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Senior Data Scientist

Reading – Hybrid

Up to £70,000

About the Role

I’m currently partnered with a global leader in data, insights, and consulting who are looking to bring on a Senior Data Scientist to join their highly respected data team.

This is a high-impact opportunity focused on yield optimisation – using data science to drive better consistency, forecast accuracy, and operational efficiency. You’ll work closely with both commercial and technical stakeholders to develop data-driven strategies that improve trading outcomes at scale.

The team is well-established and growing, with excellent visibility across the business and a genuine appetite for data innovation.

Key Responsibilities

• Optimise existing yield and matching models for better consistency and forecasting performance.
• Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements.
• Build and deploy scalable data science solutions that drive measurable business impact.
• Collaborate with developers and commercial leads to implement models into production systems.
• Present insights in a clear, impactful way to senior non-technical stakeholders.
• Own the full data science project lifecycle – from hypothesis to production and iteration.
• Support scenario planning and forecasting for commercial strategy.

What They’re Looking For

• Solid experience in yield, pricing, or forecasting optimisation – ideally within online marketplaces, programmatic media, travel, or insurance.
• Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI.
• Familiarity with cloud platforms such as AWS, Redshift, or Azure.
• Strong grasp of forecasting, optimisation, and statistical modelling techniques.
• Confident communicator who can translate technical outputs into business recomme
• ndations.
• Comfortable working in agile, iterative environments with cross-functional teams.

**Please note: Unfortunately, this role does not offer visa sponsorship**

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page

To Apply for this Job Click Here

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Data Scientist

Up to £80,000

London (Hybrid)

Company:

They are an AI-driven climate risk analytics platform that partners with businesses within Insurance, Private Equity, Asset Management and governments to understand and prepare for the physical and transitional impacts of climate change.

Responsibilities:

• Research and implement loss models that quantify climate-related risks, focusing on robustly estimating asset vulnerabilities.
• Calibrate and validate loss models against a wide variety of data sources, both qualitatively and quantitatively to ensure they meet rigorous scientific standards.
• Contribute to building our overall loss modelling framework, ensuring robustness and adaptability across diverse client requirements and geographies
• Model documentation and presentations to engage with stakeholder and customers, all while representing the team at international conferences and industry events

Requirements:

• MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• 3+ years of experience in a Data Science, Data Analysis, or related role
• Strong hands-on experience with Python and SQL
• Excellent communication skills and stakeholder engagement ability

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page

To Apply for this Job Click Here

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Data Science Manager

Up to £120,000

London (Remote/Hybrid)

Company:

Join a global marketplace redefining how pre-owned goods are collected, reused, and redistributed. Founded in the UK, they’ve built a scalable, tech-enabled platform that intercepts millions of unwanted items every year, transforming them from landfill-bound to re-loved by new owners.

Responsibilities:

• Lead and deliver scalable statistical models and analyses that drive business decisions
• Own end-to-end delivery of data science projects, from identifying and integrating data sources to experimentation, model deployment, and pricing strategy optimization
• Define and implement best practices in modelling, automation, and process improvements, ensuring the right tools and approaches are used for each problem.
• Effectively communicate complex insights to both technical and non-technical audiences, including senior executives, with a strong focus on commercial impact.
• Collaborate cross-functionally with product managers, engineers, and other stakeholders to align data science work with broader strategic goals under a “One Team” approach.

Requirements:

• MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Strong coding skills in Python and SQL
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.

**Please note that this role does not offer visa sponsorship**

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page

To Apply for this Job Click Here

To Apply for this Job Click Here

DATA ENGINEER

LONDON

£110K + 100% BONUS

THE COMPANY

This global private equity investor focuses on transformative software and services businesses-backing companies that are changing the way the world works. With over 50 portfolio companies valued collectively at $150bn+, they’re behind one of the largest software portfolios globally. Their scale creates huge opportunity to drive value through data-empowering better decision-making and building next-generation of data products that will change the world.

THE ROLE

As a Data Engineer, you will play a pivotal role in designing and building scalable data solutions that directly influence both internal operations and value creation across a world-leading portfolio. This is a unique opportunity to work in a hands-on, high-impact role shaping greenfield data platforms and embedding data strategy within ambitious software businesses.

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

• Designing and developing full-stack data pipelines and platforms using modern tools such as dbt, Airflow, and cloud infrastructure
• Cleansing, enriching and modelling data to generate commercial insights and power C-level dashboards
• Delivering scalable solutions that support internal use cases and extend directly to portfolio companies
• Working on project-based data initiatives, including AI/ML integrations for predictive modelling and cloud-based productisation
• Collaborating with commercial teams (RevOps, Finance, Sales) to turn messy data into meaningful business value
• Building internal data products and helping define the next generation of services across the wider platform

SKILLS AND EXPERIENCE

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

• 5+ years in data engineering, with experience in commercial environments
• Proven ability to manage the full data lifecycle-from ingestion to transformation to delivery
• Comfortable working closely with commercial functions (e.g. finance, sales) and building tools that serve business needs
• Background in startups or scale-ups with high adaptability and a hands-on approach
• Experience with modern data tools (e.g. dbt, Airflow, CI/CD) and at least one cloud platform (AWS, GCP, Azure)
• Strong communication skills and a track record of credibility in high-pressure or client-facing settings

BENEFITS

The successful Data Engineer will receive the following benefits:

Salary up to £110k

Hybrid working model – 3 days a week in office

100% Bonus

30 days annual leave

Benefits package (pension, private medical, etc…)

HOW TO APPLY

Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

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Senior Customer Analyst – FTC (7 Months) | Up to £60,000 + Bonus + Benefits
Location: Watford (2-3 days in office, flexible hybrid model)
Contract: Fixed-Term Contract (7 months)
Sector: Global Retail

A leading global retailer is seeking a Senior Customer Analyst to join a rapidly growing customer analytics team. With 4,500+ stores across 9 countries, this brand is best known in the UK and Europe for its off-price retail model, including a popular high-street fashion chain.

This is an exciting opportunity to join a fast-evolving analytics function, working on high-impact projects such as store clustering, customer segmentation, and retail sales drivers. You’ll play a key role in uncovering insights that inform strategy across marketing, customer loyalty, and performance.

What You’ll Do:

• Own end-to-end analytical projects using SQL and customer data

• Collaborate with stakeholders to deliver actionable insights

• Present and communicate complex findings through compelling data storytelling

• Contribute to the growth and maturity of a young analytics function

Core Skills:

• 3+ years of advanced SQL experience (essential)

• Strong data storytelling and stakeholder communication

• Background in working with relational databases, customer data, and marketing/CRM functions

• Familiarity with Python or R (advantageous)

• Exposure to GA, email marketing analytics, or retail data (nice to have)

Who You Are:

• Commercially minded and insight-driven

• Proactive and comfortable working in a small, non-agile, high-collaboration team

• Passionate about solving business problems with data

• Able to work independently and hit the ground running

Why Join?

• Flexible hybrid working (typically 2-3 days in-office, with emphasis on collaboration)

• Up to 16% performance bonus + stock worth ~£32k + healthcare & more

• Loyalty bonus after 3 years (if made permanent)

• Office located directly opposite the station for easy commute

Interview Process:

• 1st stage: Interview with the team

• 2nd stage: SQL/insight-based task

• Final stage: Sign-off conversation (if needed)

Apply via the link below !!!

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Job Title: Senior Analytics Engineer
Location: London – Hybrid Working

We’re looking for a Senior Analytics Engineer to help shape the future of data at a major media organization. In this role, you’ll transform raw data into powerful, actionable insights through advanced data modeling and robust semantic layers. You’ll play a key role in scaling analytics infrastructure, optimizing pipelines, and mentoring fellow engineers.

Key Responsibilities:

• Build and optimize data models across bronze to gold layers using dbt and Kimball methodology
• Own and manage the semantic layer for BI tools like Looker and Power BI
• Implement rigorous data quality and testing frameworks
• Drive CI/CD practices with tools like GitHub Actions and Terraform
• Lead technical decisions and mentor junior engineers
• Collaborate across engineering, data science, and product teams to deliver business impact

Skills & Experience:

• Expert in SQL, dbt, and cloud data warehouses (e.g., BigQuery, Redshift)
• Strong experience with Airflow, Python, and multi-cloud environments (AWS/GCP)
• Proven background in designing and scaling analytics solutions in agile environments
• Proven experience as an Analytics Engineer

Nice to Have:

• Experience with Looker or Power BI
• Familiarity with Data Vault or advanced modeling techniques beyond Kimball

If you are interested in this role, please apply. To follow up please email me or message on LinkedIn.

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Head of Commercial Analytics | £135,000 + Bonus + Equity

A leading global marketplace is hiring a Head of Commercial Analytics to steer strategic commercial performance and lead a high-impact analytics function across a highly competitive consumer sector in the UK.

The Role
You’ll oversee a senior team across Pricing, Trading, and Customer Analytics – using data to drive strategy, defend market share, and unlock growth opportunities. This is a commercial, P&L-focused role where analytics is central to decision-making and business performance.

Your Impact

• Own and lead analytics across pricing, promotions, customer behavior, and trading performance

• Partner closely with Strategy, Commercial, and Marketing to drive revenue and market share growth

• Identify and action opportunities across core and emerging customer segments

• Develop experienced senior managers while remaining close to the most business-critical analytical work

What We’re Looking For

• Experience leading large, high-performing analytics teams (including managing other managers)

• Deep commercial acumen – with a strong grip on pricing, trading, and end-to-end P&L performance

• Marketplace/platform experience preferred

• Experience across global or multi-region environments is a plus

Package

• £135,000 base salary

• Discretionary bonus

• Full benefits package

Interview Process

• Intro interview with Analytics Director

• Case presentation with Strategy leadership

• Final interview with the UK Managing Director

• Ready to make a strategic impact at scale? Apply in confidence to learn more.

To Apply for this Job Click Here

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Role: Junior Data Engineer
Salary: £35,000 – £40,000 (up to £45,000 for the right candidate) + Discretionary Bonus
WFH: 5 Days/Week Onsite – South Kensington, London

Overview

Our client is a fast-growing intelligence and analytics firm specialising in global shipping and commodities. Their research team transforms complex maritime data into actionable insight for brokers and clients, powering commercial decisions with high-precision analytics and visualisation.

They are now hiring a Junior Data Engineer to join their engineering and research team. This is a graduate-level opportunity with no prior industry experience required. You’ll work side-by-side with experienced engineers and analysts on maintaining and modernising data infrastructure. The business is investing heavily in its platform over the next 12 months, offering significant career growth for curious and ambitious talent.

Key Responsibilities

• Maintain and improve Python-based ETL pipelines (~60 currently in production)
• Support the migration from on-premise to cloud-based SQL environments
• Keep dashboards and reporting chartbooks (Power BI & PDFs) up to date
• Implement basic data validation and quality controls
• Manage version control and CI/CD workflows using Git
• Contribute to internal documentation
• Provide analytics support using Python when needed

Ideal Candidate

• BSc in Computer Science or a closely related discipline (From Russell Group/Red Brick university)
• Strong Python fundamentals
• Basic SQL skills and familiarity with Git
• Strong communicator, eager to learn, and naturally curious
• Comfortable working across multiple business areas with varied responsibilities

Nice-to-Haves

• Exposure to tools like Prefect, Airflow, or Dagster
• Familiarity with Azure SQL, Snowflake, or dbt

Tech Stack / Tools

• Python
• SQL (on-prem + Azure SQL Data Warehouse)
• Git

Benefits

• £35,000 – £40,000 starting salary (up to £45,000 for the right candidate)
• Discretionary annual bonus
• Clear progression path as part of a growing central data function
• New South Kensington office with top-tier facilities
• Work closely with senior analysts and engineers
• Daily learning opportunities in a collaborative, high-trust environment
• Exposure to a variety of real-world datasets and commercial applications

Interview Process

1. Introductory Chat (30 mins) – Culture and motivation
2. Final Interview (Onsite) – Show and tell of past work + discussion around the role

To Apply for this Job Click Here

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Digital Product Analyst
Up to £50,000 + Benefits
Oxford Circus – 4 days a week in-office (Mondays & Fridays required – no flex)

We’re hiring for a fast-growing retail group that’s investing heavily in data and digital. With a major shift to Google Cloud now complete and a centralised analytics team in place, it’s an exciting time to join.

As a Digital Product Analyst, you’ll sit within the Product Analytics team – working closely with Product Managers, Developers, and Implementation teams to understand user behaviour, site performance, and optimisation opportunities.

What you’ll be doing:

• Analysing user journeys and on-site performance

• Supporting A/B testing and experimentation

• Working with GA4 and SQL/BigQuery to build insights

• Partnering with the GTM team on tracking and data quality

• Contributing to product decisions with actionable data

What we’re looking for:

• Experience in digital or product analytics (not marketing-focused)

• GA4 or Adobe Analytics knowledge

• SQL skills and some experience with BigQuery

• Familiarity with GTM or similar tools

• Comfortable working in a fast-paced, evolving environment

You’ll join a supportive, growing team where analytics plays a key role in business decisions – with lots of opportunities to learn and grow.

Interview process:

• 30-min intro chat

• 1-hour technical interview

• Final face-to-face session with task – fast decisions

Apply now to help shape the future of digital in one of the UK’s biggest retail groups.

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