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12 Month FTC Role

Senior Data Scientist (12 Month Fixed Term Contract)
London (Hybrid, 2 days per week in the office)

This is a rare opportunity to step into a senior, end to end role where you will take full ownership of high impact data science and AI projects during a critical period of transition. You will work across a genuinely mixed portfolio of traditional machine learning and modern generative AI, with real responsibility for design, deployment, and stakeholder outcomes.

The Role
You will join a blended Data Science and AI Engineering team, covering a maternity leave where projects are already live and business critical. You will own work end to end, from scoping and solution design through to production deployment and ongoing monitoring.

Key responsibilities include:

• Owning and delivering machine learning and AI projects from problem definition to production.
• Designing models from scratch across both structured and unstructured data use cases.
• Building and deploying LLM based solutions including summarisation and agentic workflows.
• Delivering traditional machine learning models using techniques such as gradient boosting.
• Working closely with product, engineering, and business stakeholders to define requirements and trade offs.
• Deploying models using cloud infrastructure, CI/CD pipelines, and MLOps best practices.
• Taking responsibility for monitoring, performance, and ongoing improvement of live models.

Your Skills and Experience

• Strong commercial data science experience with a solid grounding in classical machine learning.
• Hands on experience deploying and owning models in production environments.
• Good understanding of LLMs and modern AI approaches, or clear capability to apply them in production.
• Experience working with cloud platforms and deployment pipelines, with exposure to CI/CD and MLOps.
• Confident working end to end, from exploratory analysis through to scalable deployment.
• Comfortable operating in regulated or complex environments.
• Strong stakeholder management and communication skills, with the ability to translate business needs into technical solutions.

Please note, this is a 12 month FTC

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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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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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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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Principal Data Scientist – GenAI & Personalization

Remote (US) | $190k-$220k + 15% bonus

My client is a large, mission-driven learning technology organization reinventing itself as an AI‑first platform. Generative AI, personalization, and data science are now at the core of how millions of students learn – and they’re hiring a Principal Data Scientist to lead from the front.

This is a true hands-on principal IC role: deep technical ownership, real influence, no line management.

Why this role stands out

• Own and shape a core AI capability – scope built around your strengths
• Work on customer-facing GenAI products used at massive scale
• Strong leadership air cover – minimal meetings, protected focus time
• High-visibility work with real-world impact in education

What you’ll do

• Design and build GenAI systems that translate education standards into structured learning objectives
• Improve AI-driven assessments, content generation, and personalization engines
• Apply rigorous statistics to messy human data – and make it production-ready
• Partner closely with engineering on deployment, testing, and optimization

What they’re looking for

• PhD in Statistics or a highly quantitative field
• Strong generative AI experience (personalization or content generation a big plus)
• Excellent Python and end-to-end ownership – research → production → impact
• Clear communicator who can influence both technical and non-technical teams
• 4-5 years post-PhD industry experience

Bonus points for: MLOps, AWS/Databricks, or education experience (not required)

Logistics

• Fully remote (US-based)
• US Citizen or Green Card only (no sponsorship)
• Core availability: 11am-5pm EST

If you want principal-level ownership, meaningful scale, and the chance to define how GenAI shows up in real learning products – this role is built for that.

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About the Role

We’re looking for a Principal Data Scientist to lead the development of AI-powered products that transform how students and educators experience learning. You’ll work at the intersection of generative AI, personalization, and educational content, building systems that adapt to individual learners at scale. This is a high-visibility, hands-on role where your work directly shapes product direction and student outcomes.

What You’ll Do

• Design and build AI/ML systems for personalization and content generation across education products

• Architect end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring

• Lead the implementation of GenAI solutions, ensuring responsible use through AI guardrails and safety frameworks

• Partner cross-functionally with product, engineering, and curriculum teams to translate learning science needs into scalable AI solutions

• Drive MLOps best practices including CI/CD for models, experiment tracking, and production monitoring

• Mentor and technically guide junior data scientists and ML engineers across the org

What We’re Looking For

• PhD in Statistics, Mathematics, Computer Science, or another quantitative field

• 5+ years of professional data science experience outside of a PhD program

• Strong hands-on Python and SQL skills – you’re comfortable writing production-grade code

• Experience with Databricks (or equivalent distributed compute platforms) and AWS (or comparable cloud infrastructure)

• Demonstrated experience with generative AI, ideally applied to personalization or recommendation problems

• Familiarity with AI guardrail frameworks and responsible AI practices

• Solid MLOps experience: model versioning, deployment pipelines, monitoring, and retraining workflows

• Strong system design ability – you can architect solutions that scale and communicate those designs clearly to stakeholders

Nice to Have

• Experience in edtech, consumer personalization, or content generation platforms

• Familiarity with LLM fine-tuning, RAG architectures, or prompt engineering at scale

• Background in learning science, adaptive learning systems, or curriculum design

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Senior AI Engineer
London (Hybrid) Competitive salary between £110,000 and £120,000 plus benefits

This is a rare chance to join a newly formed AI Lab at an early stage, where you will help shape how generative AI is applied to high quality, content rich products. You will work close to design, product and editorial partners, shipping zero to one AI systems that directly influence real user experiences.

The Company

They are a recognised organisation known for intellectual rigour, independence and innovation. Operating across media, education and enterprise insight, they reach audiences in over 170 countries. The business is investing in advanced AI capabilities to explore new ways of delivering trusted information while maintaining the highest editorial standards. A dedicated AI Lab has been created to push beyond the existing roadmap and experiment with what is next.

The Role

As a Senior AI Engineer, you will be a core technical contributor within the AI Lab, focusing on building and refining LLM powered systems.

• Build, fine tune and evaluate LLM based systems with a strong focus on editorial tone and style alignment
• Design and manage datasets for fine tuning, including annotation and versioning workflows
• Develop and test retrieval augmented generation pipelines using structured content
• Prototype text to speech and audio generation pipelines for audio first experiences
• Collaborate closely with product, design and engineering partners to ship internal tools and demos
• Work directly with editorial stakeholders to define meaningful evaluation criteria for AI generated content

Your Skills and Experience

• Strong commercial experience building LLM or NLP pipelines in production or advanced prototype environments
• Hands on experience with fine tuning approaches such as supervised fine tuning, prompt or instruction tuning
• Strong Python skills and experience with modern LLM tooling and data pipelines
• Confidence defining and tracking generation quality using both quantitative and qualitative evaluation methods
• Exposure to speech to text or text to speech tools for prototyping audio experiences
• Comfortable working in ambiguity and collaborating with non technical stakeholders

What They Offer

• Competitive salary and comprehensive benefits package
• Hybrid working with 3 days per week in a London office
• Strong pension, private healthcare and wellbeing support
• Flexible working benefits including work from anywhere options

How to Apply

Apply below or email me at

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Data Scientist
London, Hybrid Working

This is an opportunity to join a growing data and analytics team where your work directly influences commercial decisions and customer engagement. You will combine advanced analytics with practical insight, helping organisations turn complex data into clear, actionable outcomes. The role offers variety, visibility, and the chance to develop your skills across a broad range of projects and industries.

The role:

• Deliver insight and analysis that supports data driven marketing and commercial decision making.
• Build and apply predictive models and machine learning techniques to optimise client strategies.
• Prepare, cleanse, and manipulate data from multiple sources to ensure it is analysis ready.
• Translate analytical findings into clear stories for both technical and non technical audiences.

Your Skills & Experience

• Strong commercial experience in data analysis or data science.
• Confident using Python or R for statistical analysis and modelling.
• Solid understanding of statistical methods and predictive modelling techniques.
• Experience working with SQL and data visualisation or BI tools.
• Ability to communicate insight clearly and work collaboratively with a range of stakeholders.
• A proactive, solutions focused mindset with strong attention to detail.

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