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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

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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

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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

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Senior Behavioural Scientist

London, hybrid 2 days per week in office.
Salary between £80,000 to £95,000 plus bonus and equity.

This is a unique opportunity to join a fast‑growing health data organisation building cutting‑edge behavioural science products at scale. You will work on complex behavioural datasets, shape R&D initiatives, and help define how millions of healthcare decisions are understood through data.

The Company

They are a mission‑driven health data and analytics organisation combining behavioural science, data science, engineering, and research. They develop data‑powered products that reveal the drivers behind human health behaviour. Their work spans behavioural modelling, large‑scale health datasets, and the creation of innovative tools that support healthcare organisations in making more informed, personalised decisions.

The Role

• Lead behavioural thinking across a core data product focused on understanding the drivers of healthcare behaviour.
• Design and deliver end‑to‑end data collection, including surveys and other methodologies.
• Analyse large behavioural datasets to extract insights, develop behavioural profiles, and support model development.
• Identify and assess new data sources to improve behavioural signal coverage.
• Collaborate with data scientists, engineers, and product teams to shape product direction.
• Contribute to R&D work on large‑scale US datasets, developing behavioural frameworks to support product development.
• Support client‑facing teams with behavioural insight where required.

Your Skills and Experience

• PhD in a behavioural science‑aligned field with strong grounding in human behaviour, behavioural modelling, or behavioural data analysis.
• Strong experience working with behavioural, survey, or digital signal data.
• Comfortable using Python or R for analysis
• Able to translate behavioural theory into applied, scalable data products.
• Creative thinker with a builder mindset; able to take ownership and work in an environment with ambiguity.
• Must have experience with Databricks.
• Experience in healthcare, consumer behaviour, or any domain capturing human decision‑making is beneficial.

What They Offer

• £80,000 to £95,000 base salary.
• Bonus and equity.
• 6 percent employer pension contribution.
• Flexible hybrid working
• Strong culture of collaboration, impact‑driven work, and professional growth.

How to Apply

If you are interested in this Senior Behavioural Scientist position, please apply with your CV or email for more information.

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Senior Data Scientist

London, hybrid, one day a week on site.
£60,000 to £75,000 plus £5,000 cash allowance

This is an exciting opportunity to join a high‑performing data science function that is known in the market for its innovation, scale, and technical depth. You will be part of a specialist team building novel pricing models, exploring alternative data sources, and shaping the next generation of machine learning capability within a growing challenger product area.

The Company

They are a major UK digital insurer with a strong reputation for data‑driven decision making. With millions of customers and significant recent investment in pricing, modelling, and analytics, they operate one of the most advanced data science environments in the industry. The business continues to scale rapidly, backed by strong financial performance and a culture that values curiosity, experimentation, and continuous improvement.

The Role

• Build predictive models to improve pricing, customer selection, and risk understanding across car and van insurance.
• Explore and engineer novel data sources to create innovative rating factors and alternative pricing strategies.
• Develop footprint and geospatial modelling approaches, as well as residual modelling to compare expected versus actual claims outcomes.
• Work with large, messy data sets to uncover complex patterns and drive commercially meaningful insights.
• Mentor junior colleagues.

Your Skills and Experience

• Strong commercial experience building predictive models in Python and SQL.
• Confident working with large, complex, or messy datasets.
• Experience applying machine learning techniques such as gradient‑boosted models, with exposure to tools like XGBoost or CatBoost.
• Ability to form structured analytical approaches, make sensible assumptions, and communicate your reasoning clearly.
• Comfortable mentoring others and contributing to a cooperative team environment.

What They Offer

• Salary between £60,000 and £75,000.
• £5,000 cash allowance.
• Hybrid working with one day a week in the office.
• Excellent progression opportunities within a high‑growth, high‑visibility team.
• A comprehensive benefits package.

How to Apply

If you are interested in this Senior Data Scientist position, please apply with your CV below or email me at

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Senior Data Scientist
Remote – Competitive Salary & Benefits – Travel 25% / per month across the world

This is a unique opportunity to apply advanced AI and data science in highly complex, mission‑critical environments. You will work directly on real‑world challenges, building scalable AI solutions that drive strategic decisions and high‑impact outcomes.

The Company
They specialise in developing AI‑enabled platforms that support sophisticated analytical and operational needs. Their teams work with diverse datasets, combining deep technical expertise with domain insight to deliver tools that influence major strategic decisions. They encourage creativity, rapid iteration, and innovation in applied AI.

The Role
* Develop AI, ML, and data science solutions for complex analytical problems.
* Build scalable AI platforms tailored to specific operational requirements.
* Lead full‑lifecycle AI project execution, from research to production deployment.
* Collaborate with research, engineering, and software teams to deliver robust systems.
* Introduce and champion new AI methodologies, including LLMs and agentic systems.
* Mentor team members and support a culture of technical excellence.
* Translate broad requirements into actionable technical plans.

Your Skills & Experience
* Strong commercial experience delivering production‑ready AI systems.
* Expertise in AI fundamentals, LLMs, and modern AI development workflows.
* Ability to define architectures, drive roadmaps, and oversee end‑to‑end delivery.
* Skilled in collaborating across engineering, research, and product functions.
* Strong communication skills for both technical and non‑technical audiences.

What They Offer
* Competitive salary, benefits, and flexible location options.
* Direct impact on high‑stakes challenges and strategic AI initiatives.
* Opportunities to drive innovation and shape emerging AI practices.

How to Apply
If you want to build AI solutions that make a tangible impact, apply now.

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Client‑Facing Data Scientist

Eindhoven (2 days per week)
up to €6000 per month + Holiday

This is an exciting opportunity for a Client‑Facing Data Scientist who enjoys combining hands‑on analytics with strategic advisory work. You will play a key role in helping major brands translate complex data science into clear, actionable decisions.

The Company
They are a leading organisation within the media and marketing ecosystem, known for their advanced use of data, AI, and technology. Their teams operate in a collaborative, international environment where innovation, experimentation, and impactful analytics are central. They work with sizeable datasets, modern tooling, and cross‑functional experts across media, product, and data science.

The Role
In this hybrid client‑facing and technical position, you will:
* Act as a trusted advisor to Dutch‑speaking clients, helping them understand and apply data‑driven insights.
* Translate complex analytical concepts into clear, actionable recommendations.
* Shape measurement approaches, experimentation methods, and analytical frameworks.
* Design and deliver marketing analytics solutions including Marketing Mix Modelling, lift studies, attribution models, clustering, and segmentation.
* Build and analyse A/B tests across media, creative, and performance environments.
* Work closely with internal media, product, and analytics teams to turn data into meaningful outcomes.

Your Skills and Experience
You will be successful in this role if you bring:
* Strong experience in applied data science within a commercial environment.
* Proven ability to engage with clients and communicate complex analytics clearly.
* Proficiency in Python, statistical modelling, and experimentation techniques.
* Solid understanding of analytics principles, predictive modelling, and segmentation.
* Experience working with cross‑functional teams across data, product, and media.
* Fluency in Dutch for client interaction.
* Experience in marketing analytics or media measurement is beneficial but not essential.

What They Offer
* Competitive salary based on seniority and capability.
* Hybrid working with two days per week required in Eindhoven.
* Flexible working options for remaining days.
* Opportunities to grow within a maturing data science consulting capability.
* Access to varied, high‑impact projects with strong client visibility.
* Supportive team culture with focus on professional development.

How to Apply
If you are a Data Scientist who enjoys combining technical depth with client advisory, please apply with your CV to discuss the role further.

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Senior Behavioural Scientist
London (Hybrid, 2 days/week)
£80,000 to £95,000 plus benefits

If you want to apply your behavioural science expertise to large‑scale, high‑impact healthcare challenges, this role gives you the chance to shape a flagship data product from the ground up. You will work with rich behavioural datasets, innovative methodologies and a collaborative, cross‑functional team who value creativity and bold thinking.

The Company

They are a global data and insights organisation dedicated to understanding what drives human behaviour in healthcare. Their teams combine behavioural science, data science, engineering and subject‑matter expertise to help clients make more informed decisions. With a growing presence in London and a strong product‑driven culture, they are investing heavily in behavioural data and research capability. They offer an environment where you can experiment, innovate and help define how healthcare behaviour is measured at scale.

The Role

In this Senior Behavioural Scientist position, you will:
* Bring behavioural expertise into the design and evolution of a key data product.
* Lead end‑to‑end data collection, including survey design and innovative methodologies.
* Identify new behavioural signals and shape how they are captured, structured and used.
* Analyse large US datasets to uncover drivers of healthcare behaviour.
* Partner with data scientists, engineers and product specialists to embed behavioural theory into scalable solutions.
* Contribute to R&D initiatives focused on improving behavioural measurement and client value.

Your Skills and Experience

You will thrive in this role if you have:
* A PhD in a behavioural field with strong academic foundations.
* Expertise working with behavioural data, such as surveys, digital behavioural signals or modelling human behaviour.
* Strong capability in Python or R and confidence working with complex datasets.
* A creative, proactive mindset and the ability to generate new ideas and approaches.
* Experience applying behavioural theory to real‑world insights or data products.
* Evidence of initiative or entrepreneurial thinking beyond core academic work.
* An interest in healthcare behaviour or transferable consumer behaviour experience.

What They Offer
* £80,000 to £95,000 base .
* Flexible hybrid working with London workspace access.
* Opportunities to shape an evolving UK team and contribute to impactful healthcare projects.
* Collaborative culture with a strong focus on learning, innovation and autonomy.

How to Apply
To be considered for this Senior Behavioural Scientist role, please submit your CV.

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Senior Data Scientist, Alternative Pricing

Leicester

You will work on complex pricing and customer selection problems, using modern machine learning and huge, messy datasets to shape how millions of customers are priced and selected.

The Company

They are a well-established UK general insurance provider with a strong focus on car, van, bike and home insurance. Data science and analytics sit at the core of their strategy, supported by significant investment in cloud technology and digital platforms. Their pricing and data science capability is regarded as one of the strongest in the UK insurance market. You will join a profitable, tech enabled organisation with the scale, data and backing to do cutting edge work.

The Team

You will join a specialist Alternative Pricing Product team that sits alongside a core pricing function. It is a small, collaborative team of around six people, where you will provide technical leadership and mentor a graduate data scientist.

The Role

As a Senior Data Scientist, you will:

• Focus on pricing and customer selection for car and van insurance within the Alternative Pricing Product team.
• Build predictive models that identify new ways to set prices and select customers, beyond traditional pricing approaches.
• Work with very large, messy datasets across multiple product lines, leading data exploration, cleaning and feature engineering.
• Deploy models into production using Python, SQL, Azure ML and an internal deployment platform.
• Collaborate with pricing, risk and product stakeholders to test ideas, run experiments and influence pricing strategy.
• Mentor junior team members and contribute to setting technical standards within the team.

Your Skills And Experience
You will bring:

• Strong commercial experience as a Data Scientist or in a similar analytics role working on predictive modelling.
• Hands on experience building and deploying machine learning models using Python and SQL, ideally in a cloud environment such as Azure.
• Practical experience with tree based methods such as XGBoost or CatBoost, and an interest in geospatial or graph based modelling.
• Confidence working with large scale, messy, multi source datasets, including complex data cleansing and feature engineering.
• Experience solving pricing, risk or customer prediction problems and understanding how models drive profit, loss and customer outcomes.

How To Apply

If you are interested in this Senior Data Scientist opportunity in Alternative Pricing, please apply with your CV to be considered for the next stage of the process.

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