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Role: Lead Data Engineer
Salary: £85,000 – £95,000 + bonus (flexible for the right hire)
Location: South Kensington, London
Working Policy: Primarily office-based (4 days a week) – some flexibility possible

I’m working with a global player in the shipping and commodities market, helping businesses move goods like oil, coal and grain by sea. Their clients rely on fast, reliable insights into ship movements, prices, weather, and more – and this team transforms complex datasets into clear dashboards and predictive models to give brokers an edge in the market.

They’re now looking for a Lead Analytics/Data Engineer to take ownership of building and scaling their centralised data platform (likely Snowflake), manage a junior engineer, and drive the design of future data flows, architecture and analytics across the business. You’ll work closely with research and senior leaders, giving you autonomy to shape the company’s data strategy and propose new ideas.

The role will involve:

• Leading on data engineering projects, building out the Snowflake-based data warehouse and pipelines
• Managing and mentoring a junior engineer
• Supporting research, analytics, and finance teams with structured, reliable data solutions
• Migrating legacy SQL Server systems into modern, scalable data platforms
• Contributing to data science and predictive modelling projects with the research team
• Linking multiple business datasets (finance, CRM, broker data, ship ownership) into a central, accessible system

What you’ll bring:

• Excellent SQL and Python skills
• Proven experience building centralised data platforms (Snowflake, Azure Data Factory, or similar)
• Strong data warehousing and ETL experience
• Ability to work in fast-paced, less structured environments and propose scalable solutions
• Experience mentoring or managing juniors (or ready to step into that responsibility)
• Background in commodities, trading, finance, or shipping highly desirable
• Bonus: DBT experience, data governance knowledge, and exposure to analytics/data science workflows

This is a hands-on role in a collaborative, face-to-face culture – perfect for someone who thrives in energetic environments and wants real autonomy to shape data strategy at the core of the business.

If you’re a proactive Analytics/Data Engineer ready for a lead role, apply today or get in touch to discuss further.

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Insight Analyst

Fully Remote in the UK

£40,000-£45,000

The Company

A high-growth financial services business is looking for a commercially minded Insight Analyst to join their team; this dynamic opportunity offers you the chance to work with marketing, pricing, and product teams to optimise performance and support business growth!

The Role

As an Insight Analyst, you’ll sit in the commercial function and play a key role in driving data-led decision-making across acquisition, retention, and product development. You’ll work closely with marketing, pricing, and product stakeholders to deliver actionable insights that shape campaigns, product lines, and customer journeys

You’ll be involved in:

• Analysing performance across marketing campaigns, pricing strategies, and new credit lines
• Optimising acquisition across paid, SMS, organic, and lead-gen channels
• Managing and evaluating relationships with lead generation brokers and third-party providers
• Running A/B tests and measuring marketing ROI
• Developing dashboards and reporting tools to support stakeholders
• Supporting strategic initiatives as the company launches new products and scales

Your Skills & Experience

• Strong SQL
• Python/R preferred but not essential
• Financial Services experience preferred but not essential

The Benefits

• £40,000-£45,000

How To Apply

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

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CRM Manager
London (Hybrid)
£50,000-£60,000

THE COMPANY

A well-known consumer financier is seeking a CRM Manager to join their new Growth team!

THE ROLE

As the CRM Manager, you will work on the end-to-end campaign lifecycle, specifically focused on new or lapsed customers, offering you the chance to be creative and drive greater personalisation from both a B2B & B2C perspective. You will use Braze and work closely with Data & Analytics professionals in the role

YOUR SKILLS AND EXPERIENCE

• End-to-end CRM experience; Braze experience preferred but not essential
• Automation experience

THE BENEFITS

• £50,000-£60,000

HOW TO APPLY

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

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Senior Machine Learning Engineer
Dublin
€90,000-€150,000

This is a great opportunity to work for an all-in-one AI-first customer service platform – they’re heavily investing in their Machine Learning team so it’s a great time to join.

THE ROLE

As a Senior Machine Learning Engineer for the business you will:

• Working with the Machine Learning Scientists to deploy their models into production and
• Maintain models in production, testing them and making sure they run properly
• Run production ML infrastructure

SKILLS AND EXPERIENCE

• PhD / Master’s Degree in Computer Science, Maths, Engineering or AI etc
• Strong commercial experience as a Machine Learning Engineer/MLOps Engineer
• Understanding of Software Engineering principles
• Good communication skills
• Tech: Python, SQL, AWS

SALARY AND BENEFITS

• Basic salary €90,000-€150,000
• Dublin-based with hybrid working, x2 days per week in the office
• Up to 8% bonus depending on level and peformance
• Benefits package
• Relocation package

HOW TO APPLY

Please register your interest for this role by sending your CV to Rosie O’Callaghan via the apply link on this page

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Senior Machine Learning/Research Engineer

London (Old Street / Moorgate)

Up to £140,000 + bonus

About the Role

We are working with a leading quantitative technology firm that’s working at the cross roads of machine learning research and high-performance trading. You’ll join a highly skilled Research Engineering team, in a fast-moving, high-volume environment.

This role is all about taking cutting-edge ML research projects and moving them into production – building robust pipelines that allow models to trade with reliability and speed. You’ll be hands-on with code (around 80% of your time), collaborating closely with ML scientists, and owning solutions from ingestion to deployment.

Key Responsibilities

• Collaborate with ML scientists to ingest and process large-scale, high-frequency market data.
• Build and maintain pipelines for training, backtesting, and deploying ML models into a live trading environment.
• Ensure production systems are reliable, scalable, and optimised for ultra-low latency trading.
• Take ownership of end-to-end solutions, from research to execution.

What We’re Looking For

• 5+ years’ experience in high-level engineering roles.
• Proven track record building ML research pipelines in complex technical environments.
• Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure).
• Strong mathematical or statistical background.
• Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech, research labs, or high-end finance.
• Independent, self-driven engineers who can own delivery without hand-holding.

Interview Process

1. Intro with hiring manager and recruiter.
2. Take-home technical test.
3. Technical interview discussing your solution.
4. Onsite with their Amsterdam team.

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Lead Data Scientist – ML Focused

Hybrid- UK

Up to £90,000 + Benefits

About the Role

We’re hiring a Lead Data Scientist to join a fast-growing, specialist data consultancy delivering high-impact solutions across sectors such as energy, public sector, manufacturing, and health. You’ll play a key role in solving complex challenges using cutting-edge ML or GenAI approaches, working end-to-end across projects in a client-facing capacity. This is a leadership position, ideal for someone who thrives in a consultancy environment and wants to deliver real-world impact.

Key Responsibilities

• Design and deliver data science solutions end-to-end, from discovery through deployment.
• Lead project teams, mentor junior colleagues, and manage delivery standards across multiple workstreams.
• Communicate complex findings clearly to senior stakeholders and clients.
• Support business development through proposal writing and pre-sales work.

We’re looking for someone with:

• Proven experience delivering data science projects in a consultancy setting.
• Strong Python skills with experience in ML or GenAI (e.g. LLMs, prompt engineering, optimisation).
• Excellent communication and stakeholder management abilities.
• A track record of managing teams and shaping development roadmaps.
• experience with cloud environments (AWS, Azure, GCP), and familiarity with MLOps lifecycle or solution architecture.

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Senior CRM & Digital Marketing Manager
Location: London(2 days per week in office, including Thursdays)
Salary: £60,000-£70,000

A well-known UK brand is looking for a Senior CRM & Digital Marketing Manager to take ownership of integrating CRM and digital performance marketing. This newly created role blends strategic leadership with some hands-on involvement in paid media, ensuring campaigns are coordinated, data-driven, and deliver measurable results.

The Role

• Lead and coordinate CRM and digital marketing across multiple channels

• Manage a team including CRM Manager, CRM Executive, Digital Marketing Specialist, Social Media & Content Manager, and Content Executive

• Develop a joined-up performance marketing strategy, making full use of 3rd party data

• Oversee paid campaigns with external agency partners

• Work closely with brand and campaign teams to ensure alignment

• Provide input into martech strategy (currently SFMC & Tealium, with potential changes ahead)

About You

• Strong performance marketing experience, comfortable with data-led decision making

• Proven leadership skills (managing at least 1-2 people)

• Industry background flexible – fast-paced, data-driven sectors like retail preferred

• CRM experience is an advantage, but performance expertise is key

What’s on Offer

• Up to £70,000

• Hybrid working – 2 days in the office per week (Thursdays mandatory)

• Opportunity to shape and drive a newly created, high-impact role

Interview Process

1. Initial screening interview

2. In-person interview with senior marketing leadership

3. In-person presentation

Find out more and apply via the link below !!!

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Research Manager

Location: London (4 days office-based, Fridays WFH)

Salary: Up to 60,000 + benefits

About the role
In this role, you’ll deliver end-to-end quantitative research projects using a proprietary platform, acting as the main point of contact for clients who use the self-serve offer. You’ll guide them on survey design, data quality, and project execution, while collaborating closely with technical, commercial, and product teams to refine and improve the platform.

You’ll also:

• Manage client relationships and lead calls, offering strategic research advice.

• Drive improvements in self-serve processes through client feedback.

• Support business growth by expanding and developing accounts.

• Contribute to product development discussions with cross-functional teams.

• Potentially line-manage junior researchers.

About you
We’re seeking someone with:

• 3+ years’ experience in quantitative (or mixed-methods) market research.

• Strong knowledge of survey design, sampling, and data cleaning.

• Proven experience delivering research such as brand tracking, ad testing, and ad hoc projects.

• Confidence in client-facing situations and a proactive, solutions-focused mindset.

Nice to have:

• Experience with online panels.

• Experience supporting clients using a research platform or product independently.

Why join?

• Lead an evolving self-serve research offer.

• Work on varied commercial, social, and political projects.

• Collaborate with a mix of research and tech experts in a scale-up environment.

• Benefits include private healthcare, 25 days’ holiday, and pension contribution.

Interview process:

1. Introductory video interview with Talent/Hiring Manager.

2. Take-home task + in-person panel interview.

3. Values-based in-person interview with senior leadership.

Find out more and apply via the link below.

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Marketing & Growth Data Analyst (12-month FTC – Maternity Cover)
Location: London, UK – Hybrid (2 days in office)
Salary: Up to £70k (DOE)
Start date: Ideally before late October

We’re seeking a skilled Marketing & Growth Data Analyst to join a dynamic consumer brand and support both UK and global teams. In this role, you’ll turn data into actionable insights, evaluate marketing performance, and help shape strategic growth decisions. You’ll split your focus between UK market analysis and collaborating with global colleagues on scalable data solutions.

What You’ll Do

• Conduct deep-dive analysis on marketing performance, acquisition, retention, and lifetime value.

• Evaluate campaigns and promotions, measuring both immediate results and long-term customer behaviour.

• Extract and manipulate data using SQL from platforms such as Snowflake.

• Build clear, compelling dashboards in Tableau (or similar tools).

• Track marketing KPIs (CAC, retention, ROI) and proactively flag trends or risks.

• Collaborate with marketing, sales, and growth teams locally and globally.

• Support colleagues in self-service data access and interpretation.

About You

• 5+ years’ experience in analytics, ideally in marketing, growth, or e-commerce.

• Advanced SQL skills; experience with Snowflake, dbt, and Tableau (or similar).

• Strong grasp of marketing metrics and statistical methods.

• Confident working independently and presenting insights to non-technical audiences.

• Curious, collaborative, and proactive problem-solver.

Package & Perks

• Up to £70k salary (depending on experience)

• 30 days’ annual leave + bank holidays

• Private medical insurance

• Pension match up to 4%

• Summer Hours (June-August)

• Wellbeing days, volunteering day, and other leave benefits

• Annual learning budget + language learning subscription

• Generous staff discounts

Find out more and apply via the link below !!!

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Senior Marketing Effectiveness Manager (Maternity Cover) | £75,000-£85,000 + Bonus | Watford Junction | 12-month FTC

Are you a marketing analytics leader with a passion for driving marketing effectiveness through data-driven insights? A leading UK business is seeking a Senior Marketing Effectiveness Manager to join their team on a 12-month maternity cover.

You’ll lead a specialist team of econometricians and work closely with senior marketing, finance, and product stakeholders to optimise multi-million-pound marketing investments. This is a hands-on leadership role blending advanced econometrics with strategic commercial insight to influence key business decisions.

Whether you’re a deep-dive econometrics specialist or a broad marketing analytics generalist, your expertise in translating complex models into actionable marketing strategies will be critical.

Key requirements:

• Proven experience managing marketing analytics or econometrics teams

• Strong commercial focus with excellent stakeholder management skills

• Hands-on expertise in SQL, Python, R and econometric modelling

• Ability to drive marketing investment optimisation through data-driven recommendations

• Experience working cross-functionally across finance, marketing, and analytics teams

Why apply?

• Lead one of the largest marketing budgets in the UK

• Influence strategic marketing investment decisions at senior levels

• Opportunity to innovate and shape marketing measurement tools and processes

• Flexible hybrid working (3 days onsite)

• Competitive salary + bonus

If you’re ready to step into a senior leadership role and deliver measurable marketing impact, apply today.

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Senior Data Analyst – London – £60,000 + Benefits
Hybrid (2-3 days/week in London office)

We’re working exclusively with a global leader in data and analytics, hiring a commercially minded Senior Data Analyst to help optimise how millions of survey responses are matched, priced, and delivered to some of the world’s biggest brands.

This is a high-impact, insight-driven role working across commercial, product, and data science teams to boost performance and revenue. You’ll reverse-engineer models, spot patterns in client and user behaviour, and bring creativity and curiosity to complex, real-world data problems.

What you’ll be working on:

• Pricing and revenue optimisation across large-scale survey operations

• Modelling client and user behaviour to improve performance

• Clustering, regression, and exploratory analysis to uncover insights

• Collaborating cross-functionally to influence decision-making

• Working with Python, SQL, and moving into Azure

What they’re looking for:

• 3-5+ years in analytics (media, ecommerce, or high-volume environments a bonus)

• Confident communicator with strong stakeholder skills

• Curious, commercial thinker who thrives in fast-paced settings

• Strong skills in SQL and Python

London (2-3 days/week hybrid)
£60,000 base + full benefits (no bonus)
❌ No sponsorship available

Want to get involved? Drop your CV now – this is a fast-moving process.

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