The Data And AI Podcast

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CREDIT RISK MODEL DEVELOPER

£65-75,000

LONDON – other locations available

This is an exciting opportunity to work with a data-driven consultancy who are well known in the financial services space.

THE COMPANY

This large consultancy business are looking for a strong candidate to join their credit risk team to work with a range of clients within the Financial Services space and more. This role offers the chance to work on a really diverse range of projects, from scorecard modelling to AI integration, and could really see you take your career to the next level.

THE ROLE

This role would see you work with a range of clients on projects including:

• Re-developing and enhancing statistical models, including but not limited scorecards, affordability models, forecasting models, to drive insight into the customer journey and enhance business performance
• Provide wider ad hoc analysis and insight into customer trends and monitor the ongoing performance of credit strategies and portfolios
• Working with external stakeholders and collaborating with businesses to communicate improvements and really make an impact

YOUR SKILLS AND EXPERIENCE

• Work with commercial/business lending is essential
• Experience in end-to-end model building (scorecards, affordability etc)
• Python experience
• Previous experience in end-to-end scorecard development is highly desirable
• Strong stakeholder communication ability

SALARY AND BENEFITS

• Up to £75,000 base salary
• Discretionary bonus
• Pension contribution scheme
• Excellent work culture
• Clear opportunities for progression within the company

To Apply for this Job Click Here

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Data Analytics Engineer

Salary: £83,000

Location: London (3 Days in Office)

Shape the future of data-driven decision-making by transforming raw information into trusted, insight-ready assets. Join a team where analytics engineering fuels innovation, intelligence, and impact across the business.

The Opportunity

This is an exciting opportunity to help shape the foundation of a modern, data-enabled organisation. You’ll design and build scalable analytics models and pipelines that transform raw data into trusted insights, powering smarter decisions across every level of the business.

Working at the intersection of data engineering and analytics, you’ll bring structure, governance, and innovation to complex data ecosystems. The role offers the chance to influence how data drives strategy, automation, and AI adoption. It’s a perfect fit for someone who’s passionate about clean design, collaboration, and the pursuit of data excellence.

Role and Responsibility

This role focuses on designing and maintaining scalable cloud infrastructure while driving automation and reliability across environments. You’ll leverage Terraform for Infrastructure as Code and Kubernetes for container orchestration, ensuring efficient deployments and robust system performance. Working within Azure, you’ll integrate advanced analytics platforms like Databricks and build data pipelines using Python and PySpark to support large-scale processing.

The position also involves optimising data models, delivering insights through Power BI, and managing relational data with SQL. Collaboration with engineering and analytics teams will be key to enhancing architecture, security, and reporting capabilities. This is an opportunity to shape infrastructure and data strategy while delivering high-impact solutions in a dynamic environment.

Interview Process

1. Introductory Chat
2. Technical and Stakeholder Conversation with Senior Team

Apply now to help shape the future of data-driven decision-making and make your mark in a truly analytics-led environment.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Analytics Engineer (SQL & DBT)

Up to £75,000 + Bonus + Benefits
Hybrid – London

A global tech business is growing its data function and is looking for a Senior Analytics Engineer to help shape a scalable, modern data environment used across multiple international teams. This is a high-impact role focused on building reliable data platforms, improving data quality, and enabling self-serve analytics across the organisation.

The Role:

• Develop and maintain high-quality data pipelines using dbt, moving data from bronze to gold layers.
• Apply Kimball methodologies to deliver clean, scalable data models.
• Implement data quality frameworks and testing strategies.
• Own the design of the semantic layer for BI tools such as Looker or Power BI.
• Promote self-service analytics and data literacy across the business.
• Act as an expert in SQL across technologies like Postgres, Cloud SQL, BigQuery, and Redshift.
• Build and orchestrate pipelines using Airflow.
• Support IaC and CI/CD best practices via GitHub.
• Work closely with data engineers, analysts, data scientists, and product teams.

About You:

• Strong experience building analytics-focused pipelines.
• Proficient with dbt, SQL, and cloud warehouse technologies.
• Knowledge of Kimball modelling and testing frameworks.
• Experience with Airflow or similar orchestrators.
• Understanding of IaC and CI/CD principles.
• Collaborative and comfortable working with cross-functional teams.

The client is looking to move quick, if you are interested in discussing please apply. To follow up please email or message me on LinkedIn.

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To Apply for this Job Click Here

Head of Digital

Hybrid – 4 days in Central London
Up to £80,000 + Bonus
Urgent Hire | High-Impact Role | Performance-Driven Team

THE COMPANY

This is a global organisation scaling fast, backed by significant investment and operating in a marketing-led, data-first model.

They’re restructuring digital from the ground up-bringing in top-tier talent, overhauling platforms, and investing in AI, CRM, CRO, and SEO to build out a world-class digital experience across their web infrastructure.

If you’re used to high performance, fast decisions, and real commercial ownership-this is your arena.

THE ROLE

As Head of Digital, you’ll own the strategy, performance, and roadmap of a newly centralised web platform (Drupal CMS), serving as the digital heartbeat of a multi-brand global business.

This isn’t just about keeping the lights on-this is your product. You’ll connect content, CRM, CRO, SEO, and AI innovation into one high-performing, scalable digital ecosystem.

Think:
End-to-end product leadership
AI experimentation with real budget
CRM + CRO integration
UX and conversion at the core
Global scale, local delivery

This is not a delivery or project role-it’s a strategic digital product position in a business that genuinely values performance, conversion, and measurable outcomes.

WHAT YOU’LL BE DOING

• Drive the product roadmap for a global digital platform (Drupal)
• Lead performance-focused UX, SEO, and CRO initiatives
• Connect CRM campaigns, enrolment journeys, and retention efforts into one seamless experience
• Experiment with and scale AI-powered tools across web and marketing ops
• Own uptime, security, scalability, and GDPR compliance
• Manage agency relationships and ensure ROI-driven output
• Work closely with data, performance, and content teams to continually optimise

YOUR EXPERIENCE

• Proven experience in digital product leadership (web/product/CRM/CRO/SEO)
• Can lead cross-functional teams without needing to be hands-on
• Commercial mindset-focused on performance, not just delivery
• You think like a product owner and act like a performance marketer
• Passionate about AI innovation (no need to be a technical expert)
• Bonus if you’ve worked in fast-growth, multi-brand, or PE-backed environments

WHAT’S IN IT FOR YOU?

✅ A product role with real strategic ownership
✅ Exposure to AI adoption and platform innovation
✅ Leadership visibility in a performance-led, marketing-first business
✅ Opportunity to make global impact from day one

Find out more and apply via the link below.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Analyst (Digital & Marketing Focus)

London – Hybrid (2 days in office, Tues & Thurs – Elephant & Castle)
Up to £50,000 + Benefits

The Company

Our client is a specialist digital and marketing analytics consultancy, established in 2016 and now recognised as a trusted partner for major asset managers and digital-first businesses. They help clients transform complex data into actionable insights that improve sales performance and optimise marketing ROI.

With a close-knit team of around 10, they combine cutting-edge analytics with strategic expertise. This is a fantastic opportunity to join a growing consultancy where your work will have real visibility and impact.

The Role

They are seeking a mid-level Data Analyst with strong technical skills and commercial awareness. This is a client-facing position where you’ll be responsible not just for the numbers, but for turning data into clear, strategic recommendations.

You’ll work directly with senior stakeholders, gain exposure to high-profile clients, and take on varied projects across digital and marketing analytics.

Responsibilities

• Extract, join, and transform datasets from multiple platforms (SQL, GA, marketing tools).

• Build and maintain dashboards and reports (Looker Studio, Tableau or equivalent).

• Apply statistical methods across attribution, MMM, LTV, churn, propensity and clustering models.

• Present insights and recommendations confidently to clients via Zoom and face-to-face.

• Support client strategy by identifying opportunities to optimise spend and improve ROI.

Candidate Profile

• 2-4 years’ experience in analytics (digital, marketing or consultancy background desirable).

• Strong SQL and Python skills, with a good grounding in statistics.

• Experience with Google Analytics or Adobe Analytics.

• Hands-on dashboarding experience (Looker Studio, Tableau or similar).

• Comfortable working directly with clients and explaining insights to non-technical stakeholders.

• 2:1 degree or above in a STEM or Social Sciences subject (or equivalent experience).

Package & Benefits

• Salary up to £50,000 (depending on experience).

• Hybrid working – 2 days in the office (Tues & Thurs, Elephant & Castle).

• 25 days holiday, state pension, profit share scheme.

• Direct exposure to senior leadership, with clear progression opportunities.

Interview Process

1. Introductory interview with senior team members.

2. Technical assessment (SQL + GA data integration & dashboard creation).

3. Final stage with leadership and chance to 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

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

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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.

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