DATA & AI RECRUITMENT SCOTLAND

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Product Data Scientist

Hybrid – Sheffield (1x day per week)

£50,000 – £60,000

Are you a commercially minded Product Data Scientist who enjoys turning complex data into actionable insights? This is an opportunity to join a growing technology-led organisation where data plays a central role in shaping product strategy, improving customer outcomes, and driving business growth. You’ll have the chance to work across analytics, machine learning, customer journey analysis, and stakeholder engagement while influencing key business decisions.

The Company

They are a fast-growing, data-driven organisation that leverages technology to deliver impactful solutions to its customers. With a strong focus on innovation and continuous improvement, they are investing heavily in their data capabilities to support future growth. Their collaborative environment brings together product, commercial, operational, and technical teams to make better decisions through data. As they continue to scale, they are looking for a Product Data Scientist to help unlock deeper insights and create measurable business value.

The Role

You will:

• Analyse customer and user journeys to identify trends, opportunities, and areas for optimisation.
• Perform exploratory data analysis to understand product usage, engagement, and conversion behaviour.
• Develop predictive models, including churn prediction, engagement scoring, demand forecasting, and propensity modelling.
• Build customer segments and behavioural cohorts to support product, marketing, and customer success initiatives.
• Translate business questions into structured analytical approaches and actionable recommendations.
• Partner closely with engineering and data teams to define metrics and improve data models.
• Design and maintain dashboards, reports, and KPI frameworks for business stakeholders.
• Communicate complex analytical findings clearly to both technical and non-technical audiences.
• Support the adoption of data-driven decision making across the organisation

Your Skills & Experience

• Strong commercial experience as a Data Scientist, Product Data Scientist, Product Analyst, or similar analytics professional.
• Advanced SQL skills and experience working with cloud-based data warehouse environments.
• Strong Python or R capabilities for data analysis, statistical modelling, and machine learning.
• Experience building predictive models and applying analytical techniques to solve business problems.
• Understanding of customer journey analysis, funnel optimisation, retention analysis, and customer lifetime value metrics.
• Experience creating dashboards and visualisations using tools such as Power BI, Tableau, Looker, or similar.
• Ability to engage with stakeholders, gather requirements, and translate business needs into analytical solutions.
• Experience working with modern data platforms and analytics engineering environments is beneficial.

What They Offer

• Salary of £50,000 – £60,000.
• Hybrid working arrangement based in Sheffield.
• Opportunity to influence product and business strategy through data.
• Exposure to modern technologies including Snowflake, dbt, Python, and leading BI tools.
• A collaborative environment with strong cross-functional partnership.
• Clear opportunities for professional development and career progression as the data function continues to grow.

How to Apply

Register your interest today to learn more about this Product Data Scientist opportunity in Sheffield and discuss how your experience aligns with the role.

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Lead AI Engineer

£95,000 – £115,000

King’s Cross, London (1-2 days a week in office)

This is an opportunity to lead the design, architecture, and delivery of production-grade AI systems that create measurable business impact. You will work on high-value initiatives, building scalable AI solutions that are embedded directly into core business processes rather than standalone prototypes.

THE COMPANY

They are a well-established organisation investing heavily in AI innovation to transform business operations and deliver long-term value. Their focus is on deploying practical, scalable AI solutions that support real workflows and business outcomes. You will join a technology-driven environment where engineering excellence, collaboration, and innovation are highly valued.

THE ROLE

As a Lead AI Engineer, you will

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

• Own the technical direction, architecture, and implementation of AI systems end-to-end.
• Design and build LLM-powered and agent-based solutions from concept through to production.
• Establish engineering standards, reusable patterns, and scalable frameworks across AI initiatives.
• Make key decisions on models, tooling, infrastructure, and system design.
• Ensure AI systems are robust, observable, secure, and production-ready through effective evaluation, monitoring, and guardrails.
• Provide technical leadership and guidance to engineers working on AI projects.

SKILLS AND EXPERIENCE

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

• Strong commercial experience delivering production-grade AI systems from design through deployment.
• Deep expertise in Generative AI, Large Language Models (LLMs), orchestration, prompting, and evaluation.
• Experience building agentic or multi-step AI systems.
• Excellent software engineering fundamentals across APIs, system design, and cloud-based architecture.
• Ability to define technical direction and operate effectively in complex or evolving environments.
• Experience influencing engineering standards and best practices across multiple projects.
• Exposure to AI platforms, reusable frameworks, LLMOps/MLOps, or enterprise AI environments would be beneficial.

BENEFITS

The successful Lead AI Engineer will receive the following benefits:

• Salary between £95,000 – £115,000 – 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

Senior AI Engineer

£75,000 – £95,000

King’s Cross, London (1-2 days a week in office)

This is an exciting opportunity for a Senior AI Engineer to play a key role in shaping how AI is embedded across a business. Rather than building standalone proofs of concept, you will develop production-grade AI solutions that directly support core business processes, delivering measurable value at scale.

THE COMPANY

They are a well-established organisation investing heavily in AI and advanced technology. With a focus on innovation, they are building scalable solutions that enhance operational efficiency and customer outcomes. Their environment combines strong engineering practices with the opportunity to work on high-impact AI initiatives. You will join a collaborative team where technical expertise and continuous improvement are highly valued.

THE ROLE

As a Senior AI Engineer, you will design and deliver production-ready AI solutions using LLMs and agentic systems, embedding AI into core business processes to drive measurable impact.

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

• Design and implement end-to-end AI systems that deliver business impact.
• Build and deploy LLM-powered and agent-based solutions from concept through to production.
• Contribute to technical architecture and engineering best practices.
• Develop reusable components, frameworks, and patterns across multiple AI use cases.
• Make informed decisions on models, tooling, infrastructure, and system design.
• Ensure AI solutions are scalable, observable, secure, and production-ready.
• Support evaluation, monitoring, and governance processes for deployed AI systems.
• Provide technical guidance and mentorship to engineers contributing to AI projects.

SKILLS AND EXPERIENCE

The successful Senior AI Engineer will have the following skills and experience:

• Strong commercial experience delivering production-grade AI systems.
• Expertise in generative AI, large language models, prompting, orchestration, and evaluation.
• Experience designing and implementing complex AI solutions across multiple domains.
• Knowledge of agentic AI systems and multi-step workflows.
• Strong software engineering fundamentals, including APIs, system design, and cloud-native architectures.
• Ability to solve problems in evolving and ambiguous environments.
• Experience influencing engineering standards and contributing to technical excellence.
• Exposure to AI platforms, reusable frameworks, LLMOps, or MLOps is advantageous.
• Experience working within enterprise or regulated environments would be beneficial.

BENEFITS

The successful Senior AI Engineer will receive the following benefits:

• Salary between £75,000 – £95,000 – 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

Data Scientist
Join a growing Data Science team within an insurance business where you’ll tackle complex pricing challenges, build production-ready machine learning models, and work on projects that directly influence commercial outcomes. This is a great opportunity for someone who enjoys solving business problems as much as building models.

The Role
You will:

• Build, validate and deploy machine learning and statistical models
• Work with Python, SQL, Databricks and PySpark to analyse large datasets
• Solve pricing and risk-related business challenges
• Explore new data sources and test innovative ideas
• Own projects from problem definition through to implementation
• Present insights to technical and non-technical stakeholders
• Support and mentor junior Data Scientists

Your Skills & Experience

• Strong commercial Data Science experience
• Advanced Python and SQL skills
• Experience with Databricks and/or PySpark
• Knowledge of machine learning techniques such as XGBoost and LightGBM
• Strong statistical modelling capability
• Excellent problem-solving and stakeholder management skills
• Experience in insurance, financial services, or another regulated environment is advantageous

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead AI Engineer
London (Hybrid) | Up to £110,000 + 15% Bonus + Excellent Benefits
This is an opportunity to join a business investing heavily in AI and automation, where you will play a key role in shaping and delivering production-grade Generative AI solutions at scale. Working across high-impact initiatives, you will have the autonomy to influence technical strategy, own solution delivery, and drive measurable business outcomes.

The Company
They are a well-established, technology-driven organisation undergoing significant AI transformation. With strong executive sponsorship and a growing pipeline of AI initiatives, they are embedding AI into critical business processes to improve customer experience, operational efficiency, and decision-making.
You will join a newly established AI function within a wider engineering and MLOps environment, working alongside experienced engineers to deliver innovative, enterprise-scale AI products. The team operates in a fast-paced, collaborative setting where technical expertise and commercial impact are highly valued.

The Role
As a Lead AI Engineer, you will take ownership of the design, architecture, and delivery of AI solutions from concept through to production.
Responsibilities include:
* Leading the end-to-end delivery of Generative AI and agentic AI solutions
* Designing and building LLM-powered applications and intelligent automation tools
* Making key architecture, tooling, and platform decisions across multiple initiatives
* Evaluating build versus buy approaches and recommending scalable solutions
* Establishing engineering standards, reusable frameworks, and best practices
* Ensuring AI systems are production-ready through monitoring, evaluation, governance, and observability
* Working closely with engineering, security, data protection, and business stakeholders
* Providing technical leadership and mentoring across AI workstreams
* Driving AI initiatives that deliver measurable operational and commercial value

Your Skills & Experience
You will demonstrate strong commercial experience in:
* Delivering Generative AI solutions into production environments
* Leading AI projects end-to-end, from discovery through deployment
* Designing scalable AI architectures within enterprise environments
* Building LLM-powered applications, RAG solutions, and agent-based systems
* Software engineering fundamentals, including APIs, distributed systems, and cloud platforms
* Technical decision-making in fast-moving or ambiguous problem spaces
* Working within governance, security, and compliance frameworks
* Influencing stakeholders and communicating complex technical concepts clearly
Desirable experience includes:
* AWS cloud technologies
* MLOps or LLMOps practices
* Financial services or other regulated industries
* Building reusable AI platforms, frameworks, or internal products

What They Offer
* Salary up to £110,000
* 15% annual bonus
* Hybrid working with flexibility and a strong focus on outcomes
* Generous pension contribution
* Private medical cover
* Enhanced parental leave policies
* Holiday purchase scheme
* The opportunity to influence AI strategy across a growing function
* Exposure to a broad range of cutting-edge Generative AI use cases
* High visibility and genuine ownership of business-critical AI initiatives

How to Apply
If you are an experienced Lead AI Engineer with a proven track record of delivering production-grade Generative AI solutions, apply today to discuss this opportunity in more detail.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead AI Engineer
This is an opportunity to join a growing AI function at a business investing heavily in artificial intelligence, automation, and digital transformation. You will play a key role in shaping technical direction, delivering production-grade AI solutions, and influencing how AI is embedded across a large, commercially focused organisation.

The Role
You will take ownership of AI initiatives from concept through to production, helping design and deliver solutions that solve real business challenges.
Responsibilities include:

• Leading the design and delivery of production-grade Generative AI and AI-powered solutions
• Owning architecture decisions across AI products and platforms
• Building and deploying LLM, RAG, and agentic AI systems at enterprise scale
• Evaluating build versus buy approaches and making pragmatic technology recommendations
• Working closely with engineering, security, governance, and business stakeholders
• Driving technical standards, best practices, and reusable AI frameworks
• Supporting and mentoring engineers across multiple workstreams
• Contributing to AI strategy and helping prioritise high-value use cases
• Ensuring solutions are scalable, secure, observable, and production-ready

Your Skills & Experience
You will bring:

• Strong commercial experience delivering Generative AI solutions into production
• Proven capability leading end-to-end AI projects from discovery through deployment
• Deep understanding of LLMs, RAG architectures, agentic AI, orchestration, prompting, and evaluation
• Strong software engineering foundations, including APIs, cloud architectures, and system design
• Experience making architecture and technology decisions within complex environments
• Ability to operate effectively in ambiguous and rapidly evolving problem spaces
• Experience collaborating with security, governance, compliance, and data protection teams
• Strong communication skills with the ability to engage technical and non-technical stakeholders
• Experience within enterprise-scale organisations, ideally in regulated environments
• Exposure to AWS and modern AI engineering practices is highly desirable

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