To Apply for this Job Click Here

AI ENGINEER – FULL-STACK + GENAI

$115K – $130K BASE + BONUS

HYBRID – DALLAS-FORT WORTH METROPLEX

Are you looking to build real AI-enabled applications-not just models-and help modernize critical business systems used across a nationwide organization?

THE COMPANY

A leading operator in the single-family rental (SFR) housing market, this company manages tens of thousands of homes across 30+ U.S. metros. They’ve invested heavily in modern engineering, cloud technologies, and AI-driven platforms to streamline operations, support residents, and power large-scale field workflows.

They are launching a new AI Engineering initiative to rebuild and modernize key internal applications with automation, GenAI, and scalable cloud services.

THE ROLE

As an AI Engineer, you’ll be part of a full-stack engineering team responsible for building AI-enabled business applications that directly support leasing, maintenance, operations, and resident services.

You’ll work on modernizing a business-critical Salesforce system into a new platform (Palantir), adding automation and GenAI capabilities along the way.

Key responsibilities include:

• Building backend services and APIs using Python or Node.js/TypeScript
• Integrating GenAI and RAG-based features into internal applications
• Developing full-stack features within the company’s integration/UI platform
• Learning existing business processes and rebuilding workflows in a modern environment
• Working with engineering, data, platform, and business teams to define and ship AI features
• Delivering components and automation that support a large migration project (6-8 month cycles)

This is a highly visible engineering role with direct business impact-not an ML research or model-training position.

YOUR SKILLS AND EXPERIENCE

• Strong full-stack engineering experience (APIs + backend development)
• Proficiency in Python or Node.js/TypeScript
• Exposure to GenAI concepts such as LLM integration, RAG, embeddings, or vector search
• Ability to learn new technologies quickly and work across multiple teams
• Strong communication skills and a consultative mindset
• Comfort operating in ambiguous, fast-moving technical environments

Nice-to-haves:

• AWS experience
• SQL/NoSQL database experience
• Palantir or ontology-based platforms (not required-trainable)

THE BENEFITS

• $115k-$130k base salary + 10% bonus
• Hybrid schedule (3 days onsite, 2 days remote)
• Opportunity to work with modern AI tools + platform technologies
• Direct impact on high-visibility, business-critical systems
• Strong learning culture and clear runway for growth

If you want to build practical, impactful AI features inside real enterprise applications-not theoretical models-this role offers the perfect blend of engineering and innovation.

To Apply for this Job Click Here

To Apply for this Job Click Here

AI ENGINEER – FULL-STACK + GENAI

$115K – $130K BASE + BONUS

HYBRID – GREATER PHOENIX AREA

Are you looking to build real AI-enabled applications-not just models-and help modernize critical business systems used across a nationwide organization?

THE COMPANY

A leading operator in the single-family rental (SFR) housing market, this company manages tens of thousands of homes across 30+ U.S. metros. They’ve invested heavily in modern engineering, cloud technologies, and AI-driven platforms to streamline operations, support residents, and power large-scale field workflows.

They are launching a new AI Engineering initiative to rebuild and modernize key internal applications with automation, GenAI, and scalable cloud services.

THE ROLE

As an AI Engineer, you’ll be part of a full-stack engineering team responsible for building AI-enabled business applications that directly support leasing, maintenance, operations, and resident services.

You’ll work on modernizing a business-critical Salesforce system into a new platform (Palantir), adding automation and GenAI capabilities along the way.

Key responsibilities include:

• Building backend services and APIs using Python or Node.js/TypeScript
• Integrating GenAI and RAG-based features into internal applications
• Developing full-stack features within the company’s integration/UI platform
• Learning existing business processes and rebuilding workflows in a modern environment
• Working with engineering, data, platform, and business teams to define and ship AI features
• Delivering components and automation that support a large migration project (6-8 month cycles)

This is a highly visible engineering role with direct business impact-not an ML research or model-training position.

YOUR SKILLS AND EXPERIENCE

• Strong full-stack engineering experience (APIs + backend development)
• Proficiency in Python or Node.js/TypeScript
• Exposure to GenAI concepts such as LLM integration, RAG, embeddings, or vector search
• Ability to learn new technologies quickly and work across multiple teams
• Strong communication skills and a consultative mindset
• Comfort operating in ambiguous, fast-moving technical environments

Nice-to-haves:

• AWS experience
• SQL/NoSQL database experience
• Palantir or ontology-based platforms (not required-trainable)

THE BENEFITS

• $115k-$130k base salary + 10% bonus
• Hybrid schedule (3 days onsite, 2 days remote)
• Opportunity to work with modern AI tools + platform technologies
• Direct impact on high-visibility, business-critical systems
• Strong learning culture and clear runway for growth

If you want to build practical, impactful AI features inside real enterprise applications-not theoretical models-this role offers the perfect blend of engineering and innovation.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Full Stack Engineer

Location: Manchester

Salary: £60,000 – £80,000

About the Company

I am working with a growing renewable energy organisation who are looking to bring in a Senior Software Engineer.

You will work closely with the Infrastructure team, helping to improve processes, technical quality, and scalability across the platform. This is a customer and stakeholder-facing role, requiring strong communication skills alongside technical expertise.

Key Responsibilities

• Lead development initiatives with a focus on scalability and performance
• Mentor and support mid-level developers, improving team capability and standards
• Drive improvements in coding standards, documentation, and technical processes
• Collaborate with infrastructure and product stakeholders to deliver reliable systems
• Support ongoing migration to a more modern tech stack
• Contribute to CI/CD implementation and DevOps practices
• Enhance integration layers and support development of data platforms
• Participate in architectural discussions and long-term technical planning

Technical Environment

• Backend: PHP & Laravel (primary focus – approx. 80%)
• Frontend: Vue.js

Interview Process

1. Initial screening conversation
2. Introductory chat with senior technical stakeholders (may include discussion of GitHub or previous projects)
3. Technical interview

To Apply for this Job Click Here

To Apply for this Job Click Here

Product Analytics Manager

Up to £100,000

Remote

I’m working with a rapidly scaling, mission-driven consumer platform that provides exclusive benefits to frontline workers across the UK, with 4M+ members and major international expansion underway. Backed by PE and led by a world-class product leadership team, they’re now building out their analytics capability and looking for a Product Analytics Manager to take ownership of key product workstreams.

You’ll report into the Director of Data and lead a small team of experienced analysts, acting as the analytical partner to Product, Marketing, and Partnerships to shape how data drives decision-making across the business.

What You’ll Be Doing:

• Leading and developing a team of Senior Product Analysts + Insight Analyst
• Building clear product metrics, experimentation frameworks and dashboards
• Influencing senior non-technical stakeholders with clear, actionable insight
• Partnering with data engineering & data science to improve tooling and data quality

Skills and experience:

• Strong SQL and familiarity with product analytics tools (Amplitude, Mixpanel, etc.)
• Someone who brings analytical rigour + strategic thinking in equal measure
• Mentoring or light management experience (full line management not required)
• Strong experience in product analytics or insight in a digital/product-led environment

Please note we cannot offer sponsorship for this position

To Apply for this Job Click Here

To Apply for this Job Click Here

SENIOR IMPAIRMENT ANALYST

£85,000

LONDON

THE COMPANY

This award-winning FinTech is a leader in the lending space. They have consistently grown over the past few years and offer a fast-paced, dynamic environment at the forefront of the market. This role is an opportunity for someone to really challenge themselves within their career and drive impact in a business which can take your career to the next level.

THE ROLE

• Monthly reporting and wider provisioning for impairment models across the bank
• Understanding and analysing impairment impacts across the business and products
• Designing controls for the impairment calculation process
• Working closely with other teams in the business to drive insight and innovation

YOUR SKILLS AND EXPERIENCE

• Strong knowledge of impairment processes and IFRS9 regulations
• Essential to have had experience using SQL or Python
• Ideal to have had prior experience in IFRS9 model monitoring, implementation or similar
• Educated to at least degree level in a statistical degree

SALARY AND BENEFITS

• Up to £85,000 base salary
• Flexible working model
• Discretionary bonus
• Broad benefit scheme including medical cover

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Analyst
Up to £70,000 * Remote (London-Based)
Recruiting on behalf of a high-growth global tech company

We’re hiring a Senior Data Analyst for a fast-scaling international tech business with millions of active users worldwide. This is a fully remote role (London-based for time-zone alignment) and offers the chance to work across Marketing, Finance, Product, and Growth in a highly data-driven environment.

You’ll join a small but impactful central data team, owning end-to-end analytics projects and delivering insights that directly influence strategic decisions. This role is ideal for someone who enjoys autonomy, solving complex commercial problems, and working across large, behaviour-rich datasets.

What you’ll do

• Tackle business-critical analytics challenges – not pipeline engineering.

• Use SQL, Python, dbt, and a modern data warehouse (BigQuery or equivalent).

• Build BI models and dashboards (Looker/Power BI/Omni-style tools).

• Analyse marketing performance, ad spend, attribution signals, and customer behaviour.

• Support Finance with forecasting, reporting, and KPI modelling.

• Lead retention, churn, and behavioural insights work.

• Deliver projects end-to-end: scope → analyse → recommend → present.

• Drive new dashboards, models, and experimentation initiatives.

Ideal Profile

• 5+ years in commercial analytics, ideally with marketing or customer analytics exposure.

• Strong SQL skills with experience in dbt or similar modelling frameworks.

• Experience with modern cloud data warehouses (BigQuery, Snowflake, Redshift, etc.).

• Skilled in dashboarding tools (Looker, Power BI, etc.).

• Comfortable working with Marketing/User Acquisition teams.

• Understanding of advertising platform constraints (Meta, Google, mobile tracking).

• Excellent stakeholder communication and ability to work autonomously.

• Interest in data science concepts (e.g., LTV modelling).

Why apply?

• Fully remote, flexible working.

• Broad remit with real ownership and influence.

• Exposure to large-scale user behaviour data.

• Opportunities to develop toward Data Science if desired.

Find out more and apply via the link below.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Analyst – Dating App

Location: London (Hybrid)
Salary: £55,000 – £60,000

We are looking for a Senior Data Analyst to join our fast-growing dating product team. In this role, you’ll drive insights that directly shape product strategy, user experience, and feature development.

Key Responsibilities

• Own analysis of key dating funnel metrics (sign-ups, matches, retention, conversions).

• Build dashboards to track engagement and performance across markets.

• Design and analyse A/B tests to validate new product features.

• Provide clear insights that influence product, marketing, and leadership decisions.

Ideal Candidate

• 8+ years’ experience in data analytics, ideally in consumer apps or online platforms.

• Proficiency in SQL, Python, and BI tools (Tableau, Looker, Power BI).

• Experience working with subscription, engagement, or conversion funnel data.

• Strong communicator, able to present complex findings in simple, actionable ways.

Find out more and apply via the link below.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Commercial Data Analyst
Location: London (Hybrid, 1-2 days per week)
Salary: £42,700-£53,700 + annual bonus

A global media and entertainment business is looking for a Senior Commercial Data Analyst to own analytics within a cross-functional team. This role blends technical capability with commercial thinking, supporting senior stakeholders across multiple regions and business lines.

What You’ll Do:

• Act as the go-to data expert for commercial teams, partnering with finance, sales, marketing and strategy

• Build dashboards and reporting tools (Power BI or similar) and support the rollout of a new BI platform

• Translate complex data into actionable commercial recommendations across pricing, product and market performance

• Connect data from multiple systems (CRM, finance systems, web analytics, etc.) to create a single source of truth

• Analyse deal value, product performance, customer behaviour and digital/content trends

• Support budgeting, forecasting and wider commercial planning

• Build automated reporting and enable self-serve analytics across the business

Example Projects:

• Migrating legacy reports into a modern BI platform and improving reporting structures

• Analysing financial, customer and digital data to inform commercial strategy for new product or venue launches

• Implementing forecasting and predictive analytics within dashboards

• Supporting CRM and commercial system integrations and helping drive adoption across global teams

• Creating reporting frameworks from scratch to track market trends, revenue performance and customer engagement

What You’ll Need:

• 3-5 years’ experience in analytics or commercial insights

• Strong SQL skills; Python experience desirable

• Experience building dashboards in Power BI, Tableau or similar, with end-to-end ownership

• Strong understanding of relational data structures and data modelling

• Confident communicator able to translate data into commercial action for non-technical stakeholders

• Proactive, curious, and comfortable operating as the sole data specialist in a team

Ideal Backgrounds:
Digital, media, retail, FMCG, tech or similar, ideally from smaller or growing data teams.

Interview Process:

1. Initial conversation (CV anonymised)

2. Technical task

3. Task presentation to commercial stakeholders

4. Final interview with senior leadership

Find out more and apply via the link below.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Analytics Specialist – Digital Agency – £45-55k – x2 days a week in London

I’m working with a fast-growing digital agency that partners with leading brands across hospitality, travel, food & drink and entertainment. They’re now looking for an experienced Senior Analytics Specialist to join their performance team.

This is a great opportunity for someone who loves diving into data, setting up robust tracking frameworks, and turning insights into clear, actionable recommendations for clients.

The role:

• Lead on analytics setup and management, including GTM containers and GA4

• Implement analytics accounts, dashboards and reporting structures

• Analyse customer behaviour and campaign performance across multiple data sources

• Communicate insights clearly to internal teams and clients

• Line manage a remote analytics specialist and collaborate across departments

The ideal candidate:

• 5+ years’ analytics experience (agency background desirable)

• Hands-on experience with GA4, GTM and related tools

• Strong analytical mindset with excellent communication skills

• Confident presenting data insights to clients and stakeholders

Benefits:

• UK-remote working, with travel to London when required

• 25 days’ holiday + wellbeing budget

• Great agency culture with socials and team events

If you’re a proactive analytics professional looking for your next step in a creative, fast-moving environment, I’d love to hear from you.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Analyst – Customer Experience

£65,000 + 10% Bonus + Equity (Exit Expected in 1-2 Years)

Fully Remote (Quarterly meet-ups in London/Brighton – expensed)

We’re partnered with a high-growth, mission-led tech company in the subscription and marketplace space, backed by recent investment and valued at over $100M. They’re scaling fast, expanding their product and data capabilities, and preparing for an exciting exit event within the next couple of years – meaning the equity on offer has real value.

This is a key hire in a small but growing data team that’s helping the business become more data-driven, shaping how product and customer decisions are made. You’ll be joining a close-knit, passionate team that truly loves what they do and the community they’re building.

The Role

You’ll join as a Senior Data Analyst focused on Member / Customer Experience, working closely with Product, UX, and Engineering teams. Your work will directly impact metrics like churn, renewal rates, and lifetime value, driving insights that improve the customer journey from start to finish.

You’ll:

• Partner with product teams to run and analyse experiments and validate hypotheses.

• Use data to understand behaviours that drive renewals and retention.

• Deliver compelling storytelling and actionable insights that shape strategy.

• Help define what great data culture looks like across the business.

What We’re Looking For

• Advanced SQL skills.

• Proven experience in product and customer analytics – experimentation, churn/LTV/retention analysis.

• Background in subscription-based, marketplace or tech-driven environments.

• Confident communicator and self-starter, able to influence non-technical stakeholders.

• Experience with tools like Mode, Amplitude, DBT, Python or R is beneficial (not essential).

Why Apply?

• Equity with upcoming exit – real potential for payout in 1-2 years.

• Fully remote with a collaborative, friendly, pet-loving culture.

• Fast-growing environment with opportunities for personal and career growth.

• Be part of a team that’s building something meaningful and global.

Interview process:

• Stage 1: 30-min intro with hiring manager

• Stage 2: Case study + short live SQL exercise

• (Optional) Stage 3: Meet the wider team

Find out more and apply via the link below.

To Apply for this Job Click Here

To Apply for this Job Click Here

Job Title: Product Data Scientist – Hybrid – Up to £80,000

Location: London (Hybrid, 2 days p/w in office)

Salary: Up to £80,000 + benefits

Contract: Permanent

The Company

A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth.

The Role

As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact.

Key Responsibilities:

• Analyse user behaviour to uncover insights, identify pain points, and influence product direction.

• Design experiments and support a culture of testing, learning, and iteration.

• Define and align key business metrics, ensuring consistency and accuracy across teams.

• Build and maintain dashboards and tools to empower stakeholders with self-serve insights.

• Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations.

• Collaborate across functions to close data gaps and drive analytics best practice.

• Stay current on industry trends and champion innovative approaches to product data science.

The Candidate

• Proven experience in analytical roles, ideally within a digital-first or tech-led business.

• Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash).

• Ability to translate business challenges into clear analytical projects and recommendations.

• Strong data storytelling and presentation skills, with confidence engaging senior stakeholders.

• Curious, proactive, and detail-oriented problem solver.

• Team player with strong collaboration skills.

What’s on Offer

• Salary up to £80,000 + bonus

• Hybrid working (2 days per week in London office)

• Competitive annual leave package

• Pension scheme and healthcare support

• Employee discounts and perks

• Regular team socials and recognition initiatives

• Strong learning and development opportunities

Apply Now
If you’re an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

To Apply for this Job Click Here

To Apply for this Job Click Here

Analytics Manager

London (Hybrid – 2 days in office, Tuesdays required)
Up to £90,000 base salary

An established data and analytics provider within the FS and property sector is looking for an Analytics Manager to lead and deliver high-impact client-facing projects. Sitting at the intersection of data, product, and commercial teams, this role offers the opportunity to influence strategic decision-making across some of the UK’s most prominent banks and mortgage lenders.

You’ll manage a small team of analysts while staying close to delivery – combining technical expertise with business insight to shape how financial institutions use housing market data to drive smarter lending decisions.

Key Responsibilities

• Team Leadership: Mentor and support 2-3 analysts; oversee workload and ensure high-quality output

• Client-Facing Analytics: Present insights directly to clients, translating complex data into strategic value

• Cross-Functional Collaboration: Work with product, commercial, and presales teams to develop tailored solutions

• Strategic Thinking: Stay ahead of market trends and customer challenges to guide analytics direction

• Project Delivery: Lead the end-to-end delivery of analytics projects across multiple stakeholders and timelines

• Innovation Support: Help evolve the product set through insight-led thinking across financial services use cases

What We’re Looking For

• 5-7 years’ experience in analytics, ideally within financial services, credit risk, mortgages, or related sectors

• Proven experience mentoring or managing analysts (or strong readiness to step into a team lead role)

• Strong technical toolkit: SQL, Python, and Excel proficiency

• Skilled communicator – confident presenting to both technical and non-technical audiences

• Experience working with or alongside banks, lenders, or credit decisioning teams

• Highly numerate, creative problem solver with strong business acumen

Nice to Have

• Exposure to property, housing, or mortgage markets

• Experience in a fast-paced, collaborative environment

• Interest in combining product thinking with data analytics

• Ability to manage multiple projects and stakeholders

• Strong presentation skills and a curious, solutions-driven mindset

Why Apply?

• Strategic, visible role with direct impact on how financial clients use data

• Competitive salary up to £90,000

• Hybrid working – 2 days/week in the London office (Tuesdays required)

• Work within a high-calibre analytics team under supportive leadership

• Be part of a mission to simplify and modernise property data in financial decisioning

Interview Process

1. Initial interview (30-45 mins) – with Analytics Leadership

2. Task stage – demonstrate analytical thinking and communication

3. Final round – culture fit and stakeholder interaction
   One stage may take place in person at the London office (London Bridge), where possible

Ready to shape the future of data in property and financial services? Apply now to join a high-performing team that blends deep analytics with real-world impact.

To Apply for this Job Click Here