data & AI
Diversity Report

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VP of Data Science

Location: Atlanta, GA (in-office)

Onsite, 5x per week *please do not apply if you are not comfortable with this working arrangement

New opening for a VP of Data Science to lead and scale their in-house analytics capabilities. This is a high-impact role, driving advanced analytics, machine learning, and Generative AI across multiple portfolio brands to support smarter investment decisions and profitable growth.

The Role

• Lead the Data Science function: team development, technical direction, model standards, and project delivery.

• Define and execute the long-term vision for analytics, AI/ML, and GenAI across the organization.

• Build predictive, scalable, and production-ready models that directly influence commercial and operational outcomes.

• Partner with investment and portfolio teams to apply data science across consumer, retail, and multi-unit businesses.

• Recruit, mentor, and grow a high-performing team of data scientists and analytics professionals.

What You’ll Bring

• 10+ years applying data science to business decision-making, with strong experience in Python, SQL, and cloud platforms (GCP preferred).

• Proven ability to lead technical teams, manage multiple initiatives, and influence senior stakeholders.

• Deep expertise in statistical modeling, machine learning, causal inference, experiment design, and analytics infrastructure.

• Experience deploying repeatable models in production to deliver measurable business impact.

• Strong communication and business acumen; able to translate complex analytics into actionable insights.

Desirable

• MBA, Master’s, or PhD in a quantitative discipline.

• Experience with multi-brand organizations or consulting frameworks.

• Background in consumer, retail, or services sectors.

• Hands-on experience with MLOps, model lifecycle management, and GenAI productivity tools.

Why This Role is Exciting

• Lead enterprise-level analytics and AI across a diverse, high-performing portfolio.

• Build and scale a world-class Data Science function from strategy to execution.

• Work in a fast-paced, entrepreneurial environment with broad exposure to multiple brands and business challenges.

Eligibility: Must be authorized to work in the U.S. without sponsorship

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Senior Software Engineer, AI Product

$170,000-$210,000 + bonus & benefits

Remote – United States | Full-Time

About the Company

We’re a remote-first product and engineering organization building AI-native systems that fundamentally change how teams think, create, and make decisions together.This isn’t experimentation for novelty’s sake. We ship production AI that lives inside real workflows used daily by thousands of teams. Our focus is simple: amplify human creativity and clarity through intelligent systems that are reliable, explainable, and deeply integrated into the product experience.We operate at the intersection of applied ML, scalable infrastructure, and product craftsmanship – and we hold a high technical bar.

About the Role

We’re hiring a Senior Software Engineer, AI Product to lead the design and delivery of user-facing AI systems from 0→1 to scale. You will own the full lifecycle of applied AI systems – from model selection and experimentation through production deployment, monitoring, iteration, and long-term reliability. You’ll work directly with product and design to define where AI creates real leverage – then architect and ship those systems end-to-end. If you enjoy turning ambiguous product problems into structured ML systems that ship fast and scale cleanly, this role will stretch you.

Key Responsibilities

• Architect and productionize generative AI systems, including RAG, fine-tuning, and intelligent retrieval pipelines
• Translate ambiguous product challenges into measurable ML experiments and scalable engineering solutions
• Own model lifecycle management – evaluation, monitoring, iteration, and performance optimization
• Balance rapid iteration with production-grade reliability, observability, and cost-awareness
• Partner deeply with product and design to ensure AI capabilities are intuitive and high-impact
• Raise the technical bar across AI systems, architecture, and engineering standards
• Mentor engineers and influence long-term AI direction

Must Haves

• 5+ years of software engineering experience, including 2+ years building and shipping generative AI products
• Proven experience taking AI systems from idea → prototype → production → iteration
• Strong understanding of embeddings, retrieval architectures, and evaluation frameworks
• Experience navigating trade-offs between model quality, latency, cost, and reliability
• Comfort operating in ambiguity and leading 0→1 initiatives
• Strong written and verbal communication skills

Nice to Have

• Experience designing multi-year AI roadmaps
• Expertise in indexing, personalization systems, or NLP pipelines
• Advanced degree (Master’s or PhD) in ML, AI, Statistics, or related field
• Experience mentoring senior engineers in high-performance environments

Why Join

• Own meaningful, user-facing AI systems – not just experiments
• High autonomy and real influence over AI product direction
• Work on problems requiring both deep ML rigor and strong product intuition
• Remote-first environment with strong cross-functional collaboration
• Build AI that enhances how people think and collaborate

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Data Engineer

£40,000 – £50,000

Birmingham (Hybrid)

An opportunity to join a growing data function and take ownership of data engineering in a business that is scaling rapidly. You will work in a supportive, family-friendly culture where your work has a direct impact on every team, and where stability, collaboration, and autonomy are genuinely valued.

THE COMPANY

They are a long-established manufacturer within the healthcare sector, supplying specialist products used across the NHS and international markets. The organisation is growing quickly, expanding its digital presence, and increasing its analytics maturity. With a strong reputation, modern office space, and a culture that prioritises trust and development, they offer the chance to build long-lasting relationships across the business while influencing key data capabilities.

THE ROLE

As a Data Engineer, you can expect to be involved in the following:

• Maintain and develop core data pipelines across Azure.
• Manage nightly data transfers from a legacy system into Azure SQL.
• Build and support integrations for CRM data, NHS datasets, Google Analytics, and international reporting feeds.
• Carry out web scraping using Python and Selenium to support product and patient insight work.
• Improve data architecture and help remove duplicated datasets.
• Create and maintain APIs and new pipelines as the business scales.

SKILLS AND EXPERIENCE

The successful Data Engineer will have the following skills and experience:

• Strong commercial experience with Azure, Python, and SQL.
• Proven ability to build and maintain data pipelines.
• Experience working with APIs and integrating multiple data sources.
• Confidence working with legacy systems and non-modernised environments.
• Knowledge of web scraping techniques.
• Experience with Tableau, Apache, or digital analytics tools is beneficial but not essential.

BENEFITS

The successful Data Engineer will receive the following benefits:

• Salary between £40,000 – £50,000 – depending on experience.
• Hybrid working – 3 days a week in office.

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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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

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Fraud Advisory and Insights Senior Manager
London, hybrid
£76,000 to £95,000 per annum plus benefits.

The Company
They are a UK retail bank offering personal and business products across digital and traditional channels. The organisation is progressing through a multi‑year integration journey, creating new challenges and opportunities for strengthening fraud controls. The team sits within the first line, focusing on fraud prevention, insight, and regulatory alignment

The Role
* Lead a team delivering fraud advisory, insight, and regulatory engagement.
* Act as a key contact for regulators, preparing responses and representing the bank in meetings.
* Review products, changes, and customer journeys to identify fraud risk and recommend controls.
* Provide expertise across payments, cards, lending, applications, mobile, telephony, and mule activity.
* Support change programmes, ensuring risks are understood early and managed effectively.
* Shape MI, key indicators, and reporting improvements.

Your Skills and Experience
* Strong commercial experience in retail banking fraud risk.
* Broad knowledge across core fraud typologies and channels.
* Understanding of PSD2, APP fraud obligations, and payment regulation.
* Experience engaging with regulators and senior stakeholders.
* Able to lead specialist teams in a dynamic, evolving environment.
* UK experience required.

What They Offer
* £76,000 to £95,000 depending on experience.
* Comprehensive benefits package including pension and healthcare.
* FTC role supporting a high‑profile integration programme.
* Hybrid working (no remote‑only contracts).

How to Apply
If this sounds like a good fit, apply now.

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Lead Data Engineer – Gambling Sector (No Sponsorship)

Salary: £125,000

Location: Remote (London Office)

This is an opportunity to step into a hands‑on leadership role where you will shape a modern data function, influence technical direction, and build high‑impact data infrastructure from the ground up. If you enjoy ownership, technical depth, and working in a product‑driven, fast‑moving environment, this role will appeal.

The Company
They are a rapidly scaling consumer technology business backed by significant recent investment. Their platform is built around a modern, intuitive user experience and serves a large, engaged customer base across the UK. With strong growth, a clear product vision, and a collaborative engineering culture, they offer the chance to directly influence how data powers the next phase of their evolution. The business values responsible innovation, high technical standards, and a genuine passion for building great digital products.

The Role
As Lead Data Engineer, you will contribute to both technical strategy and delivery while mentoring and supporting engineers. You will:

• Build and scale core ETL pipelines and data ingestion workflows.
• Design and maintain data models that enable analytics and operational insight.
• Evolve the data platform to ensure reliability, performance, and scalability.
• Lead engineering best practices across testing, orchestration, versioning, and automation.
• Contribute to architectural design, including cloud infrastructure and tooling decisions.
• Collaborate with data leaders and product stakeholders to deliver high‑quality data solutions.
• Support recruitment and help shape the future structure of the data engineering team.

Your Skills and Experience
You will bring:

• Strong commercial experience in Python and SQL.
• Expertise in GCP and a modern data warehouse such as Snowflake, Redshift, or BigQuery.
• Experience building and maintaining ETL pipelines and data models.
• Knowledge of orchestration tools such as Airflow or Dagster.
• Infrastructure‑as‑code experience such as Terraform or similar.
• A background working in smaller, high‑growth companies or strong engineering‑led environments.
• The ability to mentor engineers and uphold high technical standards.

What They Offer

• Comprehensive benefits package including health cover, flexible working, and home‑office support.
• The opportunity to join a high‑investment, product‑focused organisation where data is a core function.
• Clear progression, ongoing learning opportunities, and the chance to influence team growth.

How to Apply
If this sounds like the right next step for you, please apply with your CV now!

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SENIOR FRAUD MANAGER- ADVISORY AND INSIGHTS – 12 MONTH FTC

UK- VARIOUS LOCATIONS & HYBRID

UP TO £95,000

I’m working on a fantastic opportunity with a leading UK retail banking organisation looking for a Senior Fraud Advisory & Insights Manager to join their Economic Crime team during an exciting period of integration and transformation.

THE ROLE

• Act as the fraud SME across change and transformation programmes
• Attend control boards and ensure fraud risks are designed out of customer journeys early
• Support payment supplier and platform change governance
• Lead engagement with regulators including FCA / PSR
• Support responses to regulatory requests and findings
• Conduct gap analysis following regulatory feedback and industry developments
• Provide guidance on Consumer Duty, PSD2 and payment regulation compliance
• Provide subject matter expertise across all fraud typologies and customer channels
• Support development of fraud MI, KPIs and reporting automation

REQUIREMENTS

• Strong UK retail banking fraud experience (essential)
• Broad fraud knowledge across cards, payments, lending, digital and mule risk
• Regulatory exposure (FCA / PSR / payment scheme knowledge)
• Experience influencing senior stakeholders
• Strong MI / data storytelling capability (Power BI desirable)
• Ability to operate in a fast-paced, less structured environment

HOW TO APPLY

Please send CV or apply below

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