The Data And AI Podcast

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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

To Apply for this Job Click Here

Senior Marketing Analyst
London (Hybrid) | Up to £65,000 | Mid-Senior Level (3-5 years)

We’re seeking a Senior Marketing Analyst to join a high-performing analytics team within a fast-paced digital marketing environment.

In this role, you’ll partner with multiple clients, transforming complex marketing and consumer data into clear, actionable insights that drive campaign performance and business growth.

What You’ll Do

• Analyse large-scale online and offline marketing data to uncover trends and opportunities
• Deliver data-driven insights to optimise campaign performance and maximise ROI
• Support the development and interpretation of Marketing Mix Models (MMM)
• Conduct hands-on analysis using SQL, Python, or R
• Present insights and recommendations to clients and internal stakeholders
• Collaborate with cross-functional teams including sales, product, media, and account management

What We’re Looking For

• 3-5 years’ experience in marketing analytics, data analytics, or data science
• Strong statistical knowledge (e.g. A/B testing, confidence intervals, model uncertainty)
• Experience with MMM or similar advanced modelling techniques
• Proficiency in SQL and/or Python/R
• Experience with BI and visualisation tools (e.g. Tableau)
• Solid understanding of digital marketing, media channels, and targeting strategies
• Excellent communication skills with experience in client-facing environments

About You

You’re a commercially minded analyst who enjoys turning complex data into clear, impactful stories. You’re naturally curious, detail-oriented, and confident working with stakeholders in a fast-moving, client-focused setting.

Interested?
Find out more and apply via the link below.

To Apply for this Job Click Here

To Apply for this Job Click Here

Forward Deployed Senior Data Scientist

Salary: $175,000+ (Depending on Experience)

Locations: Remote (with 25% travel)

THE COMPANY

A high‑growth, mission‑focused technology organisation is expanding its advanced analytics and AI function. Operating in a complex, data‑rich environment, the team builds scalable, high‑impact AI systems that support critical decision‑making and deliver tangible operational value. The environment is fast‑paced, innovative, and ideally suited to someone who thrives in high‑autonomy, high‑impact roles.

THE ROLE

As a Forward Deployed Senior Data Scientist, you will work directly with stakeholders to translate complex problems into deployable AI solutions. You’ll use a combination of proprietary and commercial datasets to uncover insights, build models, and deploy production‑ready systems that support strategic decision‑making.

This role blends hands‑on data science, AI engineering, rapid prototyping, and end‑to‑end delivery ideal for someone who is highly analytical, scrappy, and passionate about solving complex technical challenges with real‑world impact.

KEY RESPONSIBILITIES

• Build advanced AI/ML/DS models and systems tailored to high‑value operational challenges
• Develop new AI‑driven technology stacks designed for specific customer use cases
• Lead end‑to‑end delivery of AI projects, from scoping to production deployment
• Partner with research, engineering, and software teams to deliver robust AI products
• Define architectural standards and project roadmaps for scalable AI systems
• Create evaluation frameworks for AI deployments, including performance, reliability, and observability
• Mentor junior team members and help shape a culture of excellence and innovation
• Stay current with emerging techniques in AI, LLMs, and agentic systems; drive adoption of best practices
• Build agentic AI systems leveraging reasoning frameworks and orchestrators
• Act as a technical leader, translating high‑level objectives into actionable technical plans

EXPERIENCE REQUIRED

• Extensive experience designing, developing, and delivering AI/ML solutions end‑to‑end
• Strong software and data science fundamentals (Python essential)
• Experience building production‑grade AI systems and integrating them into customer environments
• Ability to collaborate across research, engineering, and product teams
• Experience working with large‑scale datasets and cloud‑based ML deployments
• Strong organisational skills and the ability to communicate complex ideas clearly
• Proven ability to operate independently in fast‑moving environments and manage competing priorities
• Passion for rapid prototyping, experimentation, and building high‑impact solutions

DESIRABLE EXPERIENCE

• Publications in top AI/ML/NLP or decision science venues
• Experience developing evaluation systems for LLMs or agentic models
• Experience with fine‑tuning, post‑training, or advanced model adaptation
• Familiarity with MLOps, monitoring, deployment, and large‑scale model management
• Track record of converting research prototypes into production systems

THE OFFER

• Competitive compensation (around $175,000 base depending on experience)
• Opportunity to work on deeply impactful, high‑scale AI challenges
• High degree of autonomy, technical ownership, and end‑to‑end influence
• A fast‑paced, innovation‑driven environment with strong technical peers
• Exposure to cutting‑edge modelling, LLMs, and agentic system development

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior AI Engineer

$175,000

Pittsburgh

THE COMPANY

A highly secure, technology‑driven organisation is expanding its advanced AI engineering function. The team focuses on building intelligent autonomous systems capable of operating across complex digital environments. This is a fast‑moving, deeply technical setting where your work directly supports high‑impact, mission‑critical operations.

THE ROLE

You’ll join a specialist engineering team responsible for developing next‑generation agentic interaction capabilities. The focus is on enabling AI systems to interact with user interfaces, tools, and workflows in a structured, reliable, and autonomous manner.

You will design state‑ and action‑driven architectures that allow AI agents to reason, plan, and execute behaviours across front‑end and back‑end systems. This role is ideal for someone who has built LLM‑driven solutions end‑to‑end and thrives in high‑ambiguity environments.

KEY RESPONSIBILITIES

• Build multi‑agent systems incorporating planning, memory, routing, and scalable tool‑use
• Develop modular “agent skills” that interface with internal tools, services, and data pipelines
• Design front‑end interaction architectures with explicit state/action modelling for agent‑controlled UI behaviour
• Create evaluation frameworks, observability layers, and regression testing for agent reliability
• Work collaboratively with product and internal teams to solve complex workflow and interaction challenges

EXPERIENCE REQUIRED

• 5+ years designing, building, and deploying production‑grade ML or LLM‑powered systems
• Strong Python engineering skills
• Hands‑on experience with LLM integration, agent frameworks, and autonomous interaction models
• Cloud engineering experience (AWS preferred)
• Familiarity with LLM algorithms, interaction patterns, and UI‑driven agent behaviour
• Comfortable operating in fast‑paced, high‑ambiguity technical environments
• Good grounding in Git, CI/CD, and modern software engineering best practices

DESIRABLE EXPERIENCE

• Multi‑agent coordination and tool orchestration
• Startup or zero‑to‑one engineering exposure
• Eligibility to work in secure or sensitive environments
• Experience with GenAI coding best practices and/or agent‑centric development workflows

THE OFFER

• $175,000 base salary
• Work on advanced, next‑generation agentic interaction systems
• High‑impact projects with deep technical ownership
• Collaborate with a top‑tier engineering team in a mission‑oriented environment

To Apply for this Job Click Here

To Apply for this Job Click Here

Marketing Analyst
London, Hybrid
Salary up to £55,000

This is a standout opportunity to apply your analytics expertise to real commercial challenges. You will work with rich customer and media datasets, shape data‑driven strategies, and influence key decisions across digital marketing and media performance.

The Company
They are a well‑established digital media and data organisation known for turning complex datasets into meaningful insights. Their teams partner closely with brands to optimise marketing activity, understand consumer behaviour, and deliver measurable results. Collaboration, innovation, and continuous learning are core to their culture. They offer a hybrid working environment with a strong focus on professional development.

The Role
You will work across multiple accounts, using data to fuel digital media strategy and campaign effectiveness.
Key responsibilities include:
* Delivering analytics support across a portfolio of accounts.
* Developing actionable insights to optimise digital marketing and media performance.
* Manipulating large datasets and running custom analyses using SQL.
* Presenting clear recommendations to internal stakeholders to support decision‑making.
* Coaching commercial teams on how to interpret and communicate analytical findings.
* Contributing ideas and creative solutions to enhance client outcomes.

Your Skills and Experience
You will bring:
* Strong commercial experience working with data in a marketing, media, or customer‑focused environment.
* Proficiency in SQL and confidence manipulating large datasets.
* Experience with transactional or loyalty data.
* Understanding of online advertising methods, such as behavioural targeting or remarketing.
* Skilled in Excel and familiar with data visualisation tools such as Tableau.
* Experience working with internal or external clients in a consultative capacity.

HOW TO APPLY:

Apply by sending your CV to Joe by the link below

To Apply for this Job Click Here