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• Braze Campaign Operations Specialist (Contract)
• 3 Month Contract
• Up to £350 per day (Inside IR35) DOE
• 2 days per week onsite in London

We’re working with a leading business looking to bring in a Braze expert to support on campaign operations.

The Role

This is a hands-on delivery role where you’ll take ownership of building, testing, and optimising multi-channel CRM and lifecycle campaigns, within Braze. You’ll work closely with internal strategy, data, and creative teams, as well as client stakeholders, to ensure campaigns are delivered on time, to spec, and to a consistently high standard.

Key Responsibilities

• Build and deploy CRM and lifecycle campaigns in Braze.

• Support the business through campaign setup, QA and reporting, ensuring seamless execution.

• Collaborate with strategy, data, and creative teams to deliver engaging and effective customer journeys.

• Manage stakeholder communications and maintain strong client relationships.

• Troubleshoot campaign issues and uphold best practices across workflows and automation.

Skills & Experience

• Certified Braze Expert (key), with extensive hands-on experience in campaign building and automation.

• Deep understanding of CRM workflows, segmentation, and lifecycle marketing principles.

• Excellent communicator, able to clearly articulate technical concepts to clients and non-technical audiences.

• Confident managing multiple workstreams independently within a fast-paced agency environment.

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Adobe Campaign Developer

£300-350 per day

3 months

We’re working with a well-known retailer who is looking for an experienced Adobe Campaign Developer to support their CRM and customer marketing initiatives on a contract basis.

This role will sit within a fast-paced digital and marketing environment, working closely with CRM, data, and marketing teams to design, build, and optimise multi-channel customer campaigns.

Key Responsibilities

• Design, develop, and deliver customer journeys and campaigns using Adobe Campaign (Classic or Standard)
• Build and maintain workflows, schemas, and targeting rules
• Develop and manage email, SMS, and push campaign templates
• Integrate Adobe Campaign with internal data sources and external systems
• Troubleshoot campaign and data issues, ensuring high deliverability and performance
• Support campaign automation, personalisation, and segmentation strategies
• Work closely with marketing and CRM stakeholders to translate requirements into technical solutions
• Ensure best practices around data quality, compliance, and documentation

Skills & Experience Required

• Proven hands-on experience as an Adobe Campaign Developer
• Strong knowledge of Adobe Campaign Classic (JavaScript, SQL, workflows, schemas) or Adobe Campaign Standard
• Solid SQL and data manipulation skills
• Experience working in retail or eCommerce environments (highly desirable)
• Understanding of CRM, customer data platforms, and multi-channel marketing
• Experience integrating APIs and external data feeds
• Strong problem-solving skills and ability to work independently in a contract setting

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Data Scientist Contractor

£500-600pd Outside IR35

3 months

We are working with a leading consultancy that is looking for an experienced Marketing Mix Modelling (MMM) Data Scientist to join on a contract basis. This role will focus on delivering robust marketing effectiveness and ROI insights for high-profile clients across multiple sectors.

The Role

As an MMM Data Scientist, you will play a key role in designing, building, and validating marketing mix models to inform strategic marketing decisions. You will work closely with consultants, client stakeholders, and analytics teams to translate complex data into clear, actionable recommendations.

Key Responsibilities

• Design and build Marketing Mix Models to measure marketing effectiveness and ROI

• Analyse large, complex datasets covering media spend, sales, and external factors

• Apply statistical and econometric techniques to model impact and attribution

• Use Python and/or R to develop, test, and deploy models

• Use SQL to extract, transform, and analyse data from multiple sources

• Support scenario planning, forecasting, and budget optimisation

• Present insights and recommendations clearly to non-technical stakeholders

• Collaborate with consulting teams to deliver high-quality client outputs

Required Skills & Experience

• Proven experience as an MMM Data Scientist or Marketing Analytics Consultant

• Strong understanding of marketing mix modelling, attribution, and causal inference

• Hands-on experience with Python and/or R for statistical modelling

• Strong SQL skills for data extraction and manipulation

• Experience working with marketing and media data (digital & offline channels)

• Ability to communicate complex analysis clearly and confidently

• Experience working in a consulting or client-facing environment

• Comfortable working as a contractor in fast-paced project settings

Nice to Have

• Experience working with large brands or multi-market models

• Familiarity with Bayesian MMM or advanced econometric approaches

• Experience with cloud data platforms or marketing analytics tools

• Background in retail, FMCG, tech, or financial services

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Pricing Optimisation Data Scientist

£600-700 per day

Inside IR35

3 months

The Role

As a Pricing Optimisation Data Scientist, you will work closely with product, commercial, and engineering teams to design, build, and deploy pricing models. You will analyse large datasets, run experiments, and deliver actionable insights that directly impact business performance.

Key Responsibilities

• Develop and maintain pricing optimisation models using Python and SQL
• Analyse customer behaviour, demand elasticity, and price sensitivity
• Design and evaluate A/B tests and pricing experiments
• Build data pipelines and analytical datasets to support pricing decisions
• Translate complex analytical results into clear insights for stakeholders
• Collaborate with product managers and engineers to implement pricing changes
• Monitor pricing performance and continuously improve models

Required Skills & Experience

• Strong experience as a Data Scientist or Pricing Analyst in a commercial or tech environment
• Advanced SQL skills for querying and transforming large datasets
• Strong Python experience (e.g. pandas, numpy, scikit-learn, statsmodels)
• Solid understanding of pricing theory, optimisation, and experimentation
• Experience working with large-scale data in a fast-paced environment
• Ability to communicate insights clearly to non-technical stakeholders
• Proven experience working in a contract or project-based role (preferred)

Nice to Have

• Experience with dynamic pricing, revenue management, or marketplace pricing
• Familiarity with cloud data platforms (e.g. BigQuery, Snowflake, Redshift)
• Experience working in a high-growth tech or digital product company

For more information please click the apply link on this page

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Senior ML Infrastructure Engineer (Robotics)
London
Contract, Outside IR35
£600-1000 per day
Primarily onsite

Overview
We are partnering with a robotics and AI company building the core software infrastructure that enables advanced AI models to operate reliably in real-world robotic systems. They are looking for a Senior ML Infrastructure Engineer to design, build, and optimise the training and inference platforms at the heart of their technology.

This is a hands-on engineering role focused on scale, performance, and reliability. You will work across the full machine learning lifecycle, from distributed training pipelines to highly optimised inference systems deployed into production robotics environments.

The Role
You will join a highly technical team working at the intersection of software engineering, machine learning infrastructure, and robotics. Your focus will be on turning cutting-edge models into robust, production-ready systems that run efficiently across cloud and constrained hardware environments.

You will collaborate closely with researchers and ML engineers, help shape architectural decisions, and solve complex systems problems that directly impact real-world deployment.

Key Responsibilities
* Design, build, and maintain distributed ML training pipelines including data preprocessing, orchestration, training, and evaluation
* Optimise training performance, scalability, and resource utilisation across online and offline learning workflows
* Develop and optimise AI inference pipelines for deployment into real-world robotic systems
* Build infrastructure and tooling to support reliable model integration, monitoring, and production analysis
* Implement optimisation strategies across inference paradigms, including autoregressive, denoising, hierarchical, and multi-agent systems
* Work across cloud and hardware constraints to ensure models run efficiently in production
* Contribute to high engineering standards through testing, CI, and robust system design

Required Experience
* Strong software engineering background with Python and or C++
* Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or JAX
* Experience building or maintaining ML infrastructure, training platforms, or inference systems
* Solid understanding of distributed systems, parallel computing, and large-scale data processing
* Strong fundamentals in algorithms, data structures, and system design

Nice to Have
* Experience optimising ML inference for robotics, edge, or embedded systems
* Exposure to low-level systems concepts such as multithreading, networking, or memory management
* Experience with ML performance optimisation or compilers
* Background in reinforcement learning, VLA models, or embodied AI systems
* Experience working in cloud environments such as AWS, GCP, or Azure

Why Apply
* Work on real-world robotics systems rather than research-only models
* Solve complex engineering problems with direct impact on deployed products
* Based in London, with a highly technical, collaborative team

To Apply, Please email:

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Analytics Engineering Insight Lead (Part-Time)

Location: Ideally 1 day per week in London
Contract Length: 3 months
Day Rate: £300-£400pd
Start Date: January

Overview

This role sits at the intersection of analytics engineering and insight, supporting both growth and operational teams. The focus is on customer segmentation, lifecycle analysis, and generating high-quality, actionable insights. The successful candidate will be a full-stack data practitioner, comfortable owning data end to end rather than operating purely in reporting.

Key Responsibilities

Growth & Operations

• Split time between growth-focused and operational analytics

• Lead customer segmentation initiatives to deepen understanding of customer behaviour

• Analyse and track customer movement through the end-to-end lifecycle

• Ensure high standards of data quality, cleanliness, and reliability

Reporting & Insights

• Take ownership of the data ecosystem end to end, including:

  • Data ingestion

  • Data modelling

  • Data transformation

• Understand and document:

  • Data origins

  • How data flows into and through the database

• Model and join data across multiple datasets

• Create new datasets where gaps exist

• Prepare data so it is analysis- and report-ready

• Work closely with stakeholders to contextualise insights and support decision-making

Reporting vs Analysis Split

• Much of the foundational data work is already in place

• Expected time allocation:

  • 70% analysis and insight

  • 30% maintaining and improving data foundations

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Technical Business Analyst
Location: Remote (Occasional London travel – once a month)
Contract Length: 3 months
Day Rate: Up to £410pd
Start Date: January

Overview

We are seeking an experienced Technical Business Analyst to support a consultancy client with one of their customers. This is a new opportunity driven by client demand and project expansion. The ideal candidate will have a strong mix of business analysis experience, data profiling expertise, and stakeholder management skills.

Key Responsibilities

• Manage and deliver 2-3 internal and/or client-facing data projects simultaneously
• Liaise directly with clients to gather requirements, document use cases, and map processes
• Work hands-on with new data sets – profiling and documenting data transformation requirements
• Create clear and precise documentation to support an India-based development team
• Collaborate with project stakeholders, developers, and senior business partners
• Support successful project delivery through clear communication and proactive issue resolution

What Success Looks Like

• Delivery of well-documented, high-quality analysis and data transformation requirements
• Positive engagement with stakeholders, particularly in challenging or ambiguous situations
• Contribution to successful scaling and ongoing client engagement
• Demonstrated self-sufficiency and initiative in managing workload and timelines

Required Skills & Experience

• Strong experience in business analysis across digital and data-driven projects
• Hands-on skills in:
• SQL
• Power BI
• Data modelling concepts – logical models, normalisation, data cleansing
• Excellent communication and stakeholder management skills

Preferred Background

• Moved from a technical role into a Business Analyst career
• Previous consulting experience (Big 4 or boutique firms)
• Experience with customer journey or digital projects
• Proven ability to work effectively with offshore delivery teams
• Ability to self-manage and proactively identify project risks or opportunities

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Senior / Principal Data Scientist

Location: Charlottesville, VA
Employment Type: 12 Month Contract-to-hire

About Us

Our client is an engineering consultancy delivering advanced testing, analytics, and consulting services to organizations worldwide. Our mission is to leverage cutting-edge technology and data-driven insights to improve safety and performance in sports and related industries.

Role Overview

We are seeking a Senior / Principal Data Scientist to lead modeling and analytics initiatives across diverse domains, including:

• Computer Vision: Detect and interpret events from game video.
• Sensor Data Analysis: Event detection from athlete-worn devices.
• Generative AI: Develop solutions to deliver actionable insights to end users.

You will design and implement machine learning models, build simulation-based tools, and create dashboards that provide injury risk assessments and mitigation strategies. This role involves research, algorithm development, and presenting findings to executive stakeholders.

Key Responsibilities

• Develop and implement advanced machine learning models and algorithms.
• Build analytical tools and dashboards using frameworks like Shiny, Dash, or Streamlit.
• Collaborate with cross-functional teams to deliver actionable insights.
• Present research and analytics to leadership and clients.

Qualifications

• Education: MS or PhD in Computer Science, Statistics, or related STEM field.
• Strong understanding of machine learning theory and structure.
• Proficiency in Python or R and experience with common ML libraries.
• Experience with SQL/NoSQL databases and distributed processing.
• 5+ years of post-graduate experience in engineering, consulting, or leadership roles.

Preferred:

• Background in biomechanics or sports analytics.
• Publications or conference contributions in relevant fields.
• Experience with professional sports organizations.
• Consulting experience with executive-level presentations.

Ideal Candidate

You are passionate about applying data science to enhance athlete safety and performance. You thrive in collaborative environments and enjoy building innovative solutions that make a real-world impact.

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Sr Data Scientist

Harnham, the leading recruitment specialist in Data and AI is currently partnering with one of the leading Data consultancies in the US which dominates the risk sector across the Sports industry.

• Role – Sr Data Scientist
• Location – Remote
• Pay – $100 – 120 ph
• Length: 6 – 12 month initial contract (which potential conversion to full-time employee at the end)
• Utilization: 40 hrs per week
• Benefits:W2 employees are eligible to health, dental, vision, 401k benefits.

As a Sr Data Scientist you will be focused the majority of your time on building Data models, analysing risks & injuries across multiple sporting sectors in the US. You will get the opportunity to work on some of the most interesting & innovative models which has huge cultural impact globally.

You will be using ML to build Data Models including with VLMs and LLMs to assess the risk of injury to players through play & facilities to help the world of sport ensure the best players are playing, and not in the medical room.

Key Responsibilities:

• Building Data Models focused on injury assessment
• Work with Jr Data Scientists in the team to provide guidance and direction to their work and act as a technical lead
• Work with VLMs to assess impact of changes and environment to player welfare
• Use and utilize AI to build best-in-class models

Requirements:

• Degree in CompSci, Stats or STEM
• Strong ML experience
• Experience working with VLM inputs into data modelling in production
• Demonstrable production experience with Python
• AWS background
• Experience within the Sports sector or industry

This is an excellent opportunity for an individuals who want to work in the Sports sector and have a massive impact on the weekly culture of the USA through Data

To Apply for this Job Click Here

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Lifecycle Marketing Manager (Email / CRM / Growth)

Contract Length: 3 months (with potential to extend or convert to permanent)
Day Rate: £300-£350 (Outside IR35)
Location: London (hybrid – ideally 1-3 days onsite)
Start Date: ASAP

Overview

A fast-growing healthcare ecommerce business is looking for an experienced Lifecycle Marketing Manager to support a high-volume, transactional product. This is a hands-on contract role focused primarily on email-led acquisition, supporting lead capture, nurture journeys and conversion across the funnel.

The role has come about due to increased demand on the lifecycle and growth teams and the need for immediate, experienced support.

Key Responsibilities

• Own and execute email-led acquisition campaigns for a high-volume ecommerce product

• Build, optimise and deliver lead capture flows, nurture journeys and conversion-focused email sequences

• Work closely with growth, performance and product teams to support acquisition goals

• Deliver BAU lifecycle activity while continuously improving performance against acquisition targets

• Use data and insight to optimise journeys and contribute to wider growth loops

• Support testing and iteration across email campaigns and journeys

What Success Looks Like

• Email campaigns, sequences and journeys delivered consistently and effectively

• Clear contribution to acquisition and conversion targets through lifecycle activity

• Strong collaboration with growth and performance marketing teams

• Email operating as a true owned growth channel, integrated with wider acquisition efforts

Skills & Experience Required

Must-haves:

• Strong experience in email marketing and lifecycle-led acquisition

• Experience working on high-volume ecommerce or transactional products

• Proven understanding of email as an owned channel within broader growth loops

Nice to have:

• HTML for email

• Experience with Customer.io or similar lifecycle platforms

Team & Stakeholders

• Collaboration with 2-3 Growth Managers (organic, paid, performance)

• Close working relationship with a Product Manager

• Partnering with a Lifecycle Marketing Manager focused on retention

Working Arrangement

• Hybrid working preferred (1-3 days onsite)

• Immediate availability strongly preferred

Interview Process

• Single-stage interview

• Discussion around experience and approach to email, lifecycle and growth

To Apply for this Job Click Here

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Data Engineer – Contract

Duration: 6 months
Location: Central London – 2/3 days per week in the office.
Rate: £750 Inside IR35

I’m partnering with a technology-led organisation to hire a Senior Data Engineer with strong cloud and Python experience and hands-on exposure to PyTorch-based ML workloads. This role sits firmly in data engineering rather than data science or pure ML engineering and will suit someone who has supported ML pipelines and datasets in production cloud environments.

You’ll work on large-scale, cloud-based data systems, managing high volumes of unstructured data and enabling machine learning workflows to run reliably and efficiently. The focus is on robust engineering, not experimentation.

Key Responsibilities

* Design, build, and maintain scalable cloud data pipelines supporting ML workloads
* Manage large volumes of unstructured data using cloud object storage (GCS / S3)
* Support PyTorch-based data loading and dataset management in production environments
* Work closely with ML practitioners to enable training and inference pipelines
* Ensure efficient memory usage and performance when handling large datasets
* Integrate data from SQL-based systems into cloud and ML pipelines
* Apply best practices around reliability, monitoring, and scalability

Required Experience

* Strong commercial experience as a Data Engineer
* Strong Python development skills
* Hands-on experience with cloud object storage (GCS preferred, or AWS S3)
* Practical PyTorch experience (e.g. supporting training pipelines, dataset handling, data loaders)
* Experience working in cloud environments with large-scale file-based data

Desired Experience

* BigQuery (GCP)
* SQL databases (Microsoft SQL Server preferred; PostgreSQL also acceptable)
* Memory management and performance optimisation
* Exposure to ML workflows (without being a dedicated ML Engineer)

Nice to Have

* Broader GCP experience (Cloud Run, Cloud SQL, Cloud Scheduler, etc.)
* Pharma or life sciences domain exposure (or strong interest in the space)
* TensorFlow experience (acceptable alternative to PyTorch)

This is an excellent opportunity for a Data Engineer who has worked alongside ML teams and understands how to operationalise PyTorch workloads in the cloud.

Apply below!

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POWER BI ANALYST

£400 – £480 PER DAY OUTSIDE IR35

HYBRID (3 DAYS PER WEEK – LONDON)

3 MONTH CONTRACT

THE COMPANY:

Join an advertising company as a Power BI Analyst.

THE ROLE:

As a Power BI Analyst, your responsibilities will include:

• Develop production-ready Power BI dashboards aligned to business requirements
• Build scalable, future-proofed data models that support evolving datasets
• Use strong DAX, SQL, and Power Query skills to transform and model data effectively
• Create dashboards that follow visualisation best practice and deliver clear insights
• Connect to and integrate data from multiple
• Manage Power BI Service tasks including publishing, refresh scheduling, and permissions
• Work from clear stakeholder briefs and participate in regular check-ins and feedback cycles
• Collaborate closely with a senior team member providing strategic and QA oversight

YOUR SKILLS AND EXPERIENCE:

The successful Power BI Analyst, will have:

• Advanced experience with Power BI
• Strong DAX and SQL expertise
• Skilled in Power Query and ETL processes
• Strong understanding of dashboard design and visual best practices
• Experience integrating data from multiple systems (Snowflake preferred)
• Solid experience with Power BI Service (publishing, refreshes, permissions)
• Strong analytical mindset and ability to produce clean, well-documented work

HOW TO APPLY:

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

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