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Data Science Manager
Location: Canada | EST Hours Required

Salary: $175-220k base + bonus

We’re partnering with a high-growth product company to hire a Data Science Manager to both ship production ML systems and build a high-performing team.

This is a true player-coach role: you’ll stay hands-on with modeling and system design while setting technical direction, hiring, and mentoring data scientists. The expectation is clear: deliver models that move retention, conversion, and revenue.

You’ll join a small, autonomous data science team with impact across Product, R&D, Finance, and GTM. The team builds customer-facing data products such as recommendation systems, churn models, and experimentation frameworks that influence how millions of users discover value.

It’s startup-level ownership with the scale and data of a large, active user base.

What You’ll Do

• Design and ship recommendation engines, churn models, and experimentation infrastructure, staying hands-on in code as the team scales
• Define success metrics, monitor production models, and iterate until business results improve
• Hire, coach, and develop data scientists; set a high bar for ownership, craft, and impact
• Partner closely with Product, R&D, Finance, and GTM to identify high-leverage problems and deliver adopted solutions
• Make pragmatic decisions around tooling, architecture, and methodology, balancing speed with long-term maintainability

What We’re Looking For

• 6+ years building and deploying consumer-facing ML systems in production
• 2+ years leading or managing data scientists or ML engineers
• Experience building teams, not just operating as an IC
• Strong Python skills
• Experience with Databricks or similar ML platforms
• Comfort across the full ML lifecycle: experimentation, feature engineering, training, deployment, monitoring
• Proven ability to translate ambiguous business problems into measurable ML outcomes
• Strong bias toward shipping, iteration, and impact
• Sound judgment on when to ship an MVP vs. invest in robustness
• Actively uses AI tools to accelerate development and expects the same from their team

Nice to Have

• Experience with experimentation platforms or causal inference
• Background in subscription or SaaS businesses
• Familiarity with TypeScript or production engineering practices

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Senior Data Scientist

Manchester (2 days on site)

A high‑growth SaaS scale‑up is hiring a Senior Data Scientist to build their first production AI capabilities. You will work end to end across ideation, prototyping, and deployment, shaping how customers detect fraud, block invalid traffic, and optimise real‑time behavioural analytics.

The Company

They are a rapidly scaling SaaS business specialising in privacy‑compliant, cookieless analytics.

They process billions of data rows weekly to prevent wasteful and fraudulent traffic.

Their platform uniquely combines real‑time behaviour modelling, fraud detection, and optimisation.

The Role

* Deliver full lifecycle AI and ML projects from prototype to production.

* Build applied AI workflows including LLMs, NLP, and RAG‑based solutions.

* Work with large and messy tabular datasets to create high‑impact models.

* Develop classification and optimisation approaches to enhance customer outcomes.

* Partner with Product and Engineering to integrate models into the platform.

* Lead the transition toward a more AI‑driven product ecosystem.

Your Skills and Experience

* Strong commercial experience deploying AI and ML systems into production.

* Hands‑on experience with LLMs, NLP, or retrieval‑augmented workflows.

* Confident working with large‑scale tabular datasets and complex data environments.

* Cloud experience, ideally AWS, plus familiarity with MLOps practices.

* Background in product‑focused environments or consultancy.

* Ability to evidence measurable business impact from previous technical projects.

What They Offer

* Hybrid working with two office days weekly.

* High levels of ownership across AI strategy and delivery.

* Opportunity to build the company’s first production AI systems.

* Collaborative culture within a scaling SaaS environment.

* Clear progression as the AI function grows.

How to Apply

To register your interest, please apply with your CV.

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Senior Data Scientist

London
£70,000 to £90,000 plus benefits

This is an exciting opportunity to join a high‑growth tech business where data science sits at the heart of product innovation. You will shape new AI‑driven capabilities, work with cutting‑edge machine learning, and help transform how customers understand and prevent complex digital challenges.

The Company

They are a fast‑scaling SaaS organisation operating at the intersection of AI, machine learning, and real‑time behavioural data. Their platform processes billions of events daily and solves technically challenging problems in a rapidly evolving domain. With data science embedded into their core product, this team plays a critical role in defining the next generation of their offering.

The Role

• Lead the end‑to‑end development of new ML and AI capabilities, from rapid prototyping through to production deployment.
• Build MVPs and collaborate closely with Engineering and Product teams to bring ideas to life.
• Apply advanced machine learning and LLM techniques, including RAG, agents and NLP, where they drive meaningful customer and product impact.
• Work with large‑scale datasets in cloud environments to deliver robust, scalable systems.
• Contribute to product strategy through strong experimentation, technical insight, and pragmatic decision‑making.

Your Skills and Experience

• Strong experience delivering production‑grade ML systems end to end.
• Proficiency in Python and SQL, with experience working on cloud‑scale datasets.
• Practical experience with LLMs and applied AI, such as RAG, agents, or NLP.
• Experience building customer‑facing or product‑centric ML systems.
• A product‑focused mindset, balancing experimentation with real‑world value.

Useful additional experience includes:

• AWS or GCP environments (SageMaker, Bedrock, Lambda, S3, Redshift).
• MLOps practices (monitoring, deployment, optimisation).
• Working with streaming data, transformer models or recommendation systems.

What They Offer

• £70,000 to £90,000 salary.
• Hybrid working with two days onsite.
• 35 days annual leave including bank holidays.
• £500 annual wellbeing budget.
• Up to £1,500 home office setup budget.
• Company pension contribution at 3 percent.

How to Apply

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

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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.

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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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