance programme, policies, and governance.
• Provide advice on data handling, privacy risks, and regulatory requirements.
• Partner with internal stakeholders to ensure data compliance across operations and client engagements.
• Contribute to training, awareness, and continuous improvement initiatives.

Requirements

• 3-5 years’ experience in a compliance, DPO, or data protection role.
• Strong understanding of UK and international data protection regulations (e.g. GDPR).
• Experience working in a regulated or professional services environment (e.g. financial services, consultancy).
• Confident communicator with the ability to engage senior stakeholders.

Interview Process

1. Introductory chat
2. Technical data protection scenario and presentation.
3. Final discussion and sign-off interview.

This is a fantastic opportunity to join a global firm with a client-first, consultative approach, where you’ll help shape the future of their data protection practices.

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