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Associate Consultant, Data and AI

London – Hybrid

The Company
They are an established international consultancy with a strong reputation across multiple industries, including healthcare, life sciences, transport and logistics. They are investing heavily in data, AI and digital capabilities, with a clear focus on building user centric, data driven products. Their approach blends strategy with execution, enabling teams to move from insight to tangible outcomes. This creates a unique environment where data professionals work closely with design and engineering teams to deliver impactful solutions.

The Role
You will contribute to both client delivery and internal innovation, working as part of a collaborative, cross functional data team.
Key responsibilities include:
* Delivering data science and analytics solutions to solve complex business problems
* Building internal tools and contributing to the development of data and AI products
* Conducting statistical analysis and regression modelling to generate insights
* Creating dashboards and visual outputs for business stakeholders
* Supporting AI workflow development, including exposure to large language models
* Working with cloud technologies, particularly Azure, to support deployment
* Collaborating with front end and UI teams to create user focused data products

Your Skills and Experience
* Strong commercial experience in data analytics, data science, or consulting environments
* Proficiency in Python, including libraries such as Pandas, NumPy and scikit learn
* Strong SQL skills and experience working with structured data
* Solid understanding of statistical analysis and regression techniques
* Exposure to cloud platforms, ideally Azure, and an understanding of deployment processes
* Experience working in cross functional teams, ideally alongside engineers or product teams

What They Offer
* Hybrid working with a London office base
* Structured learning and development, including dedicated time for upskilling
* Clear progression opportunities within a growing data and AI capability
* The chance to shape AI initiatives and contribute to product strategy

How to Apply
If you are keen to apply your data and AI skills in a consulting and product focused environment, apply now to learn more.

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HOME RISK PRICING MANAGER

UP TO £70,000 + BENEFITS AND CAR ALLOWANCE

WEST MIDLANDS

HYBRID, 1 DAY A WEEK IN OFFICE

Are you looking to join a leading insurance provider with ambitious growth plans and a strong focus on data, pricing and innovation? Become a manager, leading a small team to deliver pricing strategy and performance. Analyse multiple data sources to identify pricing opportunities and develop new insights through the integration of new data sets and innovative techniques.

THE COMPANY

A leading UK insurer with a strong digital focus, providing personal lines products to millions of customers. Significant investment has been made in data, pricing and technology to support growth and improve customer outcomes. The organisation operates in a highly analytical environment, with a strong emphasis on data-driven decision-making, collaboration and continuous improvement, offering the opportunity to contribute to a forward-thinking and evolving business.

THE ROLE

As a Home Risk Pricing Manager, you will lead a team of analysts while using data-driven insights to optimise pricing strategy, improve risk segmentation, and support growth across the portfolio.

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

• Optimise how models are combined to enhance pricing algorithms
• Lead and prioritise a team of analysts to deliver pricing strategy and performance
• Analyse multiple data sources to identify pricing opportunities
• Identify segments for pricing improvement and implement changes
• Coach, mentor and support team members
• Understand what data trends mean commercially for the business

SKILLS AND EXPERIENCE

The successful Home Risk Pricing Manager will have the following skills and experience:

• Strong background in consumer/personal lines insurance (home, motor, van)
• Excellent analytical and problem-solving skills
• Prior leadership experience
• Commercially minded with a drive to challenge and improve
• Proficiency in Python, R or SQL

BENEFITS

The successful Home Risk Pricing Manager will receive a salary up to £70,000 as well as a comprehensive benefits package.

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Senior Credit Risk Modeller (6 month FTC)

Salary
100k salary Pro-rated

Location + work pattern
London – 4 days per week in office (with some flexibility)

The Company
This organisation is a growing, niche lender operating across multiple product lines including property and asset finance. With a strong focus on risk management and regulatory alignment, they are investing heavily in modernising their credit modelling capabilities and governance frameworks.

The Role
You will take the lead on redesigning and enhancing a suite of credit risk models, ensuring they are robust, compliant, and aligned with evolving regulatory requirements. This is a hands-on role with significant ownership across both technical delivery and stakeholder engagement.
Specifically, you can expect to be involved in:

• Leading redevelopment of credit risk rating, ICAAP and stress testing models
• Designing and implementing PD, LGD and expected loss frameworks across portfolios
• Enhancing model risk sensitivity and improving overall model performance
• Managing model lifecycle processes including testing, documentation, and governance
• Collaborating with risk, finance, and lending teams to ensure models are understood and effectively utilised

YOUR SKILLS AND EXPERIENCE

• Strong experience developing credit risk models (e.g. scorecards, stress testing, ICAAP, or IFRS 9 models)
• Solid understanding of key risk metrics including PD, LGD and EAD
• Proficiency in Python or R for modelling and data analysis
• Experience working with large datasets and data tools (e.g. SQL, Excel)
• Ability to communicate technical concepts clearly to non-technical stakeholders

THE BENEFITS

• Opportunity to lead a high-impact modelling transformation project
• Exposure to a broad range of credit portfolios and risk frameworks
• Collaborative and evolving risk function environment

THE PROCESS

• Initial interview
• Technical assessment / case study
• Final stage interview
• Offer!

HOW TO APPLY
Please register your interest via the apply link on this page.

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Senior Forensics Analytics Manager

Salary
£90,000-£105,000

Location + work pattern
London (2 days per week in the office)

THE COMPANY
This organisation is a globally recognised consulting firm operating across financial services and other regulated industries. Their specialist forensics function focuses on helping clients investigate and mitigate financial, legal, and regulatory risks using advanced analytics and emerging technologies. The team is investing heavily in AI and data capabilities to support complex, high-impact client engagements.

THE ROLE
This is a senior leadership position combining hands-on project delivery with team management and business development responsibilities. You will lead complex data-driven forensic investigations whilst working closely with clients and contributing to the growth of the practice.
Specifically, you can expect to be involved in:

• Leading data and AI-driven forensic projects, including data ingestion, analysis and modelling
• Managing and mentoring a team of data professionals across multiple engagements
• Working directly with clients to deliver insights and communicate findings clearly
• Supporting business development activities, including developing new client relationships
• Delivering projects focused on regulatory investigations, fraud, and financial risk

YOUR SKILLS AND EXPERIENCE

• Strong experience in data analytics and AI within a regulated environment (e.g. financial services, lending, or fraud)
• Proven ability to lead teams and manage large-scale data-focused projects
• Experience engaging with clients and presenting technical outputs to non-technical stakeholders
• Commercial awareness with experience supporting or driving business development activities
• Technical capability across SQL, Python, and cloud platforms (e.g. Azure, AWS or GCP)
• Familiarity with data engineering tools and platforms such as Databricks

THE BENEFITS

• Competitive salary and benefits package
• Opportunity to work on high-profile, complex engagements
• Access to cutting-edge data and AI technologies
• Strong career development and leadership opportunities
• Inclusive and collaborative working environment

THE PROCESS

• Initial interview
• Technical or competency-based interview
• Final interview
• Offer!

HOW TO APPLY
Please register your interest via the apply link on this page.

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Data Analyst

London (hybrid, 2 days per week in office) | £50,000 salary
No sponsorship offered now or in the future

This is an opportunity to join a growing data and analytics consultancy where analysis directly shapes commercial decisions. You will work on varied, client facing projects, combining multiple data sources to uncover insight and deliver practical, actionable outcomes. The role offers breadth, autonomy, and exposure to a wide range of industries, making it ideal for someone who enjoys solving open ended business problems with data.

The Company

They are a well established UK data and analytics consultancy that also develops proprietary data and analytics products. Their work combines large scale data provision with analytics, modelling, and insight delivery to help organisations better understand customers and drive performance. The business operates as a solutions led consultancy, partnering closely with clients rather than delivering off the shelf analysis.

The Role

As a Data Analyst, you will sit within a collaborative analytics team working alongside data scientists, industry specialists, and project managers. You will play a key role in translating complex data into clear insight for clients.

Key responsibilities include:

• Working directly with clients to gather requirements and understand business challenges
• Exploring, cleaning, and analysing large and complex datasets from multiple sources
• Delivering insight through analysis, reporting, and dashboards
• Presenting findings and recommendations clearly to non technical stakeholders
• Supporting both project based consultancy work and ongoing managed service delivery
• Taking ownership of analytical outputs in a delivery focused environment

Your Skills and Experience

• Strong commercial experience in a data or analytics role
• Advanced SQL skills, with the ability to work confidently with relational databases
• Experience using Python for data analysis is highly desirable
• Experience building dashboards in Power BI, or similar tools such as Tableau or Qlik
• Confidence working with ambiguous or incomplete data and asking the right questions
• Comfortable presenting insights and recommendations to clients
• Consultancy or client facing experience is highly advantageous

What They Offer

• Salary – £50,000
• Hybrid working, with two days per week in a London office
• Exposure to a wide variety of industries and analytical challenges
• Strong learning opportunities through hands on client work and collaboration with experienced analytics professionals
• Clear scope for progression within a growing analytics team

How to Apply

If you are looking for a client facing Data Analyst role with variety, responsibility, and real impact, please apply to find out more.

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CRO Consultant1-2 Days in office – Egham
Up to 60k

This is an excellent opportunity to join a fast-growing experimentation and optimisation environment where you will take full ownership of client programmes and see the direct impact of your work. You will work across a diverse portfolio of enterprise clients, delivering insight-led testing strategies that genuinely influence digital performance and customer experience.

The Company
They are an established and rapidly scaling digital experimentation and personalisation specialist, working with a wide range of well-known enterprise clients across multiple sectors. Their focus is on helping organisations make smarter, data-driven decisions through testing, analytics, and continuous optimisation. They pride themselves on a collaborative and supportive culture that encourages curiosity, innovation, and ongoing learning.

The Role
You will lead end-to-end optimisation programmes, partnering closely with stakeholders to identify opportunities and deliver measurable results.

• Own the experimentation lifecycle from ideation through to analysis and recommendations
• Develop hypotheses based on data, user behaviour, and business objectives
• Plan and manage testing roadmaps aligned to client goals
• Analyse experiment results and provide clear, actionable insights
• Deliver detailed reports and presentations to stakeholders
• Lead regular client check-ins and strategy discussions
• Maintain clear documentation of tests, outcomes, and learnings
• Collaborate with technical and analytics teams to ensure smooth delivery
• Use tools such as Jira and Tempo to manage workflow and timesheets

Your Skills & Experience

• Strong commercial experience in conversion rate optimisation and experimentation
• Confident designing and analysing A/B and multivariate tests
• Experience working with experimentation platforms such as VWO or similar
• Strong stakeholder management and communication skills
• Ability to translate data into clear business recommendations
• Experience working in agency, vendor, or in-house environments
• Solid understanding of digital analytics and user behaviour
• Comfortable working across multiple projects and client accounts

What They Offer

• Competitive salary up to £60,000
• Flexible and hybrid working options
• Exposure to a diverse portfolio of enterprise clients
• Opportunity to develop across experimentation and advanced analytics
• Supportive environment with strong career progression opportunities
• Comprehensive benefits package including healthcare and wellbeing support

How to Apply
If you are passionate about experimentation and want to make a measurable impact through data-driven decision making, apply now to find out more.

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DATA ANALYST
LONDON/HYBRID
UP TO £50,000

This is an opportunity to join a highly respected data and analytics consultancy that combines rich data assets with advanced analytics to solve complex commercial problems. You will work on varied, client-facing projects, helping organisations unlock value from their data while developing your own consulting and technical skill set.

ROLES AND RESPONSIBILITIES:
The Data Analyst will:

• Gather requirements and understanding client business challenges
• Conduct data discovery and exploratory analysis
• Clean, structure, and analyse complex datasets
• Produce insights through reporting, dashboards, and visualisations
• Present findings clearly to both technical and non-technical stakeholders
• Collaborate with project managers, data scientists, and industry specialists
• Support both new project work and ongoing managed service engagements
• Work across a variety of use cases including customer segmentation, revenue analysis, and data integration projects

YOUR SKILLS AND EXPERIENCE:

The ideal candidate will have the following skills and experience:

• Strong commercial experience in a Data Analyst or similar analytics role

• Advanced SQL skills for data manipulation and querying
• Experience with Python for data analysis is highly desirable
• Proficiency in Power BI or similar BI tools such as Tableau or Qlik
• Experience working with large, complex datasets and multiple data sources
• Strong problem-solving and analytical thinking capability
• Confident communication skills with experience presenting to stakeholders
• Ability to work in a client-facing environment and manage ambiguity
• Consultancy or client-facing experience is advantageous but not essential

APPLY BELOW!

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Software Engineer (Platform)

Location: New York City (On‑site, 5 days per week)
Pay: $200,000 – $440,000 Base + Equity

Overview

This is an opportunity to join a high‑growth, AI‑driven technology company operating at the cutting edge of predictive intelligence and large‑scale simulation. The organisation builds advanced platforms that enable customers to model complex human behaviour and make high‑impact decisions in rapidly changing environments.
The team is intentionally small, highly autonomous, and mission‑driven. Engineers are trusted with real ownership, minimal bureaucracy, and the expectation to move quickly while maintaining intellectual rigour. The environment suits individuals who enjoy building foundational systems, tackling ambiguous problems, and delivering work with visible, real‑world impact.

Responsibilities

• Design and build core platform infrastructure that underpins the company’s simulation technology
• Develop highly leveraged, framework‑level systems that abstract complexity for users and internal teams
• Partner closely with research and product teams to enable new capabilities and scale existing ones
• Identify common patterns across customer use cases to significantly expand platform impact
• Improve developer experience and usability across tools and interfaces
• Balance speed of delivery with long‑term technical quality and scalability
• Contribute to architectural decisions that support rapid product evolution

Must‑Have Qualifications

• Professional experience as a Software Engineer working on platforms, infrastructure, or core systems
• Strong background building scalable, production‑grade software systems
• Experience simplifying complex technical problems into usable abstractions
• Exposure to products serving users with varying levels of technical expertise
• Comfortable operating in fast‑moving, high‑ownership environments
• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)

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Conversion Optimisation Consultant

Egham (Hybrid)

£60,000 + Bonus

I’m working with a fast-growing experimentation platform that’s hiring a Conversion Optimisation Consultant to take real ownership of client programmes and drive measurable impact through testing, data and UX.

This isn’t a “run tests and report back” role – you’ll be trusted to lead strategy, influence stakeholders, and shape how some well-known brands approach optimisation.

The Role

• Own a portfolio of clients and act as their main point of contact
• Lead optimisation roadmaps and testing strategies
• Develop hypotheses using data, UX insights and experimentation best practice
• Manage the full experimentation lifecycle
• Run weekly check-ins and quarterly strategy sessions with stakeholders
• Translate data into clear, actionable insights that drive performance

About You

• 3+ years in CRO, Digital Marketing, Web Analytics or UX
• Experience in a client-facing or stakeholder-heavy role
• Strong analytical mindset with a passion for data-led decision making
• Solid understanding of web technologies (and able to explain them clearly)
• Organised, proactive, and confident managing multiple projects

Why This Role?

• High level of ownership and autonomy
• Opportunity to influence strategy, not just delivery
• Work with recognised brands across digital
• Join a business that’s growing quickly in the experimentation space

Benefits

• Competitive salary + bonus
• Private medical & dental
• 25 days holiday + 2 volunteering days
• Flexible / hybrid working
• Strong progression and development opportunities
• Supportive, collaborative team environment

How to Apply

Drop me a message directly or apply via Linked-In – happy to walk you through the role!

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