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CRM Developer (Adobe Campaign) – 12-Month FTC | Up to £70,000

We’re looking for an experienced Adobe Campaign Developer to join a leading media organisation on a 12-month fixed-term contract. You’ll play a key role in delivering customer communications for two of the UK’s most iconic news brands during a particularly busy and exciting period.

The Role

You’ll collaborate closely with CRM Managers, Designers, and Strategists to build, test, and deliver multi-channel campaigns across email, push, SMS, and in-app. This is a hands-on role that goes beyond execution – you’ll be part of planning discussions, advising on best practices, and shaping how campaigns are delivered.

What You’ll Do

• Build and maintain campaigns in Adobe Campaign Classic

• Translate briefs into workflows, automations, and audience logic

• Champion data-driven solutions and troubleshoot technical issues

• Maintain campaign documentation and reusable templates

• Work collaboratively with CRM and marketing teams on strategy and execution

• Balance BAU activity with longer-term automation and optimisation projects

What We’re Looking For

• 3-5 years’ experience working with Adobe Campaign (Classic essential)

• Strong skills in data workflows, audience segmentation, and QA

• Excellent communicator and collaborator – proactive and solutions-focused

• Experience in subscription or membership-based CRM environments desirable

• Familiarity with Agile, Jira, and testing methodologies

The Offer

• 12-month Fixed Term Contract

• Up to £70,000 per annum (pro rata)

• Hybrid working (London-based team)

• Join a highly collaborative team as they prepare for an exciting platform transition

If you’re a technically skilled CRM Developer who enjoys being part of a creative, data-driven environment – we’d love to hear from you.

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Data Analyst (Digital & Marketing Focus)

London – Hybrid (2 days in office, Tues & Thurs – Elephant & Castle)
Up to £50,000 + Benefits

The Company

Our client is a specialist digital and marketing analytics consultancy, established in 2016 and now recognised as a trusted partner for major asset managers and digital-first businesses. They help clients transform complex data into actionable insights that improve sales performance and optimise marketing ROI.

With a close-knit team of around 10, they combine cutting-edge analytics with strategic expertise. This is a fantastic opportunity to join a growing consultancy where your work will have real visibility and impact.

The Role

They are seeking a mid-level Data Analyst with strong technical skills and commercial awareness. This is a client-facing position where you’ll be responsible not just for the numbers, but for turning data into clear, strategic recommendations.

You’ll work directly with senior stakeholders, gain exposure to high-profile clients, and take on varied projects across digital and marketing analytics.

Responsibilities

• Extract, join, and transform datasets from multiple platforms (SQL, GA, marketing tools).

• Build and maintain dashboards and reports (Looker Studio, Tableau or equivalent).

• Apply statistical methods across attribution, MMM, LTV, churn, propensity and clustering models.

• Present insights and recommendations confidently to clients via Zoom and face-to-face.

• Support client strategy by identifying opportunities to optimise spend and improve ROI.

Candidate Profile

• 2-4 years’ experience in analytics (digital, marketing or consultancy background desirable).

• Strong SQL and Python skills, with a good grounding in statistics.

• Experience with Google Analytics or Adobe Analytics.

• Hands-on dashboarding experience (Looker Studio, Tableau or similar).

• Comfortable working directly with clients and explaining insights to non-technical stakeholders.

• 2:1 degree or above in a STEM or Social Sciences subject (or equivalent experience).

Package & Benefits

• Salary up to £50,000 (depending on experience).

• Hybrid working – 2 days in the office (Tues & Thurs, Elephant & Castle).

• 25 days holiday, state pension, profit share scheme.

• Direct exposure to senior leadership, with clear progression opportunities.

Interview Process

1. Introductory interview with senior team members.

2. Technical assessment (SQL + GA data integration & dashboard creation).

3. Final stage with leadership and chance to meet the wider team.

Find out more and apply via the link below.

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Lead Data Scientist (3 days onsite) – Travel Required

Join a forward-thinking consultancy that’s been redefining the industry for over a decade. Operating across sectors such as Defence, Retail, Government, and Healthcare, the firm delivers cutting-edge Data Science and Machine Learning solutions that drive measurable transformation. By blending strategic insight with deep technical expertise, they empower organizations to turn ambitious ideas into meaningful, data-driven impact.

What You’ll Do

• Lead the end-to-end delivery of data science and machine learning projects, from discovery to deployment.
• Shape and execute data science strategies that directly support client objectives and organizational growth.
• Design and implement custom algorithms and models to solve complex business challenges and generate tangible value.
• Stay ahead of the curve in AI and ML innovation, identifying opportunities to integrate emerging technologies into client solutions.
• Partner with business development teams to support proposals, present solutions, and uncover new consulting opportunities.

Please note, this role will require travel across the UK to client site

To Apply for this Job Click Here

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Senior Insight Analyst

Location: Midlands – Hybrid (2 days in office)
Salary: £45,000 – £55,000 + benefits
Start Date: ASAP

The Company

A well-established UK industrial distribution organisation operating in a high-SKU complexity environment. The business is building a forward-thinking data function that champions data-driven decision-making. Join during a transformational period where data literacy and commercial insight are becoming core to competitive advantage.

The Role

A unique opportunity for a versatile Senior Insight Analyst who thrives on using data to solve diverse business problems. Act as a key data partner across the organisation – from warehouse operations to eCommerce – delivering insights that drive commercial impact.

This role blends depth with business acumen and storytelling. Work with stakeholders at all levels, translating complex information into clear, practical recommendations. Expect variety – one day examining pricing and profitability, the next optimising digital performance or supporting finance.

Key Responsibilities

Cross-Functional Work & Business Partnering

• Serve as data consultant for teams across the business
• Deliver insights spanning logistics, inventory, sales, and marketing
• Partner with senior professionals to shape evidence-based decisions

Proactive Insights & Storytelling

• Explore complex datasets to uncover trends and opportunities
• Translate findings into clear stories through data visualisations
• Provide recommendations that drive operational improvements

FP&A and Financial Support

• Support finance with data for planning and reporting
• Provide perspectives on revenue, margin, and cost trends

Data Advocacy & Automation

• Promote data-driven thinking across the organisation
• Work with SQL and Python for querying and automation
• Build and maintain Power BI dashboards

Key Focus Areas

• Pricing & Margin: Contract pricing, rebate effectiveness
• Customer & Product Profitability: SKU-level work, cost-to-serve
• Inventory & Purchasing: ABC/XYZ classification, GMROI, excess stock
• Marketing: Customer lifecycle, RFM, promotion effectiveness
• Web & eCommerce: Google Analytics, conversion optimisation

Skills & Experience

Essential

• Strong SQL proficiency for data extraction and transformation
• Advanced Excel (pivot tables, VLOOKUPs, formulas)
• Power BI or Tableau experience
• Python familiarity (pandas, numpy)
• Proven data or BI role background
• Experience with large, complex datasets
• History of delivering practical insights
• Strong communication skills

Desirable

• Wholesale/distribution/supply chain experience
• ERP systems exposure (SAP, Dynamics, Oracle)
• Salesforce and Google Analytics experience

Soft Skills

• Exceptional problem-solving with attention to detail
• Business acumen – connect insights to outcomes
• Explain technical concepts to non-technical audiences
• Curious and self-motivated
• Comfortable in fast-paced environments

Why Join?

• Genuine variety across business functions
• Partner with senior professionals to shape outcomes
• Exposure to modern data platforms
• Visible impact on company performance
• Help build and shape the function
• Hybrid flexibility

Interview Process

• Stage 1: Technical assessment (SQL)
• Stage 2: Interview with Hiring Manager and team
• Stage 3: Final interview with senior professionals

How to Apply

Send your CV to Mohammed Buhariwala or connect on LinkedIn.

Keywords: Senior Insight Analyst, Data Analyst, SQL, Power BI, Tableau, Python, Distribution Analytics, Inventory Analytics, eCommerce Analytics, FP&A, Midlands, Hybrid

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HEAD OF STRATEGIC ANALYSIS (12 MONTH FTC) – LONDON

UP TO £90,000

THE COMPANY

We are working with a media giant on a highly commercial Head of Analytics hire.

THE ROLE

The successful Head of Strategic Analysis responsibilities will include:

• Own the subscriptions strategy for one of the UK’s best-known publications, focusing on retention, growth, and customer engagement.
• Partner with teams across sales, marketing, and finance to analyse data and identify opportunities for growth.
• Use insight to tell compelling stories about subscriber behaviour and business performance.
• Assess and evolve pricing and proposition models to ensure competitiveness and long-term value.
• Think strategically about value creation – for example, evaluating what impact regional growth or new offers could deliver.
• Support data-driven decision-making around customer lifetime value, retention, and acquisition.

YOUR SKILLS AND EXPERIENCE

The successful Head of Strategic Analysis will have the following skills and experience:

• Proven experience in subscription, retention, or pricing strategy roles (ideally within media, publishing, or a consumer subscription environment).
• Strong commercial acumen, with experience managing budgets or influencing spend decisions.
• Some experience managing or mentoring others – or clear leadership potential.
• Ability to translate data into actionable insights and influence key business decisions.
• Knowledge of customer lifecycle metrics such as retention, churn, and LTV.
• Familiarity with SQL or other analytical tools is advantageous but not essential.
• Background in insight, pricing, or econometrics would be beneficial.

THE BENEFITS

The successful Head of Strategic Analysis will receive a salary of up to £90,000, plus an array of additional benefits.

HOW TO APPLY:

Please register your interest by sending your CV to Harry Mincer via the apply link below.

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Principal Data Scientist

Up to £150,000

London (3 days onsite per week – client travel)

Company:

Join a management consultancy that has been disrupting the industry for over a decade. They work across sectors including Defence, Retail, Government, and Healthcare, delivering bespoke Data Science and Machine Learning solutions. By combining strategy, innovation, and execution, they help organizations turn bold ideas into real-world impact

Responsibilities:

• Own the end-to-end delivery of complex data science and machine learning projects
• Define and drive data science strategies that align with client goals and broader organizational objectives.
• Develop tailored models and algorithms to solve unique client problems to deliver real business value.
• Stay at the forefront of AI/ML trends and emerging technologies, identifying opportunities to apply new techniques and tools.
• Support business development by contributing to proposals, pitching solutions, and identifying new areas for consultancy services.

Requirements:

• MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.
• Ability to translate business problems into analytical solutions using advanced modelling techniques.

**Please note that this role does not offer visa sponsorship**

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Lead Data Scientist

Up to £100,000

London (3 days onsite per week – client travel)

Company:

Join a management consultancy that has been disrupting the industry for over a decade. They work across sectors including Defence, Retail, Government, and Healthcare, delivering bespoke Data Science and Machine Learning solutions. By combining strategy, innovation, and execution, they help organizations turn bold ideas into real-world impact

Responsibilities:

• Own the end-to-end delivery of complex data science and machine learning projects
• Define and drive data science strategies that align with client goals and broader organizational objectives.
• Develop tailored models and algorithms to solve unique client problems to deliver real business value.
• Stay at the forefront of AI/ML trends and emerging technologies, identifying opportunities to apply new techniques and tools.
• Support business development by contributing to proposals, pitching solutions, and identifying new areas for consultancy services.

Requirements:

• MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.
• Ability to translate business problems into analytical solutions using advanced modelling techniques.

**Please note that this role does not offer visa sponsorship**

To Apply for this Job Click Here

To Apply for this Job Click Here

Fully Remote

Data Product Manager

We are looking for a Data Product Manager to lead on data, technology and strategy. This role is the first data PM hire in the business and requires someone with a strong technical background to liaise with the Data Scientists and Engineers within the company to turn complex data product roadmaps into actionable development strategies.

Responsibilities:

• Develop and champion the long-term vision for our data platform, ensuring it aligns with business goals and technical priorities.
• Lead the full product lifecycle:shaping strategy, defining requirements, and guiding execution from concept to launch and beyond.
• Partner with Data Science, Engineering, and Analytics teams to design and deliver high-performing, scalable data solutions.
• Translate intricate technical challenges into clear, actionable product decisions that drive measurable outcomes.

Requirements:

• Strong technical background (ideally in data science)
• Python and SQL proficiency
• Experience working in small start ups / scale up businesses
• Ability to work in a fast paced environment
• Ownership and accountability of data product roadmaps

To Apply for this Job Click Here

To Apply for this Job Click Here

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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To Apply for this Job Click Here

Data & Insights Analyst – Marketing Intelligence

We’re looking for a curious and commercially minded Analyst to join a growing data and insights team within a global marketing group. This is a great step for someone who’s moved beyond basic reporting and wants to work more strategically with well-known consumer brands.

What You’ll Do

• Turn marketing and digital performance data into meaningful insights for clients

• Build dashboards and reports (mostly in Excel and data visualisation tools)

• Work across paid media, web analytics and campaign data (GA4, Google Ads, Adobe Analytics, etc.)

• Present findings back to internal teams and clients in a clear, story-led format

• Support wider marketing, tech, and media teams with data-driven recommendations

What We’re Looking For

• Around 18 months-2 years’ experience in a marketing, media, or analytics role (agency experience ideal)

• Comfortable working with digital performance metrics and marketing platforms

• Strong Excel skills and familiarity with dashboard tools (Power BI, Looker Studio, etc.)

• Able to pick up client context quickly and translate numbers into actionable insights

• No advanced coding needed (Python/SQL not required – training provided)

Nice to Have

• Familiarity with social listening or performance marketing tools

• Experience building Excel-based dashboards or client reports

• Confidence communicating with stakeholders or clients

The Team & Environment

• Collaborative data team of around 8 people

• Works closely with account managers and media teams

• Mix of financial services, telecoms, and consumer clients

• Opportunity to grow into more strategic analytics and marketing measurement

Salary & Location

• Salary circa £35,000-£40,000 depending on experience

• UK-based, flexible working with some travel to London or regional offices

Find out more and apply via the link below.

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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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