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Analytics Engineer

London (3 days hybrid) | £80,000 + Bonus + Benefits
No sponsorship offered

This is an excellent opportunity for an Analytics Engineer to join a highly data-driven business where analytics sits at the centre of commercial decision-making. You’ll play a key role in shaping trusted, scalable data models used across analytics, reporting, and emerging AI-powered solutions, while working closely with technical stakeholders in a collaborative and fast-paced environment.

The Company

This organisation is a well-established international business with a strong digital and technology focus. They operate at significant scale, generating large volumes of customer and operational data that support decision-making across multiple functions.
With continued investment in data and analytics, they have built a mature analytics function that is focused on driving business impact through trusted, accessible data. Their culture combines the stability of an established organisation with the pace and agility of a modern technology-led business.

The Role

As an Analytics Engineer, you will focus on building and maintaining the analytical data layer that supports reporting, self-service analytics, and AI-enabled use cases. Working alongside Data Engineering and Analytics teams, you will help ensure data is reliable, scalable, and easy to consume.

Key responsibilities include:

• Building and maintaining analytical data models using dbt and SQL.
• Developing and optimising ELT/ETL processes to support analytics use cases.
• Collaborating with Data Engineering teams to prepare and model data for analytical consumption.
• Supporting and enhancing Looker environments, including LookML development.
• Implementing data quality checks, testing, monitoring, and documentation.
• Contributing to wider analytics projects that support business growth and product innovation.
• Identifying opportunities for automation and process improvement.
• Supporting the development of AI-enabled analytics capabilities and improving how contextual data is maintained for analytics tools and chatbots.

Your Skills & Experience

Essential requirements:

• Strong SQL skills with experience building production-grade data models.
• Hands-on experience with dbt.
• Experience designing and maintaining ELT/ETL pipelines.
• Strong experience with Looker and LookML.
• Understanding of data modelling best practices and analytics-focused data architecture.
• Experience working closely with both technical and non-technical stakeholders.
• Google Cloud Platform.
• Airflow, Cloud Composer, or equivalent orchestration tooling.
• Experience supporting AI, conversational analytics, or analytics chatbot solutions.
• Python for automation and data workflows.

What They Offer

• Salary up to £80,000 plus bonus
• Comprehensive benefits package.
• Hybrid working with three days in the office.
• Clear opportunities for career development and progression.
• The chance to influence data standards, modelling practices, and the future direction of analytics engineering within the business.
• Exposure to large-scale datasets, modern cloud technologies, and innovative AI-enabled analytics initiatives.

How to Apply

If you’re an Analytics Engineer with strong dbt, SQL, and Looker experience and are looking for an opportunity to have a genuine impact within a growing data function, I’d love to hear from you. Apply today to find out more.

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Operations Analytics & Insight Lead
London (3 days hybrid) | £100,000 + Bonus + Benefits

Are you an analytics leader who enjoys combining hands-on delivery with strategic influence? This is an opportunity to join a highly data-driven organisation where analytics plays a central role in operational performance, customer experience, automation, and AI-enabled transformation. You’ll have the chance to shape analytics strategy, lead a talented team, and drive measurable business impact across a complex operational environment.

The Company

This organisation is a well-established digital business operating at scale, serving a large global customer base through innovative technology platforms. They have invested heavily in data, analytics, and AI, creating a mature analytics environment where insight directly influences strategic decision-making.

The Role

As the Operations Analytics & Insight Lead, you will be responsible for leading operational analytics strategy while remaining close to delivery. This role combines people leadership, stakeholder management, technical analytics, and process improvement.

Key responsibilities include:

• Leading and developing a team of analysts, supported by analytics engineering resources
• Defining and delivering the analytics roadmap across operational functions
• Partnering with senior stakeholders to prioritise work and influence strategic decisions
• Developing frameworks to measure operational performance, efficiency, and customer outcomes
• Delivering hands-on analysis using SQL, experimentation, and statistical techniques
• Designing and implementing robust measurement methodologies and performance frameworks
• Automating manual reporting and analytical processes to improve scalability
• Supporting AI and automation initiatives through analytics, measurement, and operational insight
• Providing reporting and insight on chatbot, copilot, and AI-enabled operational tools
• Establishing best practices and raising analytical standards across the function

Your Skills & Experience

To be successful in this role, you will bring:

• Proven experience leading and developing analytics teams
• Strong commercial experience setting analytics strategy and influencing senior stakeholders
• Advanced SQL skills with the ability to remain hands-on
• Strong statistical knowledge, including experimentation, significance testing, and performance measurement
• Experience translating complex business challenges into actionable analytical solutions
• Practical experience applying AI tools and automation to improve business processes
• Experience operating within regulated industries, financial services, fintech, or similarly complex environments
• Excellent stakeholder management and communication skills
• A STEM degree is highly desirable and will be viewed favourably

Desirable experience includes:

• dbt, Airflow, and Git
• Looker, Tableau, or similar BI tools
• Python for analytics or automation
• Workforce management, customer service, contact centre, onboarding, KYC, or operational analytics experience
• Building scalable reporting, automation, and self-service analytics capabilities

What They Offer

• Salary up to £100,000
• Performance-related bonus
• Comprehensive benefits package
• Hybrid working model with three days per week in the office
• Leadership responsibility with ownership of a growing analytics function
• Significant exposure to senior decision-makers
• Opportunity to shape analytics strategy and operational transformation
• Involvement in high-profile AI, automation, and digital innovation programmes
• Strong career development and progression opportunities within a data-led organisation

How to Apply

Apply below today!

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Senior Credit Risk Manager

Up to £110,000

London (3 days a week in office)

This is a rare opportunity to join a high-growth consumer lending business in a role focused on innovation, transformation, and the development of new lending capabilities. Rather than maintaining existing credit processes, you will have the autonomy to identify, build, and deliver initiatives that create meaningful commercial impact and enhance customer outcomes.

THE COMPANY

They are a well-established financial services organisation operating within the consumer lending space. With strong foundations already in place across credit risk and lending operations, they are investing heavily in the future of their credit function. Their focus is on innovation, customer value, and developing new ways to approach lending, pricing, and customer engagement. You will join a collaborative environment where new ideas are encouraged, tested, and brought to life.

THE ROLE

As a Senior Credit Risk Manager, you will take ownership of high-impact initiatives from concept through to delivery and measurable business outcomes.

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

• Identifying and delivering new lending, credit, and customer growth initiatives
• Developing new customer segments, lending propositions, and distribution opportunities
• Exploring cross-sell, retention, and customer value enhancement strategies
• Building and implementing innovative credit capabilities and lending strategies
• Assessing commercial opportunities and developing robust business cases
• Using data to evaluate performance, guide decision-making, and quantify impact
• Working closely with Credit Risk, Product, Finance, Commercial, and Operations teams
• Managing initiatives through strategy, execution, launch, and operational handover
• Influencing stakeholders across the business and driving adoption of new approaches

SKILLS AND EXPERIENCE

The successful Senior Credit Risk Manager will have the following skills and experience:

• Strong commercial experience within Credit Risk, Lending, or a related analytical function
• Experience working in a fintech, consumer lending, or fast-paced financial services environment
• Advanced SQL skills and confidence working directly with data
• Python experience is advantageous
• Ability to develop and deliver new ideas rather than solely managing existing processes
• Strong understanding of credit strategy, lending decisioning, pricing, and risk management
• Excellent stakeholder engagement and influencing skills
• A proactive, ownership-oriented approach with the ability to lead initiatives independently
• Comfortable operating in a hands-on individual contributor role

BENEFITS

The successful Senior Credit Risk Manager will receive the following benefits:

• Salary up to £110,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

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ANALYTICS ENGINEER
LONDON/HYBRID
UP TO £80,000

This is an exciting opportunity to join a well-established, data-driven organisation investing heavily in its analytics capabilities. You’ll play a central role in shaping the data models, reporting infrastructure, and analytical foundations that support decision-making across multiple business functions.

ROLES AND RESPONSIBILITIES:
The Analytics Engineer will:

• Design, build, and maintain scalable data models using dbt
• Develop and optimise ELT/ETL processes for analytical use cases
• Support the organisation’s Looker environment, including LookML development
• Work closely with Data Engineering teams to prepare and model data effectively
• Build reliable, well-documented datasets that analysts can confidently consume
• Implement data quality checks, testing, and monitoring processes
• Support analytics projects across marketing, product, commercial, and operational teams
• Contribute to the development of AI-enabled analytics capabilities and conversational analytics tooling
• Identify opportunities to automate, optimise, and improve existing workflows

YOUR SKILLS AND EXPERIENCE:

The ideal candidate will have the following skills and experience:

• Strong commercial experience in Analytics Engineering, Data Engineering, or modern BI development
• Advanced SQL skills with the ability to write efficient, scalable queries
• Hands-on experience with dbt
• Experience with GCP
• Experience with Airflow
• Strong experience building and maintaining ELT/ETL pipelines
• Experience working with Looker and LookML
• Knowledge of dimensional modelling and analytics best practices
• Experience collaborating with both technical and non-technical stakeholders
• Experience working with AI tooling

APPLY BELOW

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Operations Analytics and Insight Lead

Up to £100,000

London/Hybrid

The overview

This is an opportunity to lead a high-impact analytics function within a fast-paced, data-driven organisation. Combining hands-on analytics leadership with strategic influence, you will help shape operational decision-making, drive automation initiatives, and play a key role in the development of AI-powered products and processes.

The Company

They are a well-established digital business with a large international customer base and a strong commitment to data and technology. Analytics sits at the heart of commercial and operational decision-making, with significant investment being made in data capabilities, automation, and AI.

Operating in a dynamic and fast-moving environment, they offer the opportunity to work with large-scale customer and operational datasets while partnering closely with senior stakeholders across the business. Their analytics function is mature, collaborative, and focused on delivering measurable business impact.

The Role

As the Operations Analytics and Insight Lead, you will combine people leadership, hands-on analysis, and strategic planning to improve operational performance and support business growth.

Key responsibilities include:

• Leading and developing a team of analysts while supporting their technical and professional growth
• Setting the analytics strategy for operational functions and influencing senior stakeholder decision-making
• Creating frameworks to measure operational performance and identify opportunities for improvement
• Bringing structure and prioritisation to a reactive analytics environment
• Delivering hands-on analysis, including experimentation, A/B testing, and statistical evaluation
• Automating manual reporting and analytical processes to improve efficiency and scalability
• Supporting AI and chatbot initiatives by developing operational context and performance insight
• Providing analytics and measurement frameworks for internal AI and copilot tools
• Working closely with operational leaders to shape roadmaps and prioritise analytical delivery

Your Skills & Experience

• Strong commercial experience leading analytics teams and developing analytical capability
• Advanced SQL skills with the ability to remain hands-on in technical delivery
• Experience influencing senior stakeholders and translating analysis into business action
• Strong statistical knowledge, including experimentation and significance testing
• Experience working within fintech, financial services, or another regulated environment
• Practical experience using AI tools to improve processes, productivity, or decision-making
• Ability to balance strategic thinking with day-to-day analytical execution
• Experience working with analysts and technical data teams such as analytics engineering is advantageous
• Exposure to operational analytics, customer service analytics, workforce management, process optimisation, or KYC analytics is beneficial
• Experience with tools such as Looker, dbt, Airflow, and Git is advantageous

What They Offer

• Salary of £100,000 plus bonus and benefits
• Hybrid working model with three days per week in the office
• Leadership responsibility for an established analytics team
• Significant exposure to senior stakeholders and business strategy
• The opportunity to influence AI, automation, and chatbot initiatives
• A highly visible role with genuine scope to shape how analytics supports operational performance
• Strong long-term career development within a data-centric organisation

How to Apply

If you are an experienced analytics leader who enjoys combining technical delivery, team leadership, and strategic influence, please apply to learn more about this opportunity.

To Apply for this Job Click Here

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HEAD OF DATA ENGINEERING

£90,000

LONDON

This is a fantastic opportunity to join a globally recognised transportation and logistics organisation as it undergoes a major cloud and data transformation. You’ll take ownership of the data engineering function, shape the long-term strategy, and build a high-performing team that will have a direct impact on business-wide decision making.

THE COMPANY

Our client is a leading international logistics and transportation business operating at global scale. Backed by a major multinational group, they are investing heavily in modernising their technology and data capabilities, transitioning from legacy systems to a cloud-native data platform. This role offers the chance to lead that transformation while building a sustainable in-house engineering capability.

THE ROLE

• Lead, mentor and develop a team of 8-10 Data Engineers across onshore and offshore locations
• Define and deliver the data engineering strategy, roadmap and best practices
• Drive the migration from legacy on-premise technology to a modern AWS and Snowflake data platform
• Build internal capability and reduce reliance on external contractors
• Partner closely with Architecture, Analytics and senior business stakeholders
• Oversee platform reliability, support processes and engineering standards
• Provide technical leadership across data platform and engineering initiatives

YOUR SKILLS AND EXPERIENCE

• Strong background in Data Engineering with previous people leadership experience
• Experience managing engineering teams of roughly 8-10 individuals
• Strong knowledge of Python, SQL, ETL/ELT pipelines and data warehousing concepts
• Experience working with cloud platforms, ideally AWS and Snowflake
• Good understanding of data modelling and modern data architecture principles
• Experience delivering cloud transformation or platform modernisation programmes
• Strong stakeholder management and communication skills
• Comfortable leading teams through organisational change and growth

SALARY AND BENEFITS

• Bonus of up to 40%
• 8% employer pension contribution
• 26 days holiday plus bank holidays
• Option to purchase up to 5 additional holiday days
• Life assurance and personal accident cover
• Free on-site gym access
• Opportunity to work overseas for up to one month per year
• Hybrid working model (3 days per week in office)

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack through the ‘Apply’ link.

To Apply for this Job Click Here

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Analytics Engineer (DBT, GCP, LOOKER)

Permanent Role

£70,000-£80,000 + Benefits
London – Hybrid (3 days per week)

I am currently recruiting for an Analytics Engineer to join a leading global organisation within their growing Data & Analytics function.

This is a hands-on role where you will take ownership of the modelled data layer, working with dbt and BigQuery to build the data products that underpin reporting, self-service analytics and data activation across the business.

You will work closely with Data Engineering, analysts and wider stakeholders, helping to evolve the data warehouse into a scalable global platform and shaping best practices around data modelling, quality and documentation.

The Role:

• Design, build and maintain staging, mart and analytics models using dbt and BigQuery
• Develop scalable data models supporting multiple regions and entities
• Build and maintain data models powering Looker / LookML
• Implement data quality through dbt testing, monitoring and alerting
• Work with Data Engineering around upstream dependencies and data contracts
• Maintain data lineage, documentation and metric definitions
• Review SQL and dbt work and help improve modelling standards
• Optimise query performance, costs and deployment workflows
• Support the use of AI / LLM tools on top of well-modelled data

What we’re looking for:

• 3+ years’ experience across Analytics Engineering, Data Engineering or BI Development
• Strong SQL skills with experience building production data models
• Hands-on experience with dbt, including models, tests, macros and documentation
• Strong production experience with BigQuery
• Experience using Python for data work and automation
• Experience with Airflow or Cloud Composer
• Strong understanding of dimensional data modelling
• Experience with Looker / LookML or a similar BI platform
• Good understanding of Git and modern data development practices

Desirable:

• Wider GCP experience
• Experience working with Kafka / event data
• Experience migrating or restructuring data warehouses
• Experience supporting global or multi-region data platforms
• Interest in AI / LLM applications within data and analytics

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

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Analytics Engineer

Up to £80,000

London/Hybrid

The Overview

This is an excellent opportunity for an Analytics Engineer to join a highly data-driven organisation where analytics is central to commercial decision-making. You’ll focus on building scalable data models, improving analytics capabilities, and helping shape the foundations that enable analysts and stakeholders to make better decisions across the business.

The Company

They are a well-established, technology-led business operating at scale, with a strong focus on digital products, customer experience, and data-driven growth.

Data and analytics are heavily invested in across the organisation, creating a collaborative environment where engineering and analytics teams work closely together. With a mature analytics function and ambitious data initiatives, this is an opportunity to make a meaningful impact while working on high-value projects.

The Role

As an Analytics Engineer, you will be responsible for designing and maintaining analytical data models that support reporting, decision-making, and advanced analytics across the organisation.

Key responsibilities include:

• Building and maintaining robust data models and ELT/ETL pipelines using dbt and SQL
• Collaborating closely with Data Engineering teams to ensure data is structured and prepared for analytical use
• Supporting analysts through Looker and LookML development
• Delivering data solutions aligned to business projects and strategic initiatives
• Improving automation and processes related to analytics and AI-enabled tools
• Working with orchestration technologies and supporting wider analytics engineering initiatives
• Contributing to the scalability and reliability of the organisation’s analytics foundations

Your Skills & Experience

To be successful in this Analytics Engineer role, you should have:

• Strong commercial experience building and maintaining ELT/ETL pipelines
• Advanced SQL skills and confidence working with large-scale datasets
• Hands-on experience with dbt
• Strong experience with Looker and LookML
• Experience developing analytical data models for business and analytics users
• Ability to collaborate effectively with both technical and non-technical stakeholders

Experience with any of the following would be beneficial:

• Google Cloud Platform (GCP)
• Airflow, Cloud Composer, or similar orchestration tools
• Kafka
• Analytics-focused AI applications, conversational analytics, or chatbot context management
• Modern cloud-based data environments

What They Offer

• Salary of up to £80,000
• Performance-related bonus
• Comprehensive benefits package
• Hybrid working model with three days per week in the office
• Exposure to large-scale data and analytics projects
• Opportunities to work with modern data technologies and AI-enabled analytics solutions
• The chance to influence analytical best practices and contribute to the growth of a mature analytics function

How to Apply

If you’re an Analytics Engineer with strong SQL, dbt, Looker, and LookML expertise and are looking for an opportunity to work on impactful analytics engineering projects, please apply today.

To Apply for this Job Click Here

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Engineering Director

UK Remote

Up to £135,000 + 15% Bonus

This is an excellent opportunity to join a newly established Data Hub function and play a leading role in shaping the future of enterprise data and AI. You’ll combine strategic leadership with hands-on technical oversight, helping build a scalable data platform that will support business-wide decision making and innovation.

The Company

They are investing heavily in their data capabilities, bringing previously fragmented data environments together into a single, governed platform. With strong backing from senior leadership and a clear roadmap in place, the Data Hub is a key strategic initiative designed to enable analytics, operational efficiency, and future AI use cases.

The Role

You will lead the Data Hub engineering team, owning delivery, technical direction, and team development.

Responsibilities include:

• Leading and mentoring data engineering teams
• Driving delivery of a modern enterprise data platform
• Owning architecture and technical decision-making
• Consolidating legacy systems into a scalable, governed environment
• Partnering with business and product stakeholders
• Managing distributed engineering teams and delivery processes
• Establishing engineering best practices across Agile, DevOps, quality, and reliability
• Contributing to the wider data and AI strategy

Your Skills & Experience

• Strong people leadership within data or platform engineering
• Deep Snowflake and DBT expertise
• Experience delivering large-scale data platform programmes
• Strong SQL and Python skills
• Data architecture and governance experience
• Agile delivery leadership
• Excellent stakeholder management and communication skills
• Experience leading offshore or distributed teams
• Hands-on technical credibility

Desirable:

• Databricks
• AI/ML platforms and workflows
• Agent-based AI solutions
• Backend or full-stack engineering exposure

What They Offer

• Up to £135,000 base salary
• 15% annual bonus
• Fully remote working in the UK
• Opportunity to build a newly formed Data Hub function
• Significant influence over platform strategy and architecture
• Exposure to modern data and AI technologies
• Clear growth and leadership opportunities as the team expands

To Apply for this Job Click Here

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Chief Data Officer | London | £160,000-£180,000 + Benefits

We’re partnering with a high-growth, PE-backed financial services business to appoint a Chief Data Officer who can take its data function to the next level.

This is a genuine transformation role, with executive-level visibility and the opportunity to reshape the data organisation, modernise the data estate and make data a core driver of business growth.

The opportunity:

• Define and deliver the organisation-wide data strategy
• Transform the data operating model, team and capabilities
• Lead the development of a modern cloud data platform, lake and warehouse environment
• Build scalable, self-service data and analytics capabilities
• Strengthen data engineering, architecture, governance and analytics
• Partner with Product, Technology and the wider leadership team
• Drive the use of AI and automation to improve productivity and customer experience
• Use data to enhance onboarding, personalisation and customer journeys

We’re looking for:

• Senior data leadership experience at Director, VP or CDO level
• Proven experience transforming or scaling enterprise data functions
• Strong technical understanding across data engineering, architecture, cloud and analytics
• Experience building modern data platforms and self-service capabilities
• Strong executive stakeholder management and commercial judgement
• Azure / Microsoft data ecosystem experience is highly desirable
• Financial services, fintech or another regulated environment would be advantageous

Hybrid: London, 1 day per week in the office.

An opportunity to own the data agenda at executive level and build a modern, scalable function from the ground up.

Find out more and apply via the link below!

To Apply for this Job Click Here

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Data Scientist

£45,000 – £55,000

Merseyside (3 days a week in office)

This is an excellent opportunity to join a growing Data Science function at a business investing heavily in its data and AI capabilities. You’ll work on high-impact customer and commercial projects, helping to shape how machine learning is adopted across the organisation while gaining exposure to cutting-edge tools and a rapidly evolving data environment.

THE COMPANY

This organisation is investing heavily in its Data and AI capabilities, with a focus on building a scalable Data Science function that delivers real business impact. As Data Science becomes increasingly central to decision-making, you’ll have the opportunity to work on high-profile customer and commercial projects with strong backing from senior leadership. They foster a collaborative, pragmatic culture where Data Scientists are encouraged to move beyond experimentation and deliver solutions that create measurable value. The focus is on deploying models into production and embedding data-driven thinking across the business.

THE ROLE

As a Data Scientist, you will work closely with senior stakeholders, analysts, engineers, and fellow Data Scientists to deliver machine learning solutions across a range of customer and commercial use cases.

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

• Building and deploying predictive machine learning models
• Developing customer segmentation and customer lifetime value models
• Creating forecasting solutions to support business planning
• Delivering propensity and churn models to improve customer engagement
• Translating complex analytical findings into clear business recommendations
• Collaborating with engineering teams to support model deployment and operationalisation
• Supporting the development of a modern Data Science platform
• Working with cloud-based machine learning tools and technologies
• Engaging directly with stakeholders to understand challenges and define analytical solutions

SKILLS AND EXPERIENCE

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

• Strong commercial experience in Data Science and machine learning
• Advanced Python and SQL skills
• Experience using statistical modelling and predictive analytics techniques
• Knowledge of machine learning algorithms such as XGBoost and related ensemble methods
• Experience delivering projects across the full Data Science lifecycle, from problem definition through to deployment
• Ability to communicate technical concepts clearly to non-technical audiences
• Experience working with customer analytics, segmentation, churn, propensity modelling, forecasting, or related use cases
• Exposure to cloud environments such as Azure or GCP is beneficial
• Experience with Azure ML, Vertex AI, or similar machine learning platforms is advantageous

BENEFITS

The successful Data Scientist will receive the following benefits:

• Salary between £45,000 – £55,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Scientist

£45,000 – £55,000

Merseyside (3 days a week in office)

This is an excellent opportunity to join a growing Data Science function at a business investing heavily in its data and AI capabilities. You’ll work on high-impact customer and commercial projects, helping to shape how machine learning is adopted across the organisation while gaining exposure to cutting-edge tools and a rapidly evolving data environment.

THE COMPANY

This organisation is investing heavily in its Data and AI capabilities, with a focus on building a scalable Data Science function that delivers real business impact. As Data Science becomes increasingly central to decision-making, you’ll have the opportunity to work on high-profile customer and commercial projects with strong backing from senior leadership. They foster a collaborative, pragmatic culture where Data Scientists are encouraged to move beyond experimentation and deliver solutions that create measurable value. The focus is on deploying models into production and embedding data-driven thinking across the business.

THE ROLE

As a Data Scientist, you will work closely with senior stakeholders, analysts, engineers, and fellow Data Scientists to deliver machine learning solutions across a range of customer and commercial use cases.

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

• Building and deploying predictive machine learning models
• Developing customer segmentation and customer lifetime value models
• Creating forecasting solutions to support business planning
• Delivering propensity and churn models to improve customer engagement
• Translating complex analytical findings into clear business recommendations
• Collaborating with engineering teams to support model deployment and operationalisation
• Supporting the development of a modern Data Science platform
• Working with cloud-based machine learning tools and technologies
• Engaging directly with stakeholders to understand challenges and define analytical solutions

SKILLS AND EXPERIENCE

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

• Strong commercial experience in Data Science and machine learning
• Advanced Python and SQL skills
• Experience using statistical modelling and predictive analytics techniques
• Knowledge of machine learning algorithms such as XGBoost and related ensemble methods
• Experience delivering projects across the full Data Science lifecycle, from problem definition through to deployment
• Ability to communicate technical concepts clearly to non-technical audiences
• Experience working with customer analytics, segmentation, churn, propensity modelling, forecasting, or related use cases
• Exposure to cloud environments such as Azure or GCP is beneficial
• Experience with Azure ML, Vertex AI, or similar machine learning platforms is advantageous

BENEFITS

The successful Data Scientist will receive the following benefits:

• Salary between £45,000 – £55,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here