The Data And AI Podcast

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Lead Data Scientist

England
£450-£480 Outside IR35
Remote

The Company
They are a specialist organisation working at the forefront of AI-driven customer engagement. Their focus is on enabling highly personalised, real-time decisions across digital channels using advanced analytics and machine learning. The business combines deep domain expertise with strong delivery capability, supporting enterprise clients across multiple sectors.

The Role and Deliverables
You will take ownership of end-to-end data science delivery, from problem definition through to deployment in live environments.
* Design, build, and deploy machine learning models within Pega-based decisioning platforms.
* Lead model development across feature engineering, training, validation, and ongoing performance monitoring.
* Work closely with application and logic developers to embed models into operational decision workflows.
* Develop statistical and machine learning models for personalisation, propensity scoring, and next-best-action use cases.
* Design and run experiments, including A/B testing, to quantify business impact.
* Provide technical leadership and mentoring to other data scientists, while engaging confidently with client stakeholders.

Your Skills and Experience
* Strong experience delivering data science solutions in client-facing or consulting environments.
* Advanced capability in Python and or R, with hands-on use of modern machine learning libraries.
* Deep understanding of statistical modelling, experimentation, and model evaluation techniques.
* Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure.
* Proven ability to communicate complex technical concepts to non-technical audiences.
* Experience with Pega Customer Decision Hub and Adaptive Decision Manager in production environments is highly desirable.
* Exposure to real-time decisioning, customer engagement, or personalisation use cases is advantageous.
* Familiarity with MLOps practices and model monitoring frameworks is beneficial.

How to Apply
If you are looking for a senior data science role where you can combine technical depth with real client impact, apply now to learn more.

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MLOps Platform Manager (Palantir)
London

Rate: £550-£650 Outside IR35 Per Day

Work Type: Fully remote

Start: ASAP

The Company

They are a well established organisation with a strong enterprise data estate and a clear commitment to using data and AI responsibly at scale. The business operates in a complex environment where reliability, security and governance are essential. Data, analytics and machine learning teams work closely together, supported by a central platform function focused on operational excellence.

The Role and Deliverables

• Own the day to day operation of Palantir platforms and associated MLOps services, ensuring availability, performance and a strong user experience.
• Establish and run service management processes including incident, problem and change management, supported by clear documentation and runbooks.
• Define and embed standard MLOps patterns covering model development, deployment, monitoring and lifecycle governance.
• Lead platform releases and upgrades, including planning, testing, communication and rollback where required.
• Implement and maintain security, risk and compliance controls for data and machine learning workloads.
• Manage the platform roadmap, cost optimisation activities and key supplier relationships.

Your Skills & Experience

• Strong experience operating Palantir platforms in production, or comparable enterprise data platforms, with ownership of platform operations.
• Proven capability delivering MLOps practices end to end, including CI/CD, automation, monitoring and model governance.
• Experience working closely with security, risk and governance teams to evidence controls and support audits.
• Confident stakeholder management skills, able to balance delivery speed, cost and risk across technical and non technical teams.
• A service owner mindset with a focus on stability, continuous improvement and enabling delivery teams.

How to Apply
Apply now to discuss this contract opportunity and how it could align with your experience.

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MLOps Platform Manager (Databricks)
London

£550-£650 Outside IR35 Per Day

Fully Remote

Start date: ASAP

The Company

They are a large, complex organisation with a strong focus on data, analytics and AI to support business critical decision making. The business operates at enterprise scale, with a mature data platform estate and a growing demand for robust, well governed MLOps capabilities. Collaboration, operational excellence and responsible use of data and AI sit at the heart of how they work.

The Role and Deliverables

Own the day to day operation of the Databricks platform and associated MLOps services, ensuring availability, performance and stability.

Establish and run service management processes including incident, problem and change management, with clear documentation and escalation paths.
Define and deliver standardised MLOps patterns covering model development, deployment, monitoring and lifecycle governance.
Lead platform releases and upgrades, including planning, testing and communication to stakeholders.
Implement and maintain security, risk and compliance controls across data and machine learning workloads.
Manage platform roadmap, cost optimisation and supplier relationships to maximise value and developer experience.

Your Skills and Experience

Strong experience operating Databricks in production, including workspace administration, cluster policies, jobs and data governance controls.
Proven capability delivering MLOps practices end to end, from CI/CD and automation through to model monitoring and observability.
Experience owning platform operations and service management in a complex, enterprise environment.
Confidence working with security, risk and governance stakeholders to evidence controls and support audits.
Ability to engage and influence across data engineering, data science and analytics teams, balancing speed, cost and risk.

How to Apply:

If this contract sounds like a good fit for your experience and interests, please apply to find out more.

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QLIKVIEW CONSULTANT

HYBRID ROLE (1 DAY PER WEEK IN OFFICE)

OFFICES IN COVENTRY AND LONDON

INSIDE IR35

£500 P/D

6 MONTH CONTRACT WITH OPPORTUNITY OF EXTENSION

The Company
They are a UK‑headquartered commercial property company that owns, develops, and rents warehouses and factories to major national and international organisations. Their portfolio supports large‑scale logistics, manufacturing, and distribution operations across the UK and Europe.

The Role and Deliverable
* Take ownership of the legacy QlikView platform, ensuring it remains stable and reliable for business‑critical reporting
* Improve and maintain existing QlikView reports, addressing inconsistencies, technical debt, and poor data quality
* Project manage demand across a messy reporting landscape, prioritising fixes and enhancements with the business
* Act as the main interface between stakeholders and third‑party suppliers, translating requirements into delivery
* Challenge supplier solutions and ways of working to ensure they are pragmatic and fit for purpose
* Support planning for the eventual decommissioning or migration of QlikView as part of a broader Microsoft‑centric strategy

Your Skills & Experience
* Strong hands‑on experience with QlikView development and platform management
* Proven ability to work within legacy environments and bring order to complex or poorly structured data
* Confidence engaging with non‑technical stakeholders to understand reporting needs and pain points
* Experience project managing reporting workstreams and coordinating third‑party suppliers
* Solid understanding of SQL and wider data and reporting architectures

Please apply here or send your CV

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Location: London or Coventry – 1 day per week onsite (occasional travel to Slough)
Contract: 6 months (high likelihood of extension)
IR35: Inside IR35
Rate: Up to £500 per day
Start: Ideally in May

Overview

The business is currently going through a wider transition across its reporting, analytics and data capability, moving towards a more efficient microsoft/Power BI-led reporting stack with increased focus on automation and AI-driven systems.

The current environment has a heavy reliance on offshore and third-party partners, with a number of processes and reporting workflows still operating manually. There is also a legacy QlikView estate that was originally planned for decommissioning last year, but remains business critical during the transition period.

Role Focus

• Own and maintain the existing QlikView reporting estate
  * Act as the bridge between business users and external suppliers/offshore teams
  * Support the ongoing transition from QlikView to the future reporting stack
  * Enhance, maintain and troubleshoot QlikView reports and dashboards
  * Gather and translate business requirements into technical/reporting solutions
  * Challenge suppliers on delivery quality, technical approach and best practice
  * Support migration and decommissioning activities across the reporting ecosystem
  * Combine hands-on development capability with delivery coordination, analysis and light project management responsibilities

Required Experience

• Strong hands-on QlikView experience
  * Experience working across both technical delivery and business-facing requirements gathering
  * Strong stakeholder and supplier/vendor management skills
  * Comfortable operating within legacy/on-prem environments whilst supporting modernisation programmes
  * Strong SQL skills
  * Experience supporting reporting migrations, decommissioning or transition programmes is highly beneficial

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Location: London – occasional visits
Contract: Initial 3 months (likely extension)
IR35: TBC
Rate: TBC
Start: Immediate – 18th May latest start

Overview
We’re supporting a fast-growing AI-native SaaS business, they are looking for a Senior Technical Programme Manager to lead a high-profile enterprise delivery programme, coordinating cross-functional teams across DataOps, Data Science, ML, Insights and Customer Success.

This is a delivery-first role focused on driving execution, managing enterprise stakeholders, and ensuring complex customer deployments remain on track in a fast-paced environment.

Role Focus

* Lead enterprise-scale AI/data delivery programmes
* Coordinate cross-functional teams across technical and operational functions
* Run steering committees, executive updates and customer delivery sessions
* Translate business requirements into technical specifications and delivery plans
* Manage sprint delivery, dependencies, risks and quality gates
* Support taxonomy/classification rollout projects and operational processes
* Work closely with DataOps, ML and engineering teams to drive delivery outcomes

Required Experience
* Strong technical programme/project delivery experience within SaaS, AI, ML or data product businesses
* Experience working across DataOps, Data Science or analytics environments
* Strong enterprise stakeholder management and customer-facing delivery experience
* Comfortable operating between technical and business teams
* Experience managing complex, fast-paced delivery programmes
* Exposure to taxonomy/classification or unstructured data projects is beneficial

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