The Data And AI Podcast

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Overview

We are seeking a Senior Data Modeler to join a growing Enterprise Data & Analytics team. This is a newly created role focused on delivering high-impact analytics that directly support day-to-day business decision-making. The position plays a critical role in shaping dimensional data models, strengthening the data warehouse, and partnering closely with business stakeholders to translate requirements into scalable analytic solutions.

This is a hands-on individual contributor role that blends strong technical expertise with stakeholder engagement and business understanding.

Key Responsibilities

• Partner directly with business and domain stakeholders to gather, analyze, and clarify data and analytics requirements
• Translate business needs into dimensional data models and design artifacts
• Implement enhancements and changes within an existing enterprise data warehouse
• Build and maintain gold-layer data models to support reporting and dashboards
• Collaborate closely with data modeling peers and senior analytics leadership
• Participate in regular meetings across technical and business teams
• Support analytics consumption through well-structured, performant SQL models
• Contribute within an Agile delivery environment

Required Skills & Experience

• Strong experience with dimensional data modeling (Kimball methodology)
• Advanced SQL skills for analytics and data consumption
• Hands-on data warehouse development experience
• Experience implementing and enhancing enterprise-scale data models
• Ability to work directly with business stakeholders and translate needs into technical solutions
• Excellent verbal and written communication skills

Preferred / Nice-to-Have Skills

• Experience with Snowflake
• Experience with data integration tools such as Matillion
• Familiarity with Power BI or similar BI platforms
• Python experience (preferred but not required)
• Experience working in Agile development environments

Ideal Candidate Profile

• Background in data engineering, analytics engineering, or data modeling
• Comfortable being hands-on while collaborating across technical and business teams
• Independent thinker who enjoys solving complex business problems with data
• Highly driven, proactive, and adaptable
• Strong ability to articulate design decisions clearly and confidently

Education

• Bachelor’s degree in Computer Science or a related field (or equivalent professional experience)

Career Growth

This role offers clear growth opportunities over the next 2-3 years, with paths into:

• Deeper specialization as a business domain partner, or
• Broader technical progression toward a senior or architect-level role

Work Environment

• Hybrid work model
• Agile, collaborative team culture
• Opportunity to work across multiple domains and technologies

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Senior Data Scientist

London (Hybrid, 2 days per week) | £75,000 to £95,000 + bonus

This is a chance to take ownership of end-to-end machine learning products within a large-scale personalisation programme, where data science directly shapes customer experiences. You will work on production systems rather than proofs of concept, with clear visibility of impact across a highly engaged user base. The role combines technical depth, leadership, and close collaboration with product and engineering teams.

The Company

They are a well-established UK organisation operating at scale, with data and AI at the heart of their long-term strategy. The business is undergoing a significant AI transformation, embedding intelligence and personalisation into core products rather than treating data science as a support function. With a strong investment in modern platforms and partnerships, they offer a stable yet ambitious environment for senior data scientists.

The Role

• Own the full lifecycle of data science and machine learning products, from problem definition through to deployment and iteration
• Design, build, and maintain production-ready ML systems that drive personalised customer experiences
• Lead a small delivery pod, providing technical direction and mentoring to data scientists
• Translate ambiguous business problems into well-scoped, measurable data science initiatives
• Work closely with data engineering, software engineering, and product teams to ensure solutions are scalable and adopted
• Measure and optimise model performance and real-world impact, including engagement and behavioural outcomes
• Contribute to broader AI adoption and best practices across the organisation, including emerging generative AI use cases

Your Skills and Experience

• Strong commercial experience applying machine learning techniques such as regression and classification to real-world problems
• Advanced Python and SQL skills, with experience working across complex datasets
• Proven track record of delivering production machine learning solutions end to end
• Experience leading data science projects and guiding others through delivery
• Confident communicating with both technical and non-technical stakeholders
• Comfortable working in ambiguous environments and shaping solutions proactively

What They Offer

• Salary between £75,000 and £95,000 depending on experience
• Performance-related bonus paid twice yearly
• Hybrid working with two days per week in a London office
• Comprehensive benefits package including health, pension, and wellbeing support
• Clear opportunity to influence strategy, grow technical leadership skills, and work on high-impact AI initiatives

How to Apply

If this sounds like the perfect role, please apply below!

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Data Engineer

Location: New York Metro (Hybrid)

Pay: $150k – $200k base + bonus

About the Role & Company

This is an opportunity to join a highly technical, growth-focused investment organisation operating at the intersection of technology, data, and capital. The firm invests exclusively in technology and technology-enabled businesses and maintains a flat, meritocratic culture with strong emphasis on collaboration, trust, and engineering judgment.

The organisation is undergoing a significant data and AI transformation, building foundational infrastructure from the ground up to support investment decision-making, portfolio analysis, and automation. This role sits at the centre of that effort and works closely with investment professionals and senior technical leadership.

Responsibilities

• Build and maintain production-grade data pipelines across structured and unstructured data sources
• Organise and structure fragmented internal and external datasets into scalable, reliable systems
• Design and implement data architecture using modern cloud platforms (e.g., AWS, Snowflake)
• Enable downstream analytics and AI-driven workflows through high-quality data foundations
• Independently evaluate and select appropriate tools and technologies
• Support lightweight AI or agent-based workflows embedded within broader systems
• Partner closely with technical leadership and non-technical stakeholders to support real investment use cases
• Ensure data reliability, scalability, and maintainability across systems

Must-Have Qualifications

• 2-4 years of experience in data engineering or analytics engineering
• Strong proficiency in SQL and Python
• Hands-on experience building and maintaining production data pipelines
• Experience working with cloud data platforms Snowflake, AWS
• Solid understanding of data architecture and engineering trade-offs
• Ability to work independently with strong technical judgement

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Your primary focus will be to work with our proprietary and commercial datasets to find critical connections, derive actionable knowledge, and identify potential issues that help our government clients make more informed decisions. Your role will involve designing, developing, and rapidly deploying scalable AI solutions that transform these insights into mission-critical capabilities. You will have the opportunity to expand and grow data-driven research across our organization, leading new areas to apply advanced analytics to drive strategic business and national security results. As part of our team, you must be an AI expert with a strong command of data science fundamentals and a proven ability to bring data-driven solutions to life within the defense ecosystem.

Scope of Responsibilities

*Develop AI/ML/DS systems to address defense problems.

*Develop new AI-based stack of technologies for particular customer needs.

*Development of evaluation solutions for AI deployments.

*Lead the end-to-end execution of AI projects, ensuring alignment with strategic objectives and timely delivery.

*Work closely with partner teams, including AI research, data engineering, and software development, to deliver robust AI systems.

*Collaborate with the AI leadership to clearly define product and applications scope, translating high-level requirements into actionable technical plans and delivering AI platforms and solutions.

*Drive the development of scalable, AI-based platforms designed to support and power solutions for a diverse range of customers within the defense ecosystem.

*Champion the introduction of new AI innovations. Stay current with the rapidly evolving fields of Artificial Intelligence, Large Language Models (LLMs), and agentic systems, and actively transfer this knowledge and best practices for implementation across the team.

*Create agentic AI systems, using AI orchestrators and particular AI reasoning capabilities as tools.

Qualifications

*U.S. Citizenship is required

*Oversee the full lifecycle of AI projects within our AI ecosystem.

*Understanding of coding AI (such as Claude Code) and experience how to use it to scale up AI team deliveries

*Collaborate with cross-functional teams (AI Research, Data Engineering, Software Development).

*Define robust software architecture for AI systems and project roadmaps.

*Translate high-level AI system requirements into actionable technical plans.

*Deliver production-ready AI solutions integrated with clients data platforms and workflows.

*Drive the implementation of scalable AI/ML platforms.

*Maintain deep expertise in cutting-edge AI, including LLMs and agentic systems. Train models, build systems based on AI innovations

*Demonstrate strong National Security domain knowledge.

Desired Skills

*A strong publication record in the top conferences in one of the AI, ML NLP, decision science areas

*Deep knowledge of LLM and Agentic system evaluation, experience in building evaluation systems

*Experience in LLM posttraining or fine tuning

*Experience with MLOps practices, including deployment, monitoring, and management of large-scale models in cloud environments (e.g., GCP, AWS, Azure).

*Track record of successfully transitioning AI research prototypes into robust, production-grade enterprise solutions

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Data Engineer

up to £90,000 + Benefits
London (Hybrid)
This is a great opportunity to join a high‑growth adtech scale‑up where you can take ownership of large‑scale data infrastructure that directly powers machine learning, product intelligence, and customer ROI.

THE COMPANY

This is a UK‑based adtech SaaS platform that using machine learning and real‑time behavioural analytics to help brands optimise performance.

THE ROLE

Key responsibilities include:

• Designing, building, and maintaining batch and streaming data ingestion pipelines for high‑volume event data
• Improving and optimising the AWS Redshift data warehouse, including modelling, performance, and cost efficiency
• Refactoring poorly structured data into clean, well‑governed, ML‑friendly datasets
• Building pipelines to support ML workflows, feature stores, A/B testing, and experimentation
• Ingesting and integrating new and under‑utilised data sources
• Working on greenfield projects while scaling existing data infrastructure to billions of data points

YOUR SKILLS AND EXPERIENCE

You will bring strong capability in:

• Python and SQL
• AWS data infrastructure (S3, Redshift, Glue, Athena, Kinesis, Lambda)
• End‑to‑end ownership, from proof‑of‑concept through to production

THE BENEFITS

You will receive a salary of up to £90,000 depending on experience, along with a comprehensive benefits.

HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Senior Product Manager
Remote-first (UK based) | £105,000 + benefits

This is a rare opportunity to step into a senior, high-impact product role at a scaling, science-led technology business. You will shape the future of a complex AI-driven product used in pharmaceutical research, moving it from strong foundations to a more mature, commercially aligned product offering with a clear go-to-market strategy.

The Company
They are a venture-backed, Series A technology business operating at the intersection of life sciences, data science and artificial intelligence. Their platform applies AI and natural language processing to unlock insights from vast volumes of scientific data, supporting more efficient and informed drug discovery. The organisation is founder-led, mission-driven and entering an exciting phase of growth, with a highly experienced leadership team and a collaborative, ego-free culture.

The Role
As Senior Product Manager, you will take ownership of product strategy and roadmap definition, elevating product maturity and ensuring delivery of meaningful, real-world value for customers in pharmaceutical R and D. You will act as a senior voice within product, mentoring existing product managers while working closely with engineering, commercial and customer-facing teams.

Key responsibilities include:

• Owning and evolving the product strategy and roadmap, aligned to business and commercial objectives
• Refining product foundations, processes, tools and operating principles
• Translating complex customer needs into clear, prioritised product opportunities
• Partnering with engineering to connect product vision to technical delivery
• Bringing a strong go-to-market mindset to product development
• Tracking and optimising product performance against commercial KPIs
• Supporting the development of future product iterations and new market opportunities

Your Skills and Experience

• Strong end-to-end product management experience across the full product lifecycle
• Proven ability to define and execute product strategy in a complex technology environment
• Experience working with data, AI or advanced analytics products
• Commercially minded, with exposure to go-to-market planning and execution
• Comfortable operating in fast-paced, scaling environments
• Able to mentor and uplift other product managers without formal line management
• Excellent communication skills, with the ability to work effectively across technical and non-technical teams
• Exposure to life sciences, pharma, biotech or adjacent sectors is beneficial but not essential

What They Offer

• Salary of £105,000 plus benefits
• Share options and company performance bonus
• Enhanced maternity and paternity leave, plus strong sick leave provision
• Remote-first working across the UK
• Clear progression for someone aspiring to step into a Head of Product role
• The chance to work on genuinely meaningful technology alongside world-class scientists and engineers

How to Apply
If you are a Senior Product Manager looking to take ownership of strategy, influence company direction and work on cutting-edge AI products in life sciences, please apply.

To Apply for this Job Click Here

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Commercial Analyst

London, hybrid 2 days per week. £85,000 plus bonus and benefits

This is a rare opportunity to step into a brand new, senior commercial analytics role where you will set the direction for how insight is used across a growing consumer-facing business. Sitting close to senior leadership, you will own end to end analysis, influence marketing and commercial strategy, and have genuine impact from day one.

The Company
They are a fast-growing organisation operating in the live entertainment and ticketing space. The business works across multiple venues and channels, combining digital platforms with offline activity to reach a wide customer base. With ambitious growth plans across the UK, they are investing in data to better understand performance, customers, and marketing effectiveness.

The Role

• Act as the first dedicated analyst in the business, owning commercial and marketing insight end to end.
• Analyse performance across multiple channels to understand revenue drivers, attribution, and return on marketing spend.
• Evaluate customer behaviour, including acquisition, lifetime value, retention, and engagement.
• Tackle complex attribution challenges across online and offline activity, including direct mail campaigns.
• Translate data into clear, actionable insights for senior stakeholders, including the Commercial Director and CEO.
• Partner with engineers, developers, and BI teams to ensure data is well structured and insight is accessible.
• Help shape a more self-serve analytics environment through dashboards and reporting where appropriate.

Your Skills and Experience

• Strong commercial analytics experience, ideally within a consumer, marketing, or digital environment.
• Confident using SQL to interrogate and analyse complex datasets.
• Experience with Power BI or similar tools to support insight delivery.
• Solid understanding of marketing analytics, attribution, and customer behaviour.
• Comfortable working hands-on while influencing senior stakeholders.
• Able to communicate insights clearly and spot opportunities that drive commercial value.

What They Offer

• Salary up to £85,000 plus a 5 percent bonus.
• Private healthcare and a 5 percent pension contribution.
• Hybrid working with two days per week in a central London office.
• High visibility role with direct exposure to senior leadership and clear scope for growth as the function matures.

How to Apply

Apply now to find out more about this opportunity and how you could shape the future of commercial analytics in a growing business.

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Lead Analyst

London | Up to £100,000 plus equity

This is a senior individual contributor role where analytics directly influences product direction and commercial outcomes. You will play a key role in shaping personalisation within a highly data-led environment, working on complex customer journeys with clear ownership and visibility across the business.

The Company

They are a well-established, fast-growing digital business operating in a regulated consumer space. Known for their strong data culture and product-first mindset, they invest heavily in analytics to drive decision-making. The organisation is in a phase of international growth, with this role focused on a key expansion market. Teams are lean, collaborative, and operate to high standards.

The Role

• Drive personalisation across app and digital journeys to ensure customers see the most relevant products and experiences.
• Partner closely with product teams to define and deliver a long-term personalisation strategy.
• Use data to determine which products or messages to surface at different stages of the customer lifecycle.
• Collaborate with data science teams on recommendation systems and propensity models.
• Conduct funnel analysis to identify drop-offs and improve conversion and engagement.
• Lead and contribute to A/B testing and experimentation to measure uplift from product changes.
• Analyse and report on performance metrics including conversion rates, engagement, and customer behaviour.
• Work cross-functionally with product managers, engineers, and developers in a pod-style setup.

Your Skills & Experience

• Strong commercial analytics experience within a consumer or product-led environment.
• Advanced capability in SQL and Python, with Python central to analytical work.
• Experience with experimentation, A/B testing, and measuring product or feature impact.
• Exposure to propensity modelling, recommendation systems, or predictive analytics.
• Confident translating complex analysis into clear, actionable insights for stakeholders.
• Comfortable operating in a fast-paced environment with high expectations.

What They Offer

• Salary up to £100,000.
• Equity as part of the overall package.
• A high-impact role within a successful and growing organisation.
• Clear ownership, autonomy, and exposure to senior stakeholders.
• Hybrid working with Tuesday, Wednesday, and Thursday based in a London office.

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