To Apply for this Job Click Here

Data Scientist

London based role, two days per week on site with flexibility for candidates based further north. Salary up to £65,000.

This is an opportunity to join a well established data and analytics consultancy where data science sits at the heart of client delivery. You will work on commercially meaningful modelling projects, have regular exposure to end clients, and see your work directly influence real world decision making across large consumer datasets.

The Company

They are a specialist data and analytics consultancy that combines proprietary data assets with advanced analytics and modelling expertise. Operating as a solutions led partner, they support organisations across sectors such as utilities, telecommunications, financial services and the not for profit space. Their work focuses heavily on predictive modelling to improve marketing effectiveness, customer insight and engagement strategies at scale.

The Role

As a Data Scientist, you will be responsible for designing, building and refining models aligned to client and project needs, with a strong focus on propensity and scoring models. You will work closely with subject matter experts, project managers and data analysts, and in some cases take ownership of projects end to end.

Key responsibilities include:

• Building and training predictive models to solve real commercial problems, most commonly around customer behaviour and engagement.
• Leading data discovery sessions with client stakeholders to understand objectives, constraints and available data.
• Analysing large datasets to uncover patterns and translate findings into actionable insights.
• Presenting model outputs and recommendations back to clients in a clear, engaging way.
• Iterating on models to improve performance and ensure they remain fit for purpose.
• Contributing to internal or repeat client projects where you may work independently from end to end.

Your Skills and Experience

To succeed in this role, you will bring:

• Strong commercial experience using Python and SQL for data analysis and modelling.
• Hands on experience building predictive or propensity models within a business context.
• An analytical background with the ability to get involved in both modelling and broader analysis.
• Experience working with cloud based analytics platforms, with Databricks experience a strong advantage.
• Confidence working directly with clients, including presenting findings and explaining technical concepts to non technical audiences.
• The ability to balance multiple projects and adapt to different client environments and requirements.

What They Offer

• A salary between £50,000 and £65,000 depending on experience.
• A hybrid working model with two days per week in the London office and flexibility for candidates based outside the South East.
• Exposure to a wide range of industries and business problems through consultancy led work.
• Clear opportunities for development within a growing data science function, working alongside experienced data scientists and analysts.
• The chance to work on projects that have tangible commercial and customer impact.

How to Apply

If you are a Data Scientist looking to combine hands on modelling with client facing work in a collaborative consultancy environment, apply now to find out more.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Scientist
London, hybrid two days per week | Salary up to £65,000

This role is ideal if you enjoy building predictive models that directly influence customer strategy and commercial decision making, while staying close to clients and real world use cases. You will work on varied projects, have autonomy over your models, and see your work used in live environments rather than staying theoretical.

The Company
They are a UK based data and analytics consultancy that combines large scale proprietary data with advanced analytics and modelling expertise. Working as a solutions led partner, they help organisations better understand, predict and influence customer behaviour. Their work spans multiple sectors, including utilities, telecoms, financial services and the not for profit space, delivering insight that drives measurable outcomes.

The Role
You will join a collaborative Data Science function working alongside Data Analysts, project managers and industry subject matter experts. Your responsibilities will include:

• Building, training and refining predictive and propensity models aligned to client objectives.
• Translating business problems into analytical solutions through data discovery and stakeholder engagement.
• Analysing model outputs and turning results into clear, actionable insight.
• Presenting findings and recommendations to clients in a clear and confident way.
• Owning end to end delivery on certain projects, particularly for internal or repeat client work.
• Contributing to model optimisation and continuous improvement over time.

Your Skills & Experience

• Strong commercial experience using Python and SQL for data analysis and modelling.
• Practical experience building predictive models, such as propensity or scoring models.
• An analytical mindset with the ability to contribute to both modelling and insight generation.
• Confidence working in client facing environments and explaining technical concepts to non technical audiences.
• Experience working with cloud based analytics platforms, with Databricks experience highly advantageous.

What They Offer

• Salary up to £65,000 depending on experience.
• Hybrid working with two days per week in the London office and flexibility for candidates based further north.
• Exposure to a wide range of sectors and use cases, keeping work varied and challenging.
• Clear opportunities to develop your technical capability and client facing skills within a growing data science team.
• A supportive, collaborative environment where your input and ideas are valued.

How to Apply
If you are a Data Scientist looking to combine hands on modelling with meaningful client impact, apply to learn more about the role.

To Apply for this Job Click Here

To Apply for this Job Click Here

Client-Facing Data Scientist

Eindhoven, Netherlands (hybrid, 2 days per week on-site)

Competitive salary depending on experience

This is a rare opportunity to step into a genuinely client-facing data science role where communication, consulting mindset and applied analytics carry equal weight. You will work at the heart of complex marketing and media challenges, helping clients make better decisions through advanced data science while shaping how analytics is delivered at scale.

The Company

They are a global media and marketing organisation operating across multiple international markets, delivering integrated, data-driven solutions for well-known brands. With a strong focus on AI, analytics and privacy-first data usage, they invest heavily in modern platforms and advanced measurement capabilities. The culture blends technical excellence with commercial thinking and close collaboration across disciplines.

The Role

• Act as a trusted data science partner for clients, advising on measurement, methodology and analytics strategy
• Translate complex analytical outputs into clear, actionable insights for non-technical stakeholders
• Design and deliver marketing analytics solutions such as marketing mix modelling, attribution and lift studies
• Build and analyse experiments including media, creative and website A B testing
• Develop segmentation and clustering models to support audience and targeting strategies
• Collaborate closely with internal media, product and analytics teams to deliver client-ready outputs

Your Skills and Experience

• Strong commercial experience in data science with a clear focus on applied analytics
• Proven ability to work directly with clients or senior stakeholders in a consultative capacity
• Solid grounding in statistical modelling, experimentation and data analysis
• Experience explaining technical concepts clearly to non-technical audiences
• Exposure to marketing analytics, media measurement or similar domains is beneficial
• Fluent Dutch is essential due to the client base

What They Offer

• Competitive salary aligned to experience and seniority
• A hybrid working model with mandatory on-site collaboration in Eindhoven and flexibility elsewhere
• Exposure to high-impact client projects across marketing, media and advanced analytics
• Clear opportunities to grow your consulting influence and technical depth within a specialist data science team

How to Apply

If you are looking for a client-facing data science role where your insight and communication skills will truly matter, apply now to learn more.

To Apply for this Job Click Here

To Apply for this Job Click Here

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

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

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

Principal Data Scientist

London – UK Wide Travel Expected

If you’re a hands-on Data Science / AI specialist who loves solving real operational problems, this role puts you right at the heart of client delivery. You’ll shape the problems, design and build the solutions, and see your models deployed into live environments – not parked as endless POCs.

THE COMPANY

This fast-growing consulting firm helps organisations across the public sector, defence and commercial markets deliver measurable improvements in performance through data, AI and digital solutions. They are building a modern AI & Digital capability that sits at the front of transformation programmes, working shoulder-to-shoulder with clients on their toughest operational challenges.

THE ROLE

As a Lead Data Scientist, you will blend hands-on technical work with consulting, stakeholder management and practice-building.

• Identifying high-impact Data Science, Machine Learning, AI and simulation opportunities on client engagements
• Scoping and shaping problems, designing experiments and roadmaps, and then building and deploying models end-to-end
• Leading technical workstreams, managing small teams and ensuring projects are delivered on time and to a high standard
• Translating complex technical concepts into clear, compelling narratives for non-technical senior stakeholders
• Coaching and mentoring consultants to build their capabilities in DS/ML/AI and modern analytics

YOUR SKILLS & EXPERIENCE

• Strong background in Data Science, Machine Learning, AI, simulation or advanced analytics, with clear examples of end-to-end delivery
• Proven ability to shape, not just execute: from defining the problem and designing the solution, through to delivery and measurement of impact
• Consulting capability – comfortable running client workshops, identifying opportunities, influencing senior stakeholders and supporting pitches
• Evidence of measurable commercial or operational impact (e.g. revenue growth, cost reduction, efficiency gains, service improvement)
• Hands-on experience building models and turning prototypes into robust, production-ready solutions
• Experience leading teams or technical workstreams in a project environment
• UK citizenship (for security clearance purposes) and willingness to travel across the UK 3 days per week, depending on client needs

Nice-to-have experience:

• Background in a consulting environment or a high-performing in-house DS/AI team
• Exposure to sectors such as defence, public sector and consumer/retail
• Familiarity with modern data and AI tooling such as Python, Spark, Databricks, Azure cloud, and Generative AI platforms (experience with specific tools is helpful but not essential)
• A mix of technical, product and operational experience – comfortable talking both code and business outcome

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist

London (Hybrid, 2 days per week) | £75,000 to £95,000 + bonus

This is a chance to take ownership of end-to-end machine learning products within a large-scale personalisation programme, where data science directly shapes customer experiences. You will work on production systems rather than proofs of concept, with clear visibility of impact across a highly engaged user base. The role combines technical depth, leadership, and close collaboration with product and engineering teams.

The Company

They are a well-established UK organisation operating at scale, with data and AI at the heart of their long-term strategy. The business is undergoing a significant AI transformation, embedding intelligence and personalisation into core products rather than treating data science as a support function. With a strong investment in modern platforms and partnerships, they offer a stable yet ambitious environment for senior data scientists.

The Role

• Own the full lifecycle of data science and machine learning products, from problem definition through to deployment and iteration
• Design, build, and maintain production-ready ML systems that drive personalised customer experiences
• Lead a small delivery pod, providing technical direction and mentoring to data scientists
• Translate ambiguous business problems into well-scoped, measurable data science initiatives
• Work closely with data engineering, software engineering, and product teams to ensure solutions are scalable and adopted
• Measure and optimise model performance and real-world impact, including engagement and behavioural outcomes
• Contribute to broader AI adoption and best practices across the organisation, including emerging generative AI use cases

Your Skills and Experience

• Strong commercial experience applying machine learning techniques such as regression and classification to real-world problems
• Advanced Python and SQL skills, with experience working across complex datasets
• Proven track record of delivering production machine learning solutions end to end
• Experience leading data science projects and guiding others through delivery
• Confident communicating with both technical and non-technical stakeholders
• Comfortable working in ambiguous environments and shaping solutions proactively

What They Offer

• Salary between £75,000 and £95,000 depending on experience
• Performance-related bonus paid twice yearly
• Hybrid working with two days per week in a London office
• Comprehensive benefits package including health, pension, and wellbeing support
• Clear opportunity to influence strategy, grow technical leadership skills, and work on high-impact AI initiatives

How to Apply

If this sounds like the perfect role, please apply below!

To Apply for this Job Click Here

To Apply for this Job Click Here

Your primary focus will be to work with our proprietary and commercial datasets to find critical connections, derive actionable knowledge, and identify potential issues that help our government clients make more informed decisions. Your role will involve designing, developing, and rapidly deploying scalable AI solutions that transform these insights into mission-critical capabilities. You will have the opportunity to expand and grow data-driven research across our organization, leading new areas to apply advanced analytics to drive strategic business and national security results. As part of our team, you must be an AI expert with a strong command of data science fundamentals and a proven ability to bring data-driven solutions to life within the defense ecosystem.

Scope of Responsibilities

*Develop AI/ML/DS systems to address defense problems.

*Develop new AI-based stack of technologies for particular customer needs.

*Development of evaluation solutions for AI deployments.

*Lead the end-to-end execution of AI projects, ensuring alignment with strategic objectives and timely delivery.

*Work closely with partner teams, including AI research, data engineering, and software development, to deliver robust AI systems.

*Collaborate with the AI leadership to clearly define product and applications scope, translating high-level requirements into actionable technical plans and delivering AI platforms and solutions.

*Drive the development of scalable, AI-based platforms designed to support and power solutions for a diverse range of customers within the defense ecosystem.

*Champion the introduction of new AI innovations. Stay current with the rapidly evolving fields of Artificial Intelligence, Large Language Models (LLMs), and agentic systems, and actively transfer this knowledge and best practices for implementation across the team.

*Create agentic AI systems, using AI orchestrators and particular AI reasoning capabilities as tools.

Qualifications

*U.S. Citizenship is required

*Oversee the full lifecycle of AI projects within our AI ecosystem.

*Understanding of coding AI (such as Claude Code) and experience how to use it to scale up AI team deliveries

*Collaborate with cross-functional teams (AI Research, Data Engineering, Software Development).

*Define robust software architecture for AI systems and project roadmaps.

*Translate high-level AI system requirements into actionable technical plans.

*Deliver production-ready AI solutions integrated with clients data platforms and workflows.

*Drive the implementation of scalable AI/ML platforms.

*Maintain deep expertise in cutting-edge AI, including LLMs and agentic systems. Train models, build systems based on AI innovations

*Demonstrate strong National Security domain knowledge.

Desired Skills

*A strong publication record in the top conferences in one of the AI, ML NLP, decision science areas

*Deep knowledge of LLM and Agentic system evaluation, experience in building evaluation systems

*Experience in LLM posttraining or fine tuning

*Experience with MLOps practices, including deployment, monitoring, and management of large-scale models in cloud environments (e.g., GCP, AWS, Azure).

*Track record of successfully transitioning AI research prototypes into robust, production-grade enterprise solutions

To Apply for this Job Click Here