To Apply for this Job Click Here

Marketing Data Scientist

London | £45,000 to £55,000 + bonus and benefits
No sponsorship offered – must have full right to work in the UK

This is a rare opportunity to join a growing data science function at a pivotal moment for the business. With senior backing, fresh investment, and a clear focus on marketing effectiveness, this role offers real ownership, visibility, and the chance to shape how data science drives commercial decisions at scale.

The Company

They are a well established, international organisation undergoing a period of transformation, with a renewed focus on data driven decision making. A new leadership team is investing heavily in analytics to improve customer understanding, optimise marketing spend, and drive long term growth. The data science team has expanded rapidly and continues to grow across the UK and US, creating strong collaboration and progression opportunities.

The Role

You will sit within a marketing measurement and reporting team, focusing on understanding and improving marketing performance across channels. This role combines hands on modelling with real business impact.

Key responsibilities include:

• Developing and enhancing media mix models to measure and optimise marketing investment.
• Scaling an established UK modelling framework and applying it to international markets.
• Leading the evolution of marketing effectiveness modelling, with support and one direct report.
• Working closely with marketing, CRM, and analytics stakeholders to turn insights into action.
• Contributing to wider data science projects such as experimentation, propensity modelling, and recommendation systems.
• Owning projects end to end, from problem definition through to measurable business impact.

Your Skills and Experience

• Strong hands on experience with Python and applied machine learning.
• Solid grounding in statistical and predictive modelling techniques.
• Experience designing experiments and evaluating performance using A B testing or similar approaches.
• Confidence working with real world, messy data and delivering production ready solutions.
• Familiarity with cloud environments such as AWS is beneficial.
• Exposure to Bayesian methods, random forests, or marketing analytics is advantageous but not essential.
• Ability to demonstrate how your work has delivered tangible value or influenced decision making.

What They Offer

• Salary between £45,000 and £55,000 depending on experience.
• 10 percent annual bonus.
• Pension with 3 percent employer and 5 percent employee contribution.
• Hybrid working with 2 to 3 days per week in the London office.
• Clear progression as the data science team continues to grow and invest.

How to Apply

If you are looking for a hands on marketing focused data science role with ownership, impact, and urgency, apply now to be considered. Sponsorship is not available for this role.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Center Engineer – Build the Future of High-Performance Infrastructure

Irving, TX (100% onsite)
Up to $235K base + bonus + equity (OTE ~$330K-$350K+)

Why This Role Stands Out

This isn’t just another architecture role – it’s an opportunity to shape next-generation data center strategy at a globally recognized leader in semiconductor innovation.

You’ll sit at the forefront of infrastructure evolution, designing and scaling environments that power cutting-edge engineering, manufacturing, and high-performance workloads. With strong executive visibility and influence, your decisions won’t just support the business – they’ll define its future.

What You’ll Own

As the Data Center Architect, you’ll be the driving force behind designing and modernizing mission-critical environments across multiple sites. This is a high-impact role blending deep technical expertise with strategic vision.

Design & Architecture Leadership

• Architect large-scale, high-availability data center environments (compute, storage, networking, power, cooling)
• Define scalable, future-ready infrastructure aligned to aggressive growth plans
• Standardize designs across sites (rack layouts, deployments, and infrastructure components)

Next-Gen Networking (Arista Focus)

• Lead architecture for Arista-based data center fabrics in a multi-vendor ecosystem
• Utilize Arista CloudVision (CVP) for centralized management, visibility, and life-cycle operations
• Drive automation and consistency using AVD (Arista Validated Designs)
• Balance innovation with flexibility – avoiding vendor lock-in while maximizing performance

Capacity & Growth Strategy

• Own capacity planning and forecasting across multiple data centers
• Anticipate demand from engineering and manufacturing workloads
• Lead expansions and upgrades proactively – before they become constraints

What Makes You a Fit

You’re not just an architect – you’re a builder and strategist who thrives in complex, high-stakes environments.

• Proven experience designing enterprise or large-scale data centers
• Strong expertise across networking, compute, storage, and facility infrastructure
• Background in semiconductor, advanced manufacturing, or similar high-precision environments (strongly preferred)
• Experience supporting high-performance or engineering-driven workloads
• Track record of leading multiple data center builds or major expansions (3+)
• Familiarity with hyperscale or cloud-inspired architectures (AWS, Azure, GCP)
• Ability to operate both hands-on and strategic, with strong stakeholder influence

What You’ll Gain

• Direct impact on infrastructure strategy at a global technology leader
• The opportunity to bring modern, hyperscale design thinking into a highly complex environment
• Executive-level visibility and influence
• Top-tier compensation with significant upside

Bottom Line

If you’re looking to move beyond “keeping the lights on” and instead architect the future of high-performance infrastructure, this is the role that puts you in the driver’s seat.

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal Data Scientist – K-12 EdTech

We are currently spearheading a confidential search for a Principal Data Scientist on behalf of our client, a global leader in educational transition and innovation. This role offers the opportunity to provide high-level technical and scientific leadership for some of the most critical strategic efforts within their K-12 School business unit.

As a senior member of an elite team comprising AI researchers and psychometricians, you will be at the forefront of delivering cutting-edge DS/AI solutions that define the future of classroom learning.

The Opportunity

• Strategic Leadership: Lead the design and implementation of technical solutions that align with the organization’s long-term goals.
• Innovation & GenAI: Drive the development of production-scale DS/AI systems, with a specific recent focus on Generative AI (GenAI) applications.
• Cross-Functional Impact: Collaborate with Product, Engineering, Learning Design, and UX teams to ensure data science initiatives are perfectly synced with business objectives.
• Stakeholder Influence: Define project timelines across workstreams and present high-level findings and recommendations to key stakeholders.

Who You Are

• Expert Educator: You hold a Doctoral degree (or equivalent) in AI, Data Science, or a related field.
• Seasoned Professional: You bring 5+ years of applicable experience to the table.
• Technical Authority: You possess recognized expertise in at least one area of DS/AI through both academic and industry contributions.
• Systems Expert: You have deep, practical experience with production-scale DS/AI systems.
• Communicator: You possess a clear, collaborative communication style and the ability to lead technical projects independently.

Compensation & Logistics

• Salary Range: $190,000 – $220,000 per year.
• Bonus: Performance-based bonus eligible.
• Travel: Ability to travel up to 25% as required.
• Environment: General office setting with support for Remote work.
• Physical: Role is generally sedentary, requiring standing/walking approximately 10% of the time.

Note: Due to the confidential nature of this search, further details regarding our client’s identity will be shared with qualified candidates during the initial interview stage.

Apply today to explore this leadership-level opportunity in EdTech.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Scientist
London, hybrid 2-3 days in office| £45,000 to £55,000 + bonus + benefits
1-2 years experience
No Sponsorship available

This is an opportunity to join a growing data science function at a pivotal point in its evolution. The role offers real ownership, hands-on modelling work, and the chance to shape how marketing effectiveness is measured and scaled across international markets. With senior backing and investment in data, this is a role where your work will directly influence commercial decisions.

The Company

They are a well-established consumer-facing organisation. Data and analytics sit at the centre of their growth strategy, with clear investment into modernising CRM, marketing measurement, and decision-making capabilities. The data science team has expanded rapidly and continues to grow across the UK and US, with strong visibility and support from senior stakeholders.

The Role

• Lead the development and evolution of media mix modelling to understand and optimise marketing channel performance.
• Scale an existing UK marketing effectiveness model and support its rollout into the US market.
• Work closely with marketing, CRM, and analytics teams to generate actionable insights.
• Take ownership of models from concept through to delivery, ensuring measurable business impact.
• Contribute to additional data science initiatives such as propensity modelling, experimentation, and recommendation systems.
• Support and develop a junior team member within the marketing measurement space.

Your Skills & Experience

• Strong hands-on experience with Python and machine learning techniques.
• Solid grounding in statistical modelling and performance measurement.
• Experience designing experiments and working with A B testing frameworks.
• Confidence working end to end on data science projects and demonstrating commercial impact.
• Familiarity with cloud environments such as AWS is beneficial.
• Exposure to Bayesian methods, random forests, or similar approaches is highly desirable.
• Marketing or channel performance experience is helpful but not essential; technical capability is the priority.

What They Offer

• Salary between £45,000 and £55,000 depending on experience.
• Annual bonus of up to 10 percent.
• Pension with 3 percent employer and 5 percent employee contributions.
• A flexible benefits package aligned to roles under £70,000.
• Hybrid working with 2 to 3 days per week in the London office.
• Clear scope for progression as the data science team continues to grow.

How to Apply

If you are looking for a hands-on data science role with real ownership and impact, apply now to learn more.

To Apply for this Job Click Here

To Apply for this Job Click Here

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead AI Engineer

$200,000

Location: Pittsburgh, PA (Onsite)

THE COMPANY

A high‑growth, mission‑driven technology organisation is expanding its advanced AI function. The team specialises in building intelligent autonomous systems designed to operate across complex workflows and high‑stakes environments. Engineers here work on cutting‑edge agentic technologies with significant ownership and impact.

THE ROLE

As the Lead AI Engineer, you’ll guide a specialised engineering team responsible for designing, building, and deploying next‑generation agentic AI systems. You will lead technical strategy, architecture decisions, and hands‑on development, while also mentoring engineers and driving best‑in‑class standards for performance, reliability, and scalability.

You’ll oversee the development of agents capable of long‑horizon planning, tool‑use, memory, and coordination across multi‑agent environments, ensuring they can operate effectively in real‑world mission‑critical settings.

KEY RESPONSIBILITIES

• Lead the design and development of agentic AI systems from conception through production
• Architect multi‑agent systems with planning, routing, memory, and complex tool‑use
• Build modular “skills” and components that plug into backend systems and data pipelines
• Establish evaluation frameworks, telemetry systems, and observability tools for agent behaviour
• Guide Agile processes, technical planning, and day‑to‑day engineering execution
• Partner with product and delivery teams to solve complex operational challenges
• Provide mentorship and technical leadership to engineers and data scientists

EXPERIENCE REQUIRED

• Several years of experience building and deploying ML or LLM‑powered systems in production
• Experience leading or mentoring engineering teams
• Demonstrated expertise in LLM integration and agentic system development
• Strong Python engineering skills
• Hands‑on experience with cloud infrastructure (AWS preferred)
• Familiarity with LLM algorithms, scaling patterns, and system reliability
• Ability to operate autonomously in high‑pace, ambiguous environments
• Comfortable with Git and modern engineering workflows

DESIRABLE EXPERIENCE

• Experience designing or deploying complex multi‑agent architectures
• Exposure to startup or high‑growth engineering cultures
• Experience with GenAI coding tools or best practices for agentic systems
• Eligibility to work in secure or sensitive environments

THE OFFER

• Ownership over next‑generation agentic AI strategy and architecture
• Opportunity to lead a high‑impact engineering team
• Work with cutting‑edge LLM and agentic technologies
• Fast‑paced environment with strong technical autonomy

To Apply for this Job Click Here

To Apply for this Job Click Here

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

To Apply for this Job Click Here

To Apply for this Job Click Here

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

To Apply for this Job Click Here