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ANALYTICS ENGINEER (12-MONTH FTC)
REMOTE (UK BASED)
UP TO £90,000

This is a unique opportunity to step into a high-impact Analytics Engineer role within a purpose-driven organisation at a pivotal stage of its data journey. You will take ownership of critical data modelling work within a modern cloud environment, helping to stabilise and scale key data pipelines while contributing to meaningful, real-world outcomes.

ROLES AND RESPONSIBILITIES:
The Analytics Engineer will:

• Own and deliver in-flight data modelling projects, ensuring continuity and completion
• Design and maintain dbt models including fact tables, dimensions, and metric layers
• Support and optimisie critical data pipelines, particularly around billing and reporting workflows
• Collaborate closely with data engineers to manage data flows across the lakehouse architecture
• Review and improve SQL and dbt work produced by analysts
• Build new scalable data models and contributing to long-term platform development
• Work autonomously within a fast-moving, evolving data environment

Your Skills & Experience

• Strong hands-on experience with dbt and modern data modelling practices
• Advanced SQL capability with the ability to design efficient, scalable queries
• Experience working with Python within a cloud-based data platform
• Strong understanding of dimensional modelling and star schema design
• Exposure to modern lakehouse environments such as Databricks is beneficial
• Ability to work effectively in ambiguity and contribute in less structured environments
• Comfortable working autonomously within a small, high-impact team
• Experience in regulated environments or data governance-heavy organisations is advantageous

APPLY BELOW

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DATA MODELLER
LONDON/HYBRID
UP TO £65,000

This is an opportunity to shape data modelling and architecture capability within a modern cloud data environment. The role offers strong visibility across multiple projects, with a clear pathway into data architecture and the chance to influence standards and best practice across the organisation.

ROLES AND RESPONSIBILITIES:
The Data Modeller will:

• Design and develop conceptual, logical and physical data models for enterprise data platforms
• Apply dimensional modelling approaches such as Kimball or Data Vault to support analytics use cases
• Collaborate with data engineers, analysts and governance teams to ensure consistent data standards
• Support multiple projects and ensuring modelling best practices are embedded across delivery
• Contribute to the evolution of data architecture and helping define long term strategy
• Work within a modern cloud environment using tools such as Microsoft Fabric and Databricks

YOUR SKILLS AND EXPERIENCE:

The ideal candidate will have the following skills and experience:

• Strong commercial experience in data modelling across analytics or data platform environments
• Solid understanding of dimensional modelling techniques including Kimball or Data Vault
• Experience working in modern cloud data platforms, ideally within the Microsoft ecosystem or Azure
• Exposure to tools such as Sparx Enterprise Architect or similar modelling tools
• Familiarity with technologies such as DBT, PySpark or Python is beneficial
• Interest in progressing into a data architecture focused role
• Ability to engage with both technical and non technical stakeholders

APPLY BELOW!

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Are you a Product Analyst who loves understanding user behaviour, running experiments, and helping product teams build better digital experiences? I’m hiring for a Product Analyst role at a well‑established consumer platform offering discounts and perks to millions of UK users. The business is scaling internationally and evolving into a more tech‑led organisation, giving you massive data, real ownership, and exposure to strategic product work.

You’ll sit within the central Data function and partner closely with Product Managers to analyse user journeys, run A/B tests, and provide the insights that shape product decisions. This is a hands‑on, impact‑driven role in a modern data environment with huge opportunities to influence the product roadmap.

What you’ll be doing

• Apply quantitative analysis and storytelling to understand how users interact with the platform and what drives behaviour.
• Use data proactively to uncover opportunities, size problems, and generate hypotheses for testing.
• Design, run, and analyse A/B tests and experiments in partnership with product teams.
• Define and track meaningful product metrics; ensure consistent measurement across teams.
• Build and maintain core data products enabling self‑serve insights and faster product decisions.
• Conduct deep dives into user journeys, drop‑off points, behaviour segments, funnel performance, and platform trends.
• Collaborate cross‑functionally with engineers, data teams, product, commercial, and marketing stakeholders.
• Contribute to the Insights Hub and documentation repositories, keeping analytical knowledge up‑to‑date.

What you bring

Must‑haves:

• Strong SQL skills.
• 5+ years hands‑on experience with product analytics in a tech or consumer‑app environment, ideally companies like Monzo, Deliveroo, Just Eat, marketplaces, or membership/loyalty platforms.
• Experience running and evaluating A/B tests and experimentation frameworks.
• Ability to translate business problems into analytical tasks and communicate clear, actionable insights.
• Strong storytelling ability, turning numbers into narratives

Good to have:

• Experience working with large‑scale customer behaviour datasets.
• Experience in consumer tech, fintech, loyalty platforms, or other high‑traffic digital products.
• Python/R/dbt exposure (not required).

Industry background:
While open, the strongest fits tend to come from tech‑first consumer products where experimentation, app behaviour insights, and funnel optimisation are standard ways of working.

The culture & offer

• A modern, data‑mature environment with over four million UK users and expanding globally.
• A product‑led organisation investing heavily in experimentation and user behaviour analytics.
• Private equity backing driving international expansion and new capabilities.
• Salary up to £90k depending on experience.
• Offices in London and Leicester – 1-2 days a week

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Technical Program Manager (AI Transformation) – San Diego (Hybrid) – $250k/$350k + Bonus

I’m partnered with my client, a leading player in the financial services / lending space, who is scaling their AI capabilities to transform how they deliver credit solutions.

They are seeking a Technical Program Manager to lead execution across high-impact AI initiatives and drive modernization across their lending platform.

What You’ll Be Doing:

• Own delivery of AI-powered initiatives across underwriting, pre-underwriting, and sales workflows
• Build and manage end-to-end execution plans, including milestones and dependencies
• Collaborate with engineering and data teams on architecture and system integrations
• Ensure strong governance, auditability, and deployment processes
• Coordinate MLOps workflows, including model deployment and monitoring
• Act as the key liaison across technical and business stakeholders

What My Client Is Looking For:

• Proven experience in Technical Program Management (5-10 years)
• Track record delivering AI/ML systems or complex technical products
• Strong knowledge of cloud (Azure), APIs, and system integration
• Experience working with CRM platforms such as Salesforce
• Must have a financial services background (fintech, lending, or similar regulated environment)
• Strong problem-solving skills and ability to structure complex initiatives

Why Join:

• Join a business undergoing significant AI-led transformation
• Work on impactful initiatives improving customer experience and operational efficiency
• Collaborate with a forward-thinking team in a high-growth environment

If you’re interested in learning more, feel free to reach out directly.

Technical Program Manager (AI Transformation) – San Diego (Hybrid) – $250k/$350k + Bonus

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Technical Program Manager (AI Transformation) – San Francisco – $250k – $350k + Bonus

Technical Program Manager – AI Transformation | San Francisco (Hybrid)

I’m working with my client, a rapidly growing organization within financial services, who are investing heavily in AI-driven transformation across their lending platform.

They are looking for a Technical Program Manager (TPM) to play a key role in delivering end-to-end AI initiatives that modernize underwriting, sales, and core operational workflows.

What You’ll Be Doing:

• Drive execution of AI and machine learning programs from concept through production
• Translate business opportunities into structured technical delivery plans
• Partner closely with engineering, data science, and product teams
• Oversee system integration, architecture decisions, and delivery governance
• Lead coordination of AI model deployment, monitoring, and performance tracking
• Manage risks, dependencies, and rollout strategies in a regulated environment

What My Client Is Looking For:

• 5-10 years of experience in Technical Program Management or similar roles
• Strong experience delivering AI/ML or data-driven systems in production
• Expertise in APIs, cloud platforms (Azure preferred), and workflow orchestration
• Salesforce or CRM integration experience is highly desirable
• Financial services experience is essential (fintech, lending, or regulated industries)
• Ability to work across complex, cross-functional initiatives with strong stakeholder management

Why Join:

• Opportunity to shape a multi-year AI transformation strategy
• Work on cutting-edge systems driving automation and intelligent decisioning
• Be part of a high-impact team modernizing credit and lending operations

If you’re a technically strong TPM with a financial services background looking to work on meaningful AI transformation, I’d love to connect.

Technical Program Manager (AI Transformation) – San Francisco – $250k – $350k + Bonus

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Paid Media Manager (Performance Marketing)

Location: Long Island, NY (4 days onsite)
Salary: $63,000 – $147,000 (DOE + OTE)

Overview

We’re partnering with a high-growth marketing agency undergoing rapid expansion due to exceptional client demand. With significant hiring plans underway, the business is focused on building a best-in-class paid media function that emphasizes structure, ownership, and measurable performance improvement.

This role blends hands-on campaign execution with client management and strategic input, making it ideal for a commercially-minded paid media specialist who thrives in a fast-paced, evolving environment.

Key Responsibilities

• Plan, execute, and optimise paid media campaigns across:
  • Google Ads (Search, Shopping, YouTube)
  • Paid Social (Meta as a core channel)
  • Display and Programmatic (strategic oversight)
• Drive revenue performance, focusing on:
  • ROAS
  • CPA
  • Conversion growth
• Build and implement cross-channel strategies to ensure cohesive performance across platforms
• Analyse campaign data and translate insights into actionable improvements
• Manage and maintain strong relationships with clients, acting as a trusted performance partner
• Contribute to strategic direction while remaining hands-on in platforms
• Support a growing team environment, with opportunities to take on leadership responsibilities over time

Key Requirements

Must-have experience:

• 2+ years in paid media, with strength in:
  • Paid Social (preferred), and/or
  • Paid Search
• Recent hands-on experience in:
  • Google Ads
  • Meta Ads Manager
• Proven success in performance marketing, particularly within:
  • Ecommerce / D2C environments
  • Revenue optimisation (ROAS-driven campaigns)
• Experience managing monthly budgets of $100K+
• Strong understanding of paid media strategy (not just execution)
• Confident in client-facing responsibilities and stakeholder management
• Analytical mindset with the ability to interpret performance data and optimise accordingly

Nice to have:

• Exposure to or interest in leveraging AI tools within media buying workflows

Experience & Profile

• Ideal profile: 3-5 years’ experience in a Paid Media / Performance Marketing role
• Background could include:
  • Paid Media Manager
  • Account Manager (Performance-focused)
  • Senior Executive in a smaller agency or in-house team
• Demonstrated ownership of revenue outcomes, not just campaign delivery

Candidate Fit

We’re looking for individuals who:

• Balance strategy with hands-on execution
• Thrive in fast-paced, less structured environments
• Are commercially driven and results-focused
• Can confidently engage with clients and internal stakeholders

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Principal Data Scientist – GenAI & Personalization – Remote (US) | $190k-$220k + 15% bonus

My client is a large, mission-driven learning technology organization reinventing itself as an AI‑first platform. Generative AI, personalization, and data science are now at the core of how millions of students learn – and they’re hiring a Principal Data Scientist to lead from the front.

This is a true hands-on principal IC role: deep technical ownership, real influence, no line management.

Why this role stands out

• Own and shape a core AI capability – scope built around your strengths
• Work on customer-facing GenAI products used at massive scale
• Strong leadership air cover – minimal meetings, protected focus time
• High-visibility work with real-world impact in education

What you’ll do

• Design and build GenAI systems that translate education standards into structured learning objectives
• Improve AI-driven assessments, content generation, and personalization engines
• Apply rigorous statistics to messy human data – and make it production-ready
• Partner closely with engineering on deployment, testing, and optimization

What they’re looking for

• PhD in Statistics or a highly quantitative field
• Strong generative AI experience (personalization or content generation a big plus)
• Excellent Python and end-to-end ownership – research → production → impact
• Clear communicator who can influence both technical and non-technical teams
• 4-5 years post-PhD industry experience

Bonus points for: MLOps, AWS/Databricks, or education experience (not required)

Logistics

• Fully remote (US-based)
• US Citizen or Green Card only (no sponsorship)
• Core availability: 11am-5pm EST

If you want principal-level ownership, meaningful scale, and the chance to define how GenAI shows up in real learning products – this role is built for that.

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Staff Data Scientist (GTM) | EU Remote

I’m partnering with a fast-growing B2B SaaS company on a high-impact Staff Data Scientist hire within their GTM Data function.

This is a rare role where you’re not just building models – you’re shaping how a business understands its customers. You’ll own the full lifecycle from problem framing through to production, and have a genuine seat at the table with senior leadership.

‘ :

* Building LTV and churn models that drive retention, upsell, and cross-sell strategy

* Developing predictive expansion models tied directly to revenue outcomes

* Bringing causal inference and Marketing Mix Modelling thinking to strategic marketing decisions

* Coaching analysts and embedding best practices across the team

‘ :

* 6+ years in applied data science

* Strong ML chops – churn, segmentation, LTV modeling

* B2B SaaS background (strongly preferred)

* Python + SQL as core tools

* At least one ML model shipped to production

* Someone who connects technical work to business outcomes – not just a list of tools on a CV

:

* Your experience is purely MMM or econometrics

* You’re heavily focused on LLMs/RAG

* You prefer a heavily structured environment with lots of oversight

UK Citizens and EU Citizens only.

If this sounds like your next move – or someone you know – drop me a message or comment below. Happy to share more details confidentially.

#DataScience #MachineLearning #SaaS #Hiring #DataJobs #LTV #ChurnModeling #RemoteJobs

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Senior Analytics Engineer – Orange County, CA $150,000 – $200,000 + Equity

We’re partnering with a fast-growing, product-driven technology company that is building a modern, data-first organization. They’re looking for a Senior Analytics Engineer to play a critical role in shaping how data is modeled, transformed, and consumed across the business.

This is an opportunity to work at the intersection of data engineering and analytics, helping stakeholders make smarter, faster decisions by delivering clean, scalable, and reliable data models.

What You’ll Do

• Design and build scalable data models that power analytics, reporting, and product insights
• Transform raw data into high-quality, well-documented datasets using modern tooling (e.g., dbt, SQL, cloud warehouses)
• Partner with product, engineering, and business teams to define key metrics and data requirements
• Improve data quality, testing, and governance across the analytics layer
• Enable self-service analytics by creating clear, intuitive datasets and documentation
• Contribute to the overall data architecture and best practices

What We’re Looking For

• 5+ years of experience in analytics engineering, data engineering, or a related field
• Strong SQL skills and experience building data models in a modern warehouse (Snowflake, BigQuery, Redshift, etc.)
• Hands-on experience with dbt or similar transformation frameworks
• Strong understanding of data modeling concepts (dimensional modeling, star schemas, etc.)
• Experience working closely with cross-functional stakeholders
• Familiarity with BI tools (Looker, Tableau, or similar)
• A strong focus on data quality, testing, and maintainability

Nice to Have

• Experience with Python or other scripting languages
• Exposure to event-based data or product analytics
• Experience in high-growth or startup environments

Why Join?

• High-impact role with real ownership over the analytics layer
• Collaborative, data-driven culture
• Competitive compensation: $150K-$200K base + equity
• Opportunity to shape the future of data within a scaling organization

If you’re excited about building clean data models, enabling better decision-making, and working in a high-growth environment – this is a great opportunity to step into a highly visible role.

Feel free to reach out directly or apply here to learn more.

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