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Job Title: Client-Facing Data Scientist (Marketing & Market Mix Modelling)

Location: Netherlands / Belgium / Hybrid
Language Requirement: Fluent Dutch & English

About the Role

The company is seeking a Dutch-speaking, client-facing Data Scientist to join its growing analytics team. This role focuses on delivering data-driven insights for commercial and marketing stakeholders, with a strong emphasis on marketing analytics and Market Mix Modelling (MMM).

The successful candidate will act as a trusted advisor to clients, translating complex analytical outputs into clear, actionable recommendations that inform marketing strategy, budget allocation, and overall business performance.

Key Responsibilities

• Develop, maintain, and improve Market Mix Models to measure marketing effectiveness across channels

• Work directly with clients to understand business challenges and define analytical approaches

• Translate model results into clear insights and recommendations for non-technical stakeholders

• Present findings to marketing teams, commercial leaders, and senior stakeholders

• Analyse marketing data including media spend, sales, pricing, promotions, and external factors

• Collaborate with internal data science, engineering, and consulting teams

• Support scenario planning, forecasting, and optimisation of marketing budgets

Required Skills & Experience

• Strong academic or professional background in data science, statistics, econometrics, or a related field

• Proven experience in Market Mix Modelling or advanced marketing analytics

• Proficiency in Python and/or R (SQL experience is an advantage)

• Solid understanding of marketing channels (digital and offline)

• Ability to communicate complex analytical concepts clearly and confidently

• Fluent Dutch, both written and spoken, with professional-level English

• Experience in a client-facing or stakeholder-facing role

Nice to Have

• Experience in consulting, analytics advisory, or agency environments

• Knowledge of causal inference, time-series modelling, or Bayesian approaches

• Experience with data visualisation tools such as Tableau or Power BI

• Experience working with large and complex marketing datasets

What the Company Offers

• Exposure to high-impact marketing and commercial projects

• Regular interaction with senior client stakeholders

• A collaborative, analytics-led working environment

• Competitive salary and benefits

• Flexible and hybrid working arrangements

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Research Manager (Data Services)
London, £45,000 to £55,000
This is an exciting opportunity to step into a high‑impact Research Manager role where you will shape end‑to‑end quantitative projects, partner closely with clients, and help define best practice within a growing data‑driven research function. If you are looking for greater ownership, autonomy, and the chance to work with innovative research technology, this role stands out.
The Company
They are a fast‑growing insights organisation using advanced technology to help clients understand audiences with greater accuracy and speed. Their teams blend research expertise with modern data tools, delivering impactful work across a broad range of sectors. As part of their continued growth, they are expanding their research capability and investing heavily in talent. You will join a collaborative environment where curiosity, quality, and client success are central to how they operate.
The Role
You will lead Data Services client accounts and deliver high‑quality quantitative research through their proprietary platform. Your responsibilities will include:
* Managing and owning client relationships, acting as a trusted partner throughout each project.
* Scoping, designing, and delivering quantitative studies from initial brief to final outputs.
* Leading client calls, sharing updates, and presenting findings clearly and confidently.
* Creating data tables and custom outputs using tools such as DisplayR.
* Partnering with consulting and analytics teams on larger insight programmes.
* Coaching and supporting researchers within the team.
* Identifying opportunities to improve processes, standards, and ways of working.
Your Skills and Experience
You will thrive here if you bring strong quantitative research capabilities and a proactive, solutions‑focused mindset. You should have:
* Strong commercial experience delivering quantitative market research projects end‑to‑end.
* Proven ability to design and script surveys to a high standard.
* Confidence advising clients on sampling, survey design, and potential risks.
* Experience creating data outputs and ensuring exceptional data quality.
* A commercially aware approach, including providing quotes and supporting RFP responses.
* An interest in combining research expertise with modern research technology.
* Experience with DisplayR is beneficial but not essential.
What They Offer
* Salary between £45,000 and £55,000, depending on experience.
* A collaborative, high‑growth environment with genuine progression opportunities.
* The chance to build deep client relationships and own meaningful research programmes.
* Ongoing learning and development, including exposure to new methods and technologies.
* Predominantly office‑based working to support collaboration and team development.
How to Apply
If you are excited by the opportunity to lead impactful quantitative research in a modern, tech‑enabled environment, please apply today.

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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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AI Architect

London- hybrid

Salary £90000 to £100000.

This is a senior opportunity to join a newly created AI team within a global consultancy that is investing heavily in next generation AI capabilities. You will lead the design of enterprise AI solutions, partner directly with clients, and shape the roadmap for AI adoption in a high impact environment.

The Company

They are an international digital transformation consultancy with a long standing reputation for delivering complex technology solutions. Operating at scale, they partner with organisations globally to modernise systems, introduce automation and deploy AI. They are building a dedicated capability to deliver AI solutions for clients within the audit domain, creating multiple senior and mid level roles.

The Role

* Lead the design of AI and ML architectures across large scale client engagements.

* Translate client requirements into practical, scalable AI solutions.

* Guide engineers on best practice, technical direction and solution implementation.

* Work with model families including GPT, Llama, Claude and Mistral.

* Engage directly with stakeholders to define challenges, shape transformation programmes and set solution strategy.

* Act as a technical leader within a newly established team and contribute to long term capability development.

Your Skills and Experience

* Strong commercial experience designing AI, ML or NLP solutions.

* Expertise in Python and modern ML/NLP practices.

* Hands on experience working with LLMs such as GPT, Llama, Claude or Mistral.

* Ability to communicate complex technical concepts clearly to both technical and non technical audiences.

* Experience guiding engineers or setting technical direction within AI solution delivery.

How to Apply

Please apply with your CV and a consultant will be in touch.

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AI Engineer

London, hybrid, three days onsite

Salary up to £85000.

This is an opportunity to join a newly built AI function within a global digital transformation consultancy. You will help shape innovative AI solutions for high profile clients while working alongside experienced architects and technical leaders in a team that is being heavily invested in.

The Company

They are an established global consultancy providing technology and data transformation services across a wide variety of industries. With operations spanning multiple continents, they partner with organisations to solve complex data challenges and to accelerate AI adoption. They are expanding a specialised team dedicated to delivering AI solutions for clients in the audit domain, with significant long term growth planned.

The Role

* Implement AI agent solutions designed by the architecture team.

* Build and deploy production grade models using Python, ML and NLP techniques.

* Work with modern LLMs including GPT, Llama, Claude and Mistral.

* Contribute to solution development while learning best practice from senior engineers and architects.

* Collaborate closely with client facing teams and technical leads as part of a multidisciplinary delivery function.

Your Skills and Experience

* Strong practical experience with Python for machine learning or NLP.

* Hands on exposure to modern LLMs and ability to work with models such as GPT, Llama, Claude or Mistral.

* Understanding of how to implement AI solutions rather than build foundational models.

* Ability to work collaboratively and contribute to end to end solution delivery.

What They Offer

* Salary up to 85000 depending on experience.

* Hybrid working, three days in the office.

* The chance to grow quickly in a newly established AI engineering capability.

* Access to industry leading expertise, tooling and enterprise scale AI projects.

How to Apply

Please apply with your CV and a consultant will be in touch.

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Analytics ManagerRemote – UK based

£100,000 to £120,000

This is an exciting opportunity to take ownership of customer and insight analytics within a data driven, fast paced business. You will shape how analytics is delivered, influence strategic decisions, and support high impact commercial teams.

The Company
They are a growing digital organisation operating in a complex, data rich environment. With strong investment in analytics and a modern technology approach, they are focused on building scalable processes that strengthen decision making across the business. You will join a collaborative team that partners closely with growth, marketing, and product stakeholders.

The Role
* Own company wide analytics processes and standards.
* Lead customer and insight analytics to support marketing and growth teams.
* Provide hands on technical expertise while offering guidance to others.
* Manage stakeholder expectations and deliver clear, actionable insights.

Your Skills and Experience
* Strong commercial experience in the gambling, gaming, or betting industry.
* Technically strong with SQL.
* Experience with Omni for BI is desirable.
* Proven ability to engage and influence stakeholders.

What They Offer
* £100000 to £120000 salary range.
* Flexible working and strong benefits package.
* Career progression within a scaling data function.

How to Apply
To apply, please contact River Steytler at

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Data Engineer

Hybrid: Birmingham

Salary: £45000 to £50000.

This is an exciting opportunity to step into a hands on Data Engineer role within an analytics team that is growing in both scope and influence. You will play a key part in stabilising and evolving a broad data environment while supporting a business that is increasing its digital footprint and analytical maturity.

The Company

They are an established manufacturer in the healthcare space with a strong reputation for product quality, research, and customer care. The organisation is scaling quickly, expanding internationally, and investing in data as a core enabler for decision making. The culture is collaborative and people focused, with a close knit feel, modern office space, and regular exposure to senior leadership. Their analytics function partners with sales, marketing, operations, and quality teams to provide insight across the business.

The Role

* Maintain and enhance core data pipelines across Azure.

* Manage nightly data ingestion from legacy operational systems into Azure SQL.

* Build and maintain integrations for CRM, NHS datasets, Google Analytics, and distributor reporting.

* Conduct web scraping using Python to support customer and market insight.

* Improve data architecture, addressing duplicated, inconsistent, or ad hoc datasets.

* Support analysts by ensuring reliable access to clean, accurate data.

* Work closely with IT on infrastructure and large data assets.

* Produce reporting inputs for sales, marketing, production planning, and quality teams.

* Build dashboards and support insight generation for stakeholders across the business.

Your Skills and Experience

* Strong commercial experience with Azure, Python and SQL.

* Confident managing and maintaining data pipelines in a production environment.

* Comfortable working with APIs and integrating third party data sources.

* Able to work hands on from day one and adapt within a mixed modern and legacy environment.

* Experience with any of the following is beneficial: Tableau, web scraping, CRM integrations, digital analytics, or working with large healthcare datasets.

How to Apply

If this sounds like the right next step for you, please apply with your CV and we will be in touch.

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Product Analyst

Hybrid – London (1-2 days per week)

£60,000 – £70,000 pro rata

3‑month fixed term contract with the possibility to extend

This is an exciting opportunity to join a fast‑growing, mission‑led organisation that uses data to improve the experience of millions of users. If you enjoy working with rich datasets, partnering with product teams, and turning insight into action, this role offers an immediate chance to make an impact.

The Company

They are a well‑established, fast‑moving organisation supporting a large and diverse membership base across the UK. With a strong focus on innovation and user experience, they are investing heavily in data to shape strategic decisions. You will join a collaborative environment where data, product, and engineering teams work closely to drive meaningful improvements.

The Role

* Deliver actionable insights that support product strategy and user experience.

* Explore data to uncover opportunities, build hypotheses, and support experimentation.

* Define metrics that matter and ensure consistency across teams.

* Build and maintain core data products for self‑serve insights.

* Present clear, compelling recommendations to stakeholders.

Your Skills and Experience

* Strong analytical capability using SQL and modern BI tools.

* Experience working with digital product data.

* Confident communicator skilled in data storytelling.

* Ability to translate business needs into analytical solutions.

What They Offer

* £60,000 to £70,000 pro rata.

* Hybrid working and a supportive, growth‑focused culture.

* Opportunity for contract extension based on business needs.

How to Apply

To register your interest, apply below or send your CV Please note we cannot offer sponsorship

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Director of Decision Science
London, hybrid working (3 days in office)
£120,000 – £150,000

The Company
They are a data‑driven FinTech who are growing well. With continued global expansion, investment in analytics and their models is a key priority and this role would allow you to lead from the front and create impact across the business.

The Role
* Lead end to end development of underwriting and acquisition models.
* Set modelling standards, quality controls, and documentation practices.
* Oversee deployment with MLops
* Work closely with engineering, product, commercial, and data teams.

Your Skills and Experience
* Strong hands on experience building models in Python.
* Background in credit risk, rating agency modelling, or customer behaviour modelling.
* Confident communicator with senior stakeholders.
* Leadership experience in technical teams.
* Experience with XGBoost or other boosting techniques.
* Knowledge of MLOps or R is a plus but not essential.

What They Offer
* £120,000 to £150,000 base salary.
* Bonus
* Share options.
* Hybrid working, three days per week in a London office.

How to Apply
If you are interested in this opportunity, please submit your application

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Product Analyst
Up to £85,000 + Bonus
Hybrid – London (2x days per week)

This is an exciting opportunity to join a fast‑growing digital organisation where data sits at the heart of every decision. You will play a pivotal role in shaping how product teams understand user behaviour, influence product strategy, and unlock opportunities that drive measurable impact.

The Company
They are a consumer-focused digital business committed to creating meaningful experiences for their members. With a mission-driven culture and a period of rapid expansion, they are investing heavily in data, analytics, and experimentation. Collaboration, innovation, and continuous learning are central to how they operate. They offer a flexible hybrid environment with a strong focus on development and wellbeing.

The Role
* Use quantitative analysis and data storytelling to uncover user behaviours and inform product strategy.
* Generate hypotheses, support experiments, and identify new opportunities.
* Define and maintain key product metrics, ensuring clarity and alignment across teams.
* Build dashboards and self-serve tools that empower stakeholders.
* Conduct deep-dive analyses to influence strategic decisions.
* Contribute to shared knowledge and promote best practices across data teams.

Your Skills and Experience
* Strong commercial experience in analytical roles within digital products.
* Proficient in SQL and analytical tools such as Python or R.
* Skilled in dashboarding with tools like Looker, Tableau, or similar.
* Confident translating complex data into actionable insight for varied audiences.
* Curious, collaborative, and proactive in solving problems.

What They Offer
Competitive salary, hybrid working, comprehensive benefits, generous leave, wellbeing support, and a culture that champions growth.

How to Apply
To register your interest, send your CV or apply below.

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