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Senior Data Engineer

Salary: £95,000

Location: Remote First (London Office)

Join a team where data engineering isn’t just support, it’s the engine. Build the models and pipelines that fuel innovation, accelerate growth, and elevate how the whole company thinks about data.

The Opportunity

This opportunity puts you at the centre of shaping the company’s data landscape, giving you the ability to influence how teams access, understand, and trust their data. You’ll take ownership of high-impact initiatives that drive better decision-making and unlock meaningful insights across the business.

As a senior contributor, you’ll help define the long-term vision for data, ensuring it grows in a scalable, reliable, and forward-thinking direction. You’ll mentor and support other engineers, fostering a culture of collaboration, learning, and empowerment. Ultimately, this role offers the chance to make a visible, lasting mark by elevating the organisation’s data capabilities and enabling teams to work smarter and more independently.

The Role & Responsibilities

A Senior Data Engineer is responsible for designing and maintaining high-quality, production-ready data pipelines that serve a variety of internal teams. They build and optimise central data models that support analytics, machine learning, and operational use cases. The role involves working with modern data stack technologies such as Databricks, AWS, dbt, Airflow, and Looker.

They lead complex technical initiatives, improve engineering efficiency through better CI/CD, observability, and tooling, and ensure data reliability at scale. Senior Data Engineers also mentor junior engineers and help promote a strong, collaborative, self-service data culture.

Interview Process

1. Introductory Conversation – 1 Hour
2. Pair Programming -1 Hour
3. Code Based Task – 1 Hour
4. Culture Fit

Join as a Senior Data Engineer to build robust data pipelines, shape high-quality models with modern tech, and lead impactful engineering initiatives that empower data-driven decision-making, apply now.

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Digital Product Insights Lead – Up to £80,000 + bonuses

Hybrid (3 days office-based – South East England / London area)
Full private medical | Modern data stack | AI-driven transformation

Are you an experienced insights leader who thrives at the intersection of digital analytics, data science, and commercial strategy?

Our client – a leading UK brand undergoing a major AI and digital transformation – is seeking a Digital Product Insights Lead to drive data-led decision-making across its digital channels, products, and customer journeys.

The Role

As the Digital Product Insights Lead, you’ll head up a small, talented team of analysts to deliver predictive and prescriptive insights that directly shape business strategy.
You’ll focus on understanding user behaviour across web and app journeys, optimising funnels, forecasting sales, and identifying retention opportunities through data.

This is a leadership role that combines strategic direction with enough hands-on capability to guide your team technically and commercially.

What You’ll Be Doing

• Lead insight generation across digital products, channels, and journeys.

• Deliver actionable, predictive insights to influence key business decisions.

• Oversee funnel and conversion analysis, forecasting, and behavioural segmentation.

• Analyse mobile app usage and retention, driving engagement and lifetime value.

• Partner with Data Science and Engineering teams to ensure data quality and readiness.

• Coach and mentor a team of analysts, fostering curiosity and innovation.

• Act as the bridge between data and business stakeholders, translating analytics into commercial outcomes.

Tech Environment

• Tools: SQL, GA4, BigQuery

• Languages: Python, R

• Environment: Modern data infrastructure with dedicated tagging and engineering support.

• No tagging work required – focus purely on insights and impact.

About You

• 5+ years’ experience in analytics, insights, or data science roles.

• Strong background in digital analytics, predictive modelling, or behavioural insights.

• Proven ability to translate data outputs into business actions.

• Experienced people leader with a track record of motivating high-performing teams.

• Energetic, proactive communicator who can engage technical and non-technical audiences alike.

• Passionate about leveraging AI and data to transform digital experiences.

Why Apply?

• Be at the forefront of an organisation investing heavily in AI and data innovation.

• Work within a modern analytics function with strong leadership and vision.

• Enjoy a financially secure, growing business with significant data investment.

• Play a pivotal role in shaping the next phase of digital and AI-driven insights.

Timeline: Interviews underway – target hire by end of January.

Package: £80,000 + up to 20% bonus + car allowance + full private medical.

If you’re ready to lead a team that turns digital data into real commercial impact, apply today!

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Senior MLOps Engineer

Chicago, IL

$160,000-180,000 base salary + bonus

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI applications. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

• You will be responsible for machine learning model deployment and scalability for the company’s agentic AI product
• You will report directly to senior leadership and work closely on technical direction
• Own AI infrastructure and quickly build into production, particularly focusing on novel AI and LLM applications
• You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning workflow operations and distributed systems
• Own CI/CD pipelines for MLOps / LLMOps
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business

YOUR SKILLS AND EXPERIENCE

The successful Senior MLOps Engineer will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on building and deploying machine learning and LLM models, ideally with voice or chatbot systems
• Experience working in a scaling startup is highly preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel AI platforms with large datasets
• History of working with and managing real-time AI applications in production settings
• Cloud experience in AWS, Azure or GCP
• DevOps experience with CI/CD pipelines required
• History of working on models from concept to production / end-to-end / 0-1
• Software engineering background preferred
• Experience in settings wearing multiple hats
• Domain experience in heathcare, health-tech, med-tech or similar a plus
• History of partnering with non-technical stakeholders required
• Experience owning projects directly preferred
• BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar

THE BENEFITS

A competitive base salary of $160,000-180,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | MLOps | LLMOps | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | Infrastructure | Architecture | CI/CD | Continuous Integration | Continuous Deployment | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient

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Data Governance Specialist

Location: London (Hybrid – 3 days a week)

Salary: £50,000

Ready to shape the future of data? Join a global powerhouse driving innovation in governance and unlock your potential in a team backed by senior leadership and bold investment.

THE OPPORTUNITY

A global leader in professional services is making significant investments in its data capabilities and expanding its Data Governance function. With operations spanning multiple regions and business lines, the organisation depends on accurate, well-governed data to drive informed decisions at both operational and strategic levels. In this role, you’ll join a central data team backed by strong senior sponsorship and a clear mandate to enhance how data is defined, managed, and utilised across the business.

As a Data Governance Analyst, you will play a hands-on role in embedding and supporting the firm’s Data Governance Framework. This includes working closely with Data Stewards and business stakeholders to understand data needs, supporting the implementation and adoption of governance processes, and maintaining the data catalogue with business glossaries, metadata, lineage, and reference data.

You’ll manage and prioritise governance issues, assist with metadata ingestion and configuration, and identify opportunities to improve data quality, consistency, and accessibility. The role also involves producing clear documentation such as user stories and functional requirements, supporting testing and training for governance tools, and using Power BI and other reporting tools to provide governance insights and monitor data quality. Collaboration across teams will be key to ensuring data processes and usage are properly governed and understood.

ROLE AND RESPONSIBILITIES

This position suits someone with experience in data-focused roles such as Data Analyst, Business Analyst, or Data Governance Analyst, who is keen to deepen their expertise in governance. You should have a strong understanding of data management concepts including metadata, data quality, and stewardship, along with experience using data catalogues or governance tools.

Proficiency in Power BI, Excel, and ideally SQL is important, as are strong analytical and problem-solving skills. Excellent communication skills are essential to bridge business and technical teams, and experience writing clear documentation and user stories is required. The ability to manage multiple priorities in a fast-paced environment is critical, and familiarity with Agile or Waterfall delivery methods would be beneficial.

INTERVIEW PROCESS

1. In person meeting – Introductory Conversation
2. Technical Assessment – Walk Through
3. Final Conversation – Virtual

Join a global leader in professional services as a Data Governance Analyst, driving data quality and governance across a high-impact, senior-backed team, apply now!

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Lead Data Analyst – Contract

Job Title: Lead Data Analyst (12-Month Fixed-Term Contract)

Location: Amsterdam

Contract: 12-month fixed-term contract

Start Date: Mid January

About the Role

We are seeking an experienced Lead Data Analyst to join our team on a 12-month fixed-term contract. This role will play a key part in delivering data-driven insights across the business, with a strong focus on pricing analysis and performance. You will lead analytical initiatives, working closely with commercial, sales, and finance teams to support pricing strategy and decision-making through high-quality reporting and analysis.

You will be hands-on with Looker, Salesforce, SQL, and Python, and will act as a technical lead, setting best practices and guiding other analysts where required.

Key Responsibilities

• Lead the design, development, and maintenance of dashboards and reports using Looker, including pricing and revenue performance dashboards
• Analyse and model data from Salesforce and pricing systems to support pricing strategy and optimisation
• Deliver insights on pricing performance, discounting, margin, and revenue trends
• Write efficient and well-structured SQL queries to extract and transform data
• Use Python for advanced pricing analysis, forecasting, automation, and data processing
• Partner with commercial, sales, and finance stakeholders to understand pricing requirements and translate them into actionable insights
• Ensure data accuracy, consistency, and governance across pricing and commercial reporting
• Provide technical leadership and mentoring to other analysts
• Contribute to continuous improvement of analytics tools, processes, and documentation

Skills & Experience

• Proven experience as a Senior or Lead Data Analyst
• Strong expertise in Looker (dashboarding, LookML preferred)
• In-depth experience working with Salesforce data
• Advanced SQL skills
• Practical experience using Python for data analysis
• Experience delivering pricing, commercial, or revenue analytics
• Strong stakeholder management and communication skills
• Ability to work independently and deliver within a fixed-term contract environment

Desirable

• Experience with pricing models, discount structures, or revenue optimisation
• Exposure to cloud data warehouses (e.g. BigQuery, Snowflake, Redshift)
• Previous experience leading or mentoring analysts

What We Offer

• A key leadership role with ownership of pricing and commercial analytics
• Opportunity to make a tangible impact within a 12-month period
• Competitive day rate or salary (depending on contract structure)
• Flexible working options

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SENIOR FRAUD ANALYST

£40-60,000 dependent on experience

BIRMINGHAM

THE COMPANY

This growing UK Bank are seeking an experienced candidate to lead hands-on analytical Fraud strategy and policy. This role offers an excellent opportunity to drive insight in a hands-on analytical role, whilst owning projects and profitability for the business.

THE ROLE

• Leading the development of fraud rules and strategies to reduce incidences of Fraud and further protect customers and the bank
• Manage and oversee fraud detection systems to ensure issues and risks are being actioned
• Analyse a range of customer data to drive insight into suspicious activity, customer trends and wider portfolio activity
• Wider trend analysis and data work to enhance business performance

YOUR SKILLS AND EXPERIENCE:

• Prior experience within fraud strategy is essential
• Prior experience working with Cifas, Hunter etc is desirable
• Essential to have had experience using SAS or SQL
• Python is desirable but not essential

SALARY AND BENEFITS

• Up to £60,000 starting salary
• Discretionary bonus
• Pension contribution scheme
• 26 days holiday
• Private medical scheme

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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HEAD OF DATA MANAGEMENT

£90,000-£100,000

NOTTINGHAM (Hybrid)

This company is going through a massive transformation and is looking for a data leader who’s ready to rebuild how an organisation thinks about, governs, and uses its data from the ground up. This is a high-impact, highly visible position where you’ll be working closely with Senior Leadership to drive real change across data quality, privacy and compliance.

THE ROLE:

A Head of Data Management will need to:

• Own and deliver the enterprise Data Management Strategy
• Lead data stewardship
• Evolve and mature data governance
• Oversee the full data lifecycle
• Partner with senior leaders

YOUR SKILLS AND EXPERIENCE:

A successful Head of Data Management will have the following skills and experience:

• Strong experience with ETL, APIs and modern cloud data platforms
• Skilled in SQL and Python
• Knowledge of data quality tools
• Understanding of data governance frameworks, lifecycle management and architecture
• Experience working in regulated environments

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £100,000 On top of the salary there are some fantastic extra benefits.

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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IFRS9 MODELLER

£55,000

LANCASHIRE

THE COMPANY

This company is a growing retail company that have a unique credit offering. They are seeking a senior analyst to join their diverse team and help to enhance their products and work on a range of projects including growing their credit book.

THE ROLE

• Partner with Analytics and Impairment teams to develop, monitor, and optimise Credit Risk and Impairment models
• Analyse model movements and segment trends to identify opportunities and maximise performance
• Deliver clear MI and insight-led commentary to inform decisions and drive continuous improvement
• Communicate complex analysis with impact, influencing managers, teams, and senior stakeholders

YOUR SKILLS AND EXPERIENCE

• Essential to have knowledge of SQL and SAS or Python
• Essential to have developed or validated scorecards or IFRS9 models
• Strong communication skills and prior experience in communicating complex data

SALARY AND BENEFITS

• Base salary of up to £55,000
• Free on-site parking
• Pension contribution scheme
• On-site amenities

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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Customer Insights Analyst

Up to £50,000

Hybrid – Stratford Upon Avon (1x Day per week)

An established financial services organisation is looking for a Customer Selections & Analytics Consultant to join a growing Customer Selections & Analytics team. This is an excellent opportunity for someone with strong SQL skills and experience working with campaign selections, CRM data, or customer analytics to step into a role with real impact across multiple business areas.

The Role

As part of the Customer Selections & Analytics function, you will be responsible for delivering accurate, timely, and data-driven campaign selections that support key customer journeys across the business. Working closely with campaign, CRM, and analytics teams, you will help turn customer insight into action.

Key Responsibilities:

• Translate campaign briefs into structured technical requirements
• Build and run campaign selections using SQL
• Manipulate and join data from multiple sources (CRM, transactional, engagement, etc.)
• Support campaign testing and performance measurement

Background & Skills Required

• Strong SQL skills (essential)
• Experience in campaign selections, CRM data, customer analytics, or related fields
• Comfortable working with large datasets and multiple data sources

Please note we cannot offer sponsorship for this position.

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SENIOR CRM MANAGER

LONDON – HYBRID – 3 DAYS PER WEEK IN OFFICE

SALARY – £65,000

ABOUT THE COMPANY

A fast-growing retention agency with a specialist focus on CRM, working exclusively with well-known D2C e-commerce brands!

THE ROLE

As Senior CRM Manager, you will:

• Lead and develop a team of 3 Account Managers
• Own CRM and retention strategy for multiple e-commerce clients
• Act as the go-to expert in Klaviyo lifecycle strategies
• Driving measurable growth for clients
• Take ownership of CRM KPIs, testing, and performance optimisation
• Ensure projects move forwards efficiently

CANDIDATE REQUIREMENTS

• Deep CRM knowledge, with Klaviyo expertise preferred
• Agency experience prefered
• Strong understanding of e-commerce
• Experience managing or mentoring at least one team member is preferred
• Ability to balance hands-on strategy with leadership across multiple client accounts

BENEFITS

• Salary up to £65,000
• Collaborative, people-first culture with regular socials
• Opportunity to shape retention strategy for some of the UK’s most exciting D2C brands

To Apply for this Job Click Here

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Data Analyst
Up to £45,000
Remote-first (London preferred)

I’m working exclusively with a growing FinTech start-up operating at the intersection of lenders, FinTechs and investors. They help bring clarity and transparency to large credit portfolios by integrating directly into client data and turning it into structured, decision-ready insight.This role is well suited to someone early in their career who enjoys working hands-on with data, getting into the detail, and taking ownership of how messy, real-world datasets are turned into something reliable and usable.

The Role

You’ll sit at the heart of the data function, working with large credit and customer datasets provided by FinTech partners.

The focus of the role is on:

• Ingesting and validating portfolio-level credit data

• Cleaning, mapping and standardising messy datasets

• Building structured tables and pipelines that feed directly into reporting products

• Using SQL day to day to explore, transform and shape data

• Supporting reporting used by both investors and FinTechs to monitor performance

• Helping surface insights around credit quality, customer movement and portfolio behaviour

Your Skills and Experience

• Strong academic background – STEM degree pregerred

• At least 1 year of industry experience

• Excellent SQL – this is core to the role and used daily

• Experience working with large, messy datasets, including cleaning, structuring and standardising data

• Comfortable building tables, transformations and basic data pipelines

• Exposure to financial services, banking or insurance is highly desirable

• Experience with data visualisation tools such as DOMO, Power BI or Looker

• Any exposure to moving data between systems or data engineering concepts is beneficial

Working Pattern & Package

• Salary up to £45,000

• Remote-first working initially – will be hybrid into a London office later in the year.

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Research Manager, Analytics (4 days in office, Fridays WFH)
Up to £60,000, London
Series A-B B2B Research Tech Startup (~50 people)

We’re partnered with a fast-growing research technology startup using AI to transform how organisations understand people. The business combines advanced analytics with modern research methods to deliver deeper insights, faster and at significantly lower cost than traditional research approaches.

As the company launches a new AI-driven product, they’re hiring a Research Manager to take ownership of analytics and modelling across client research projects.

The Role

This is a hands-on role focused on pushing the boundaries of quantitative analytics within research. You’ll lead complex modelling work, set best practice for analytics, and independently deliver end-to-end research projects.

Key Responsibilities

• Own analytics workstreams across major research projects

• Deliver advanced analysis including segmentation, factor reduction and regression modelling

• Set standards and best practice for analytics and segmentation

• Automate repeat analytical tasks for trackers and long-running projects

• Run end-to-end research projects (primarily quant; some qual/mixed methods)

• Contribute to proposals and RFPs

About You

Essential

• 3+ years’ experience in analytics and/or research using survey data

• Hands-on experience with regression, factor analysis and segmentation techniques

• Strong data wrangling, cleaning and weighting skills

• Proficiency in R or Python for analysis and visualisation

• Curious, exploratory approach to finding insight in data

Nice to have

• Experience with Bayesian as well as frequentist methods

• Understanding of the full market research project lifecycle

Interview Process

• Screening questions

• Talent interview

• Hiring Manager interview

• In-person task (with opportunity to meet Founder & C-suite)

Find out more and apply via the link below.

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