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Generative AI Support Specialist

Harnham, the leading recruitment specialist in Data and AI, is currently partnering with a well-established organization within the financial intelligence and analytics sector. They are investing heavily in enterprise AI capabilities and are seeking a Generative AI Support Specialist to help scale adoption, enhance user enablement, and maximize the value of generative AI technologies across the business.

• Role: Generative AI Support Specialist
• Location: New York (Hybrid, 3 days onsite)
• Pay: $60-75 per hour
• Length: 3-6 months
• Utilization: 40 hrs/week
• Benefits: W2 employees are eligible for health, dental, vision, and 401k benefits.

As a Generative AI Support Specialist, you will serve as the organization’s subject matter expert for enterprise AI platforms, supporting business users, administering AI environments, and helping design practical AI-enabled solutions. You will work closely with stakeholders across the business to drive adoption, improve workflows, and ensure effective governance and operational excellence.

Key Responsibilities:

• Serve as the primary expert for enterprise generative AI platforms, including ChatGPT Enterprise and Claude.
• Investigate, troubleshoot, and resolve complex AI-related support requests.
• Administer enterprise AI environments, including user provisioning, permissions, analytics, and governance controls.
• Coach users on effective prompting techniques, AI best practices, and responsible AI usage.
• Partner with business teams to identify opportunities for AI-enabled process improvements and workflow optimization.
• Develop documentation, implementation guides, knowledge articles, and solution recommendations.

Requirements:

• Bachelor’s degree in Data Science, Computer Science, Machine Learning, Analytics, Engineering, or a related technical field.
• Strong hands-on experience with ChatGPT, Claude, or enterprise generative AI platforms.
• Demonstrated expertise in prompt engineering and advanced AI workflow design.
• Strong troubleshooting and technical problem-solving skills.
• Ability to work directly with business users and translate business requirements into AI-enabled solutions.
• Excellent written and verbal communication skills with the ability to manage multiple priorities effectively.
• Experience with Python, APIs, automation tools, integrations, agentic AI systems, multi-agent workflows, or Retrieval-Augmented Generation (RAG) is advantageous.
• Familiarity with enterprise AI governance and responsible AI practices.

This is an excellent opportunity for a technically strong AI professional to work at the forefront of enterprise generative AI adoption, helping shape how AI is used across a leading financial intelligence and analytics organization while delivering tangible business impact.

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AI/ML Engineer (Contract)
London
2 Days in Office
Outside IR35
£400 – £500 Per Day
6 months long

The Company

They are a well-established media business with a strong digital presence and a growing focus on data and AI innovation. Their teams leverage advanced analytics and machine learning to better understand audiences, improve content performance, and support commercial growth. As part of their expanding AI function, you will help deliver solutions that create measurable impact across the organisation.

The Role and Deliverables

• Design, develop, and deploy machine learning models into production environments.
• Build AI solutions that support audience segmentation, content recommendation, and engagement optimisation.
• Develop scalable data and machine learning pipelines to support high-volume media datasets.
• Collaborate with data scientists, data engineers, product teams, and business stakeholders to deliver AI-driven products.
• Implement MLOps best practices, including model monitoring, testing, and deployment automation.
• Evaluate and apply emerging AI technologies, including generative AI and large language models, where they can provide business value.

Your Skills & Experience

• Strong experience building and deploying machine learning solutions in production environments.
• Advanced Python skills and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience working with cloud technologies such as AWS, Azure, or GCP.
• Strong understanding of MLOps, CI/CD, and machine learning lifecycle management.
• Experience working with large-scale customer, audience, content, advertising, or behavioural datasets.
• Strong stakeholder engagement skills and the ability to translate business requirements into technical solutions.
• Previous experience within the media, publishing, broadcasting, streaming, or digital content sectors is essential.

How to Apply

If you are interested in this AI/ML Engineer opportunity and would like to learn more, please apply with your updated CV.

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AI/ML Engineer (Contract)

London
Fully Remote
Outside IR35
£400 – £500 Per Day
3 months long initially, may extended.

The Company

They are a well-established consumer goods business with a strong international presence and a growing investment in AI and advanced analytics. Data and technology are central to their strategy, with multiple initiatives focused on automation, personalisation, and operational efficiency. You will work within a collaborative environment where innovation is encouraged and modern machine learning technologies are actively adopted.

The Role and Deliverables

• Build, deploy, and maintain machine learning models for a range of business use cases.
• Develop scalable AI solutions that support customer, marketing, supply chain, and commercial functions.
• Work closely with data scientists, data engineers, and business stakeholders to translate requirements into production-ready solutions.
• Implement MLOps best practices to support model deployment, monitoring, and performance optimisation.
• Evaluate and integrate emerging AI technologies, including generative AI and large language models where appropriate.
• Support the development of a robust machine learning infrastructure and technical roadmap.

Your Skills & Experience

• Strong experience developing and deploying machine learning models in production environments.
• Excellent Python development skills and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of MLOps, CI/CD principles, and model lifecycle management.
• Experience building scalable data and AI solutions using modern engineering practices.
• Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
• Experience within a consumer goods, retail, e-commerce, or FMCG environment would be advantageous.

How to Apply

If you are interested in this AI/ML Engineer opportunity and would like to learn more, please apply with your updated CV.

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Data Scientist
London
2 Days in Office
Outside IR35
£500 – £600 Per Day
6 months long

The Company
They are a well-established media organisation with a strong presence across digital and traditional channels. The business is heavily invested in data and analytics, using insights to enhance audience experiences and support growth initiatives. They foster a collaborative environment where data science plays a key role in business strategy. You will join a team that values innovation, experimentation, and continuous learning.

The Role and Deliverables

• Build and deploy data science solutions to support audience growth, content optimisation, and commercial performance.
• Analyse large and complex datasets to identify trends, opportunities, and actionable insights.
• Develop predictive models and machine learning solutions to improve business decision-making.
• Collaborate with stakeholders across analytics, product, marketing, and commercial teams.
• Communicate findings through clear visualisations, presentations, and recommendations.
• Contribute to the development of best practices for data science and advanced analytics within the organisation.

Your Skills & Experience

• Strong experience applying statistical analysis and machine learning techniques to real-world business challenges.
• Advanced programming capability in Python and experience working with data science libraries.
• Strong SQL skills and experience working with large-scale datasets.
• Experience developing predictive models, segmentation frameworks, or recommendation systems.
• Ability to translate complex analytical findings into clear business recommendations.
• Experience using data visualisation tools to communicate insights effectively.
• Strong stakeholder management and communication skills.
• A proactive approach to problem-solving and delivering measurable business impact.

How to Apply
If you are interested in this Data Scientist opportunity and would like to learn more, please apply with your updated CV.

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DATA ANALYST

LEICESTER

4 TO 5 DAYS ONSITE

3 MONTH CONTRACT

OUTSIDE IR35

£350 TO £400 PER DAY

This is an opportunity to join a well-known UK retail business on a contract assignment supporting critical Financial Operations teams. You will work on a range of operational analytics projects, investigating business performance, identifying trends, and delivering insight that supports commercial decision-making across a large retail operation.

The Company

They are a major UK retailer with a complex operational and distribution network. Their Financial Operations function plays a key role in monitoring performance across stock, warehousing, deliveries, and partnerships. Due to increased demand and ongoing permanent hiring activity, they are looking to bring in experienced Contract Data Analysts to support business-critical analytical work.

The Role and Deliverables

• Analyse operational and financial operations data to identify trends, issues, and opportunities.
• Investigate stock, warehousing, delivery, partnership, and KPI performance.
• Build, maintain, and enhance Power BI reports and dashboards.
• Support planned and ad hoc business investigations, including stock take activities.
• Respond to stakeholder requests and provide actionable insights and recommendations.
• Translate business requirements into meaningful analytical outputs.

Your Skills & Experience

• Strong SQL skills with the ability to analyse and interrogate complex datasets.
• Strong Power BI experience, including reporting and dashboard development.
• Proven experience working as a Data Analyst within a commercial or operational environment.
• Experience investigating operational performance and business issues through data.
• Knowledge of warehousing, stock, inventory, or supply chain analytics.
• Ability to manage multiple stakeholder requests and changing priorities.
• Retail industry experience is highly desirable.
• Python experience would be beneficial.

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Data Analyst
Leicester – 4 days in office
Outside IR35
£350-400pd

This is an excellent opportunity for a Data Analyst to join a well-established retail organisation on an initial 3-month contract. The role offers a varied workload, combining operational analysis, ad hoc business requests, and stock-related investigations, with the opportunity to deliver meaningful insights that support day-to-day business performance.

The Company

They are a recognised retail business with a strong focus on data-driven decision-making. Following changes to their reporting structure, individual business teams now take ownership of operational reporting and analysis, creating a need for additional analytical support. The organisation is looking for a contractor who can quickly add value by providing actionable insights across a range of operational and commercial areas.

The Role and Deliverable

• Deliver operational and commercial analysis to support business decision-making.
• Respond to ad hoc data requests from internal teams and external partners.
• Investigate and analyse stock-related data, including upcoming stock take activities.
• Produce reporting and visualisations using Power BI.
• Write and develop SQL queries to extract, manipulate, and analyse data.
• Provide analytical support across areas such as stock performance, banking data, delivery KPIs, and operational investigations.

Your Skills & Experience

• Strong experience using Power BI for reporting and data visualisation.
• Strong SQL development and data analysis capability.
• Experience working in a Data Analyst position with a focus on operational and ad hoc analysis.
• Ability to investigate business issues and translate data into actionable insights.
• Experience analysing stock, inventory, warehousing, or supply chain data is highly desirable.
• Retail sector experience is preferred.
• Python experience for analysis is advantageous.

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Generative AI Support Specialist
New York City, NY | 3 days onsite

This is a unique opportunity to join an enterprise organization at a pivotal stage in its AI journey. As Generative AI Support Specialist, you will act as the technical expert for enterprise AI platforms, helping users unlock value from advanced AI capabilities while supporting the evolution from chatbot usage to sophisticated multi-agent workflows, automation, and business integrations.

The Company
They are a well-established organization investing heavily in Generative AI adoption across the business. With a growing user base and increasing demand for advanced AI capabilities, they are looking for a technically strong specialist to support users, drive best practices, and help shape the future of AI-enabled ways of working. You will work closely with both technical and business stakeholders to maximize the impact of enterprise AI tools.
The Role and Deliverables

• Serve as the primary escalation point for complex ChatGPT and AI platform support requests.
• Coach users on prompt engineering, model selection, AI workflows, custom GPTs, integrations, connectors, and emerging AI capabilities.
• Administer and support the enterprise AI environment, including workspace configuration, user management, analytics, and troubleshooting.
• Partner with business teams to understand requirements and recommend practical AI-enabled solutions.
• Develop playbooks, documentation, adoption materials, feature guides, and governance-related content.
• Analyse recurring issues, identify improvement opportunities, and help drive greater AI adoption across the organization.

Your Skills & Experience

• Strong hands-on experience with Generative AI platforms such as ChatGPT Enterprise or Claude.
• Demonstrated capability in prompt engineering and designing advanced AI workflows.
• Technical foundation in Data Science, Machine Learning, Analytics, or a related discipline.
• Comfortable working with Python, Markdown, APIs, automation tools, or technical integrations.
• Strong troubleshooting and problem-solving skills with a methodical approach to diagnosing issues.
• Ability to translate business challenges into practical AI solutions.
• Excellent communication and stakeholder management skills, with a customer-focused mindset.
• Comfortable working independently, managing multiple priorities, and operating in a fast-moving environment.
• Experience supporting enterprise SaaS platforms or AI products is highly beneficial.
• Familiarity with emerging areas such as AI agents, workflow orchestration, and enterprise AI governance is advantageous.

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Generative AI Support Specialist
New York City, NY | 3 days onsite
This is a unique opportunity to join an enterprise organization at a pivotal stage in its AI journey. As Generative AI Support Specialist, you will act as the technical expert for enterprise AI platforms, helping users unlock value from advanced AI capabilities while supporting the evolution from chatbot usage to sophisticated multi-agent workflows, automation, and business integrations.
The Company
They are a well-established organization investing heavily in Generative AI adoption across the business. With a growing user base and increasing demand for advanced AI capabilities, they are looking for a technically strong specialist to support users, drive best practices, and help shape the future of AI-enabled ways of working. You will work closely with both technical and business stakeholders to maximize the impact of enterprise AI tools.
The Role and Deliverables

• Serve as the primary escalation point for complex ChatGPT and AI platform support requests.
• Coach users on prompt engineering, model selection, AI workflows, custom GPTs, integrations, connectors, and emerging AI capabilities.
• Administer and support the enterprise AI environment, including workspace configuration, user management, analytics, and troubleshooting.
• Partner with business teams to understand requirements and recommend practical AI-enabled solutions.
• Develop playbooks, documentation, adoption materials, feature guides, and governance-related content.
• Analyse recurring issues, identify improvement opportunities, and help drive greater AI adoption across the organization.

Your Skills & Experience

• Strong hands-on experience with Generative AI platforms such as ChatGPT Enterprise or Claude.
• Demonstrated capability in prompt engineering and designing advanced AI workflows.
• Technical foundation in Data Science, Machine Learning, Analytics, or a related discipline.
• Comfortable working with Python, Markdown, APIs, automation tools, or technical integrations.
• Strong troubleshooting and problem-solving skills with a methodical approach to diagnosing issues.
• Ability to translate business challenges into practical AI solutions.
• Excellent communication and stakeholder management skills, with a customer-focused mindset.
• Comfortable working independently, managing multiple priorities, and operating in a fast-moving environment.
• Experience supporting enterprise SaaS platforms or AI products is highly beneficial.
• Familiarity with emerging areas such as AI agents, workflow orchestration, and enterprise AI governance is advantageous.

How to Apply
If you are a technically strong AI practitioner who enjoys solving complex problems, enabling users, and driving AI adoption across a business, please apply with your latest CV.

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Consumer Goods Data Scientist (Contract)
London
2 Days in Office
Outside IR35
£400 – £500 Per Day
6 months long

The Company
They are a well-established consumer goods business with a strong presence across multiple markets. The organisation is investing heavily in data and analytics to improve customer understanding, optimise commercial performance, and support strategic decision-making. You will join a collaborative team that values innovation, curiosity, and evidence-based thinking.

The Role and Deliverables

• Develop and deploy data science solutions to address customer, marketing, and commercial challenges.
• Build predictive models to support demand forecasting, customer behaviour analysis, and business planning.
• Analyse large datasets to identify trends, opportunities, and actionable insights.
• Partner with stakeholders across commercial, marketing, and analytics functions to translate business requirements into data-driven solutions.
• Present findings and recommendations to both technical and non-technical audiences.
• Support the continuous improvement of analytics methodologies, tools, and processes.

Your Skills & Experience

• Strong experience applying data science techniques within a consumer goods, retail, or customer-focused environment.
• Demonstrated capability in machine learning, statistical modelling, and predictive analytics.
• Proficiency with Python, SQL, and relevant data science libraries.
• Experience working with large and complex datasets to generate business value.
• Ability to communicate technical findings clearly to senior stakeholders.
• Experience delivering end-to-end data science projects from problem definition through to implementation.
• Strong commercial awareness and a data-driven approach to decision-making.

How to Apply
If you are interested in applying your data science expertise within a forward-thinking consumer goods environment, please submit your application for further information

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Senior BI Developer

6 Months | Outside IR35 | £450-500pd | London (1-2 Days per Week) | Immediate Start

THE COMPANY

A leading consulting organisation is seeking a Senior BI Developer to support a major Finance BI transformation programme centred around Microsoft Fabric, Power BI and enterprise data warehousing.

THE ROLE

You’ll be responsible for developing and enhancing finance reporting solutions, working closely with Business Analysts, Architects and stakeholders to deliver key reporting initiatives across Revenue Recognition, Working Capital and Margin Reporting.

RESPONSIBILITIES

• Develop and maintain data warehouse solutions and semantic models
• Design and build Power BI reports and dashboards
• Develop and optimise Microsoft Fabric solutions
• Build, test and maintain ETL pipelines using SQL and SSIS
• Develop and optimise SSAS Cubes and Tabular Models
• Support BI performance tuning and optimisation
• Contribute to CI/CD and deployment processes
• Maintain technical documentation within Azure DevOps

SKILLS & EXPERIENCE

Essential

• Strong Power BI development experience
• Proven Microsoft Fabric implementation experience
• Strong SQL Server and T-SQL skills
• Experience with SSIS, ETL and data integration
• Strong SSAS Cube and Tabular Model experience
• Data Warehousing and Data Modelling expertise
• Experience with SSDT, Visual Studio and Azure DevOps
• Experience with BI CI/CD and deployment processes
• Strong stakeholder engagement skills

Desirable

• Experience delivering finance reporting solutions including:
  • Revenue Recognition
  • Working Capital
  • Margin/Profitability Reporting
  • Financial KPI Reporting
• Professional Services or Consulting experience

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Data Protection / Data Governance Engineer

3 Month Contract | Outside IR35 | £560-£640 per day

London (1 day per week)

A leading digital media and technology business is looking for a Data Protection / Data Governance Engineer to lead a critical governance transformation across a large-scale Google Cloud environment.

This is a hands-on contract focused on moving data governance from policy into practice. The organisation already has governance frameworks in place but now requires an experienced contractor to establish ownership, implement technical controls, and ensure governance is embedded across its cloud and data platforms.

You’ll work closely with Legal, the DPO, Platform Engineering and senior leadership to build a scalable governance capability that balances compliance with business agility.

The Role

Over a 12-week engagement, you will assess and improve a complex GCP estate, implement governance controls, and establish processes that enable the business to meet its data protection and retention obligations.

Success in this role means delivering practical, sustainable governance that is automated wherever possible and can be operated by the permanent team following handover.

Key Responsibilities

• Assess and remediate governance gaps across a large Google Cloud Platform environment.
• Design and implement least-privilege and zero-trust access controls.
• Review and optimise IAM, RBAC, service accounts and organisation policies.
• Work with Legal and Compliance stakeholders to translate policy requirements into technical controls.
• Classify data and implement retention standards across cloud platforms.
• Review large volumes of historical and archived data to determine appropriate retention and deletion approaches.
• Restructure and govern BigQuery datasets to support automated retention and access controls.
• Implement governance controls through Terraform and Infrastructure as Code.
• Establish a practical DPIA process and governance workflows.
• Introduce governance standards across key SaaS platforms including GA4, Meta and Xtremepush.
• Produce documentation, operating procedures and handover packs for the permanent team.

Your Skills & Experience

Essential

• Strong hands-on experience with Google Cloud Platform (GCP).
• Expertise in IAM, RBAC, Organisation Policies and Service Accounts.
• Experience implementing least-privilege and zero-trust security models.
• Strong BigQuery governance and security experience.
• Terraform or equivalent Infrastructure as Code expertise.
• Experience delivering data governance, data protection or cloud governance programmes.
• Strong understanding of GDPR, data retention, DPIAs and broader data protection principles.
• Experience working across Engineering, Legal, Compliance and business stakeholders.
• Proven track record delivering contract engagements independently.

Desirable

• Experience within regulated industries such as Gambling, Gaming, Financial Services, FinTech or Insurance.
• Experience with DLP tooling and data classification frameworks.
• Experience governing SaaS platforms containing personal data.
• Previous experience working within large, complex cloud estates.

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Finance BI Transformation | Microsoft Fabric | Outside IR35

£500-550 per day
Outside IR35
6 Month Initial Contract
London (1-2 Days Per Week)

A leading global consultancy is seeking a Senior Business Analyst to support a major Finance BI transformation programme. The organisation is migrating finance reporting from legacy SQL Server and SSAS environments into a consolidated Microsoft Fabric FinanceBI semantic model, creating a modern reporting and analytics capability across key finance functions.

This is a highly visible role where you’ll act as the senior functional lead across requirements gathering, specification development, UAT and change management, whilst helping bring structure and direction to a growing BA function.

The Role

You’ll work closely with Finance stakeholders, Architects, Developers and the wider BI team to translate business requirements into scalable reporting and data solutions.

Key responsibilities include:

• Leading requirements gathering workshops with Finance stakeholders
• Converting business requirements into detailed functional specifications
• Acting as the key liaison between Finance and technology teams
• Defining data model, reporting and governance requirements
• Supporting the design of scalable ETL and reporting solutions
• Owning UAT planning, execution support and defect triage processes
• Designing and coordinating change management activities for go-lives
• Producing process maps, data dictionaries and requirements documentation
• Providing leadership and structure to the wider BA pod
• Supporting delivery across multiple Finance BI workstreams

Key Projects

You’ll be delivering against a strategic Finance BI roadmap including:

• Finance BI Semantic Model build within Microsoft Fabric
• Case Margin Reporting
• Working Capital Reporting
• Revenue Recognition Reporting
• Sold vs Actual Case Margin Insights
• Global Finance Reporting Dimensions
• Investment Insights and Analytics

Requirements

We’re looking for candidates who can demonstrate:

• Strong experience as a Senior or Lead Business Analyst delivering BI, Data Warehouse, Analytics or Data Platform programmes
• Proven track record gathering requirements, producing detailed functional specifications and leading UAT processes
• Strong stakeholder management across both Finance and Technology teams
• Experience leading or mentoring Business Analysts within a project environment
• Experience working on Finance Reporting, Finance Transformation or Finance Systems programmes
• Strong understanding of data modelling, reporting and analytics solutions
• Ability to bring structure and governance to a fast-moving agile delivery environment

Essential Domain Experience

Candidates must be able to demonstrate experience delivering these finance reporting workstreams:

• Case Margin Reporting
• Working Capital Reporting
• Revenue Recognition Reporting
• Margin, Profitability or Sold vs Actual Analysis
• Global Finance Reporting and Dimensional Models
• Investment Reporting, Insights or Analytics

Applicants who can demonstrate multiple examples across these areas will be particularly well suited to the programme.

Highly Desirable

• Microsoft Fabric experience
• Power BI experience
• SQL Server / SSAS environments
• Finance Data Warehouse or Semantic Model programmes
• Change Management ownership
• Professional Services, Consultancy or Partnership environments
• Experience operating within complex stakeholder landscapes

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