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SENIOR ANALYTICS ENGINEER

UP TO £80,000 + BENEFITS

PRIMARILY REMOTE

Looking to take ownership of scalable data models, shape a brand-new analytics function, and work with the modern data stack from day one?

THE COMPANY:

I’m working with a fast-scaling, tech-driven organisation that’s investing heavily in its data capabilities. As part of a wider data transformation, they’re building out a dedicated Analytics Engineering team focused on creating scalable, trusted data infrastructure. With strong support from BI, Data Science, and Engineering teams, this function is central to how the business defines and uses data going forward.

THE ROLE:

You’ll help lay the foundations of the analytics engineering practice-owning your area of the data model, improving data quality, and shaping how data is delivered across the business. Reporting to a highly experienced team lead, you’ll work closely with stakeholders across Product, Engineering, and Commercial.

• Design and build reusable, high-performance data models using dbt
• Translate business logic into well-documented sources of truth
• Contribute to data quality checks, testing, and CI/CD best practices
• Partner with cross-functional teams to deliver scalable analytics solutions
• Help shape architectural decisions and improve data model governance

YOUR SKILLS AND EXPERIENCE:

A successful Analytics Engineer will bring:

• Strong SQL skills and hands-on experience with dbt (or similar tools)
• Experience designing as well as building data models
• Exposure to Snowflake and/or data pipeline tools
• Understanding of testing, CI/CD, and data quality frameworks

THE BENEFITS:

You will receive a salary dependent on experience-up to £80,000. On top of that, there’s a generous benefits package and plenty of opportunity to grow as the team scales.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Director of Data Science – Tax & Compliance

Location: 2-3 days/week hybrid in New York, New York

Compensation: $300,000 – $350,000 base salary + performance bonus + equity

ABOUT THE COMPANY

We are partnered with a high-growth financial services company at the intersection of AI, legal tech, and compliance, which is fundamentally transforming how regulated industries leverage language models and machine learning. This organization is building sophisticated NLP/LLM systems to streamline complex workflows for legal and financial professionals.

With executive-level support and increasing product demand, they’re seeking a Director of Data Science to lead strategy, research, and engineering execution across NLP and LLM initiatives for tax, compliance and auditing projects. This is a rare opportunity to drive technical vision, shape an elite ML team, and build impactful AI systems from the ground up in a regulated space.

THE ROLE

As Director of Data Science, you’ll be responsible for setting the long-term machine learning roadmap, leading technical teams, and ensuring the successful development and deployment of scalable NLP solutions. You will report directly to the Head of AI and work closely with executive leadership, product, and engineering.

Key Responsibilities:

• Define and align AI solutions with tax, audit, and compliance strategies to meet business goals and regulatory requirements.

• Build and manage a high-performing team focused on AI-driven tax, audit, and compliance innovations.

• Oversee end-to-end model development, ensuring AI solutions support regulatory adherence and operational efficiency.

• Collaborate with product, legal, engineering, and finance teams to design scalable, compliant AI solutions.

• Research and implement emerging LLM and NLP technologies to optimize tax reporting, auditing, and compliance processes.

• Represent the company in industry discussions, advocating for ethical AI and best practices in financial services.

• Ensure AI models are continuously monitored, optimized, and updated to meet changing regulations and business needs.

• Implement MLOps frameworks to ensure secure, transparent, and auditable AI deployments in financial operations.

• Champion data privacy, security, and compliance within AI models to adhere to regulations like GDPR and AML/KYC.

• Drive the development of AI tools that automate tax, audit, and compliance workflows, enhancing accuracy and efficiency.

YOUR SKILLS AND EXPERIENCE

Required Qualifications:

• 10+ years of experience in machine learning and data science, with at least 4+ years in a leadership or managerial role.
• Comfortable leading teams of 15+ data scientists and machine learning engineers
• Demonstrated success building and leading teams that develop and deploy NLP/LLM models at scale.
• Deep expertise in Python, ML frameworks (e.g., PyTorch, TensorFlow), and modern NLP tools (e.g., Hugging Face Transformers, spaCy).
• Experience designing and implementing ML systems in production, especially with large language models (e.g., GPT, BERT, T5).
• Extensive tax, compliance and/or audit domain experience.
• Comfortable with regulatory compliance processes, risk management, data privacy.
• Familiarity with the SEC, FCA and FINRA preferred
• Proven ability to align technical initiatives with business goals, working cross-functionally with product and exec teams.
• Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and scalable ML pipelines.
• PhD or Master’s degree in Computational Linguistics, Computer Science, Engineering, or a related technical field.
• Publication or open-source contributions in NLP/ML domains (e.g., ACL, NeurIPS, ICLR, EMNLP) a plus.

THE BENEFITS

• Senior-Level Management Compensation: $300,000 – $350,000 base + bonus + tangible equity.
• Hybrid Work Culture: 2-3 days/week in office in New York.
• Elite Talent Environment: Collaborate with top-tier researchers, engineers, and domain experts.
• Comprehensive Benefits: Full health, dental, vision, 401(k), and wellness programs.
• Strategic Impact: Lead a core function at the center of the company’s long-term success.

HOW TO APPLY

Submit your resume to Tim Jonas via the Apply link on this page. We’re excited to connect with experienced ML leaders ready to guide cutting-edge AI development in a deeply impactful space.

KEYWORDS:

Director | Machine Learning | NLP | LLMs | AI Leadership | ML Strategy | Deep Learning | Natural Language Processing | AI Platforms | NLU | NLG | Information Retrieval | Large Language Models | Legal Tech | Financial Services | Model Deployment | Engineering Management | AI Infrastructure | Hugging Face | Generative AI | Enterprise AI | Tax | Accounting | Audit | Auditing | Compliance | Regulatory | Risk Management | Data Privacy | Governance

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Principal AI Scientist – AdTech

New York, New York – 4 days onsite

$350,000 – $400,000 + bonus + equity

THE COMPANY

Harnham is partnering with a new client that builds AI platforms which enhance performance by delivering real-time relevance at critical points in the customer journey. Using intelligent systems and a global digital commerce framework, the platform powers high-volume interactions between millions of users and major brands. Following a significant valuation increase in early 2025, they are expanding rapidly across international markets, particularly in AI. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip marketers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

RESPONSIBILITIES

• Work closely with product managers and engineers 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 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 10 years of hands-on experience developing and deploying production-ready machine learning systems, covering the full model lifecycle-training, tuning, deployment, serving, and monitoring.

• Advertising experinece with real-time bidding, auction models, dynamic pricing, recommendation engines, multi-armed bandits and causal inference techniques preferred.

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

• Experience scaling out MLE teams as tech lead or manager preferred.

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

BENEFITS

The compensation package contains a base salary, a bonus, 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 Bidding | Auction | Statistics | Mathematics | AdTech | Advertising | Python | Recommendation Engine | Recommender System | Personalization | Bespoke | Target Audience

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Senior Analytics Engineer
Location: London (Hybrid – 1 day per week in-office)
Team: Data & Analytics

About the Role:

We’re looking for a Senior Analytics Engineer who combines strong technical expertise with business awareness and a passion for clean, scalable data. In this role, you’ll design and maintain robust data models, support data infrastructure, and work closely with stakeholders to deliver trusted, self-serve analytics solutions.

You’ll take ownership of how data is modelled and shared across the business, enabling insight and supporting strategic decisions. This role is ideal for someone who thrives in fast-paced, evolving environments and wants to have a lasting impact on data culture and capability.

You’ll be based in London, with an expectation to work from the office once a week.

Requirements:

• Proven experience as an Analytics Engineer or in a similar data engineering/BI role
• Advanced SQL skills with hands-on experience using dbt for data modeling
• Strong familiarity with modern data platforms like Snowflake, Looker, AWS/GCP, Tableau, or Airflow
• Experience with version control tools (e.g., Git)
• Ability to design, build, and document scalable, reliable data models
• Comfortable gathering business requirements and translating them into data architecture
• Strong problem-solving skills and attention to detail
• Clear communicator with the ability to support non-technical users and promote self-serve analytics

What Will Make You Stand Out:

• Exposure to Python for analytics engineering or automation tasks
• Background in the insurance or financial services sector (a plus, not essential)
• A commercial mindset-you understand how data supports business goals and can design solutions with impact in mind
• Curiosity and initiative around using AI tools to streamline workflows, increase productivity, or enhance analysis
• Passion for improving processes and evolving best practices across data team

The client is looking to move quickly, if you would like to follow up on your application please email or message me on LinkedIn.

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Role: Head of Data & AI
Location: Central London (hybrid 2-3 days a week in office)
Salary: £130,000 + Benefits

Our client is hiring a Head of Data & AI to lead the transformation of their data function across engineering, analytics, governance, and applied AI/ML.

This is a high-impact leadership role where you’ll define the data strategy, build out a top-tier team, and partner with senior leaders across product, tech, and risk. You’ll also play a key role in the organisation’s AI roadmap – ensuring scalable, ethical, and secure use of machine learning.

Key Focus Areas

• Own and execute enterprise data strategy
• Build and lead a multi-disciplinary data & AI team
• Drive modern data platform development (dbt, Airflow, Snowflake, Looker/Power BI)
• Deliver business-critical analytics and reporting
• Support responsible AI/ML initiatives
• Define data governance, privacy, and compliance frameworks

What We’re Looking For

• Proven data leadership in fintech, SaaS, or cloud-native environments
• Strong technical background in data engineering, analytics, or science
• Experience working with Finance and Risk teams
• Familiar with AWS and modern data/AI stacks (SQL, Python, MLflow, MLOps)
• Strategic mindset with ability to scale teams and influence at C-level

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Job Title: Junior Data Analyst
Location: London (Hybrid – 2-3 days/week in office)
Salary: £35,000

A well-established professional services firm is seeking a Junior Data Analyst to support its growing analytics and insights team. This is an ideal role for someone with a keen eye for data, looking to build a strong foundation in analytics within a collaborative, commercially focused environment.

The Role:
You’ll work alongside experienced analysts and business stakeholders, helping to transform raw data into clear, actionable insights. From data preparation and cleaning to supporting dashboards and regular reporting, you’ll play a key part in driving smarter decision-making across the business.

What You’ll Be Doing:

• Preparing, validating and analysing data from multiple internal systems

• Assisting with the creation and maintenance of dashboards and regular reports

• Supporting ad-hoc analysis and insight requests from across the business

• Working closely with the senior analytics team to continuously improve data processes

What We’re Looking For:

• Strong Excel and data handling skills (SQL knowledge a plus)

• A methodical, detail-oriented approach to working with large datasets

• Some familiarity with data visualisation tools (e.g., Power BI or Tableau) is desirable

• Eager to learn, with a genuine interest in using data to solve business problems

• Quantitative degree from a leading university is essential

You’ll be based in London 2-3 days a week, with flexibility around remote working. This is a great opportunity to start or build your career in a role where development and learning are encouraged.

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Junior Digital Analyst/Graduate Digital Analyst

Up to £35,000

Hybrid – London

A great opportunity to join a boutique digital agency as a Junior Digital Analyst

THE COMPANY

The business is a boutique digital agency offering a wide range of data and analytics services to clients across various sectors.

Joining the analytics team as Junior Analyst, you’ll focus on analytics projects to help clients improve their digital performance. Whilst also getting opportunities to develop your skills and passion for data analysis and take the next step in your career.

THE ROLE AND RESPONSIBILITIES

• Assist in creating insights reports and dashboards to visualise data insights
• Conducting detailed analysis to identify trends, patterns and actionable insights
• Collaborating with teams to understand data needs and provide analytical support
• Maintaining and updating data management systems
• Assist in implementation and monitoring of digital analytics tools and platforms for clients
• Presenting and working directly with clients

YOUR KEY SKILLS AND EXPERIENCE

• Good experience in web analytics and dashboarding OR BSc in STEM degree subject from leading university (preferably an MSc in Analytics too)
• All candidates will need some level of exposure to SQL and Python
• Strong communication skills
• Interest in digital/web analytics

THE BENEFITS

• Up to £35,000
• Hybrid
• London

HOW TO APPLY

If interested in this role please send your CV

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Ops Analytics Manager – High-Growth InsurTech | £70-85k | Hybrid (London)

A rapidly scaling InsurTech business is seeking an Operations Analytics Manager to lead a critical function delivering insights to clients and supporting internal operations. With recent funding secured and plans to double headcount this year, this is a unique opportunity to join early and shape the future of data and reporting in a tech-forward environment.

The Role
This position sits at the intersection of operations, product, and data. You’ll take ownership of client-facing analytics, internal performance reporting, and drive improvements to the data platform and reporting experience.

Key responsibilities:

• Lead operational and client reporting efforts, ensuring insights are timely, accurate, and actionable

• Be the primary contact for queries relating to client reports and data outputs

• Support the operations team with performance analytics and insight generation

• Collaborate closely with product and data to develop a live reporting portal (e.g. Metabase)

• Manage and mentor a small team of analysts

Tech Environment

• Analytics: Tableau, SQL

• Engineering: dbt, Python, Postgres, Azure, Prefect

✅ Ideal Candidate

• 4-6 years’ experience in analytics, with some leadership exposure

• Proven skills in SQL, Python, and dbt

• Experience delivering operational insights and improving reporting processes

• Comfortable working cross-functionally with data, ops, and product teams

• Strong attention to detail and ability to work in a fast-paced environment

Location & Flexibility

• Hybrid: ~2-3 days per week in a Central London office (flexible)

Salary & Package

• £70,000 – £85,000 + benefits + equity

• Fast-track growth in a well-funded, high-impact environment

❌ Sponsorship unavailable
Urgent hire – interviewing immediately

Interested? Send CVs directly to the recruitment contact.

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Analytics Manager

Location: Hybrid (2-3 days/week in Trowbridge)
Salary: Up to £55,000 + benefits

Are you passionate about data and solving real-world business problems? Our client, a well-established multinational food business, is seeking a hands-on Analytics Manager to join their high-performing data team.

About the Role

This role sits within the Forensic Analytics function – focused on deep-dive analysis and strategic problem-solving. You’ll work across international B2B and D2C markets, delivering actionable insights on key business questions like:

• “Why are sales dropping in this category?”

• “How can we improve logistics efficiency?”

• “Is 350 products the right number for our portfolio?”

You’ll collaborate with stakeholders, shape analytics roadmaps, and lead projects from data exploration to insight delivery.

Key Responsibilities

• Define analytical approaches to tackle business challenges

• Identify and explore relevant data sources

• Deliver clear, insight-driven storytelling using visualisation tools

• Analyse marketing campaign performance (MMM, attribution, ROI)

• Support commercial strategy through segmentation and customer insights

What We’re Looking For

• Strong SQL and data visualisation skills (e.g. Tableau, Power BI)

• 3+ years in marketing or commercial analytics

• Experience with campaign analysis and business performance insight

• Excellent communication and stakeholder management

• Bonus: Python experience or a consulting background

Why Join?

• Join a data-rich, insight-driven organisation with a strong ethical mission

• Work within a team of 16 data professionals, reporting to a senior leader with 1 direct report

• Exposure to both operational and strategic analytics challenges across international markets

Benefits

• 25 days holiday + bank holidays (with option to buy more)

• Discretionary bonus scheme

• Matched pension contributions (up to 4%)

• Life assurance

• Free on-site parking & subsidised canteen

• Staff perks & discount scheme (tech, retail, lifestyle)

• Free Christmas gift (turkey or voucher)

Interview Process

• Stage 1: Video interview with VP of Data

• Stage 2: In-person interview with senior leadership

• Stage 3: Stakeholder interviews (cross-functional assessment)

• Includes verbal and numerical reasoning assessments

If you’re ready to turn data into business value – apply today.

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Senior Product Analyst | £70K + Benefits | Hybrid (Central London)

A high-growth consumer tech platform is looking for a Senior Product Analyst to join its product & engineering org. This is a hands-on role focused on user behaviour, A/B testing, and improving the app and web experience for millions of users across Europe.

You’ll help answer:

• Where are users dropping off in the journey, and why?

• Which UX experiments are moving the needle?

• What data do we need to collect to guide smarter product decisions?

You’ll work closely with PMs, designers, and developers to guide the product roadmap with clear, actionable insights. Think Mixpanel or GA for behaviour tracking, SQL for deep dives, and Looker for storytelling.

You’ll do well here if you:

• Have strong product analytics experience (preferably app-based)

• Are confident running and interpreting A/B tests

• Know how to collect the right event data before analysis even starts

• Can explain findings clearly to non-technical teams

Product-focused, experiment-driven, highly collaborative
Hybrid – 2 days per week in a Central London office

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Senior Product Analyst

Up to £85,000 + benefits

Hybrid – London

A leading fundraising platform is seeking a Senior Product Analyst to join their growing team. This innovative business blends exciting prize draws with charitable giving, offering customers the chance to win luxury prizes while raising money for charity. With an evolving product suite, including a new app, you’ll play a key role in shaping the future of the platform.

The Role

As a Senior Product Analyst, you’ll work closely with the product team to improve the website and app, analyzing user behavior, testing new ideas, and driving product strategy. This role offers the chance to make an impact by influencing customer retention and product performance, with plenty of room for creativity and innovation.

Key Responsibilities

• Lead A/B testing and experimentation to optimize product features and customer flows

• Analyze customer data to identify trends, improve app usage, and drive retention

• Collaborate with product managers and engineers to shape new propositions and features

• Use SQL to analyze large datasets, testing hypotheses, and generating insights

• Support pricing tests and assess product performance against business goals

• Help iterate on the website and app, continuously improving user experience

What We’re Looking For

• 4+ years of experience in product analytics, with a strong focus on A/B testing and SQL

• Strong SQL fluency (window functions a bonus)

• Commercial acumen – understanding how product decisions impact metrics like lifetime value

• Creativity and strategic thinking – the ability to generate new ideas based on data insights

• Experience working cross-functionally with product, engineering, and analytics teams

• Strong problem-solving skills and the ability to break down complex issues

The Offer

• £75,000 – £85,000 base salary

• Stock options

• 9% pension contribution

• 30 days holiday + bank holidays

• Hybrid working (3 days in Holborn office)

Interview Process

1. Initial recruiter screen

2. Technical interview (SQL, experimentation, and problem-solving)

3. In-depth discussion of past experience and cultural fit

4. Final interview with Head of Growth – discussing the business model and your potential role

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Senior Strategy Analysis Manager
Location: Central London (3 days per week in office)
Base Salary: £70,000
Company: Leading Rail Service Provider

We are seeking a Senior Strategy Analysis Manager to join a dynamic commercial strategy team within a major UK-based rail operator. This is an exciting opportunity to provide key insights into revenue analysis, business planning, and commercial reporting, working closely with the senior leadership team and stakeholders such as the Department for Transport.

Key Responsibilities:

• Lead and manage a team of 3 Analysts, overseeing analysis related to passenger demand, trends, customer behavior, pricing, and revenue protection activities.

• Provide valuable insights into forecasts, commercial models, partnerships, and revenue effectiveness to support the commercial decision-making process.

• Take the lead on the development and delivery of annual business plans, revenue insights, and monthly commercial reporting.

• Collaborate with the Revenue Management team and provide strategic data to inform decision-making.

• Lead the development of the data and analysis strategy for the Commercial department.

Ideal Candidate:

• Experience within the rail industry is preferred, but not essential.

• Solid understanding of revenue analysis and management principles.

• Strong leadership experience, with a proven track record in managing and developing a team.

• Technical proficiency in tools such as Tableau, PowerBI, and SQL.

Interview Process:

• Stage 1: 45-minute initial screen with senior leadership.

• Stage 2: A practical task summarizing a piece of price sensitivity research and presenting findings to the board in a 6-slide presentation.

If you’re looking for a strategic role with a focus on data-driven decision-making in the rail industry, apply now!

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