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Principal Data Scientist
Full Remote (From the US)
Salary up to $210K base + bonus

A large, global technology-led organisation operating in a mission-driven, data-intensive domain. The business designs and scales complex digital platforms used by millions of end users worldwide, combining advanced data science, AI, and product engineering to drive measurable real-world impact.

Mission

• Act as technical lead for high-impact Data Science and AI initiatives across the organisation
• Define architectures, methodologies, and best practices for complex DS/AI and GenAI problem spaces
• Lead the design and delivery of production-grade AI systems, with particular focus on LLMs and generative AI
• Drive strategic initiatives by aligning DS/AI priorities with business and product objectives
• Mentor senior and junior data scientists, setting technical direction and raising engineering standards
• Own multiple projects simultaneously: scoping, prioritisation, delivery timelines, and stakeholder alignment

Profile

• PhD or equivalent in Data Science, Applied Mathematics, Statistics, or related field
• Senior-level experience: typically 6-10+ years in DS/AI roles, including leadership at Principal / Staff level
• Demonstrated technical leadership: defining strategy, owning complex initiatives, and mentoring teams
• Deep hands-on experience with production-scale DS/AI systems, with a strong recent focus on Generative AI / LLMs
• Expertise in LLM architectures, orchestration frameworks, and AI governance (guarding, scaling, monitoring, reliability)
• Strong understanding of MLOps / LLMOps in enterprise environments

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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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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- $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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Data Scientist (LLM)

Location: Chicago

Salary: Up to $170,000 + Benefits

An exciting opportunity has arisen for a Data Scientist to join a global SaaS organization that is transforming decision-making across a critical sector. With thousands of clients worldwide, this company is dedicated to delivering innovative solutions that drive measurable impact and operational efficiency.

The Role

The successful candidate will join a high-performing Analytics & Insights team, responsible for building predictive models and intelligent data pipelines that enable data-driven strategies. This position plays a key role in shaping product development and improving customer outcomes.

Key Responsibilities:

• Develop advanced statistical models and machine learning algorithms for predictive analytics and forecasting.
• Extract, clean, and transform complex datasets using SQL, Python, and modern ETL frameworks.
• Design and implement experiments to validate product impact and optimize outcomes.
• Collaborate with engineers, product managers, and domain experts to translate business challenges into data solutions.
• Implement monitoring and validation tools to ensure data quality and reliability.

What They’re Looking For

• Mid-level experience in data science or machine learning, ideally within SaaS or a data-driven industry.
• Proven track record of building and deploying end-to-end data solutions.
• Strong knowledge of statistical analysis, regression, time-series forecasting, clustering, and experimental design.
• Hands-on experience with SQL, Python (or R), and distributed data technologies (e.g., Spark, Hadoop, Kafka, or cloud platforms like AWS/GCP/Azure).
• Ability to troubleshoot and maintain scalable data workflows.
• A collaborative mindset and passion for using data to drive impact.

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Staff GTM Data Scientist

Location: Remote

Salary: $190-220k base

We’re partnering with a fast-growing SaaS company to find a Staff Data Scientist for a senior, high-visibility role sitting at the heart of their product and go-to-market strategy. This isn’t a reporting role or a dashboard-builder position. It’s for someone who can drive a genuine shift toward data-driven decision making across the organization, and who has the technical depth and communication skills to bring leadership along with them.

What You’ll Be Doing

• Owning and advancing the company’s experimentation roadmap, focusing on high-leverage questions around customer workflows, churn risk, and long-term value
• Designing and analyzing complex A/B tests, multivariate experiments, and Bayesian methods to assess the real impact of product and business changes
• Applying causal inference techniques (DiD, synthetic control, propensity score matching, instrumental variables) where traditional RCTs aren’t feasible
• Building and governing a unified KPI framework that connects product health metrics to business outcomes
• Partnering with Data Engineering to build scalable, self-serve experimentation tooling and reusable analytical frameworks
• Translating complex statistical findings into clear, compelling narratives for VP and C-suite audiences
• Mentoring and training junior and mid-level data scientists on experimental design and causal modeling

What We’re Looking For

This is a senior individual contributor role reporting to the Director of GTM Data, acting as a strategic thought partner across Product, Marketing, Finance, and Engineering. The company is at an inflection point in how it uses data, and this person will be central to shaping that.

Essential:

• 6+ years in applied data science, economics, or product analytics
• Proven expertise in causal inference: DiD, PSM, instrumental variables, quasi-experimentation
• Deep experience in A/B testing methodology including sequential testing, CUPED, variance reduction, and network effects
• Advanced SQL and Python or R for statistical modeling
• Experience with Snowflake or similar cloud data warehouses
• Exceptional communication skills, comfortable presenting to and influencing C-suite stakeholders
• Demonstrated ability to drive change in organizations where experimentation culture is still maturing

Nice to have:

• Experience with dbt, Airflow, or Databricks
• Background in SaaS and product data science

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Staff Data Scientist (Product)

Location: Remote

Salary: $190-220k

We’re partnering with a fast-growing SaaS company to find a Staff Data Scientist for a senior, high-visibility role embedded in their product organization. This is for someone who combines deep statistical expertise with the ability to influence how an entire company makes decisions – not just someone who runs experiments, but someone who builds the culture and infrastructure around them.

What You’ll Be Doing

• Owning and advancing the company’s experimentation roadmap, focused on high-leverage product questions around customer workflows, churn risk, and long-term value
• Designing and analyzing complex A/B tests, multivariate experiments, and Bayesian methods to measure the real impact of product changes
• Applying causal inference techniques (DiD, synthetic control, propensity score matching, instrumental variables) where traditional RCTs aren’t feasible
• Building and governing a unified KPI framework that connects product health metrics to meaningful business outcomes
• Partnering with Data Engineering to build scalable, self-serve experimentation tooling and reusable analytical frameworks
• Translating complex statistical findings into clear, compelling narratives for VP and C-suite audiences
• Mentoring and training junior and mid-level data scientists on experimental design and causal modeling

What We’re Looking For

This is a senior individual contributor role reporting to the Director of Product Data, acting as a strategic thought partner across Product, Engineering, Finance, Design, and Product Marketing. The company is at an inflection point in how it uses data to make product decisions, and this person will be central to shaping that.

Essential:

• 6+ years in applied data science, economics, or product analytics
• Proven expertise in causal inference: DiD, PSM, instrumental variables, quasi-experimentation
• Deep experience in A/B testing methodology including sequential testing, CUPED, variance reduction, and network effects
• Advanced SQL and Python or R for statistical modeling
• Experience with Snowflake or similar cloud data warehouses
• Exceptional communication skills, comfortable presenting to and influencing C-suite stakeholders
• Demonstrated ability to drive change in organizations where experimentation culture is still developing

Nice to have:

• Experience with dbt, Airflow, or Databricks
• Background in SaaS and product data science

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Senior Data Scientist
London, hybrid 2 to 3 days in office. £70,000 to £90,000 base salary plus bonus and benefits.

If you enjoy owning models end to end and want your work to directly influence marketing investment and commercial outcomes, this role offers real visibility and impact. You will step into a senior position where data science is actively shaping decision making, with strong leadership backing and clear scope to develop both people and products.

The Company
They are a well established, consumer focused organisation operating at scale across multiple international markets. Following recent leadership changes, the business is investing heavily in data, analytics and marketing effectiveness as part of a wider transformation programme. The data science function has grown rapidly and is now a strategic partner to marketing, CRM and commercial teams. Collaboration, curiosity and commercial thinking sit at the heart of the culture.

The Role

• You will lead the development and evolution of Marketing Mix Modelling, using it to guide how marketing spend is allocated and optimised.
• You will work closely with marketing and CRM teams to turn complex modelling into clear, actionable insight.
• You will own stakeholder engagement around marketing effectiveness, measurement and experimentation.
• You will help scale models and frameworks across international markets.
• You will line manage and develop a Data Scientist, setting technical direction and best practice.
• You will contribute to wider data science initiatives such as recommendation systems and propensity modelling.

Your Skills & Experience

• Strong commercial data science experience within marketing, CRM, customer or performance analytics.
• Hands on capability with Python and SQL, and experience working in a cloud based environment.
• Experience building and embedding statistical or machine learning models that drive business decisions.
• Knowledge of experimentation, performance measurement and causal analysis.
• Ability to communicate confidently with both technical and non technical stakeholders.
• A pragmatic, commercially minded approach to solving business problems with data.

What They Offer

• Base salary between £70,000 and £90,000.
• Discretionary bonus.
• Pension with employer and employee contributions.
• Comprehensive flexible benefits package.
• Hybrid working with regular collaboration in a central London office.
• Clear progression within a growing data science and marketing analytics function.

How to Apply
This is a priority hire with interviews moving quickly, particularly for candidates on short notice periods. Apply now to discuss how this role could fit your next career move.

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Senior Data Scientist
London – Hybrid 2 to 3 days in office | £70,000 to £90,000 + bonus and benefits

This is an opportunity to take ownership of high impact marketing data science work in a business that is actively investing in its analytics capability. You will play a lead role in shaping how advanced measurement and modelling informs commercial decisions, with clear visibility, influence, and scope to grow.

The Company

They are a well established, consumer focused organisation undergoing a period of transformation, with renewed leadership and a strong focus on data driven decision making. Significant investment is being made into their data science and analytics function, which has grown rapidly across the UK and US. The culture is collaborative, commercially minded, and supportive of innovation, with data science positioned as a strategic partner to the business.

The Role

• Lead the development and evolution of Marketing Mix Modelling to improve how marketing investment is measured and optimised
• Generate actionable insights across marketing performance, CRM, and customer behaviour, influencing senior stakeholders
• Scale and enhance modelling capability, with the opportunity to extend solutions into international markets
• Collaborate closely with marketing, CRM, and analytics teams to embed data science into day to day decision making
• Contribute to a broader portfolio of data science initiatives such as recommendation systems and propensity modelling
• Provide guidance and oversight to a Data Scientist, supporting delivery and technical development

Your Skills and Experience

• Strong commercial data science experience within a marketing, CRM, or customer focused environment
• Hands on expertise with Python and SQL, and experience working in a cloud environment such as AWS
• Experience building and deploying models that drive measurable business impact
• Strong understanding of performance measurement, experimentation, and causal analysis
• Confident communicator able to translate complex analysis into clear, practical recommendations
• Experience with Marketing Mix Modelling

What They Offer

• Salary between £70,000 and £90,000
• Annual bonus of 10 percent
• Competitive pension and flexible benefits package
• Hybrid working with 2 to 3 days per week in the London office
• Clear progression as the data science function continues to grow

How to Apply

Apply below if this sounds like the perfect opportunity for you, or email me at

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