data & AI
Diversity Report
DIVERSITY GUIDES 2022
An in-depth look into diversity within Data & AI, we have been carrying out primary research for a number of years to create annual diversity guides.
Download our previous editions, which have given us unrivalled insight into where the industry currently stands in its push for a more representative workforce.
They are here to highlight where the industry can improve, how it can improve and to help make those improvements.
USA DIVERSITY REPORT
Fundamentally, what you can do with your data and how useful it may be will hinge on its quality.
EU DIVERSITY REPORT
Fundamentally, what you can do with your data and how useful it may be will hinge on its quality.
UK DIVERSITY REPORT
Fundamentally, what you can do with your data and how useful it may be will hinge on its quality.
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DATA & AI SALARY GUIDE 2024
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Project Manager
London
£400 - £500
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
Job Title: Project Manager
Location: Remote with occasional travel
Contract: 6 months initially
IR35: Outside
Rate: £400-£500 per day
Overview:
A Consultancy is looking for support leading construction/housebuilder, they are looking for a versatile Project Manager to set up a PMO function and support various work streams. This role will help keep delivery on track and provide much-needed bandwidth across several change programmes.
Responsibilities:
- Oversee five workstreams, helping to shape and support a developing PMO function.
- Drive delivery across digital enablement (CRM, customer journey), construction quality, customer care, property design, and relationship management.
- Act as a BA where needed – gathering requirements, documenting processes, and supporting organisational change.
- Provide structure, governance, and clear reporting across all streams.
Required Skills & Experience:
- Broad background spanning BA, PM, and PMO responsibilities – being fluid is key
- Confident dealing with senior stakeholders up to MD level.
- Experience within housing, real estate, property, or construction is essential.
- Able to bring clarity, structure, and strong communication across complex programmes.
To Apply for this Job Click Here
Data Scientist – Pricings and Promotions
London
£550 - £650
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Job Title: Data Scientist – Pricing & Promotions
Location: Blackfriars, London (Hybrid – 2 Days Per Week Onsite)
Role Type: Contract, £550-650 Per Day (insideIR35), 3 Months Initially (Strong Potential to Extend)
The Role
We are seeking a commercially minded Data Scientist to optimise pricing and promotional strategies for a leading consumer brand. This role directly supports initiatives that contribute to roughly 20% of total revenue, with a strong focus on analytical rigour, experiment design, and measurable business impact.
You will work closely with commercial, marketing, and finance teams to design scalable pricing models, analyse promotional performance, and inform high-stakes decisions that drive growth, profitability, and competitive positioning.
What You’ll Be Responsible For
Promotional Analysis & Strategy
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Conduct in-depth analyses of campaign performance to identify trends, opportunities, and areas for optimisation.
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Develop and test data-driven promotional strategies that drive customer engagement and commercial uplift.
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Measure the success of promotional activities and recommend improvements focused on efficiency and effectiveness.
Pricing Optimisation
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Design pricing models that balance commercial growth, margin improvement, and competitive positioning.
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Use scenario analysis and elasticity modelling to forecast the impact of pricing decisions across products and customer segments.
Cross-Functional Impact
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Partner with commercial, marketing, and finance teams to translate analytical insights into actionable pricing and promotion strategies.
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Contribute to experimentation frameworks, including A/B tests, to validate hypotheses and quantify business outcomes.
Must-Have Qualifications
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Strong expertise in data analysis and statistical methods (e.g., regression, hypothesis testing).
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Proven track record of using data to drive commercial success (e.g., revenue growth, margin improvement, increased market share).
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Knowledge of pricing optimisation methods and experimentation frameworks (e.g., elasticity modelling, A/B testing).
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Ability to structure complex analytical findings into clear, actionable insights for diverse stakeholders.
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Proficiency with SQL (Google SQL preferred) and Python or R for statistical analysis.
Nice-to-Have Skills
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Experience working within consumer brands or revenue-focused product environments.
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Familiarity with large-scale promotional engines or marketing analytics.
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Hands-on experience designing end-to-end experimentation workflows.
How We Evaluate Candidates
Technical Competence: We assess statistical capability, problem-structuring skills, and practical analytical judgment. Candidates must demonstrate proficiency with SQL and Python/R/ through real-world examples.
Communication: You must be able to clearly articulate analytical approaches, describe the rationale behind your methods, and explain the commercial impact of your work.
Collaboration: We look for candidates who work effectively with commercial stakeholders and can translate data into decisions that move the business forward.
If you are interested in applying, please email with your CV and contact number.
To Apply for this Job Click Here
Data Engineer
London
£65000 - £75000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Data Engineer
Location: London (Hybrid – 3 Days in Office)
Salary: £75,000
Be the backbone of dynamic pricing and cloud-driven insights, where your expertise turns data into a competitive edge.
The Opportunity
This is your chance to play a pivotal role in a business navigating an exciting transformation. You’ll be the go-to expert ensuring critical data systems run seamlessly while shaping the future of analytics and pricing strategies. Expect hands-on work with modern data tools, cloud infrastructure, and dynamic models that directly influence commercial decisions.
You’ll collaborate across teams, solving complex challenges and driving smarter insights that impact revenue growth. If you thrive on autonomy and want to make a visible impact during a high-stakes period, this is the opportunity for you.
Role and Responsibilities
You’ll take ownership of maintaining and enhancing the data warehouse and dynamic pricing model that underpin key commercial decisions. This includes managing robust data pipelines, extracting inputs via Python-based tools, transforming data with SQL, and orchestrating workflows using Airflow. You’ll work with cloud infrastructure following Infrastructure-as-Code principles and support CI/CD deployments to ensure scalability and reliability.
Additionally, you’ll prepare and manage PowerBI semantic models, enabling clear and actionable insights for stakeholders. Beyond maintenance, you’ll collaborate on new dashboards, data queries, and migration projects during a critical transformation period.
Interview Process
- Introductory Conversation
- Technical Task Presentation and Conversation
Be the driving force behind robust data systems and dynamic analytics during a critical transformation, apply now.
To Apply for this Job Click Here
Senior DataOps Engineer
Leeds
£62000 - £62000
+ Data Engineering
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
Senior Data Ops Engineer
Based: Leeds – hybrid
Salary: up to £62,000
I’m partnered with an established FS company who are scaling their cloud-native data platform and building a modern, centralised data function to better support a wide community of Data Scientists, Analysts, and federated Data Engineers across the organisation.
They are looking for a Senior DataOps Engineer to help shape how data pipelines are run, monitored, governed, and optimised at scale.
This is an opportunity to join a growing team working at the heart of the organisation’s data transformation, improving platform efficiency, enabling self-service, and ensuring data pipelines operate with the same discipline as production software.
The Role
As a Senior DataOps Engineer, you’ll take a strategic, high-level view of the data platform while still diving deep when needed. You will focus on observability, automation, pipeline performance, operational excellence, and cloud cost optimisation.
You’ll work cross-functionally with Data Engineering, DevOps, and FinOps teams, helping ensure that data services are reliable, scalable, secure and cost-effective, and that federated teams across the organisation can self-serve with confidence.
What You’ll Be Doing
- Taking an overview of how pipelines run across the platform, improving performance and throughput
- Enhancing observability and monitoring across Azure-based data workloads
- Identifying bottlenecks and opportunities to streamline operational processes
- Using scheduling/orchestration tools to optimise workflows and improve run times
- Treating data pipelines like production-grade software with robust monitoring, automation, and scalability in mind
- Supporting incident management and helping federated teams resolve issues efficiently
- Driving efficiency through automation and reduction of manual operational overhead
- Working with FinOps practices to optimise spend and evaluate cost-performance trade-offs
- Advocating for better platform usage, adoption, and operational best practices
Tech Stack & Skills
Essential
- Strong experience working with Azure cloud platform
- Background in data engineering and building/maintaining data pipelines
- Experience with pipeline monitoring, observability, and incident troubleshooting
- Strong automation mindset and ability to build resilient, self-healing data workflows
Nice to Have
- Knowledge of FinOps principles and cloud cost optimisation
- Experience with orchestration tools such as Azure Data Factory, Databricks Workflows, or Airflow
- Exposure to containerisation tools (Kubernetes, Docker)
- Experience with data cataloguing tools
- Familiarity with unit testing in data pipelines
- Awareness of MLOps practices
To Apply for this Job Click Here
Senior Data Engineer
Manchester
£80000 - £95000
+ Data Engineering
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Senior Data Engineer
Remote first (occasional travel to office)
Salary: up to £95,000
I’m partnered with a fast-scaling retailer who are looking to bring a Senior Data Engineer into their team. With over 40M+ global users and rapid year-on-year growth, this organisation is investing heavily in data to power smarter decisions, richer insights, and long-term product innovation.
You’ll work closely with internal teams to design, build, and optimise data models and ingestion pipelines, contributing to a new data lake and a robust gold-layer architecture. You’ll also have the chance to shape ML-ready pipelines and mentor more junior data engineers.
What you’ll be doing
- Building scalable data models and ingestion pipelines for a new data lake
- Working across multiple data domains and supporting internal partners
- Designing and delivering high-quality datasets for BI, insights, and analytics use cases
- Collaborating with product, engineering, and analytics stakeholders
- Supporting third-party data ingestion workflows
- Owning end-to-end delivery of production-grade data solutions
- Potential involvement in ML pipeline development
- Mentoring less experienced team members and fostering a culture of knowledge sharing
- Communicating clearly and effectively with diverse technical and non-technical audiences
Tech stack
- Python, Airflow, Terraform
- Azure (but open to other cloud experience)
- DBT (nice to have)
- Exposure to ML pipelines beneficial
To Apply for this Job Click Here
Senior Product Data Scientist
London
£70000 - £85000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Product Data Scientist – Up to £85k + Benefits | London (Hybrid)
A major consumer marketplace is hiring a Senior Product Data Scientist to lead analytics and experimentation across a high-impact product area. You’ll work closely with Product, Engineering and ML teams, owning technical discovery, shaping strategy, and driving experimentation at scale.
What you’ll do
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Lead analytics for a core product vertical
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Own technical discovery and experimentation frameworks
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Design, run and deeply analyse A/B tests (3-5 per quarter)
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Mentor other analysts (no line management)
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Influence product & business strategy end-to-end
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Enable scalable, self-serve analytics
What you’ll bring
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Strong SQL (daily use)
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Python experience (nice to have)
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BI tools (Looker/PowerBI/Tableau)
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Experience with Optimizely or similar testing platforms
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Excellent communication + stakeholder influence
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Hands-on, highly technical, commercially minded
Why apply?
-
Up to £85k base
-
1 day a week in a modern London office
-
Outstanding benefits
Perfect for someone who wants technical depth, strategic influence and high ownership-without people management.
Find out more and apply via the link below.
To Apply for this Job Click Here
Product Data Scientist
London
£55000 - £65000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
⭐ Product Data Scientist – Up to £65k + Benefits | London (Hybrid)
Join a fast-growing, community-driven marketplace on a mission to make fashion circular. We’re looking for a Product Data Scientist who can turn complex data into actionable product insights, drive experimentation, and influence strategy across a major consumer platform.
What you’ll do
-
Own analytics for a core product area
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Shape product & commercial strategy with data-led insights
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Design, run, and evaluate A/B tests end-to-end (3-5 per quarter)
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Partner with Product, Engineering & ML teams
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Help build self-serve analytical capabilities
What you’ll bring
-
Strong SQL (day-to-day level)
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Python exposure (nice to have)
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Experience with BI tools (Looker/PowerBI/Tableau)
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Comfort working with ETL workflows
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Strong communicator with commercial awareness
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Confident presenting to non-technical stakeholders
Why apply?
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Up to £65k base
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1 day a week in a central London office
-
Exceptional benefits
If you’re driven by experimentation, impact and product thinking, this is a brilliant next step.
Find out more and apply via the link below.
To Apply for this Job Click Here
Data Analyst – Digital and Marketing Focus
London
£40000 - £50000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Data Analyst (Digital & Marketing Focus)
London – Hybrid (2 days in office, Tues & Thurs – Elephant & Castle)
Up to £50,000 + Benefits
The Company
Our client is a specialist digital and marketing analytics consultancy, established in 2016 and now recognised as a trusted partner for major asset managers and digital-first businesses. They help clients transform complex data into actionable insights that improve sales performance and optimise marketing ROI.
With a close-knit team of around 10, they combine cutting-edge analytics with strategic expertise. This is a fantastic opportunity to join a growing consultancy where your work will have real visibility and impact.
The Role
They are seeking a mid-level Data Analyst with strong technical skills and commercial awareness. This is a client-facing position where you’ll be responsible not just for the numbers, but for turning data into clear, strategic recommendations.
You’ll work directly with senior stakeholders, gain exposure to high-profile clients, and take on varied projects across digital and marketing analytics.
Responsibilities
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Extract, join, and transform datasets from multiple platforms (SQL, GA, marketing tools).
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Build and maintain dashboards and reports (Looker Studio, Tableau or equivalent).
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Apply statistical methods across attribution, MMM, LTV, churn, propensity and clustering models.
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Present insights and recommendations confidently to clients via Zoom and face-to-face.
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Support client strategy by identifying opportunities to optimise spend and improve ROI.
Candidate Profile
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2-4 years’ experience in analytics (digital, marketing or consultancy background desirable).
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Strong SQL and Python skills, with a good grounding in statistics.
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Experience with Google Analytics or Adobe Analytics.
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Hands-on dashboarding experience (Looker Studio, Tableau or similar).
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Comfortable working directly with clients and explaining insights to non-technical stakeholders.
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2:1 degree or above in a STEM or Social Sciences subject (or equivalent experience).
Package & Benefits
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Salary up to £50,000 (depending on experience).
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Hybrid working – 2 days in the office (Tues & Thurs, Elephant & Castle).
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25 days holiday, state pension, profit share scheme.
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Direct exposure to senior leadership, with clear progression opportunities.
Interview Process
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Introductory interview with senior team members.
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Technical assessment (SQL + GA data integration & dashboard creation).
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Final stage with leadership and chance to meet the wider team.
Find out more and apply via the link below.
To Apply for this Job Click Here
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