Lead Machine Learning Engineer
England / £90000 - £95000 annum
INFO
RATE:
£90000 - £95000
LOCATION
England
Contract
Lead Machine Learning Engineer (FTC with strong chance of going permanent, flexible working hours)
London or UK Remote, £90,000 to £95,000
This is a high impact opportunity to step into a senior, hands on ML Engineering role where you will lead the productionisation of machine learning solutions while shaping how ML is delivered at scale. Offered initially as a fixed term contract, the role is viewed as part of the long term structure with a strong likelihood of becoming permanent. You will also benefit from genuinely flexible working hours and a healthy work life balance.The Company
They are a large, well established UK organisation with a strong reputation for quality, trust, and a client first mindset. Data and AI are a growing strategic priority, with clear senior sponsorship and increasing investment. The technology function has a strong software engineering culture and is modernising its cloud and data platform to support advanced analytics and AI use cases.
The Role
- Lead the ML Engineering capability, taking ownership of end to end delivery
- Design, build, and productionise scalable ML pipelines aligned to business priorities
- Work closely with Data Scientists to deploy, monitor, and improve models in production
- Own MLOps practices including deployment, monitoring, and model lifecycle management
- Deliver NLP and LLM driven solutions, including fine tuning and integration into live systems
- Contribute as a technical thought leader, setting best practice across ML engineering and data products
- Support cloud migration and platform development within an Azure and Databricks environment
- Strong commercial experience as an ML Engineer with a software engineering background
- Hands on experience delivering production ML systems end to end
- Strong Python and SQL skills within cloud based environments
- Experience working with Databricks and Azure
- Practical experience with NLP and LLM use cases, including fine tuning
- Good understanding of MLOps, CI/CD, and model monitoring
- Comfortable collaborating with Data Scientists and engaging with non technical stakeholders
- £90,000 to £95,000 base salary
- Fixed term contract with a high chance of conversion to permanent
- Annual bonus and comprehensive benefits package
- 35 hour working week with flexible start and finish times, including the option for a four day working week
- Primarily remote working with occasional office attendance if required
- A supportive, delivery focused environment with long term career progression
If you are a hands on ML Engineer looking to lead, scale, and productionise meaningful machine learning solutions, apply now for a confidential discussion.
CONTACT
Sarah Heywood-Jones
Recruitment Executive
SIMILAR
JOB RESULTS
Power Apps Solutions Architect
Newport Beach
$55 - $65
+ Data Engineering
ContractNewport Beach, California
To Apply for this Job Click Here
Our client is seeking a Power Apps Solution Architect to lead the enterprise strategy, architecture, governance, and adoption of Microsoft Power Platform and related business application capabilities. This role serves as the end-to-end owner of the platform, responsible for ensuring secure, scalable, cost-effective, and well-governed solution delivery across business and technology teams.
This position combines platform leadership, solution architecture, and governance ownership, requiring the ability to define standards, influence stakeholders, and enable teams to deliver high-quality solutions within established guardrails.
**We will not be engaging 3rd party agencies on this opportunity.**
Key Responsibilities
Platform Strategy & Ownership
- Own and drive the enterprise Power Platform strategy, roadmap, and operating model
- Ensure alignment with enterprise priorities for security, scalability, cost efficiency, and innovation
Architecture & Solution Design
- Act as the solution architect for Power Platform, Dataverse, and Dynamics 365 initiatives
- Define reference architectures and design patterns for data modeling, integration, and security
- Provide design reviews and technical oversight to ensure consistent solution quality
Governance, Security & Guardrails
- Define and enforce platform guardrails for data access, environments, connectors, and life-cycle
- Partner with cybersecurity and infrastructure teams to ensure compliance
Environment Strategy
- Own environment segmentation, access models, and managed environments
- Implement tenant-level policies for controlled platform usage
Application Lifecycle Management
- Define ALM standards using pipelines, solutions, and DevOps
- Ensure repeatable, low-risk deployments
Platform Operations
- Define intake, design review, onboarding, and support processes
- Establish ownership and support models
Adoption & Analytics
- Leverage CoE Toolkit to monitor usage, risks, and health
- Drive continuous improvement
Copilot & AI Capabilities
- Guide adoption of Copilot Studio and AI capabilities
- Define governance for copilots and automations
Licensing & Cost Management
- Own licensing strategy and cost optimization
- Manage Pay-As-You-Go and capacity models
Stakeholder Leadership
- Partner with business and technology stakeholders
- Provide leadership reporting on adoption, risks, and roadmap
Success Measures
- Adoption of Power Platform in a controlled and scalable manner
- Reduction in security risks and unmanaged solutions
- Improved deployment reliability and ALM maturity
- Effective cost and license optimization
- Consistent enterprise platform operating model
To Apply for this Job Click Here
Lead ML Engineer – 12 Month FTC
Edinburgh
£80000 - £90000
+ Data Science & AI
PermanentEdinburgh
To Apply for this Job Click Here
Lead ML Engineer (12-month FTC)
£80,000 – £90,000
Remote (UK Based Only)
This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation.
THE COMPANY
They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms.
THE ROLE
As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on.
Specifically, you can expect to be involved in the following:
- Leading the ML Engineering capability and contributing to the wider data and AI strategy.
- Designing, building, and productionising ML pipelines aligned to business goals.
- Delivering NLP and LLM-driven solutions, including fine-tuning and deployment.
- Implementing strong MLOps practices across model training, deployment, and monitoring.
- Working closely with Data Scientists to support, maintain, and improve models in production.
- Building APIs and data products that enable ML solutions to be consumed across the business.
SKILLS AND EXPERIENCE
The successful Lead ML Engineer will have the following skills and experience:
- Commercial experience delivering ML solutions end-to-end.
- Strong Python and SQL skills, with experience building data and ML pipelines.
- Hands-on experience with Databricks and Azure.
- Practical experience with NLP and LLMs, including fine-tuning and applied use cases.
- Solid understanding of MLOps, CI/CD for ML, and production model monitoring.
- Exeperience with stakeholders and translating business problems into technical solutions.
- Experience building or integrating APIs, such as with FastAPI, is beneficial.
BENEFITS
The successful Lead ML Engineer will receive the following benefits:
- Salary between £80,000 – £90,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Lead ML Engineer – 12 Month FTC
Newcastle upon Tyne
£80000 - £90000
+ Data Science & AI
PermanentNewcastle upon Tyne, Tyne and Wear
To Apply for this Job Click Here
Lead ML Engineer (12-month FTC)
£80,000 – £90,000
Remote (UK Based Only)
This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation.
THE COMPANY
They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms.
THE ROLE
As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on.
Specifically, you can expect to be involved in the following:
- Leading the ML Engineering capability and contributing to the wider data and AI strategy.
- Designing, building, and productionising ML pipelines aligned to business goals.
- Delivering NLP and LLM-driven solutions, including fine-tuning and deployment.
- Implementing strong MLOps practices across model training, deployment, and monitoring.
- Working closely with Data Scientists to support, maintain, and improve models in production.
- Building APIs and data products that enable ML solutions to be consumed across the business.
SKILLS AND EXPERIENCE
The successful Lead ML Engineer will have the following skills and experience:
- Commercial experience delivering ML solutions end-to-end.
- Strong Python and SQL skills, with experience building data and ML pipelines.
- Hands-on experience with Databricks and Azure.
- Practical experience with NLP and LLMs, including fine-tuning and applied use cases.
- Solid understanding of MLOps, CI/CD for ML, and production model monitoring.
- Exeperience with stakeholders and translating business problems into technical solutions.
- Experience building or integrating APIs, such as with FastAPI, is beneficial.
BENEFITS
The successful Lead ML Engineer will receive the following benefits:
- Salary between £80,000 – £90,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Lead ML Engineer – 12 Month FTC
Liverpool
£80000 - £90000
+ Data Science & AI
PermanentLiverpool, Merseyside
To Apply for this Job Click Here
Lead ML Engineer (12-month FTC)
£80,000 – £90,000
Remote (UK Based Only)
This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation.
THE COMPANY
They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms.
THE ROLE
As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on.
Specifically, you can expect to be involved in the following:
- Leading the ML Engineering capability and contributing to the wider data and AI strategy.
- Designing, building, and productionising ML pipelines aligned to business goals.
- Delivering NLP and LLM-driven solutions, including fine-tuning and deployment.
- Implementing strong MLOps practices across model training, deployment, and monitoring.
- Working closely with Data Scientists to support, maintain, and improve models in production.
- Building APIs and data products that enable ML solutions to be consumed across the business.
SKILLS AND EXPERIENCE
The successful Lead ML Engineer will have the following skills and experience:
- Commercial experience delivering ML solutions end-to-end.
- Strong Python and SQL skills, with experience building data and ML pipelines.
- Hands-on experience with Databricks and Azure.
- Practical experience with NLP and LLMs, including fine-tuning and applied use cases.
- Solid understanding of MLOps, CI/CD for ML, and production model monitoring.
- Exeperience with stakeholders and translating business problems into technical solutions.
- Experience building or integrating APIs, such as with FastAPI, is beneficial.
BENEFITS
The successful Lead ML Engineer will receive the following benefits:
- Salary between £80,000 – £90,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Lead ML Engineer – 12 Month FTC
Sheffield
£80000 - £90000
+ Data Science & AI
PermanentSheffield, South Yorkshire
To Apply for this Job Click Here
Lead ML Engineer (12-month FTC)
£80,000 – £90,000
Remote (UK Based Only)
This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation.
THE COMPANY
They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms.
THE ROLE
As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on.
Specifically, you can expect to be involved in the following:
- Leading the ML Engineering capability and contributing to the wider data and AI strategy.
- Designing, building, and productionising ML pipelines aligned to business goals.
- Delivering NLP and LLM-driven solutions, including fine-tuning and deployment.
- Implementing strong MLOps practices across model training, deployment, and monitoring.
- Working closely with Data Scientists to support, maintain, and improve models in production.
- Building APIs and data products that enable ML solutions to be consumed across the business.
SKILLS AND EXPERIENCE
The successful Lead ML Engineer will have the following skills and experience:
- Commercial experience delivering ML solutions end-to-end.
- Strong Python and SQL skills, with experience building data and ML pipelines.
- Hands-on experience with Databricks and Azure.
- Practical experience with NLP and LLMs, including fine-tuning and applied use cases.
- Solid understanding of MLOps, CI/CD for ML, and production model monitoring.
- Exeperience with stakeholders and translating business problems into technical solutions.
- Experience building or integrating APIs, such as with FastAPI, is beneficial.
BENEFITS
The successful Lead ML Engineer will receive the following benefits:
- Salary between £80,000 – £90,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Lead ML Engineer – 12 Month FTC
Manchester
£80000 - £90000
+ Data Science & AI
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Lead ML Engineer (12-month FTC)
£80,000 – £90,000
Remote (UK Based Only)
This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation.
THE COMPANY
They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms.
THE ROLE
As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on.
Specifically, you can expect to be involved in the following:
- Leading the ML Engineering capability and contributing to the wider data and AI strategy.
- Designing, building, and productionising ML pipelines aligned to business goals.
- Delivering NLP and LLM-driven solutions, including fine-tuning and deployment.
- Implementing strong MLOps practices across model training, deployment, and monitoring.
- Working closely with Data Scientists to support, maintain, and improve models in production.
- Building APIs and data products that enable ML solutions to be consumed across the business.
SKILLS AND EXPERIENCE
The successful Lead ML Engineer will have the following skills and experience:
- Commercial experience delivering ML solutions end-to-end.
- Strong Python and SQL skills, with experience building data and ML pipelines.
- Hands-on experience with Databricks and Azure.
- Practical experience with NLP and LLMs, including fine-tuning and applied use cases.
- Solid understanding of MLOps, CI/CD for ML, and production model monitoring.
- Exeperience with stakeholders and translating business problems into technical solutions.
- Experience building or integrating APIs, such as with FastAPI, is beneficial.
BENEFITS
The successful Lead ML Engineer will receive the following benefits:
- Salary between £80,000 – £90,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Lead ML Engineer – 12 Month FTC
Birmingham
£80000 - £90000
+ Data Science & AI
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
Lead ML Engineer (12-month FTC)
£80,000 – £90,000
Remote (UK Based Only)
This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation.
THE COMPANY
They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms.
THE ROLE
As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on.
Specifically, you can expect to be involved in the following:
- Leading the ML Engineering capability and contributing to the wider data and AI strategy.
- Designing, building, and productionising ML pipelines aligned to business goals.
- Delivering NLP and LLM-driven solutions, including fine-tuning and deployment.
- Implementing strong MLOps practices across model training, deployment, and monitoring.
- Working closely with Data Scientists to support, maintain, and improve models in production.
- Building APIs and data products that enable ML solutions to be consumed across the business.
SKILLS AND EXPERIENCE
The successful Lead ML Engineer will have the following skills and experience:
- Commercial experience delivering ML solutions end-to-end.
- Strong Python and SQL skills, with experience building data and ML pipelines.
- Hands-on experience with Databricks and Azure.
- Practical experience with NLP and LLMs, including fine-tuning and applied use cases.
- Solid understanding of MLOps, CI/CD for ML, and production model monitoring.
- Exeperience with stakeholders and translating business problems into technical solutions.
- Experience building or integrating APIs, such as with FastAPI, is beneficial.
BENEFITS
The successful Lead ML Engineer will receive the following benefits:
- Salary between £80,000 – £90,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Databricks Data Engineer
London
£600 - £700
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
Lead Databricks Data Engineer
£600 – £700 per day (inside IR35)
London, hybrid working
This freelance opportunity offers the chance to shape the future-state data platform for a large, complex financial services organisation. The focus is on moving from slow, batch-based analytics towards a more modern, streaming-led architecture, with clear ownership over data vision, use cases, and delivery direction.
The Company
They are a well-established organisation operating at scale within the UK financial services and pensions landscape. Managing significant volumes of legacy and live data, they work with both onshore and offshore delivery partners. The business is at a pivotal point in modernising how data is accessed, governed, and used to drive insight. Clear communication and pragmatic decision-making are highly valued.
The Role and Deliverables
- Define a clear end-to-end data vision, covering current state, target architecture, and practical steps to get there.
- Lead the design and development of a Databricks-based medallion architecture, with a strong focus on a robust Gold layer for analytics.
- Improve data availability by shifting from monthly batch processes towards more frequent or streaming ingestion where appropriate.
- Act as the senior technical decision-maker on data use cases, prioritisation, and trade-offs.
- Work closely with onshore teams and an offshore partner to unblock progress, clarify ownership, and accelerate delivery.
- Provide regular, clear updates to senior stakeholders, ensuring alignment on progress and next steps.
Your Skills & Experience
- Strong experience as a Lead Data Engineer within financial services, ideally pensions or a similarly regulated environment.
- Proven capability designing and delivering modern data platforms using Databricks and medallion architecture principles.
- Experience dealing with large volumes of legacy data and integrating it with modern analytics platforms.
- Confidence defining data use cases and translating business needs into technical delivery.
- Ability to lead mixed teams across onshore and offshore models and make effective resource allocation decisions.
- Excellent communication skills, with the credibility to engage senior stakeholders and drive momentum.
To Apply for this Job Click Here
Commercial Pricing Manager
London
£45000 - £55000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
COMMERCIAL PRICING MANAGER
£45-55,000
LONDON
THE COMPANY
This unique FinTech are growing significantly and have ambitious plans for their next phase. They pride themselves on a fast-paced and dynamic environment where you can really make a difference and the customer comes before profit.
THE ROLE
- Working closely with existing and new aggregators to improve performance and funnel conversion
- Developing pricing strategy and market analysis in order to drive profitability
- Working with large data sets to spot trends, identify opportunities for enhancement and more widely track business performance
- Conducting comprehensive pricing analyses and crafting actionable recommendations based on performance insights.
YOUR SKILLS AND EXPERIENCE:
- Experience developing pricing or commercial strategies within financial services, gambling, insurance or a similar regulated industry
- Prior experience working with aggregators is desirable
- Prior work in analysing data sets and driving insights into commercial outcomes
- Some experience using SQL
SALARY AND BENEFITS
- £45-55,000 base salary depending on experience
- Flexible working model
- Company bonus
- Company pension scheme
- Private medical care
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link or email
To Apply for this Job Click Here
Digital Data Analyst
City of London
£45000 - £48000
+ Advanced Analytics & Marketing Insights
PermanentCity of London, London
To Apply for this Job Click Here
Digital Data Analyst
Up to 48k
London (Hybrid)
This is an opportunity to join a growing digital function where data sits at the heart of trading decisions. You will transform digital trading questions into actionable insights, shaping how performance is measured and optimised across the funnel. This role stands out for its blend of hands on analytics, stakeholder influence, and commercial impact within a modern data environment.
The Company
They are a well established organisation operating within the ecommerce and retail space, with a strong focus on digital growth and customer experience. Data is central to their strategy, and they continue to invest in tools, platforms, and talent to enhance decision making. The business has a collaborative culture where analytics partners closely with commercial and digital teams. They offer a supportive environment that values curiosity, ownership, and continuous improvement.
The Role
You will work at the intersection of digital trading and analytics, ensuring that data is translated into meaningful insights that drive performance.
* Turning digital trading questions into clear analytical frameworks and insight led recommendations
* Analysing funnel performance to optimise conversion, engagement, and customer journeys
* Partnering with stakeholders across trading, marketing, and product to influence decision making
* Using GA4 and GTM to track, measure, and enhance digital performance
* Building dashboards and reports in Power BI to communicate insights effectively
* Developing semantic models and leveraging DAX to support scalable reporting and analytics
* Working closely with engineering teams to brief requirements and ensure accurate data capture
Your Skills and Experience
* Strong commercial experience within digital analytics, ecommerce, or retail environments
* Hands on experience with GA4 and Google Tag Manager
* Advanced Power BI capability, including semantic modelling and DAX
* Ability to translate complex data into clear, actionable insights
* Experience working with stakeholders and influencing decisions across multiple teams
* Understanding of digital performance metrics and funnel optimisation
* Comfortable briefing technical teams and ensuring sound data implementation
What They Offer
* Hybrid working model
* Opportunity to shape digital analytics in a growing team
* Exposure to senior stakeholders and strategic decision making
* Ongoing development within a data driven organisation
How to Apply
If you are interested in this Digital Data Analyst role, please apply with your CV to discuss further.
To Apply for this Job Click Here
Lead Machine Learning Engineer
England
£90000 - £95000
+ Data Science & AI
ContractEngland
To Apply for this Job Click Here
Lead Machine Learning Engineer (FTC with strong chance of going permanent, flexible working hours)
London or UK Remote, £90,000 to £95,000
This is a high impact opportunity to step into a senior, hands on ML Engineering role where you will lead the productionisation of machine learning solutions while shaping how ML is delivered at scale. Offered initially as a fixed term contract, the role is viewed as part of the long term structure with a strong likelihood of becoming permanent. You will also benefit from genuinely flexible working hours and a healthy work life balance.
The Company
They are a large, well established UK organisation with a strong reputation for quality, trust, and a client first mindset. Data and AI are a growing strategic priority, with clear senior sponsorship and increasing investment. The technology function has a strong software engineering culture and is modernising its cloud and data platform to support advanced analytics and AI use cases.
The Role
- Lead the ML Engineering capability, taking ownership of end to end delivery
- Design, build, and productionise scalable ML pipelines aligned to business priorities
- Work closely with Data Scientists to deploy, monitor, and improve models in production
- Own MLOps practices including deployment, monitoring, and model lifecycle management
- Deliver NLP and LLM driven solutions, including fine tuning and integration into live systems
- Contribute as a technical thought leader, setting best practice across ML engineering and data products
- Support cloud migration and platform development within an Azure and Databricks environment
Your Skills & Experience
- Strong commercial experience as an ML Engineer with a software engineering background
- Hands on experience delivering production ML systems end to end
- Strong Python and SQL skills within cloud based environments
- Experience working with Databricks and Azure
- Practical experience with NLP and LLM use cases, including fine tuning
- Good understanding of MLOps, CI/CD, and model monitoring
- Comfortable collaborating with Data Scientists and engaging with non technical stakeholders
What They Offer
- £90,000 to £95,000 base salary
- Fixed term contract with a high chance of conversion to permanent
- Annual bonus and comprehensive benefits package
- 35 hour working week with flexible start and finish times, including the option for a four day working week
- Primarily remote working with occasional office attendance if required
- A supportive, delivery focused environment with long term career progression
How to Apply
If you are a hands on ML Engineer looking to lead, scale, and productionise meaningful machine learning solutions, apply now for a confidential discussion.
To Apply for this Job Click Here
Lead Analyst
London
£75000 - £85000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Commercial Analyst
London – Hybrid 2x a week
Up to £85,000 + bonus
This is a newly created, high impact Commercial Analyst role offering real ownership from day one. You will sit at the heart of a growing, consumer facing business and play a key role in shaping how commercial and marketing decisions are made through data driven insight.
The Company
They are a fast-growing entertainment and ticketing business operating across London and the UK. With a strong focus on direct-to-consumer sales, they work with a broad portfolio of live venues and experiences. Data is already central to the organisation, with established BI capability, but this role represents the first dedicated commercial analyst focused on insight and opportunity identification rather than reporting alone.
The Role
You will work closely with senior commercial leadership in a standalone capacity, owning analysis end to end and influencing strategy across marketing, customer and revenue performance.
Key responsibilities include:
- Delivering hands on commercial and marketing analysis across multiple data sources and channels
- Owning attribution analysis to understand where revenue is generated across digital and offline activity
- Assessing the impact of marketing spend, including complex channels such as direct mail
- Analysing customer behaviour, lifetime value and retention to support growth strategies
- Translating insight into clear, actionable recommendations for non technical stakeholders
- Partnering with BI and engineering teams to improve dashboards and enable more self serve insight across the business
Your Skills and Experience
- Strong commercial analytics experience with a focus on insight rather than pure reporting
- Advanced SQL skills and experience working with Power BI
- Solid understanding of marketing attribution and customer analytics
- Confidence working across multiple datasets and ambiguous problem spaces
- Ability to clearly communicate findings and influence senior stakeholders
- A proactive, opportunity led mindset with strong business acumen
What They Offer
- Hybrid working with two days per week in a central London office
- The chance to shape a brand new role with clear visibility and impact
How to Apply
Apply now to find out more about this unique commercial analytics opportunity.
To Apply for this Job Click Here
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