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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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Analytics Manager

£100,000-£120,000 (DOE)
UK – Fully Remote
Reports to: Head of Data

The company

This is a fast‑growing, product‑led consumer technology business operating in the online betting and gaming space, far from a legacy operator and closer in feel to a modern fintech app. The platform is built with a focus on user experience, engineering excellence, and data‑driven decision making. Backed by strong funding and ambitious growth plans, analytics plays a core role here in shaping strategy, product direction, and commercial performance.

Where you fit

You’ll lead the Analytics function within a broader data organisation that’s scaling over the next 12 months. You’ll manage two analysts from day one, with scope to add BI/analytics headcount as the business grows. Your work will directly support senior stakeholders across Growth, Product, Trading, Commercial, and Finance, helping move the business from reactive reporting to proactive, self‑serve, insight‑driven decision making.

What you’ll be doing

• Lead and develop the analytics team; coach, review, and set a high bar for quality and clarity.
• Translate ambiguous business problems into clear analytical questions, robust metrics, and decision‑ready outputs.
• Act as a trusted analytics partner to senior stakeholders, guiding prioritisation and aligning initiatives with business goals.
• Establish and maintain best practices across definitions, documentation, testing, version control, and modelling standards.
• Work closely with Data Engineering on data availability, modelling boundaries, and long‑term scalability; balance pace with correctness.
• Drive adoption of self‑serve analytics and build consistent, trusted metrics across the organisation.

Must‑have experience

Industry experience (required):

• Experience in customer/commercial/product analytics in gambling, gaming, or online betting.

Stakeholder leadership:

• Excellent communication with non‑technical business leaders; confidence pushing back, influencing, and managing expectations effectively.

Team leadership:

• Experience managing analysts/analytics engineers; you set standards, review output, and elevate team capability.

Commercial & strategic impact:

• Evidence of delivering insights that drove meaningful outcomes – revenue, retention, risk reduction, product improvements – not just dashboards.

Technical (required):

• Advanced SQL and strong dashboarding experience (the business uses Omni, but Looker or other BI tools are absolutely fine).
• Ability to critique data models, BI approaches, and analytical outputs with a quality‑first mindset.

Why this role

• Real ownership: The Head of Data is stepping back from day‑to‑day; you’ll run analytics, shape standards, and be the strategic partner to the business.
• Impact over vanity: Help define trusted metrics, eliminate multiple versions of the truth, and drive better decisions at pace.
• Growth path: As the data team scales, there’s room to step into broader data leadership.

Compensation & working style

• £100,000-£120,000 base salary
• Fully remote (UK‑based) with flexible working
• Inclusive, modern culture with strong support for career development

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Data Analyst

London, hybrid 2 days in office, up to 50000

This is an excellent opportunity to join a growing data function where you will play a central role in shaping analysis, forecasting and insight for a fast paced, mission led organisation. If you enjoy variety, autonomy and real ownership, this position gives you the chance to influence campaigns, data quality and business decision making from day one.

The Company

They are an established agency working at the intersection of marketing, data and social impact. With a close knit data team and a highly collaborative culture, they deliver insight driven work that directly supports large scale programmes across the UK and Ireland. They operate in a fast moving environment where quality, accuracy and clarity of insight are essential. Their data team acts as a central hub for the business, supporting stakeholders with forecasting, CRM insight, reporting and ad hoc analysis.

The Role

* Act as a triage point for incoming data requests from across the business
* Analyse client provided data, often Excel based, to extract insight and support campaign planning
* Support forecasting projects including expected registrations, channel mix and campaign outcomes
* Work with relational databases and contribute to SQL driven analysis feeding into Power BI dashboards
* Ensure data accuracy, quality and consistency across all outputs
* Provide clear explanations of methodology and approach for high impact analyses
* Build confidence and credibility with internal teams and gradually increase client facing work
* Take ownership of workloads, deliver to deadlines and support key business decisions

Your Skills And Experience

* Strong commercial experience working with Excel including lookups, pivot tables and visualisation
* Confident SQL skills including joins, selection and manipulation of relational data
* Experience using Power BI to build dashboards and data visualisation
* Ability to work with CRM and customer datasets in a campaign or marketing context
* Strong analytical thinking with the ability to translate insight into clear narratives
* Comfortable working in fast paced, agency style environments
* Exposure to forecasting techniques or an interest in developing this capability
* Python or R experience is beneficial but not essential
* Familiarity with the UK education landscape or an understanding of how schools operate is advantageous
* Confident communicator who can explain methods and take ownership of decisions

What They Offer

* Salary up to 50000
* Hybrid working with a minimum of two days per week in their London office
* Opportunity to work in a growing data function with strong long term progression
* Impactful work with real influence on campaign strategy and business performance
* Supportive, collaborative culture with a strong focus on autonomy#

How To Apply

If this sounds like your next step, apply today to find out more.

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Research Manager, Analytics (4 days in office, Fridays WFH)
Up to £60,000, London
Series A-B B2B Research Tech Startup (~50 people)

We’re partnered with a fast-growing research technology startup using AI to transform how organisations understand people. The business combines advanced analytics with modern research methods to deliver deeper insights, faster and at significantly lower cost than traditional research approaches.

As the company launches a new AI-driven product, they’re hiring a Research Manager to take ownership of analytics and modelling across client research projects.

The Role

This is a hands-on role focused on pushing the boundaries of quantitative analytics within research. You’ll lead complex modelling work, set best practice for analytics, and independently deliver end-to-end research projects.

Key Responsibilities

• Own analytics workstreams across major research projects

• Deliver advanced analysis including segmentation, factor reduction and regression modelling

• Set standards and best practice for analytics and segmentation

• Automate repeat analytical tasks for trackers and long-running projects

• Run end-to-end research projects (primarily quant; some qual/mixed methods)

• Contribute to proposals and RFPs

About You

Essential

• 3+ years’ experience in analytics and/or research using survey data

• Hands-on experience with regression, factor analysis and segmentation techniques

• Strong data wrangling, cleaning and weighting skills

• Proficiency in R or Python for analysis and visualisation

• Curious, exploratory approach to finding insight in data

Nice to have

• Experience with Bayesian as well as frequentist methods

• Understanding of the full market research project lifecycle

Interview Process

• Screening questions

• Talent interview

• Hiring Manager interview

• In-person task (with opportunity to meet Founder & C-suite)

Find out more and apply via the link below.

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Lead Data Analyst

London Bridge hybrid, £65,000 plus benefits

A great opportunity to take on a strategic Lead Data Analyst role where you will work across experimentation, modelling and BI projects, while shaping long term data strategy and supporting complex digital marketing programmes.

The Company
They are a high growth data and performance consultancy combining analytics, data science and engineering to drive measurable, sustainable growth for well known brands. Their work spans digital marketing data, advanced measurement and predictive modelling, with strong access to client datasets and a culture centred on technical excellence.

The Role
* Lead analytical work across experimentation, causal inference and incrementality
* Build predictive models such as LTV, propensity and forecasting
* Deliver BI and reporting projects using cloud based data and dbt pipelines
* Work hands on with SQL and digital marketing data from Google and Meta
* Partner with data scientists to deploy models into advertising platforms
* Mentor analysts and contribute to technical development across the team

Your Skills And Experience

* Strong technical ability with SQL
* Experience using dbt for transformation and production data models
* Background working with digital marketing data and ad platform signals
* Exposure to BI and analytics projects using tools such as Looker or Tableau
* Understanding of experimentation, causal inference and incrementality
* Knowledge of MMM, LTV and propensity modelling
* Confident communicator who can collaborate with a range of stakeholders

What They Offer

* Up to £65,000 salary
* Hybrid working with one day per week at London Bridge
* Advanced analytics, modelling and measurement projects
* Strong progression opportunities in a growing data function

How To Apply
If this sounds like your next step, apply today to learn more.

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