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Lead Data Engineer

Up to £85,000

Holborn, London (4 days a week in office)

This is an opportunity to take ownership of a Data Engineering function at a high-growth AI-driven SaaS business. Working directly with senior technology leadership, you will combine hands-on engineering with team leadership, helping to shape the technical direction, standards and future growth of the function.

THE COMPANY

They are a rapidly scaling SaaS organisation that helps businesses unlock greater value from their data through advanced analytics and AI-powered products. Their technology supports enterprise clients across a range of sectors, delivering actionable insights that improve decision-making and commercial performance.

THE ROLE

As a Lead Data Engineer, you will be responsible for leading Data Engineering whilst remaining heavily involved in technical delivery.

Specifically, you can expect to be involved in the following:

• Building and developing the Data Engineering function, including processes, standards and best practices
• Leading, mentoring and managing a team of Data Engineers
• Designing and delivering scalable ETL and ELT pipelines across cloud environments
• Owning data modelling, architecture and platform design decisions
• Collaborating with Product, Data Science, Platform and Client Success teams
• Driving improvements across CI/CD, DevOps and engineering workflows
• Working with clients and stakeholders to understand data challenges and deliver value-driven solutions

SKILLS AND EXPERIENCE

The successful Lead Data Engineer will have the following skills and experience:

• Previous experience leading or managing a Data Engineering team
• Strong commercial experience with SQL and Python
• Expertise in building scalable ETL and ELT pipelines
• Strong understanding of data modelling and modern data architecture principles
• Experience working with cloud platforms such as Azure, AWS or GCP
• Knowledge of Databricks, Azure Data Factory, Microsoft Fabric or similar modern data platforms
• Experience with Git, CI/CD and DevOps best practices
• Strong communication skills with the ability to engage technical and non-technical stakeholders
• Experience in consulting, client-facing or project-led environments would be advantageous

BENEFITS

The successful Lead Data Engineer will receive the following benefits:

• Salary up to £85,000 – 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

To Apply for this Job Click Here

Azure Cloud Engineer

£40,000 – £50,000

Abingdon, Oxfordshire (1 day a week in office)

Looking to take ownership of real Azure infrastructure while broadening your exposure to cloud architecture, AI initiatives, and large-scale transformation projects? This is an opportunity to join a growing cloud team where you’ll have a direct impact on both internal platforms and client-facing technology programmes.

THE COMPANY

This consultancy-led organisation delivers technology, cloud, and transformation solutions across a diverse portfolio of public and private sector clients. They are continuing to invest heavily in cloud and AI capabilities and are growing their internal cloud function to support increasing demand. Operating within a fully cloud-native Microsoft Azure environment, the team is responsible for all cloud infrastructure, security, governance, and platform services across the business. You’ll join a collaborative technology team where innovation, practical problem-solving, and continuous improvement are highly valued.

THE ROLE

As an Azure Cloud Engineer, you will support the design, delivery, and ongoing management of cloud infrastructure while working closely with consultants and programme teams across the business.

Specifically, you can expect to be involved in the following:

• Building, supporting, and optimising Microsoft Azure environments
• Managing cloud resources including Virtual Machines, SQL Servers, Web Apps, and containerised applications
• Supporting Azure DevOps and GitHub-based development and deployment processes
• Creating and maintaining CI/CD pipelines
• Assisting with cloud architecture and infrastructure design discussions
• Advising stakeholders on cloud hosting approaches and infrastructure best practices
• Supporting cloud cost optimisation and operational efficiency across the estate

SKILLS AND EXPERIENCE

The successful Azure Cloud Engineer will have the following skills and experience:

• Commercial experience working within Microsoft Azure environments
• Experience deploying and supporting cloud infrastructure end-to-end
• Knowledge of Azure services including compute, networking, storage, and identity management
• Experience with Azure DevOps and/or GitHub
• Experience building and supporting CI/CD pipelines
• Understanding of cloud security, governance, and compliance principles
• Strong stakeholder communication skills and the ability to work with both technical and non-technical teams

BENEFITS

The successful Azure Cloud Engineer will receive the following benefits:

• Salary between £40,000 – £50,000 – 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

To Apply for this Job Click Here

Software Engineer – Treasury

Up to £200,000

London (4-5 days a week in office)

If you are looking for a software engineering role that combines technical ownership, business impact, and exposure to front, middle, and operational functions within a sophisticated investment environment, this opportunity offers a rare chance to build and own critical systems that support a global financial organisation. You will work closely with business stakeholders, solve complex problems, and see the direct impact of your work across the organisation.

THE COMPANY

They are a globally operating investment firm with a strong engineering culture and a significant focus on technology, automation, and innovation. Technology teams are embedded within the business and play an essential role in driving operational efficiency and supporting key investment functions.

Their Enterprise Engineering team develops and maintains business critical platforms spanning treasury, fund accounting, compliance, and middle office operations. Engineers are trusted with genuine ownership and are encouraged to contribute ideas, challenge processes, and deliver meaningful improvements.

THE ROLE

As a Software Engineer you will join a high-performing engineering team building mission-critical software that powers core operations across a leading investment firm.

Specifically, you can expect to be involved in the following:

• Design, build, and maintain production software used across treasury, fund accounting, compliance, and middle office functions
• Take ownership of systems and applications from development through to deployment and ongoing enhancement
• Collaborate closely with business stakeholders to understand requirements and deliver practical solutions
• Work across a mix of modern Python services and established object-oriented codebases
• Contribute to architectural discussions and system design decisions
• Partner with teams across technology and operations to solve complex business challenges

SKILLS AND EXPERIENCE

The successful Software Engineer will have the following skills and experience:

• Strong commercial software engineering experience with Python in a production environment
• Experience with at least one object-oriented programming language such as Java, C#, or C++
• Strong SQL skills and experience working with relational databases
• Background within buy-side financial services, hedge funds, asset management, or prime brokerage environments
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
• Knowledge of treasury, fund accounting, middle office, financing, stock loan, or related operational functions is highly desirable

BENEFITS

The successful Software Engineer will receive the following benefits:

• Salary up to £200,000 – 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

To Apply for this Job Click Here

Digital Analyst – 12-Month FTC

Greater Manchester (Hybrid – 2x Days a Week in Office)

£45,000-£55,000

The Company

A leading UK financial services and wellbeing business is looking for a Digital Analyst to join its Marketing & Digital Analytics function on a 12-month fixed-term contract. The business has a broad digital estate spanning its website, online quote and buy journeys, digital tools, web forms and logged-in customer platforms. The Digital Analytics team works closely with product, marketing and acquisition teams to understand digital behaviour and identify opportunities to improve customer journeys and conversion. This is a 12-month FTC role, with the potential for the successful candidate to move into a permanent opportunity if they perform well during the contract.

The Role

This is a hands-on Digital Analyst position with a strong focus on GA4, GTM and digital analytics. You will support product teams across a variety of functions, as well as marketing, acquisition and CRO teams. You’ll use digital data to identify opportunities, make recommendations and help improve digital experiences and conversion. This is not a pure GTM implementation role; they are looking for a well-rounded Digital Analyst who is comfortable with both tracking and analysis.

You will:

• Analyse website and app data to identify customer and commercial opportunities.
• Support product teams with insight that feeds into development roadmaps and optimisation programmes.
• Work with marketing and acquisition teams to understand digital performance.
• Support the CRO team with analytics and make recommendations to improve conversion.
• Identify opportunities for testing and experimentation.
• Manage and maintain tracking through Google Tag Manager.
• Work with data layers, tags, triggers and custom variables.
• Support Google Analytics 4 and wider digital measurement.
• Identify and troubleshoot tagging and data quality issues.
• Present insights and recommendations to stakeholders across the business.
• Work across multiple datasets and projects, prioritising work according to business requirements.

Your Skills & Experience

• Strong hands-on Google Analytics 4 experience.
• Good experience with Google Tag Manager, including tags, triggers, custom variables and data layers.
• Proven experience in digital / web analytics.
• Ability to turn digital behaviour into clear, actionable recommendations.
• Strong stakeholder management and communication skills.
• Experience working with product, marketing, acquisition or CRO teams.
• Good understanding of conversion optimisation and digital customer journeys.
• Looker Studio experience would be beneficial.
• Power BI is also relevant.
• SQL / BigQuery is a nice-to-have rather than essential.
• Experience with app analytics or digital product analytics would be advantageous.
• Experience with Mixpanel would be useful.
• Adobe Analytics experience could also be relevant.

The Benefits

• £45,000-£55,000

How to Apply

If you’re an experienced Digital Analyst with strong GA4 and GTM skills and are looking for a role where you can work across product, marketing, acquisition and CRO, please apply now

To Apply for this Job Click Here

To Apply for this Job Click Here

This is an opportunity to take ownership of loyalty analytics within a well-established consumer brand. You’ll play a role in shaping how the business understands, grows and optimises its loyalty programme, using data to drive customer retention, increase lifetime value, and enhance omnichannel engagement.

The Company
They are a leading consumer-focused organisation with a significant customer base across both digital and physical channels. Customer loyalty sits at the heart of their growth strategy, with continued investment in analytics, personalisation and customer insight. The business is focused on building stronger long-term customer relationships and creating more value from its loyalty programme.

The Role
As a Marketing Analytics Manager, you will be responsible for developing the analytical framework that underpins the loyalty programme and customer strategy. Key responsibilities include:

• Driving insights into loyalty programme performance, customer retention and lifetime value.
• Understanding how loyalty members behave across online and offline channels to improve omnichannel engagement.
• Developing customer segmentation strategies to identify high-value audiences and support targeted marketing activity.
• Measuring the effectiveness of loyalty initiatives, promotions, rewards and personalised campaigns.
• Designing testing frameworks to assess the impact of customer engagement and retention activity.
• Building and improving reporting and dashboard capabilities to provide visibility of programme performance.
• Partnering closely with Marketing, CRM, Product and Data teams to turn analysis into commercial action.
• Providing strategic recommendations on how the loyalty programme can grow membership, increase engagement and drive customer value.

Your Skills & Experience

• Experience within marketing analytics, CRM analytics, customer analytics or loyalty analytics.
• Deep understanding of loyalty programme metrics including retention, customer lifetime value (LTV/CLV), frequency and customer engagement.
• Experience developing customer segmentation frameworks and behavioural profiling.
• Background in campaign measurement, experimentation and incremental impact analysis.
• Advanced SQL skills and experience working with large customer datasets.
• Experience building stakeholder-facing reporting and dashboards using BI tools.
• Ability to translate complex analysis into clear commercial recommendations.

What They Offer

• Competitive salary and bonus potential.
• Hybrid working environment.
• Opportunity to own and shape a high-profile loyalty analytics function.
• Exposure to senior stakeholders and strategic customer decisions.
• Strong career development opportunities within a growing analytics team.

How to Apply
Apply now to learn more about this opportunity to lead loyalty analytics and influence customer strategy within a data-driven organisation.

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DATA SCIENTIST, DECISION SCIENCES

London OR Cossington (Hybrid)

THE COMPANY
A data-driven consumer business with a large and engaged customer base is seeking a Data Scientist to join their Decision Sciences team. They are investing heavily in advanced analytics and machine learning, with data playing a central role in strategic decision-making across the organisation. You’ll work in a collaborative environment alongside analytics, marketing, and commercial stakeholders, delivering solutions that have a tangible impact on customer outcomes.

THE ROLE

• Build and develop machine learning models focused on customer retention, churn prediction, and customer lifetime value
• Evaluate and improve existing modelling pipelines to increase accuracy and commercial impact
• Partner with CRM and marketing teams to translate model outputs into actionable retention strategies
• Develop forecasting and marketing effectiveness models to support business planning and decision-making
• Design, analyse, and interpret A/B tests and experimentation frameworks
• Deliver insight through deep-dive analysis, dashboards, and clear communication to stakeholders

YOUR SKILLS & EXPERIENCE

• Strong commercial experience as a Data Scientist within marketing, ecommerce, customer, loyalty, or membership environments
• Advanced Python and SQL skills, with experience working in modern data environments
• Strong understanding of statistical modelling, experimentation, and causal inference
• Experience building and deploying predictive machine learning models
• Ability to communicate technical findings to non-technical audiences
• Experience working closely with CRM or lifecycle marketing teams is advantageous

WHAT THEY OFFER

• Competitive salary plus bonus
• Hybrid working and flexible hours
• Private healthcare and enhanced pension package
• Additional annual leave and wellbeing benefits
• Ongoing learning and development opportunities
• Clear career progression within a growing data team

HOW TO APPLY
To find out more about this Data Scientist, Decision Sciences opportunity, please submit your CV for consideration.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Machine Learning Scientist

London (Remote)

The Company
They are an innovative technology business leveraging advanced machine learning, natural language processing, and Generative AI to help organisations extract meaningful insights from large volumes of unstructured data. Their environment combines research, experimentation, and product development, giving technical teams the opportunity to work on real-world AI challenges while delivering measurable business impact.

The Role

• Train, evaluate and optimise machine learning models and agentic AI systems, owning experimentation from end to end.
• Build and enhance LLM-powered solutions including retrieval pipelines, reranking systems, intelligent agents and automated taxonomy generation.
• Design robust evaluation frameworks, define metrics and benchmark model performance across a range of NLP applications.
• Improve semantic search and retrieval capabilities using advanced machine learning and information retrieval techniques.
• Partner with engineering teams to deploy and monitor production-ready machine learning solutions.
• Collaborate with product and business stakeholders to deliver impactful AI solutions while mentoring colleagues and promoting technical best practice.

Your Skills & Experience

• Strong commercial experience with transformer architectures and modern NLP techniques.
• Advanced Python and PyTorch skills, including custom model training and optimisation.
• Experience fine-tuning, evaluating and deploying large language models.
• Experience working with large-scale text datasets and real-world machine learning problems.
• Solid grounding in statistics and classical machine learning.
• Hands-on experience developing Generative AI and agentic AI solutions.
• Excellent communication skills with the ability to engage technical and non-technical stakeholders.

What They Offer

• Competitive salary and benefits package.
• Hybrid working model.
• Opportunity to work on cutting-edge AI and machine learning products.
• Strong career progression within a growing Data Science and AI function.
• Collaborative, research-driven culture with exposure to the latest advancements in machine learning.

How to Apply
To find out more about this Senior Machine Learning Scientist opportunity, please submit your application today.

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Data Scientist

Knowsley – 3 days a week

The Company
They are a well established UK retail business undergoing a broader data and AI transformation. The organisation is investing in building a modern Data Science capability to support decision making across commercial and customer functions. Their culture is practical, collaborative and delivery focused, with an emphasis on creating value quickly rather than over engineering solutions. Data is increasingly central to their strategy, particularly with the launch of a new customer loyalty programme.

The Role
You will work closely with the Data Science Lead and a small but growing team to develop and productionise machine learning solutions.

• Build and deploy models that support customer and commercial decision making
• Work on use cases such as customer segmentation, lifetime value modelling and demand forecasting
• Contribute to the development of a scalable Data Science platform
• Collaborate with data engineers, analysts and business stakeholders
• Translate business problems into data science solutions and clearly communicate outputs
• Support the expansion of existing models into broader production use

Your Skills and Experience

• Strong commercial experience in Data Science using Python
• Solid SQL skills and experience working with large datasets
• End to end experience delivering Data Science solutions from problem definition through to deployment
• Experience building and validating machine learning models
• Ability to communicate insights clearly to non technical audiences
• A practical, business focused approach to problem solving

What They Offer

• Hybrid working with three days per week in Knowsley
• Opportunity to shape and influence a growing Data Science function
• Exposure to end to end project work with real business impact
• A collaborative environment focused on learning and delivery

How to Apply
Apply now to learn more about this Data Scientist opportunity and the impact you can make within a growing data driven environment.

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