The Data And AI Podcast

To Apply for this Job Click Here

HEAD OF ANALYTICS
£110,000-£160,000 + BONUS + BENEFITS
LONDON (HYBRID)

THE COMPANY

This is a fantastic opportunity within a well-backed financial services business undergoing a major transformation across analytics, decisioning, and AI. The company is investing heavily in modern data infrastructure and advanced analytics to drive better customer and commercial outcomes, with strong C-suite backing and clear growth plans.

THE ROLE

As Head of Analytics Shared Services, you will lead a centralised Analytics & MI function operating across the business. This is a highly visible role combining strategy and hands-on delivery, with a strong focus on driving insight, embedding AI, and improving decision-making.

Key responsibilities include:

• Leading and developing a central analytics function, including managers and analysts
• Driving the shift from reporting to actionable, insight-led analytics
• Embedding AI tools into workflows to improve efficiency and impact
• Overseeing development of scalable datasets and automated reporting
• Leading migration and governance of a new decision engine
• Managing stakeholder demands across marketing, finance, and leadership
• Acting as a senior influencer across the organisation

YOUR SKILLS AND EXPERIENCE

• Proven experience leading Analytics or MI teams in complex environments
• Strong track record of delivering actionable commercial insight
• Experience influencing senior stakeholders, including C-suite
• Hands-on technical skills (SQL essential, Python preferred)
• Experience with modern data stacks (e.g. Snowflake, Power BI)
• Strong understanding of AI tools and their commercial application
• Ability to drive change, improve processes, and deliver at pace

BENEFITS

The successful candidate will receive a salary between £110,000 and £160,000, plus bonus and a strong benefits package. This is a unique opportunity to shape an AI-enabled analytics function and play a key role in business transformation with high visibility across senior leadership.

HOW TO APPLY

Please register your interest by sending your CV to Dylan Butcher via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist
London or Leicester, hybrid working, £60,000 to £75,000 plus bonus

If you enjoy solving complex, open ended problems and want your models to directly influence real world decisions, this role stands out. You will work in a highly analytical environment where data science is central to pricing strategy, with the freedom to experiment, challenge assumptions, and build genuinely innovative solutions.

The Company

They are a large, digitally focused organisation operating in a consumer market rich with data and complexity. Analytics and data science sit at the heart of how the business assesses risk, prices products, and drives sustainable growth. Significant ongoing investment in technology and cloud infrastructure means data teams are well supported to innovate and deliver impact at scale.

The Role

• Build and improve predictive models that shape pricing and customer selection strategies.
• Work with large, messy datasets to uncover insight and improve commercial outcomes.
• Develop and iterate on advanced machine learning models, including gradient boosting approaches.
• Explore alternative and novel data sources, including geospatial style data, to enhance pricing accuracy.
• Take ownership of models from early exploration through to deployment and iteration.
• Collaborate closely with stakeholders across pricing, analytics, and engineering.
• Support and mentor junior colleagues, contributing to a strong team culture.

Your Skills & Experience

• Strong commercial experience in data science or applied machine learning.
• Demonstrable experience building predictive models used in pricing, risk, or customer decisioning.
• Confidence working end to end across the modelling lifecycle, from problem definition to deployment.
• Strong Python and SQL skills, with experience working in cloud based environments.
• Ability to communicate modelling approaches and results clearly to non technical stakeholders.
• A curious mindset with an interest in improving pricing accuracy through data and innovation.

What They Offer

• Salary between £60,000 and £75,000.
• Additional cash bonus on top of base salary.
• Hybrid working with one day per week in the office.
• Exposure to highly visible, business critical modelling work.
• Strong progression and development opportunities within an established data science function.

How to Apply
Apply now to explore how this Senior Data Scientist role could be the next step in your career.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead AI Engineer
London hybrid, £80,000 to £85,000 base plus bonus and benefits

This is a role for someone who wants real ownership and influence. You will join a growing internal AI function at a point where direction, structure, and best practice genuinely matter. If you enjoy being hands-on while shaping how AI is used across a business, this role offers the space to make a visible impact.

The Company

They are a well-established organisation operating at scale across the UK, working with both public sector and commercial partners. Technology sits at the centre of their strategy, with a clear focus on using data and AI to improve how teams work internally. Their AI capability is evolving, with senior backing and a clear appetite to move from experimentation to mature, production-ready solutions.

The Role

You will be a senior technical voice within an AI enablement team, working closely with a Head of AI and a Product Owner to turn business needs into practical AI products.

• Design, build, and deploy internal AI-powered applications used across the organisation
• Lead development of conversational AI and automation tools that support complex business processes
• Define and evolve the LLM architecture and tooling, building on existing OpenAI usage
• Translate loosely defined problems into clear, scalable technical solutions
• Partner with product and business stakeholders to prioritise high-impact use cases
• Set engineering standards, guide best practice, and support the development of other engineers
• Own solutions end to end, from design through to deployment, monitoring, and iteration

Your Skills & Experience

• Strong commercial experience as a software engineer, with software engineering fundamentals at the core of your background
• Advanced Python development skills and experience building backend services and APIs
• Proven experience integrating AI or LLM-based services into production systems
• Cloud-native development experience, ideally within Azure environments
• Solid understanding of system design, CI/CD pipelines, DevOps practices, and production reliability
• Confidence influencing technical direction and bringing structure to less mature environments
• A practical mindset focused on building robust software that delivers real business impact

What They Offer

• Salary between £80,000 and £85,000 plus a performance-related bonus
• Employer pension contribution up to 8 percent
• Hybrid working model with regular collaboration in the London office
• A comprehensive benefits package including healthcare support and enhanced family policies
• The opportunity to shape and mature an internal AI function with long-term impact

How to Apply
If you are looking for Lead AI Engineer role where you can combine hands-on delivery with real influence, apply with your CV to learn more about this opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Data Scientist

$175,000- $200,000

Pittsburgh, PA (Onsite)

THE ORGANISATION

A discreet, high‑growth technology group is expanding its advanced analytics and AI leadership capabilities. The organisation operates in a deeply complex environment where modelling, optimisation, and intelligent decision systems play a central role. They are investing heavily in next‑generation platforms that blend predictive modelling, simulation, and large‑scale automation to influence critical strategic choices.

THE ROLE

This is a senior technical and leadership role responsible for architecting sophisticated simulation, optimisation, and decision‑intelligence systems. You will guide the vision, design, and delivery of large‑scale AI solutions, combining hands‑on expertise with strategic leadership.

Your remit spans the development of system‑level simulations, optimisation engines, and complex modelling frameworks that support high‑impact decision workflows. You will define long‑range technical direction, lead major AI initiatives end‑to‑end, and mentor a highly skilled team of Data Scientists and AI Engineers.

This is a position for someone who thrives in ambiguity, enjoys solving multi‑variable, system‑level challenges, and brings strong conceptual and practical knowledge of advanced modelling.

KEY RESPONSIBILITIES

• Lead the architecture, design, and deployment of advanced simulation and optimisation platforms
• Build multi‑modal modelling systems incorporating predictive analytics, stochastic simulation, and strategic optimisation workflows
• Define the long‑term technical roadmap for modelling and decision‑intelligence initiatives
• Oversee large‑scale AI projects from initial scoping through to production launch
• Act as the senior technical authority on simulation, optimisation, and model strategy
• Develop scalable frameworks that support complex capability modelling and scenario analysis
• Lead the development of platform components that integrate simulation, optimisation, predictive modelling, and decision logic
• Mentor senior technical team members, raising the standard across modelling, experimentation, and delivery
• Establish modelling best practices, evaluation standards, and robust experimentation workflows
• Partner with cross‑functional teams to convert abstract, open‑ended challenges into concrete technical solutions
• Bring emerging research and methodologies (simulation techniques, optimisation methods, advanced model reasoning, etc.) into production systems
• Communicate modelling strategy, risk, and value clearly to both technical and non‑technical stakeholders

WHAT YOU BRING

• 7+ years of applied Data Science or similar experience in complex modelling domains
• Deep experience with simulation methodologies (e.g. discrete‑event, agent‑based, Monte‑Carlo, or similar approaches)
• Strong understanding of stochastic optimisation, Bayesian optimisation, and advanced mathematical modelling techniques
• Ability to design, evaluate, and scale large‑scale modelling systems and optimisation pipelines
• Strong Python engineering foundations and experience delivering production‑ready AI/ML systems
• Experience leading full lifecycle AI/DS projects, from ideation to deployment
• Proven track record of working with large datasets, complex modelling environments, and multi‑component systems
• Ability to mentor senior‑level technical staff and influence high‑level decision‑making
• Comfortable operating in a high‑autonomy, high‑ownership environment

DESIRABLE EXPERIENCE

• Experience with causal modelling, decision science, or structural modelling frameworks
• Experience with complex system evaluation, simulation benchmarking, or modelling validation
• Background in scaling AI/ML or optimisation systems across cloud environments
• Experience converting experimental prototypes into robust, enterprise‑ready solutions
• Strong publication or research contributions in modelling, optimisation, or related fields

THE OFFER

• Competitive Base Salary
• Opportunity to architect foundational modelling and optimisation systems for a major technology programme
• Significant autonomy and technical ownership
• Ability to shape modelling strategy, culture, and long‑term system design
• Work within a deeply technical team solving highly complex, meaningful challenges

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead AI Engineer

$200,000

Location: Pittsburgh, PA (Onsite)

THE COMPANY

A high‑growth, mission‑driven technology organisation is expanding its advanced AI function. The team specialises in building intelligent autonomous systems designed to operate across complex workflows and high‑stakes environments. Engineers here work on cutting‑edge agentic technologies with significant ownership and impact.

THE ROLE

As the Lead AI Engineer, you’ll guide a specialised engineering team responsible for designing, building, and deploying next‑generation agentic AI systems. You will lead technical strategy, architecture decisions, and hands‑on development, while also mentoring engineers and driving best‑in‑class standards for performance, reliability, and scalability.

You’ll oversee the development of agents capable of long‑horizon planning, tool‑use, memory, and coordination across multi‑agent environments, ensuring they can operate effectively in real‑world mission‑critical settings.

KEY RESPONSIBILITIES

• Lead the design and development of agentic AI systems from conception through production
• Architect multi‑agent systems with planning, routing, memory, and complex tool‑use
• Build modular “skills” and components that plug into backend systems and data pipelines
• Establish evaluation frameworks, telemetry systems, and observability tools for agent behaviour
• Guide Agile processes, technical planning, and day‑to‑day engineering execution
• Partner with product and delivery teams to solve complex operational challenges
• Provide mentorship and technical leadership to engineers and data scientists

EXPERIENCE REQUIRED

• Several years of experience building and deploying ML or LLM‑powered systems in production
• Experience leading or mentoring engineering teams
• Demonstrated expertise in LLM integration and agentic system development
• Strong Python engineering skills
• Hands‑on experience with cloud infrastructure (AWS preferred)
• Familiarity with LLM algorithms, scaling patterns, and system reliability
• Ability to operate autonomously in high‑pace, ambiguous environments
• Comfortable with Git and modern engineering workflows

DESIRABLE EXPERIENCE

• Experience designing or deploying complex multi‑agent architectures
• Exposure to startup or high‑growth engineering cultures
• Experience with GenAI coding tools or best practices for agentic systems
• Eligibility to work in secure or sensitive environments

THE OFFER

• Ownership over next‑generation agentic AI strategy and architecture
• Opportunity to lead a high‑impact engineering team
• Work with cutting‑edge LLM and agentic technologies
• Fast‑paced environment with strong technical autonomy

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Data Scientist

$175,000 to $200,000

Location: Pittsburgh, PA (Onsite)

THE ORGANISATION

A quietly scaling technology group is investing heavily in next‑generation AI capabilities. Their work centres on high‑complexity data environments, advanced analytics, and intelligent systems that surface insight, support decision‑making, and power exploratory research. The culture values depth of thinking, technical rigour, and leaders who thrive in ambiguous, evolving problem spaces.

THE OPPORTUNITY

This position will lead the development of sophisticated search, retrieval, and reasoning systems built on large‑scale datasets and advanced modelling techniques. You will act as the senior technical authority architecting platforms, shaping long‑term strategy, and mentoring a high‑calibre team across both Data Science and AI Engineering.

The role blends deep research, hands‑on modelling, system design, and leadership. Expect to define the roadmap for how information is indexed, retrieved, ranked, explored, and transformed into actionable outcomes. This is a position for someone who enjoys building from first principles, driving technical direction, and delivering complex AI capabilities end‑to‑end.

WHAT YOU’LL LEAD

• Designing and building advanced retrieval, ranking, and AI‑driven research systems
• Setting the technical strategy and multi‑year roadmap for search, knowledge exploration, and agentic reasoning capabilities
• Architecting large‑scale pipelines combining embeddings, traditional search methods, knowledge graphs, and hybrid retrieval techniques
• Developing conversational exploration tools, structured reasoning systems, and intelligent query‑understanding models
• Acting as the principal technical contributor on high‑impact projects, while also coaching and elevating senior engineers and scientists
• Collaborating with product and engineering to translate open‑ended problem statements into clear, scalable technical plans
• Establishing best practices across experimentation, modelling, evaluation, and model lifecycle management
• Bringing cutting‑edge research (LLMs, retrieval, agentic behaviours, multimodal embeddings, etc.) into production environments
• Leading workshops, technical discussions, and internal knowledge‑building initiatives

WHAT YOU BRING

• 7+ years’ experience in applied Data Science or AI research within a production‑focused environment
• Background in search/retrieval, ranking systems, embeddings, or related areas
• Expertise in building and scaling RAG pipelines, hybrid retrieval architectures, or advanced indexing strategies
• Strong ability to design and evaluate multimodal embedding models, vector‑based retrieval, and graph‑driven systems
• Deep experience with ranking and reranking architectures (bi‑encoders, cross‑encoders, multi‑tower structures)
• Strong Python engineering fundamentals and experience deploying complex AI systems
• Experience with reasoning frameworks, orchestration approaches, or agentic system design
• Ability to guide high‑impact initiatives from ideation through to production release
• Strong communication skills and the ability to influence technical and non‑technical stakeholders

NICE TO HAVE

• Research publications or recognised contributions to AI/ML/NLP communities
• Experience in fine‑tuning or post‑training large models
• Familiarity with evaluation methods for complex retrieval and agentic systems
• Experience working with large‑scale cloud environments and MLOps frameworks
• Proven ability to transition research prototypes into stable, enterprise‑grade products

THE OFFER

• Competitive compensation
• Ownership of a foundational AI capability within a rapidly scaling technical environment
• Autonomy to shape long‑term direction, architecture, and technical standards
• Opportunity to work on complex, meaningful challenges with a highly skilled AI team

To Apply for this Job Click Here

To Apply for this Job Click Here

Marketing Analyst

London (4 days onsite) | £45-50k + bonus

Data-driven marketing business working with large retail and consumer brands to improve customer targeting, campaign performance, and commercial outcomes through data, analytics, and technology.

The Role

You’ll join a small analytics team supporting multiple client accounts, focusing on turning customer, campaign, and behavioural data into actionable insights.

Work includes:

• Campaign and customer data analysis to understand performance drivers
• Audience and segmentation analysis (including high-value customers)
• Ad hoc deep dives on large transactional datasets
• Supporting insight delivery alongside senior team members
• Contributing to client-facing outputs (with support)

Requirements

• 1-3 years’ experience in analytics / marketing / data role
• Strong SQL skills
• Exposure to CRM, digital, or marketing data desirable
• BI tool experience (e.g. Tableau) a plus
• Strong communication and stakeholder skills
• Curious, commercially minded, and keen to develop

Interview Process

• 45-min intro interview
• Task/presentation (in-person)
• Final interview with senior stakeholder

Find out more and apply via the link below.

To Apply for this Job Click Here