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Job Title: Data Analyst
Location: Remote
Contract: 6 months
IR35: Outside
Rate: £350-400 per day

Overview:
You’ll support a major customer loyalty and rewards programme, you’ll help strengthen the data foundation behind their local offers, retailer partnerships, and “offers near me” app features.

Responsibilities:

• Carry out a full audit of existing offer and partner data, assessing quality, accuracy, completeness, and performance.
• Cleanse and enrich data using multiple sources (APIs, Companies House, Google Places, Yelp).
• Improve the accuracy and reliability of partner information and associated deals.
• Engage with internal and external stakeholders to fill gaps and validate missing data.
• Produce recommendations and a clear proposal for how partner data should be managed going forward, presenting this back to the business.

Required Skills & Experience:

• SQL skills.
• Comfortable cleansing data and using external sources to enrich and validate it.
• Understanding of the UK retail landscape.
• Experience working with diverse datasets in start-ups, scale-ups, or audience-based products.
• Exposure to local business data, housing or demographic datasets.
• Background in FMCG or public-sector environments is beneficial.
• Able to translate findings into strategic recommendations.
• Confidently engaging with external stakeholders.
• Experience working in an Agile environment.

Nice to Have:

• Lightdash
• Looker
• Dbt

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Pricing Analyst

London-based

£400 per day (Inside IR35)

2-Month Contract

Hybrid – 1 day per week in office

This short-term contract offers the opportunity to step into a live pricing programme at a critical execution stage. You will help maintain momentum, take ownership of established models, and support the delivery of a defined pricing strategy through to end-state.

The Company

They are a well-established, consumer-facing organisation operating within the personalised products and e-commerce space. The business is highly data-driven and fast-paced, with pricing central to commercial performance and decision-making. Operating across multiple brands within a broader group structure, teams are used to working collaboratively with senior stakeholders in a complex environment.

The Role and Deliverables

• Take ownership of existing pricing models and analysis, picking up work mid-stream
• Operationalise a defined customer value-based pricing strategy
• Support day-to-day delivery to ensure progress through a key execution phase
• Validate, assess and report on the impact of pricing tests and performance
• Partner closely with a Senior Pricing Analyst and Central Planning to deliver clear outcomes
• Develop practical tools and frameworks to measure impact and enable informed pivots

Your Skills & Experience

• Strong experience working as a pricing or commercial analyst in a fast-paced environment
• Advanced Excel capability, with confidence interrogating complex pricing models
• Strong SQL skills, including experience with Snowflake or similar cloud data warehouses
• Comfortable working with incomplete documentation and extracting insight from existing work
• Clear and collaborative communicator, able to operate effectively under pressure
• Experience in retail, e-commerce or consumer-focused businesses is highly desirable
• Exposure to Python or R for analysis or model interrogation is beneficial

How to Apply

Register your interest by sending your CV to Ananya Gupta via the Apply Link on this page.

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Role Overview

This opportunity has arisen due to an immediate need for additional support as the team transitions from strategy into execution. A current contractor has been independently leading pricing work, and the team now requires someone who can quickly step in, work collaboratively, and ensure continuity and clarity across the analysis.

This role is ideal for someone who thrives in fast-moving environments, can pick up existing work quickly, and communicates proactively while working closely with senior stakeholders.

Key Responsibilities

• Support the Senior Analyst and Central Planning team with day-to-day analytical tasks
• Break down complex analytical requests into clear, manageable deliverables
• Validate and enhance existing pricing models based on changes in direction
• Conduct ongoing operational and performance analysis
• Design and evaluate tests to measure pricing strategy performance
• Translate data insights into actionable outcomes to inform business decisions
• Ensure consistency, clarity, and traceability in analytical processes
• Work collaboratively to fully understand and build on prior work

What Success Looks Like

By the end of the project, you will have:

• Contributed to the delivery and validation of a new pricing strategy
• Generated clear insights from testing and analysis to guide decision-making
• Helped build tools and frameworks to measure performance and pivot strategy effectively
• Supported the rollout of a refined customer pricing plan from July onwards

Skills & Experience

Must-Have

• Advanced Excel skills (highly detailed, analytical use)
• Strong SQL / Snowflake experience
• Proven ability to structure and communicate analysis clearly
• Highly numerate with a logical, step-by-step approach to problem solving

Nice-to-Have

• Experience with Python or R
• Exposure to building analytical or pricing models

Industry Experience

• Retail or eCommerce
• Fast-paced, high-volume business environments

Soft Skills

• Strong communication and transparency – essential
• Highly collaborative mindset (team-first approach)
• Ability to over-communicate and stay closely aligned with stakeholders
• Quick to ramp up and comfortable working with ambiguity

Team & Environment

• Working closely with:
  • Senior Analyst
  • Central Planning Lead
• A collaborative team focused on shared ownership and continuous communication
• Limited runway – you will be expected to hit the ground running from day one

Working Pattern

• Mostly remote
• 1 day per week in Farringdon (flexible)

Interview Process

• Stage 1: 45-minute interview (Hiring Manager + team member)
• Stage 2: Case study (1 hour)
  • Analyse provided dataset
  • Answer 3 key analytical questions
• Final discussion with Analyst & Central Planning Lead

Start Date

• ASAP (Interviews available immediately; onboarding planned for early next week)

Ideal Candidate Profile

A strong candidate will be technically capable.
An excellent candidate will combine technical ability with exceptional communication, collaboration, and adaptability, ensuring they integrate quickly and enhance team effectiveness from day one.

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Product Analyst

London-based

£450 per day outside (IR35)

3-Month Contract

Hybrid, Remote

This contract opportunity sits within a data-led organisation at a key point of growth, where product decisions are driven by insight, experimentation and clear measurement. You will work at the intersection of product, engineering and commercial teams, using data to influence strategy and shape meaningful user outcomes.

The Company

They are a digitally native business with data embedded at the heart of decision-making. An established analytics function partners closely with teams across the organisation to improve user and partner experiences. The business continues to invest in modern tooling, experimentation and a strong culture of shared learning and transparency.

The Role and Deliverables

• Partner with product and business stakeholders to uncover user behaviour, pain points and opportunities through robust quantitative analysis
• Design and support experiments, develop hypotheses, and help size and prioritise new product initiatives
• Define, align and document key metrics, working closely with engineers to ensure reliable and consistent data foundations
• Build and maintain self-serve dashboards and analytical tools to enable data-informed decision-making
• Deliver deep-dive analysis with clear recommendations to support strategic product and business decisions
• Contribute to a central insights and knowledge hub, promoting shared understanding across teams

Your Skills & Experience

• Strong experience applying data analysis within a product-focused or digitally native environment
• Proficiency with SQL, Python or R, and familiarity with modern BI and analytics platforms
• Ability to translate complex business questions into structured analytical approaches and actionable insight
• Strong data storytelling skills, with confidence presenting findings to stakeholders at varying levels
• A proactive, detail-oriented mindset with genuine curiosity about user behaviour
• Comfortable collaborating closely with cross-functional teams while operating independently in a senior analytics environment

How to Apply

Register your interest by sending your CV to Ananya Gupta via the Apply Link on this page.

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Senior Scientific Data Scientist / Python Engineer
Oxfordshire, Hybrid | Outside IR35

The Company
They are a specialist biotech-focused organisation supporting pharmaceutical and biotech partners with high-quality experimental data. Operating in a fast-paced CRO-style environment, they run large-scale assay platforms that generate complex, decision-critical datasets. Their culture is highly collaborative, with scientists and engineers working closely to deliver meaningful insights to clients.
The Role and Deliverables

• Build, maintain, and optimise Python-based data pipelines for bioassay and experimental data.
• Translate laboratory workflows into robust, automated analytical processes.
• Deliver reliable data quality control, normalisation, and modelling outputs.
• Implement and refine dose response and curve-fitting analyses.
• Improve data structure, reproducibility, and scalability across the analytics platform.
• Support the clear interpretation and presentation of results to internal teams and external clients.

Your Skills and Experience

• Strong experience working with drug discovery, biotech, or CRO environments.
• Hands-on capability with bioassay or experimental scientific data.
• Advanced Python skills, including Pandas, NumPy, and SciPy.
• Proven ability to build and maintain data pipelines and automated workflows.
• Experience with statistical analysis, data validation, and curve-fitting models.
• Confidence collaborating closely with scientists and explaining analytical outputs clearly.

How to Apply
If you are a scientific data specialist looking for a high-impact contract role within drug discovery, apply now to learn more.

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This is a high-impact freelance opportunity for an experienced creative and advertising leader to take ownership of current customer campaigns at scale. You will sit at the centre of creative strategy, agency management, and stakeholder engagement, shaping work that directly drives customer loyalty, retention, and revenue across multiple channels.

The Company
They are a large, consumer-facing organisation with a strong focus on brand, customer experience, and long-term customer value. Operating at scale, the business invests heavily in creative excellence and data-informed marketing to support ongoing growth. Collaboration across marketing, product, and leadership teams is central to how they deliver results.

The Role and Deliverables

• Act as the primary point of contact for internal stakeholders and external creative agencies, aligning creative strategy to business goals and KPIs
• Lead end-to-end delivery of current customer creative campaigns, from briefing through to final execution and quality control
• Manage agency partners to ensure creative output meets brief, brand standards, timelines, and budget requirements
• Review, shape, and approve creative concepts, messaging, and final assets across on-platform and on-air channels
• Present creative work and campaign rationale to senior stakeholders, clearly articulating options and recommendations
• Maintain robust project documentation, including campaign archiving, rights management, and post-campaign learnings

Your Skills and Experience

• Strong experience in advertising, creative services, or marketing project management environments
• Proven ability to manage external creative agencies from concept development through to final delivery
• Background in customer retention or loyalty-focused marketing, with a clear understanding of churn reduction and revenue impact
• Confidence presenting creative work and strategic thinking to senior leadership audiences
• Excellent project management skills, with the ability to handle multiple workstreams in a fast-paced setting
• Hands-on experience with tools such as PowerPoint, Excel, Smartsheets, Figma, and creative asset management platforms

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Senior Scientific Data Scientist / Pipeline Engineer
Fully remote but can be hybrid upon request.
6 Month Contract likely to extend
Outside IR35
£450 to £500 per day

This is a chance to work on scientifically meaningful software that directly supports real-world discovery. You will take ownership of analytical pipelines that sit at the heart of a data-driven research platform, collaborating closely with scientists to turn complex experimental data into reliable, scalable insights.

The Company

They are a technology-led life sciences organisation operating at the intersection of biology, automation, and data. The business builds platforms that generate high-quality experimental data at scale and uses advanced analytics to accelerate scientific discovery. With a strong emphasis on rigour, reproducibility, and collaboration, they bring together engineers and scientists to solve complex research challenges.

The Role and Deliverables

• Design, build, and maintain Python-based analytical pipelines for a range of experimental and bioassay data.
• Implement robust statistical and modelling workflows, including quality control, normalisation, and curve fitting.
• Translate scientific workflows into reproducible, automated analysis processes.
• Partner closely with laboratory-based scientists to understand experimental design and data requirements.
• Improve data structures and analysis readiness across the platform.
• Contribute to clear documentation and well-engineered, production-ready code.

Your Skills & Experience

• Strong experience using Python for scientific or analytical software development.
• Proven capability analysing complex, structured experimental or assay-style datasets.
• Solid understanding of statistical modelling, curve fitting, and data quality control.
• Experience building end-to-end data or analysis pipelines with a focus on reproducibility.
• Comfortable using version control and applying sound software engineering practices.
• Able to communicate clearly with both technical and scientific stakeholders.

How to Apply
If you feel this role aligns with your skillset and would like to apply, please click the link below

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Lead Advertising & Creative Services Manager

• $50 per hour
• 6 Month Contract
• Remote – Must be based in the US

Job Summary

A leading media and entertainment organisation is seeking a Lead Advertising & Creative Services Manager with experience in customer retention marketing and agency collaboration. This role focuses on developing and delivering creative campaigns targeted at existing customers, with the goal of increasing loyalty, reducing churn, and driving revenue.

The successful candidate will provide strategic creative direction, manage external agency partners, and work cross-functionally with internal teams to ensure campaigns are delivered on time, within budget, and aligned to brand and business objectives.

Key Responsibilities

• Act as the main point of contact for internal stakeholders and external agency partners on designated projects

• Build strong cross-functional relationships to align creative outputs with business goals and performance metrics

• Manage end-to-end delivery of customer-focused creative campaigns, including:

  • Reviewing briefs and defining creative requirements
  • Briefing and guiding agency partners
  • Managing project timelines and ensuring deadlines are met
  • Reviewing and approving creative assets and messaging
  • Presenting campaign concepts and progress to senior stakeholders
  • Consolidating and delivering feedback to agencies
  • Overseeing quality control throughout the project lifecycle
  • Ensuring final delivery meets agreed specifications and budget

• Maintain accurate project documentation, including:

  • Archiving completed campaigns and tracking historical activity
  • Monitoring usage rights and renewals
  • Capturing and sharing campaign performance insights and learnings

• Manage campaign budgets in line with agreed scopes of work

• Proactively identify risks, resolve project challenges, and implement process improvements and best practices

Experience Required

• At least 3 years’ experience in advertising, creative services, or marketing project management
• Proven ability to manage external creative agencies from concept through to final delivery
• Experience presenting creative work and campaign strategy to senior stakeholders
• Strong multitasking skills with the ability to manage multiple projects in a fast-paced environment
• Background in retention marketing with a focus on customer loyalty, churn reduction, and revenue growth

Education

• Bachelor’s degree in Marketing, Advertising, Communications, or a related discipline (preferred)

Key Skills

• Strong understanding of creative processes, formats, and multi-channel delivery
• Excellent project management and organisational skills with high attention to detail
• Strong written, verbal, and presentation communication abilities
• Ability to problem-solve and independently resolve project challenges
• Collaborative team player with a proactive approach

Systems & Tools

• Proficiency in Microsoft Office (including PowerPoint and Excel)
• Familiarity with project management tools such as Smartsheet
• Experience with design collaboration tools (e.g. Figma)
• Knowledge of content and asset management platforms (e.g. CMS and document sharing systems)

Working Arrangement

• Fully remote role, open to candidates based within the United States

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BUSINESS ANALYST

£480 to £550 per day

OUTSIDE IR35

LONDON

HYBRID: 1 TO 2 DAYS A WEEK IN OFFICE

3 MONTH PROJECT

IMMEDIATE START

Company

A global strategy consulting firm working with business leaders and private equity firms to solve high-stakes challenges across M&A, marketing, sustainability, and performance improvement.

THE ROLE

The role is to define how investment activity should be classified, captured, and reported so it can be built into the new Finance Data Warehouse, replacing the current fragile Excel‑based process with clear, build‑ready requirements for the Finance Systems team. Document current reporting processes, KPI’s, data sources and gaps

• Define how investment reporting will scale into the new finance data warehouse
• Define a tactical classification and data capture approach that integrates into the FDW
• Act as a middle point between Finance stakeholders and the finance systems team
• Produce clear, unambiguous documentation for developers to build from
• Work with chaotic, inconsistent data environment and bring structure to it.
• Support senior internal stakeholders

SKILLS AND EXPERIENCE

The successful Business Analyst will have the following skills and experience:

• Strong Business Analyst background with requirements gathering documentation and stakeholder management
• Experience with Power Query and Alteryx (able to read and understand, coding is a plus)
• Background in financial services, consulting or similar professional services.
• Finance domain knowledge, comfortable discussing P&L, cash flow, KPIs, business plan assumptions, actuals tracking, and variance.
• Ability to work with both technical and non-technical stakeholders

Please send your CV if you think you are suitable for this role

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Business Analyst – Finance Reporting & BI Transformation

* Initial 6-month contract
* Outside IR35
* £500-600pd
* London – 2 days per week onsite

Overview:

A global strategy consulting business is looking for a hands-on Business Analyst to support the ongoing evolution of its finance systems and reporting capability.

The role will focus on improving and standardising finance reporting processes across the business, working closely with finance, reporting and technology teams to rationalise the current reporting estate, improve stakeholder adoption, and support the move towards a more modern Power BI/Fabric environment.

This is a highly stakeholder-facing role within a global environment, supporting users across multiple regions from the US West Coast through to Australia.

Key Responsibilities:

• Gather and document business and reporting requirements end-to-end
• Create functional and technical specifications for reporting solutions
• Assess the current reporting estate to identify overlap, duplication, and gaps
• Help define reporting standards, frameworks, and best practices
• Support the design and delivery of scalable Power BI reporting solutions
• Work with SQL databases and support the transition towards Microsoft Fabric
• Collaborate closely with the BI Architect and wider technology teams
• Support testing and validation activities across reporting and test environments before production release
• Deliver clear progress updates and communicate effectively with global stakeholders
• Support rollout and adoption of reporting solutions across the business
• Work alongside offshore BI and reporting resources

Required Experience:

• Strong Power BI reporting and dashboard experience
• Strong SQL capability and understanding of reporting/data structures
• Experience gathering and documenting business requirements
• Experience creating technical specifications and delivery documentation
• Strong stakeholder management and communication skills
• Experience working within finance reporting, management reporting or FP&A environments
• Experience working within consultancy, professional services, finance systems or financial services environments
• Comfortable working in global, fast-paced stakeholder environments
• Experience coordinating with offshore delivery teams
• Strong governance, UAT and documentation capability
• Ability to work autonomously and drive initiatives forward

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This is an excellent opportunity to step into a hands‑on Product Analyst role within a well‑known consumer membership platform. You’ll play a key role in analysing how members and partners use the discount card product, uncovering trends, pain points, and opportunities, and translating data into clear insights for non‑technical stakeholders across the business.

This role sits firmly in analytics rather than data science, ideal for someone with strong SQL, solid Python, and experience working in product or experimentation‑led environments.

The Role

• Analyse how members use the discount card, identifying behavioural trends, usage patterns, and drop‑offs
• Evaluate partner (merchant/client) performance and engagement with the product
• Use multiple data sources including customer behaviour data, surveys, pain points, and year‑to‑year trends
• Support experimentation and A/B testing, measuring impact and surfacing actionable recommendations
• Translate complex analysis into simple, compelling insights for product, commercial, and senior stakeholders
• Present findings clearly, focusing on what the data means and what action to take, not just the numbers
• Work closely with cross‑functional teams to inform product decisions and improvements

Your Skills and Experience

• Strong experience in a Product Analyst or Data Analyst role (not data science focused)
• Excellent SQL skills with confidence querying and interpreting large datasets
• Working knowledge of Python for analysis is highly desirable
• Previous experience with experimentation / A/B testing in a product or digital environment
• Strong communication skills, with the ability to explain insights to non‑technical audiences
• Background in consumer, digital, or membership‑based platforms preferred

Why This Role

• High‑impact, insight‑driven role influencing real product decisions
• Strong stakeholder exposure with a clear focus on storytelling and simplification

• Lean environment with fast decision‑making

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Senior Scientific Data Scientist / Pipeline Engineer
Remote / Hybrid Oxford
6 Month Contract
Outside IR35
£400 to £550 per day

Overview

A technology-enabled drug discovery company is looking for a Senior Scientific Data Scientist to design, build and maintain the analytical pipelines that power its data-driven discovery platform.

The business combines automated wet-lab experimentation, proprietary analytical pipelines and deep scientific expertise to generate high-quality, reproducible biological datasets at scale. This data supports AI-driven discovery work across areas including oncology, immunology and neurodegeneration.

This role would suit a scientist-turned-coder or scientific data scientist with strong Python skills, statistical modelling experience and a background working with bioassay or experimental biology data.

The Role

You will build and improve Python-based analytical pipelines for diverse bioassay datasets, including biochemical, biophysical and cell-based assays.

You will work closely with wet-lab scientists to understand assay logic, experimental design and data handover processes, then translate those workflows into automated, reproducible analysis pipelines.

The work will involve dose-response modelling, curve fitting, QC, normalisation, plate-level statistics and data validation, helping scientists generate clearer, faster and more reliable insight from complex experimental data.

Key Responsibilities

• Build, maintain and extend Python-based analytical pipelines for bioassay datasets
• Develop statistical and modelling workflows, including dose-response modelling, 4PL curve fitting and mechanistic models
• Build QC, normalisation and data validation frameworks for experimental biology data
• Support plate-level statistics and analysis of high-throughput assay outputs
• Translate wet-lab scientific workflows into reproducible automated pipelines
• Improve data structures, file preparation and analysis readiness
• Partner with wet-lab scientists to understand assay design and experimental logic
• Clearly communicate analytical choices, QC decisions and modelling approaches
• Build robust, documented and reusable scientific software

Essential Skills

• Strong Python experience for scientific computing
• Experience with Pandas, NumPy, SciPy and visualisation libraries such as Matplotlib or Seaborn
• Experience analysing bioassay, assay or experimental biology data
• Understanding of dose-response modelling, curve fitting, 4PL, EC50 / IC50 or similar
• Experience with QC, normalisation, data validation or plate-level statistics
• Experience building reproducible analytical pipelines or automated workflows
• Good software engineering habits, including Git, documentation and reproducibility
• Ability to work closely with wet-lab scientists and translate scientific requirements into computational workflows

Nice to Have

• Experience with 384-well or 1536-well plate-based assay data
• lmfit, Pandera, scikit-learn, Biopython or RDKit
• Background in drug discovery, biotech, pharma or CRO environments
• Experience across biophysics, cell biology, enzymology, oncology or immunology
• Experience with high-throughput screening, assay validation or automated lab platforms

The Candidate

The ideal candidate will be scientifically fluent and technically hands-on. You may come from a scientific data science, computational biology, bioinformatics, research software engineering or scientific software background.

You should be comfortable working with complex experimental data, applying statistical rigour and building tools that improve speed, reproducibility and scientific insight across a multidisciplinary team.

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