The Data And AI Podcast
This podcast will cover a range of topics such as finding data talent, and AI training. We will also discuss more advanced subjects like assessing the value of your data team, identifying biases in AI and addressing pay gaps in Data and AI.
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MLOps Platform Manager, Palantir
London
£550 - £700
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
MLOps Platform Manager, Palantir
Fully Remote | 6 Month Contract | Outside IR35 | £550 to £650 per day
Overview
A leading organisation is looking for an MLOps Platform Manager to take ownership of its Palantir and production ML platform environment, covering Foundry, AIP and wider MLOps services.
The role will focus on ensuring the platform is reliable, secure, well-governed and scalable, while helping data science and engineering teams move models and data products into production in a structured and repeatable way.
The Role
This is a delivery-focused platform ownership role, sitting across:
- Palantir platform operations
- MLOps enablement
- Service management
- Security, governance and compliance
- Supplier and vendor management
You will be responsible for the day-to-day running and improvement of Palantir Foundry, AIP and related MLOps capabilities. The role requires someone who can combine technical platform understanding with operational discipline, stakeholder management and a strong service-owner mindset.
Key Responsibilities
Platform Operations
- Own the day-to-day operation of Palantir Foundry, AIP and MLOps services
- Ensure strong platform availability, performance, stability and user experience
- Manage incidents, problems, changes, requests and escalation processes
- Manage platform releases, upgrades and vendor changes
- Maintain runbooks, support playbooks and platform documentation
MLOps & Model Lifecycle
- Build and improve standard MLOps patterns across training, validation, deployment and monitoring
- Support data science and engineering teams in operationalising models end-to-end
- Improve CI/CD, environment management and automated testing for ML workloads
- Implement model monitoring across drift, performance, data quality and latency
- Support model lifecycle governance, including versioning, approvals, traceability and reproducibility
Security, Risk & Compliance
- Manage platform access, authentication, authorisation and segregation of duties
- Work with InfoSec, compliance and governance teams to evidence controls for data and AI services
- Support audits across platform operations, change history, access reviews and model lifecycle controls
- Maintain platform controls across logging, retention, encryption and privacy
Roadmap, Cost & Vendor Management
- Own the platform roadmap and improvement backlog
- Prioritise improvements based on business value, risk, cost and developer experience
- Manage capacity, usage monitoring and cost optimisation
- Manage relationships with Palantir, delivery partners and other platform suppliers
- Define standards, reference architectures and reusable patterns for data products and ML workloads
Requirements
- Strong experience managing data platforms, analytics platforms or MLOps capabilities in an enterprise environment
- Hands-on experience operating Palantir Foundry, AIP or a comparable modern data platform
- Strong understanding of production MLOps, including CI/CD, model deployment, monitoring and lifecycle governance
- Experience supporting production data products or ML models at scale
- Strong service management experience across incident, change, problem and request processes
- Experience working with security, risk, governance or compliance teams
- Strong stakeholder management across data engineering, data science, InfoSec and architecture teams
- Experience managing suppliers, vendors or delivery partners
Nice to Have
- Cloud experience across Azure, AWS or GCP
- ITIL or formal service management experience
- Experience in regulated environments
- Cloud cost optimisation experience
- Model risk, responsible AI or AI governance experience
Key Skills
Palantir, Foundry, AIP, MLOps, Platform Management, Data Platform, Model Deployment, CI/CD, Model Monitoring, Data Governance, Access Controls, Service Management, Incident Management, Change Management, Release Management, Vendor Management, Responsible AI, Cloud, DevOps
To apply, please email:
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Senior MLOps Engineer, Databricks
London
£550 - £650
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
MLOps Engineer, Databricks
Fully Remote
6 Month Contract
Outside IR35
£550 to £650 per day
Overview
A leading organisation is looking for a Databricks-focused MLOps Engineer to take ownership of a dedicated ML Engineering environment, supporting a growing data science team and accelerating the route from model development into production.
The business operates across a modern data landscape including both Palantir and Databricks, with some cross-platform integration expected as the environment develops. This role will focus specifically on the Databricks MLOps setup, ensuring it is performant, scalable, secure, well-governed, and able to support production ML products in a structured and repeatable way.
The Role
You will manage and improve the Databricks environments used by a team of 8 data scientists, with the team growing quickly as demand for ML products increases. The main focus is improving how models are deployed, monitored, governed, and supported in production.
This is a delivery-focused role with a strategic element. The client needs someone who can understand the Databricks roadmap, advise on what the business should adopt, and turn that into practical MLOps frameworks, deployment patterns, and operating processes.
You will help bring the target operating model to life, create a clear path-to-production, and support the internal ML Engineering capability while the permanent team continues to grow.
Key Responsibilities
- Own and manage dedicated Databricks environments supporting ML Engineering and MLOps
* Ensure the platform is performant, scalable, secure, and well-governed
* Support a growing team of data scientists in operationalising, deploying, and managing their models
* Build out reusable MLOps frameworks, standards, and deployment patterns
* Improve the path from model development through to production
* Support model observability, monitoring, governance, and operational controls
* Work closely with Databricks to understand their roadmap and advise on relevant adoption
* Help bring the full MLOps operating model and solution design to life
* Support the development of internal ML Engineering capability
* Work across Databricks, Palantir, data science, and engineering teams where required
* Ensure ML products and services can be delivered in a structured, repeatable, and scalable way
Key Skills and Experience
- Strong experience with Databricks in a production ML, MLOps, or data platform environment
* Experience working across MLOps, ML Engineering, or ML Platform Engineering
* Strong understanding of model deployment, model monitoring, CI/CD, versioning, and ML lifecycle management
* Experience building frameworks, standards, and reusable patterns for production ML delivery
* Experience supporting data scientists and helping move models into production
* Strong Python and PySpark experience
* Experience with cloud data platforms, ideally Azure
* Strong understanding of scalable and governed ML platform environments
* Ability to operate strategically while remaining hands-on and delivery-focused
* Strong stakeholder management skills across technical and non-technical teams
Nice to Have
- Palantir experience or exposure to cross-platform data environments
* Unity Catalog, Delta Lake, MLflow, Feature Store, or Model Registry experience
* Experience building out ML Engineering capability or MLOps functions
* Experience in enterprise or regulated environments
* Vendor roadmap or platform strategy experience
* Responsible AI, model governance, or risk management experience
* Cloud certifications or Databricks certifications
The Opportunity
This is a strong opportunity for a Databricks-focused MLOps Engineer to take ownership of a growing ML platform environment, shape the path-to-production, and directly improve how quickly the business can bring ML products into production.
The role would suit someone who has worked hands-on across Databricks and MLOps, but who can also think strategically about platform design, operating models, governance, and long-term scalability.
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Senior Product Manager
London
£100000 - £105000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Senior Product Manager
£105,000 + benefits + share options
UK – Remote‑first (hybrid flexibility)
About the role
Senior Product Manager role within a Series A life sciences startup building data‑driven products that support faster, more informed drug discovery. The focus of the role is strengthening product foundations, defining a clear roadmap and helping scale the product capability as the business moves towards go‑to‑market.
This role suits an experienced Product Manager who enjoys taking ownership, bringing structure where there’s ambiguity, and mentoring less experienced PMs without needing line management responsibility.
What you’ll be doing
- Owning product strategy and roadmap, aligned to business goals
- Improving product foundations, processes and ways of working
- Translating customer needs into clear, actionable product direction
- Working closely with engineering, data science and commercial teams
- Supporting the development of new products and analytical tools
- Helping take products towards go‑to‑market readiness
- Acting as a senior product voice within a fast‑growing startup
What we’re looking for
- Strong experience across the full product lifecycle
- Proven ability to define and execute product strategy and roadmaps
- Experience scaling or maturing a product function
- Comfortable working with complex, data‑heavy technology
- Go‑to‑market experience is highly valued
- Life sciences experience is beneficial, but not essential
- 5-10+ years’ product fexperience
BENEFITS
The successful candidate will receive a salary of £105,000, alongside a competitive benefits package and share options.
This is a high‑autonomy role with real business impact, offering the opportunity to work on complex, meaningful products within a fast‑growing life sciences startup.
HOW TO APPLY
Please register your interest by sending your CV to Felix Igu via the Apply link on this page.
To Apply for this Job Click Here
Senior Data Analyst
London
£80000 - £95000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Senior Data Analyst – Player Analytics
£80,000-£95,000 + c.16% bonus (strong upside)
Watford Junction – Hybrid (3 days a week in the office)
Permanent (open to strong contractors)
About the role
Senior Data Analyst role within a large consumer business, focused on player and customer analytics across digital, commercial and marketing initiatives. This is a highly ad‑hoc role, suited to someone who enjoys ambiguity, variety and working closely with senior stakeholders.
Rather than routine reporting, the focus is on deep‑dive analysis, commercial problem solving and shaping decisions that have material business impact.
What you’ll be doing
Conducting ad‑hoc player and customer analysis to identify opportunities and risks
Supporting optimisation of digital journeys and experiences
Building commercial models to assess the impact of new products, features and mechanics
Analysing test‑and‑learn activity, measuring uplift and unintended consequences
Acting as a thought partner to senior stakeholders, challenging assumptions with data
What we’re looking for
Strong experience in a data or analytics role
Advanced SQL skills
Comfortable working with ambiguity and shifting priorities
Commercially minded, with the confidence to influence senior stakeholders
Experience in regulated industries is a strong advantage
Python and/or R experience for deeper analysis is beneficial
Benefits
The successful candidate will receive a salary of £80,000-£95,000, alongside a strong bonus and benefits package. This is a high‑autonomy role with real business impact, excellent exposure to senior leadership and the chance to work on varied, commercially meaningful analytics problems in a fast‑paced environment.
How to apply
Please register your interest by sending your CV to Felix Igu via the Apply link on this page
To Apply for this Job Click Here
Engagement Manager – Analytics Consulting Services
London
£100000 - £120000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Engagement Manager – Analytics Consulting (Banking / Fintech )
London / Leeds (Hybrid)
Salary up to £120,000
I’m recruiting for an Engagement Manager to join a growing analytics consulting practice, delivering high-impact, data-driven solutions to leading financial services clients.
This is a senior, client-facing role where you’ll own end-to-end delivery, shape analytical solutions, and act as a trusted advisor to senior stakeholders across banking, fintech, and payments.
The role:
- Lead complex, multi-work stream analytics engagements from scoping to delivery
- Partner with senior stakeholders to solve commercial challenges across risk, pricing, fraud, and customer experience
- Shape analytical approaches (modelling, experimentation, insight generation) and drive outcomes
- Support business development through proposals, pitches, and go-to-market strategy
- Mentor teams and help build a high-performing consulting practice
What we’re looking for:
- 10+ years’ experience in analytics consulting (financial services focus)
- Strong track record delivering data-driven outcomes in banking/fintech/payments
- Commercial mindset with experience in client growth and engagement delivery
- Excellent stakeholder management and communication skills (C-suite exposure)
- Knowledge of modern data tools (SQL/Python/BI) a plus
BENEFITS
The successful candidate will receive a competitive salary and bonus, alongside a comprehensive benefits package. This includes 26 days annual leave + bank holidays, private medical cover, a strong pension scheme, wellness days, and access to an employee share plan. You’ll also benefit from flexible/hybrid working, ongoing learning and development opportunities, and the chance to shape a growing consulting function within a global organisation.
HOW TO APPLY
Please register your interest by sending your CV to Keji Adebari via the Apply link on this page.
To Apply for this Job Click Here
Director of Data
London
£120000 - £140000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Director of Data
Central London (Office-led, flexible)
£120,000-£140,000
We’re hiring a Director of Data to join a global, PE-backed marketing and rewards business working with major brands including Vodafone, Santander, and McDonald’s.
This is a unique opportunity to take ownership of an established data function and drive the next phase of growth. The foundations are already in place-modern data infrastructure, a central data platform, and a suite of data-led products. Now, the focus is on maximising value through analytics, insight, and predictive capabilities.
The role:
- Lead and evolve the data and analytics function across the business
- Drive adoption, data literacy, and commercial impact from data products
- Deliver advanced analytics and predictive insights to support client campaigns
- Work closely with senior stakeholders to embed data into decision-making
- Execute an established data strategy and scale analytics capability
What we’re looking for:
- Senior experience leading data / analytics functions
- Strong background in analytics, insight, and commercial data use
- Ability to influence and engage senior stakeholders
- Technically credible (SQL, Python, modern data platforms)
- Experience with customer, marketing, or product data is beneficial
BENEFITS
The successful candidate will receive a salary of £120,000-£140,000, alongside a competitive bonus and benefits package. This includes the opportunity to work in a high-impact leadership role within a PE-backed business, strong exposure to senior stakeholders, and the chance to shape and scale a growing data function. You’ll also benefit from flexible working arrangements and a collaborative, fast-paced environment.
HOW TO APPLY
Please register your interest by sending your CV to Keji Adebari via the Apply link on this page.
To Apply for this Job Click Here
Engagement Manager
London
£115000 - £120000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
SENIOR ENGAGEMENT MANAGER
LONDON/LEEDS/HYBRID
UP TO £120,000
This is a senior, high impact role for an analytics consulting leader who wants to shape a growing advisory capability rather than step into a fixed, plug and play position. You will sit at the centre of complex client engagements, combining strategic problem solving, senior stakeholder leadership, and hands on delivery to drive measurable commercial outcomes.
ROLES AND RESPONSIBILITIES:
The Senior Engagement Manager will:
- Lead complex, analytics driven consulting engagements from problem definition through to value realisation.
- Act as the primary senior client contact, building trusted relationships and guiding executive decision making.
- Shape analytical approaches across modelling, experimentation, business analytics, and insight activation.
- Oversee multi workstream delivery teams, setting quality standards, governance, and delivery cadence.
- Drive commercial growth through opportunity identification, proposal development, and account expansion.
- Contribute to practice building through reusable assets, delivery frameworks, and thought leadership.
- Mentor and develop consultants and analysts, supporting capability growth across the practice.
YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:
- Strong commercial experience leading analytics or data consulting engagements within financial services.
- Proven ability to translate complex analysis into clear, actionable business outcomes.
- Deep understanding of areas such as credit risk, portfolio management, fraud, pricing, or customer analytics.
- Confidence operating with senior stakeholders, including executive and board level audiences.
- Commercial acumen across scoping, pricing, and managing profitable consulting engagements.
- Familiarity with modern data environments, analytical tools, and visualisation platforms.
APPLY BELOW!
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Customer Insight Analyst
£50000 - £55000
+ Advanced Analytics & Marketing Insights
PermanentLancashire
To Apply for this Job Click Here
Customer Insights Analyst
£50,000 – £55,000
Hybrid – Lancashire (3x days per week)
This is an opportunity to step into a high impact customer insight role where your analysis directly shapes marketing strategy, customer experience, and commercial performance. You will work with rich customer and patient data to influence how a large, service led organisation engages, retains, and grows its customer base.
The Company
They are a well established, customer focused organisation operating at scale within a regulated, service led environment. Data and insight sit at the heart of their decision making, with strong collaboration across marketing, operations, and product teams. The business values thoughtful analysis, ethical data use, and turning insight into meaningful action.
The Role
You will focus on unlocking actionable insight across the full customer lifecycle, supporting CRM performance, retention, and personalisation. Key responsibilities include:
- Analysing CRM, POS, digital, and survey data to identify behavioural trends and growth opportunities
- Supporting campaign targeting and optimisation through segmentation, cohort analysis, and predictive insight
- Developing dashboards that connect customer behaviour to commercial KPIs such as conversion, retention, and lifetime value
- Leading analysis of satisfaction and advocacy data using sentiment and key driver approaches
- Delivering clear, executive ready insights to non technical stakeholders
- Partnering with marketing, operations, and product teams to improve lifecycle communications and service delivery
- Ensuring GDPR and data governance standards are met in all analysis and reporting
Your Skills and Experience
- Strong commercial experience in customer insight, CRM analytics, or lifecycle analysis
- Confident using SQL and Python for data analysis
- Experience with BI and visualisation tools such as Power BI or Tableau
- Solid understanding of segmentation, retention, and campaign performance metrics
- Comfortable working with multi channel CRM data including email, SMS, and direct marketing
- Ability to translate complex data into clear, actionable recommendations
What They Offer
- Competitive salary and benefits package
- Hybrid working model
- Exposure to large scale, high value customer data
- Clear opportunity to influence strategy and see the impact of your work
- Supportive, collaborative culture with strong values around integrity and improvement
How to Apply
If you are excited by turning customer data into meaningful commercial insight, apply now to find out more.
