Senior Data Architect
London / £87000 - £90000 annum
INFO
SALARY:
£87000 - £90000
LOCATION
London
Permanent
Senior Data Architect
Remote (UK) | £87,000 to £90,000 + BenefitsThis is an opportunity to take ownership of data architecture within a large-scale Azure data transformation programme. You'll play a key role in shaping a modern Data Lakehouse environment, driving best practice in data modelling, governance, and analytics while working closely with senior stakeholders across the business.
The Company
This organisation is a well-established UK professional services business that is investing heavily in its data capabilities. Having already modernised its infrastructure and implemented an Azure Data Lakehouse platform, they are now focused on improving data visibility, strengthening governance, and enabling more advanced analytics across the business.
The Role
You will lead data architecture and modelling across a modern cloud platform, ensuring data is structured, governed, and accessible for reporting and analytics.
Responsibilities include:
- Designing enterprise-wide data models within a Medallion Architecture.
- Creating scalable dimensional models and semantic data layers.
- Defining data architecture standards, governance, and best practices.
- Partnering with Data Engineering and Analytics teams to deliver business-critical solutions.
- Acting as the go-to expert for data modelling and architecture across the organisation.
You will have strong commercial experience in:
- Data Architecture and Data Modelling in enterprise environments.
- Dimensional modelling, star schemas, facts and dimensions, and Kimball methodologies.
- Designing semantic or curated data layers within modern cloud platforms.
- Medallion Architecture and Azure Data Lakehouse environments.
- Data governance, standards, and architecture best practice.
- Influencing senior stakeholders and translating business requirements into scalable data solutions.
- Professional Services, Legal Services, Banking, or Financial Services environments.
- Supporting organisations through large-scale data transformation programmes.
- £87,000 to £90,000 salary.
- Comprehensive benefits package.
- Remote working, must be UK bsed.
- Significant ownership and influence within a major data transformation.
- High visibility with senior leadership.
- Long-term career progression and the opportunity to become a key authority within the data function.
- Applicants must have full UK working rights.
- Unfortunately, visa sponsorship is not available for this position.
To apply, please apply below or email me at
CONTACT
Madison Barlow
Recruitment Executive
SIMILAR
JOB RESULTS
Senior Pricing Analyst
London
£50000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Pricing Analyst
Cardiff (1 day per week in office) | £65,000
This is an excellent opportunity for a Senior Credit Strategy & Pricing Analyst to take ownership of pricing strategy, advanced analytics, and commercial decision-making within a growing and data-led financial services environment. You will play a key role in shaping lending performance, influencing senior stakeholders, and driving continuous improvement across pricing and credit functions.
The Company
They are a well-established financial services organisation that uses data, analytics, and technology to support strategic business decisions. With a strong focus on innovation and customer outcomes, they invest heavily in analytical capabilities and encourage collaboration across commercial, risk, and product teams.
The business offers a supportive environment where analytical expertise is valued, and employees are given the opportunity to influence key decisions and drive meaningful change.
The Role
- Lead the development and delivery of complex pricing, credit strategy, and analytical projects.
- Conduct advanced data analysis and modelling to support business performance and strategic decision-making.
- Translate complex findings into clear recommendations for senior stakeholders.
- Own and enhance pricing and simulation tools, ensuring accuracy and effective documentation.
- Monitor performance against key business metrics and investigate areas of variance.
- Partner with cross-functional teams to align pricing and credit strategies with wider business goals.
- Support and mentor junior analysts, sharing technical expertise and best practice.
- Drive process improvements and contribute to innovation across analytics and pricing functions.
Your Skills & Experience
- Strong commercial experience within pricing, credit risk, lending strategy, or a related analytical function.
- Advanced SQL and Python skills.
- Experience using Power BI or similar visualisation tools.
- Strong understanding of statistical analysis, modelling techniques, and performance measurement.
- Ability to communicate complex analytical insights to both technical and non-technical stakeholders.
- Experience working with large data sets and translating findings into business recommendations.
- Collaborative approach with the ability to influence stakeholders across multiple functions.
How to Apply
If you’re interested in this Senior Credit Strategy & Pricing Analyst opportunity, apply now to discuss the role in more detail.
To Apply for this Job Click Here
Penetration Tester
London
£500 - £550
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
PENETRATION TESTER
REMOTE (OCCASIONAL TRAVEL TO OFFICE IN BATTERSEA)
OUTSIDE IR35
£500 TO £550 PER DAY
DECEMBER START
This is an opportunity to join a growing in-house cyber security function that is continuing to expand its penetration testing capability across multiple business units. You’ll take ownership of end-to-end testing engagements, working independently while helping shape the future direction of a mature and evolving security programme.
The Company
They are a large international organisation with a diverse portfolio of consumer-focused businesses operating across multiple regions. Over recent years, they have invested significantly in building internal cyber security capabilities, creating a consultancy-style function that supports a broad range of technology environments. Their security team works closely with stakeholders across Europe and Asia, delivering high-quality testing and security assurance services.
The Role and Deliverables
- Lead and deliver end-to-end infrastructure and network penetration testing engagements.
- Perform in-depth assessments of enterprise network architectures and identify security weaknesses beyond standard vulnerability scanning.
- Conduct security testing across network boundaries and complex infrastructure environments.
- Engage directly with stakeholders to scope testing activities and communicate findings.
- Produce clear technical reports and present remediation recommendations to both technical and non-technical audiences.
- Contribute to the ongoing development and maturity of the internal security testing capability.
Your Skills & Experience
- Strong experience delivering infrastructure and network penetration testing engagements.
- Proven capability in assessing complex network architectures and identifying exploitable weaknesses.
- Experience managing the full penetration testing lifecycle independently, from scoping through to reporting.
- Ability to communicate technical findings and recommendations clearly to a range of stakeholders.
- Strong client-facing and report-writing skills.
- Experience working across large, complex environments with multiple stakeholders.
- Exposure to Operational Technology (OT) security testing would be advantageous.
- Experience within telecommunications, retail, critical infrastructure, or similarly complex environments would be beneficial.
- Comfortable collaborating with international teams across different regions and time zones.
How to Apply
If you have strong infrastructure and network penetration testing experience and are looking for a contract opportunity where you can take ownership of testing engagements while contributing to a growing security function, apply today.
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Senior Decision Scientist, Analytics
London
£80000 - £80000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
SENIOR DECISION SCIENTIST, ANALYTICS
London (Hybrid) | Up to £80,000
An exciting opportunity to join a high-growth fintech business where analytics plays a central role in commercial decision-making. This role offers significant exposure to senior stakeholders, complex datasets, and the chance to influence strategy across multiple markets.
THE COMPANY
They are a fast-growing technology-led financial services business operating across international markets. With a strong data-driven culture and ambitious growth plans, they invest heavily in analytics, innovation, and decision science. You will join a collaborative environment where insights directly shape business performance.
THE ROLE
* Develop analytical tools and frameworks to support business and risk decisions.
* Conduct scenario analysis and provide actionable recommendations to stakeholders.
* Analyse large datasets to identify trends, opportunities, and performance drivers.
* Collaborate with Data Science, Engineering, Finance, and Commercial teams on strategic initiatives.
* Present insight-led findings to both technical and non-technical audiences.
YOUR SKILLS & EXPERIENCE
* Strong experience in analytics, decision science, data science, or a related quantitative field.
* Advanced SQL and Python skills.
* Excellent statistical and problem-solving capabilities.
* Experience translating complex analysis into commercial recommendations.
* Strong stakeholder management and communication skills.
WHAT THEY OFFER
* Salary up to £80,000 depending on experience.
* Comprehensive benefits package.
* Clear progression opportunities within a growing business.
* Collaborative, high-performing, and data-driven culture.
HOW TO APPLY
Apply today to learn more about this Senior Decision Scientist opportunity.
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Senior Decision Scientist, Model Validation
London
£80000 - £80000
+ Risk Analytics
PermanentLondon
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SENIOR DECISION SCIENTIST, MODEL VALIDATION
London (Hybrid) | Salary up to £80,000
Join a high-growth fintech business where data-driven decision making sits at the heart of commercial success. This is an opportunity to take ownership of model validation, credit decisioning and risk analytics in a fast-paced environment, helping shape lending strategies across multiple products and markets.
The Company
They are a rapidly scaling financial technology organisation delivering innovative lending solutions. With strong backing, ambitious growth plans and an expanding international presence, they continue to invest heavily in analytics, risk and data capabilities. Their culture is collaborative, commercially focused and driven by evidence-based decision making.
The Role
You will play a key role in strengthening model oversight and credit decisioning processes, working closely with Data Science, Risk, Engineering and Commercial teams.
Responsibilities include:
- Leading independent validation of credit risk and decisioning models.
- Assessing model performance, calibration, stability and suitability for business use.
- Building monitoring frameworks for model performance, data quality and decision outcomes.
- Identifying, investigating and resolving model, data and implementation issues.
- Presenting insights and recommendations to both technical and senior business stakeholders.
Your Skills & Experience
- Strong experience in decision science, credit risk analytics, model validation or a similar quantitative discipline.
- Advanced SQL and Python skills for analysis, validation and monitoring.
- Strong statistical knowledge with the ability to evaluate and challenge predictive models.
- Experience working across the full model lifecycle, including validation, calibration and monitoring.
- Ability to communicate complex technical concepts to non-technical stakeholders.
- Experience within lending, financial services, commercial credit or related sectors is advantageous.
What They Offer
- Competitive base salary plus performance-related bonus.
- Comprehensive benefits package including private medical cover and enhanced family leave.
- Flexible hybrid working model.
- Clear career progression within a growing analytics and risk function.
- Exposure to international markets, complex data challenges and senior business stakeholders.
- Collaborative, high-performing and data-led culture.
How to Apply
If you are an experienced Decision Scientist with strong model validation and credit risk expertise, apply today!
To Apply for this Job Click Here
Head of Data Science
London
£120000 - £140000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
HEAD OF DATA SCIENCE
London (Hybrid) | £120,000 – £140,000 + Equity
This is an opportunity to lead the data science strategy for a rapidly growing fintech business where AI, machine learning, and data-driven decision making sit at the heart of the organisation. You’ll play a key role in shaping risk and affordability modelling capabilities while building solutions that directly influence business performance and customer outcomes.
The Company
They are a high-growth financial services organisation using technology and data to transform customer experiences within consumer lending. With strong backing and ambitious growth plans, they are investing heavily in AI, analytics, and automation to drive smarter decision making across the business. This is a business where innovation is encouraged and technical leaders can have a significant impact.
The Role
- Define and lead the data science strategy across risk, affordability, and decisioning.
- Develop and deploy machine learning models that support lending decisions.
- Drive the adoption of AI and advanced analytics solutions across the organisation.
- Partner closely with Product, Engineering, Credit Risk, and Operations teams.
- Own model deployment, monitoring, governance, and performance evaluation.
- Present insights and recommendations to senior stakeholders and leadership teams.
Your Skills & Experience
- Strong commercial experience in credit risk modelling within consumer lending or financial services.
- Hands-on expertise in Python, SQL, machine learning, and predictive modelling.
- Experience deploying models into production environments and monitoring performance.
- Knowledge of AI, LLMs, or agent-based technologies in real-world applications.
- Strong stakeholder management and communication skills.
- Ability to balance technical excellence with commercial objectives.
What They Offer
- Salary of £120,000 – £140,000 depending on experience.
- Equity participation.
- Private healthcare and enhanced pension contribution.
- Generous holiday allowance.
- Clear scope for leadership, ownership, and career progression.
How to Apply
If you’re interested in leading a high-impact data science function within a fast-growing fintech environment, apply today to find out more.
To Apply for this Job Click Here
Senior AI/ML Engineer (Contract)
London
£550 - £625
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
£625 per day | Outside IR35 | 3-6 Month Contract
The Opportunity
An exciting opportunity has arisen for a Senior AI/ML Engineer to join a highly innovative team operating within a large global organisation. Working in a startup-style environment, you’ll play a critical role in shaping and delivering the next generation of Generative AI products.
This team is focused on building AI-powered MVPs, validating product-market fit, and creating scalable solutions that can be adopted across a broader enterprise landscape. They’re looking for an experienced engineer who can bring technical leadership, engineering discipline, and a pragmatic approach to turning ambitious AI concepts into reliable, production-ready solutions.
The Role
This is a hands-on contract position where you’ll provide technical oversight and help establish best practices across AI engineering, MLOps, deployment, and productionisation.
You’ll be expected to quickly assess existing approaches, improve technical foundations, and help ensure the team is building solutions that are secure, scalable, and maintainable.
Key Responsibilities
- Review and validate AI solution architectures and engineering approaches.
- Bring engineering rigour and governance to AI product development.
- Establish coding standards, testing practices, and development workflows.
- Productionise machine learning and Generative AI solutions.
- Develop and maintain ML pipelines and deployment frameworks.
- Implement monitoring, logging, observability, and model performance tracking.
- Conduct LLM security assessments, including prompt injection testing and mitigation.
- Collaborate closely with Data Scientists, Engineers, Product stakeholders, and external partners.
- Support the team in moving from experimentation to robust, scalable delivery.
- Provide hands-on technical guidance while remaining actively involved in development.
Technology Stack
Essential Experience
- Expert-level Python development
- Azure cloud platform
- Databricks
- MLflow
- Containerised environments (Docker or similar)
- Machine learning pipeline development
- CI/CD and deployment automation
- Software engineering best practices and automated testing
- Jupyter Notebooks
AI & Machine Learning Expertise
- Generative AI applications
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Vector databases
- NLP and content generation platforms
- Prompt engineering
- AI application architecture
- Model monitoring and governance
- LLM security and evaluation
Desirable Experience
- Startup or scale-up environments
- Conversational AI and chatbot development
- Healthcare, life sciences, or regulated industry experience
- Responsible AI and AI governance initiatives
- Product-focused AI engineering
Candidate Profile
We’re looking for a practical, delivery-focused engineer who is comfortable operating in ambiguous and fast-moving environments.
You’ll likely have:
- A strong software engineering background combined with modern AI/ML expertise.
- Experience building and deploying AI products in production environments.
- A systems-thinking approach to architecture and technical decision-making.
- Strong stakeholder communication and collaboration skills.
- The confidence to challenge assumptions and improve technical direction.
- A product-oriented mindset, understanding how technology delivers business value.
- A passion for creating scalable, maintainable AI solutions rather than simply building prototypes.
This role would suit someone who enjoys bringing structure and clarity to complex technical challenges and helping teams deliver high-quality AI products.
Team Structure
You will work alongside:
- Product Manager
- Data Scientists
- Python Engineers
- AI Engineers
- Solution Architect
- Front-End Developers
- External Delivery Partners
This is a senior individual contributor role with significant technical influence but no direct line management responsibilities.
Why Apply?
- Join a high-impact Generative AI programme.
- Work on cutting-edge AI products and platforms.
- Influence technical architecture and engineering standards.
- Enjoy startup-style autonomy with enterprise-scale backing.
- Make a visible impact from day one.
- Collaborate with a highly skilled multidisciplinary team.
Package
Contract Length: 3-6 Months
Day Rate: £625 per day
IR35 Status: Outside IR35
Location: Hybrid
Start Date: ASAP
Key Skills
Python | Azure | Databricks | MLflow | Generative AI | LLMs | NLP | RAG | Vector Databases | MLOps | Docker | Prompt Engineering | AI Engineering | Machine Learning
Short Overview
Senior AI/ML Engineer required to build and productionise cutting-edge Generative AI solutions using Python, Azure, Databricks and modern LLM technologies.
To Apply for this Job Click Here
Martech Transformation Lead
London
£500 - £600
+ Digital Analytics
ContractLondon
To Apply for this Job Click Here
London | Inside IR35
Hybrid – Minimum 2 days on site
Contract Length 3 – 6 months
This is a high impact transformation assignment for a senior technology leader who can shape the architecture, platforms and data foundations required to enable an AI-driven operating model. You will play a pivotal role in aligning technology, data and business stakeholders while ensuring complex enterprise platforms are ready to support future innovation at scale.
The Company
They are a large, complex organisation undertaking a significant technology and operating model transformation. With a strong focus on data, AI and platform modernisation, they are investing in the capabilities required to deliver more intelligent, connected and scalable customer experiences. This programme sits at the intersection of technology, data and business transformation, making it a highly visible and strategically important initiative.
The Role and Deliverables
- Define and govern the target technology architecture supporting an AI-enabled operating model.
- Develop platform integration strategies and pragmatic implementation roadmaps across enterprise systems.
- Assess technology and data readiness, identifying gaps, dependencies and key architectural risks.
- Coordinate technology, data and platform stakeholders to align delivery across multiple functions.
- Provide architectural assurance and challenge technology decisions to ensure scalable, sustainable outcomes.
- Oversee platform ownership, supplier engagement and governance frameworks within a regulated environment.
Your Skills & Experience
- Strong experience leading complex technology transformation, enterprise architecture or platform modernisation programmes.
- Deep understanding of enterprise architecture, integration patterns, APIs, data architecture and platform ecosystems.
- Strong knowledge of AI and agentic technologies, including the infrastructure, orchestration, governance and data capabilities needed to scale them effectively.
- Proven ability to define target state architectures and translate strategic objectives into practical delivery roadmaps.
- Experience navigating large enterprise technology landscapes and influencing senior technology and business stakeholders.
- Strong understanding of technology governance, security, risk management and architectural assurance.
- Experience managing technology dependencies, supplier relationships and platform ownership responsibilities.
- Exposure to marketing technology ecosystems such as Adobe, Pega, Workfront, Microsoft and related data or AI platforms is highly desirable.
- Ability to engage confidently with senior technology leaders and business executives, balancing technical and commercial considerations.
Please apply below to discuss this contract opporunity further.
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Fraud Analyst
London
£275 - £300
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
Fraud Analyst – Decision Intelligence
Location: Remote (UK)
Duration: 3-Month Contract
Rate: Up to £300 per day (Inside IR35)
The Company
We’re working with a high-growth FinTech looking to strengthen its Fraud Decision Intelligence capability during a busy period whilst they build out the permanent team.
This is an opportunity to join a data-driven fraud function focused on moving from a reactive to a proactive approach to fraud prevention. You’ll work closely with fraud, product and data stakeholders to identify trends, uncover opportunities and improve fraud controls across a payments environment.
The Role
Joining the Decision Intelligence team, you’ll use data to investigate fraud trends, analyse transaction behaviour and support the optimisation of fraud controls and decisioning strategies.
You’ll be expected to work independently, proactively identifying opportunities for improvement and helping shape how fraud is detected and prevented across the business.
Key responsibilities include:
- Analysing fraud and transaction data using SQL
- Identifying emerging fraud trends and risks
- Supporting fraud decisioning and rule optimisation activities
- Investigating control performance and recommending improvements
- Using BI tools to interrogate and visualise data
- Working with stakeholders to translate insights into actionable recommendations
- Supporting a more proactive fraud prevention strategy
Skills & Experience
We’re looking for candidates with:
- Strong SQL skills and experience working with large datasets
- Experience using BI tools such as Looker, Tableau, Power BI or similar
- Previous experience within fraud analytics, fraud strategy, fraud prevention or fraud risk
- Payments, cards or wider FinTech experience
- Experience identifying trends and producing actionable insights
- Strong stakeholder management and communication skills
- Ability to work independently in a fast-paced environment
Desirable
- Experience with fraud decisioning platforms
- Exposure to fraud rule design, implementation or optimisation
- Python for automation and analysis
- Experience balancing fraud prevention against customer experience and approval rates
To Apply for this Job Click Here
Head of Data Science – Credit Risk
London
£120000 - £140000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
HEAD OF DATA SCIENCE – CREDIT RISK
£120,000-140,000 (dependent on experience)
London – 3 days in office
Great opportunity with a scaling FinTech lender in the UK. This business offer a fast-paced and driven work environment, with a really collaborative team culture that encourages employee development and growth.
THE COMPANY
This dynamic and fast-paced lender is seeking a driven and experienced individual to join their team to own their modelling function, across credit risk, collections, fraud and more. You’d work as an Individual Contributor to lead the Data Science function to make an impact on business performance.
THE ROLE
- Develop a range of credit models within the business, predominantly scorecards and broader decisioning models
- Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business
- Own implementation and impact of predictive models across the product suite
YOUR SKILLS AND EXPERIENCE:
- Essential to have experience developing predictive models
- SQL and Python experience is essential
- Highly desirable to have had experience in Consumer Lending and a strong understanding of the credit lifecycle
- Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech is a plus
SALARY AND BENEFITS
- Base salary from £120-140,000 depending on experience
- Private medical care
- 25 days holiday
- Cycle to work scheme
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link
To Apply for this Job Click Here
Senior Data Engineer
Addison, TX
$140000 - $160000
+ Data Engineering
PermanentAddison, Texas
To Apply for this Job Click Here
Senior Data Engineer
Location: Dallas/Addison, TX (Hybrid – 3 Days Onsite)
Salary: $140,000-$160,000 Base
About the Opportunity
We are partnering with a growing, private equity-backed organization seeking a Senior Data Engineer to help build and scale its enterprise data infrastructure.
The company is undergoing a significant data modernization initiative, transitioning from fragmented systems and reporting environments to a centralized data platform built on Snowflake.
This individual will work alongside an external consulting partner during the initial implementation before taking full ownership of the backend data environment. This is an excellent opportunity for a hands-on engineer who enjoys building scalable solutions, driving data quality improvements, and working closely with business stakeholders.
Key Responsibilities
- Lead the development, optimization, and ongoing management of the Snowflake data warehouse environment.
- Partner with external consultants during implementation and transition into primary technical ownership of the platform.
- Design, build, and maintain scalable ETL/ELT pipelines, data integrations, and transformations using SQL, Python, and modern data engineering tools.
- Improve data integrity, consistency, and governance across multiple business systems and departments.
- Collaborate with technical and nontechnical stakeholders to translate business requirements into scalable data solutions.
- Support data architecture, modeling, documentation, and integration with BI platforms such as Domo.
- Help establish data engineering best practices and support future analytics and AI initiatives.
Required Qualifications
- 7+ years of experience in Data Engineering, Data Warehousing, or related disciplines.
- Strong hands-on experience with Snowflake, SQL, and Python.
- Experience building and maintaining ETL/ELT pipelines, data models, and warehouse environments.
- Exposure to data warehouse implementations, migrations, or modernization projects.
- Strong understanding of data quality, integration, and architecture best practices.
- Ability to independently own technical projects and communicate effectively with nontechnical stakeholders.
Preferred Qualifications
- Experience with dbt, Fivetran, or similar data transformation and ingestion tools.
- Familiarity with Domo or other BI/reporting platforms.
- Experience integrating data from ERP, operational, or field service management systems.
- Background in smaller data teams, high-growth businesses, or PE-backed organizations.
- Exposure to data governance, medallion architecture, or AI/ML infrastructure.
Why Consider This Opportunity?
- Technical Ownership: Take ownership of a modern enterprise data platform from implementation through long-term development.
- Greenfield Opportunity: Help shape the architecture, processes, and standards of a growing data environment.
- Business Impact: Work directly with stakeholders and influence how data drives business decisions.
- Growth Potential: Opportunity to expand into technical leadership and contribute to future AI initiatives.
Work Authorization: Must be authorized to work in the U.S. without current or future sponsorship.
If you’re a hands-on Data Engineer looking for an opportunity to build, own, and scale a modern data environment, we’d love to hear from you!
To Apply for this Job Click Here
Associate Director Qualitative Research
London
£60000 - £65000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
This is an exciting opportunity for an experienced qualitative research leader to join a growing insights and research business operating within the healthcare and life sciences sector. The role combines strategic client leadership, operational excellence, and people management, offering significant scope to shape team performance and client outcomes.
The Company
They are a well-established international research and insights organisation supporting clients across healthcare, pharmaceutical, biotech, and life sciences industries. Their work helps organisations make informed commercial and strategic decisions through high-quality research and consultancy services. With a collaborative and supportive culture, they are committed to delivering exceptional client outcomes while investing in the development of their people.
The Role
As Associate Director, Qualitative Research, you will lead a team responsible for delivering complex qualitative research projects for healthcare and pharmaceutical clients.
Key responsibilities include:
- Leading, coaching, and developing a team of qualitative research professionals
- Managing team performance, workload allocation, and professional development
- Building and maintaining strong relationships with healthcare, pharmaceutical, and life sciences clients
- Overseeing end-to-end project delivery, ensuring projects are delivered on time, within budget, and to a high standard
- Managing project escalations and driving solutions to operational challenges
- Partnering with senior stakeholders to improve processes, systems, and service delivery
- Supporting commercial performance, project profitability, and client retention
- Driving client service excellence across key accounts
- Identifying opportunities to enhance operational efficiency and team effectiveness
- Contributing to the development of best practice standards across research operations
Your Skills & Experience
- Strong qualitative market research experience within healthcare, pharmaceutical, medical device, biotech, or life sciences sectors
- Proven people management experience, including coaching, mentoring, and performance management
- Leading complex research projects from initiation through to delivery
- Experience managing client relationships and providing consultative support to stakeholders
- Strong project delivery and operational management capabilities
- Commercial awareness with an understanding of project profitability and client account management
- Good communication and stakeholder management skills
- Ability to work collaboratively across multiple teams and functions
What They Offer
- Performance-related bonus
- Clear progression opportunities into senior leadership roles
To Apply for this Job Click Here
Data Analyst
Windsor
£60000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentWindsor, Berkshire
To Apply for this Job Click Here
Data Analyst
This is an opportunity to join a PE-backed business building its data and analytics capability. You’ll work across data science, machine learning, and data modelling projects that support operational and commercial decision-making.
They are investing in data, AI, and cloud technologies to improve processes and support growth. The analytics team works closely with stakeholders across the business to deliver reporting, forecasting, and machine learning solutions.
The Role
You will:
- Clean, transform, and prepare data from multiple sources
- Build and maintain data models within a cloud data platform
- Develop predictive models for workforce, occupancy, and operational forecasting
- Work with Snowflake or Databricks to support analytics and machine learning use cases
- Create features and datasets for modelling and reporting
- Deploy and monitor machine learning models
- Support data quality, governance, and documentation
- Partner with stakeholders to identify and deliver analytical solutions
Your Skills & Experience
- Strong Python skills, commercial experience in advanced analytics
- Experience with data wrangling and data cleaning
- Experience designing and maintaining data models
- Experience working with Snowflake and/or Databricks
- Knowledge of predictive modelling, forecasting, and classification techniques
- Experience working with cloud-based data environments
- Ability to work with both technical and non-technical stakeholders
To Apply for this Job Click Here
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