The Data And AI Podcast

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Senior Data Engineer

£70,000-£90,000

Manchester (Hybrid)

This is an exciting opportunity to join a growing tech scale‑up where data is at the heart of their product. You will play a key role in shaping their data infrastructure, enabling large‑scale machine learning and real‑time analytics that directly impact their customers.

THE COMPANY

They are a high‑growth SaaS organisation operating in the digital advertising space. Their platform helps customers optimise performance through advanced analytics, real‑time behavioural insights and machine learning. With a collaborative engineering culture and strong investment backing, they are building scalable data systems to support rapid product expansion.

THE ROLE

As a Data Engineer you will take ownership of the company’s core data pipelines, transforming large‑scale event data into reliable, ML‑ready datasets that power real‑time decisioning and analytics across the business.

Specifically, you can expect to be involved in the following:

• Design and manage data ingestion pipelines that feed into their cloud data warehouse.
• Build and maintain pipelines that prepare data for machine learning and analytics use cases.
• Restructure/improve existing datasets to ensure they are reliable, performant and ML‑ready.
• Work closely with Data Science and Platform Engineering to productionise models and improve data foundations.
• Proven ability to work with high‑volume event data at scale.

SKILLS AND EXPERIENCE

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

• Strong commercial experience in Python, SQL and cloud‑based data engineering.
• Hands‑on experience with AWS services such as Redshift, Athena, S3, Glue and ideally Kinesis.
• Understanding of streaming data, system performance and cost‑efficient architecture.
• A proactive mindset with the confidence to identify and solve problems independently.

BENEFITS

The successful Data Engineer will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience.
• Competitive benefits.

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 Data Scientist

Manchester (2 days on site)

A high‑growth SaaS scale‑up is hiring a Senior Data Scientist to build their first production AI capabilities. You will work end to end across ideation, prototyping, and deployment, shaping how customers detect fraud, block invalid traffic, and optimise real‑time behavioural analytics.

The Company

They are a rapidly scaling SaaS business specialising in privacy‑compliant, cookieless analytics.

They process billions of data rows weekly to prevent wasteful and fraudulent traffic.

Their platform uniquely combines real‑time behaviour modelling, fraud detection, and optimisation.

The Role

* Deliver full lifecycle AI and ML projects from prototype to production.

* Build applied AI workflows including LLMs, NLP, and RAG‑based solutions.

* Work with large and messy tabular datasets to create high‑impact models.

* Develop classification and optimisation approaches to enhance customer outcomes.

* Partner with Product and Engineering to integrate models into the platform.

* Lead the transition toward a more AI‑driven product ecosystem.

Your Skills and Experience

* Strong commercial experience deploying AI and ML systems into production.

* Hands‑on experience with LLMs, NLP, or retrieval‑augmented workflows.

* Confident working with large‑scale tabular datasets and complex data environments.

* Cloud experience, ideally AWS, plus familiarity with MLOps practices.

* Background in product‑focused environments or consultancy.

* Ability to evidence measurable business impact from previous technical projects.

What They Offer

* Hybrid working with two office days weekly.

* High levels of ownership across AI strategy and delivery.

* Opportunity to build the company’s first production AI systems.

* Collaborative culture within a scaling SaaS environment.

* Clear progression as the AI function grows.

How to Apply

To register your interest, please apply with your CV.

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Senior Data Scientist

London
£70,000 to £90,000 plus benefits

This is an exciting opportunity to join a high‑growth tech business where data science sits at the heart of product innovation. You will shape new AI‑driven capabilities, work with cutting‑edge machine learning, and help transform how customers understand and prevent complex digital challenges.

The Company

They are a fast‑scaling SaaS organisation operating at the intersection of AI, machine learning, and real‑time behavioural data. Their platform processes billions of events daily and solves technically challenging problems in a rapidly evolving domain. With data science embedded into their core product, this team plays a critical role in defining the next generation of their offering.

The Role

• Lead the end‑to‑end development of new ML and AI capabilities, from rapid prototyping through to production deployment.
• Build MVPs and collaborate closely with Engineering and Product teams to bring ideas to life.
• Apply advanced machine learning and LLM techniques, including RAG, agents and NLP, where they drive meaningful customer and product impact.
• Work with large‑scale datasets in cloud environments to deliver robust, scalable systems.
• Contribute to product strategy through strong experimentation, technical insight, and pragmatic decision‑making.

Your Skills and Experience

• Strong experience delivering production‑grade ML systems end to end.
• Proficiency in Python and SQL, with experience working on cloud‑scale datasets.
• Practical experience with LLMs and applied AI, such as RAG, agents, or NLP.
• Experience building customer‑facing or product‑centric ML systems.
• A product‑focused mindset, balancing experimentation with real‑world value.

Useful additional experience includes:

• AWS or GCP environments (SageMaker, Bedrock, Lambda, S3, Redshift).
• MLOps practices (monitoring, deployment, optimisation).
• Working with streaming data, transformer models or recommendation systems.

What They Offer

• £70,000 to £90,000 salary.
• Hybrid working with two days onsite.
• 35 days annual leave including bank holidays.
• £500 annual wellbeing budget.
• Up to £1,500 home office setup budget.
• Company pension contribution at 3 percent.

How to Apply

If you are interested in this Senior Data Scientist opportunity, please apply with your CV or email me at

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SENIOR DATA ANALYST (MARKETING)
£65,000-70,000 + 10% BONUS + BENEFITS
WHITE CITY (4 DAYS PER WEEK)

THE COMPANY

This is an exciting opportunity to join a global data-driven marketing and technology business operating at the forefront of digital media and customer analytics. The company partners with major consumer brands to optimise marketing performance through advanced data, audience targeting, and campaign measurement.

THE ROLE

As a Senior Data Analyst (Marketing), you will sit within a high-performing analytics team, working closely with clients to deliver insight and drive marketing effectiveness. This is a highly client-facing role with a strong mix of hands-on analysis and strategic input.

Key responsibilities include:

• Working directly with clients to understand campaign objectives and deliver actionable insights
• Analysing large-scale customer and campaign data to assess performance and identify opportunities
• Supporting conversations around marketing effectiveness, including MMM and econometric approaches
• Interpreting results from campaigns and advising on optimisation strategies
• Collaborating with internal teams across media, product, and account management
• Supporting broader analytical projects such as customer segmentation, LTV, and behavioural analysis

YOUR SKILLS AND EXPERIENCE

• Strong experience in data/marketing analytics (5+ years preferred)
• Good understanding of MMM/econometrics principles and statistical concepts (e.g. RCTs, uncertainty)
• Experience working with SQL and a BI tool (Tableau or similar)
• Ability to translate complex analysis into clear, client-friendly insights
• Experience in a client-facing or agency environment is beneficial
• Strong stakeholder management and communication skills

BENEFITS

Salary up to £70,000 with a 10% bonus, alongside a strong benefits package. This is a great opportunity to join a collaborative, high-impact team with strong exposure to senior stakeholders and cutting-edge marketing analytics work.

HOW TO APPLY

Please register your interest by sending your CV to Dylan Butcher via the Apply link on this page.

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To Apply for this Job Click Here

Data Engineer

UK, Fully Remote, £65,000 to £70,000

This is an opportunity to join a fast-growing digital marketplace at a pivotal stage in its data journey. The business is investing heavily in its data platform and is looking for a Data Engineer to take ownership of a modern stack, bridge technical and commercial needs, and play a key role in shaping how data is used across the organisation.

The Company

They are a VC-backed technology business operating a two-sided online marketplace within the education sector. With strong growth and an expanding customer base, data has become central to improving acquisition, understanding user journeys, and delivering clearer commercial insight. The data function is still maturing, offering a rare chance to influence foundations, standards, and ways of working from an early stage.

The Role

You will be the first key Data Engineer hired in a new phase of the data team, taking ownership of an existing cloud-based data platform following a consultant handover. Working closely with analytics and senior stakeholders, you will help turn fragmented data into reliable, actionable insight.

Responsibilities include:

• Owning and developing the data platform on GCP, ensuring reliability and scalability
• Building and maintaining robust ingestion pipelines using modern ELT tools
• Designing and maintaining high-quality data models to support analytics and self-serve BI
• Partnering with BI and commercial teams to translate business needs into technical solutions
• Supporting data governance, testing, and documentation across the warehouse
• Contributing to ongoing platform improvements, including automation and AI-enabled tooling

Your Skills & Experience

• Strong data engineering fundamentals within a modern cloud data stack
• Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar
• Solid data modelling capability for analytics and reporting use cases
• Hands-on experience with infrastructure as code, particularly Terraform
• Comfortable working in scaling environments with evolving data maturity
• Able to communicate clearly with both technical and non-technical stakeholders
• An interest in automation, AI, or improving engineering workflows is beneficial

What They Offer

• High autonomy and the chance to shape a growing data platform
• Clear scope for progression as the data function expands
• Support from an established DevOps and engineering team

How to Apply

If you are a Data Engineer looking to own a modern data stack and make a tangible impact in a growing tech business, apply now to learn more.

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Head of Analytics (FS)
London (on-site 3 days per week)
£90,000 to £160,000 – dependent on level

This is a senior leadership role at the centre of an organisation-wide shift towards insight-led decision-making and AI-enabled analytics. You will shape how analytics operates as a shared service, influencing strategy while remaining hands-on.

The Company
They are a data-driven organisation undergoing significant transformation across analytics, reporting, and decisioning. With a strong commercial focus, they are investing in modern data platforms, automation, and AI to improve how insight is generated and used. Analytics plays a critical role in supporting growth and executive decision-making.

The Role

• Lead a centralised Analytics and MI function operating as a shared service
• Balance strategic leadership with hands-on analytics delivery
• Move the function from reporting to actionable, commercial insight
• Embed AI tools and automation into analytics workflows
• Oversee scalable data, reporting, and governance foundations
• Line manage decisioning capability and oversee platform migration
• Influence senior stakeholders across Finance, Marketing, and leadership teams

Your Skills and Experience

• Strong leadership experience within analytics or MI functions
• Proven ability to turn data into clear commercial recommendations
• Confidence influencing senior stakeholders, including C-suite
• Hands-on capability with SQL and ideally Python
• Experience with modern data stacks and BI tools
• Practical exposure to AI tools within analytics environments

What They Offer

• Salary of £90,000 to £160,000
• Bonus
• Private health insurance
• Pension scheme
• 25 days holiday
• High visibility role with significant influence and progression

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