DATA & AI STAFFING AGENCY
MASSACHUSETTS

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Graduate Insights Analyst

Manchester or hybrid working, £28,000 to £30,000

Hybrid – Manchester (2-3 days in the office per week)

This is an excellent opportunity for someone at the start of their analytics career to develop strong technical and commercial skills in a supportive, data-driven environment. You will gain hands-on experience working with modern data platforms, building robust analytics solutions, and translating data into insights that influence real business decisions.

The Company

They are a large, well-established organisation with a strong focus on using data and analytics to drive smarter decision-making. With a collaborative culture and a clear investment in technology, they provide an environment where early-career analysts can learn from experienced professionals while building a solid foundation in modern analytics. Flexible working is embedded into how they operate, supporting balance and long-term development.

The Role

You will join a growing insights and analytics team, contributing to the development of high-quality data products and reporting. Your work will directly support stakeholders across the business.

Key responsibilities include:

• Supporting the design and build of scalable data pipelines and data models using Python in a cloud-based environment
• Creating clear and impactful data visualisations using tools such as Power BI
• Writing clean, efficient code and following best practice around version control and technical standards
• Assisting with the delivery of reports and insights within agreed timelines
• Working with stakeholders to understand requirements, supported by senior team members
• Developing your understanding of business metrics and how data supports operational and strategic decisions
• Keeping up to date with new analytics and cloud technologies to continuously build your skill set.

Your Skills and Experience

• Practical experience using Python or another analytical programming language such as R or SQL
• An analytical mindset with the ability to interpret data and communicate insights clearly
• Exposure to data visualisation tools, ideally Power BI
• Strong organisational skills with the ability to manage multiple tasks and deadlines
• Confidence presenting findings to a range of audiences
• An interest in how businesses operate and how data can be used to drive improvement

What They Offer

• Salary £30,000 depending on experience
• Performance-related bonus
• Generous pension contributions
• Private medical cover and life assurance
• 25 days annual leave plus bank holidays, with the option to buy or sell additional days
• Wellbeing support and employee benefits
• Clear opportunities for learning, progression, and long-term career development in analytics

How to Apply

If you are looking to start your career as a Graduate Insights Analyst and want to build strong technical and commercial foundations, apply now to find out more.

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Lead Customer Insights Analyst

£70,000 – £90,000 + bonus

Hybrid – Manchester (2 days per week)

This is a senior leadership role for someone who wants to shape how customer insight is embedded across an organisation. You will sit at the centre of strategy, analytics and transformation, building the frameworks, data foundations and ways of working that enable high impact, decision ready insight at scale.

The Company

They are a large, complex organisation with a strong focus on customer experience and data driven decision making. Customer insight sits at the heart of their transformation agenda, supporting senior leaders to act with confidence. The environment is collaborative, fast moving and focused on long term value creation through analytics and AI.

The Role

• Lead the strategic enablement of a central insights capability, focusing on scalable, self service analytics
• Design and maintain a holistic 360 degree customer view across internal and external data sources
• Build and embed frameworks, standards and reusable assets for analytics and insight generation
• Drive the development of data infrastructure, governance and quality to support trusted insight
• Champion innovation in advanced analytics, machine learning and AI, evaluating and adopting new approaches
• Translate complex analysis into clear, actionable recommendations for senior stakeholders
• Coach and mentor analytics professionals, raising analytical maturity across the organisation
• Lead and contribute to enterprise wide initiatives that link insight to measurable business outcomes

Your Skills and Experience

• Strong commercial experience in customer insight, analytics strategy and transformation
• Deep capability in data architecture, integration and connectivity across multiple data sources
• Advanced knowledge of machine learning, predictive modelling and modern analytics frameworks
• Proven ability to design integrated customer data assets that support decision making
• Excellent stakeholder management skills, with confidence influencing senior leaders
• Ability to synthesise complex data signals into clear, impactful insight
• Experience working in highly regulated or complex environments is beneficial

What They Offer

• Competitive salary and performance related bonus
• Opportunity to shape an enterprise level customer insight strategy
• Clear scope for career progression within a growing analytics leadership function
• Supportive culture with a strong focus on learning, innovation and impact

How to Apply

If you are looking to lead customer insight strategy and drive meaningful transformation through data, apply now.

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Senior Data Engineer

£80,000 – £100,000

Remote (UK-Based)

An opportunity for a highly technical Senior Data Engineer looking to join a fast-growing online gambling and sports betting platform that focuses on its first-in-class mobile app.

THE COMPANY

This future-ready online gambling and sports betting platform offers customers the best mobile app experience in the industry.

THE ROLE

As a Senior Data Engineer, you will sit within a high calibre data engineering team, owning and evolving core ETL pipelines that underpin the entire data platform. The focus is on building reliable, well-modelled data assets that can scale with the business.

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

• ETL pipelines for data ingestion and data modelling
• Using AWS to store and process data, with Snowflake as the data warehouse
• Use of Python and SQL
• Data orchestration and use of Terraform

SKILLS AND EXPERIENCE

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

• Strong Python and SQL skills
• AWS or GCP (NOT Azure)
• Orchestration, ideally with Airflow or Dagsta but open to others
• Data warehousing – Snowflake, Redshift, BigQuery (NOT Databricks)
• Terraform

BENEFITS

The successful Senior Data Engineer will receive the following benefits:

• Salary between £80,000 – £100,000 – depending on experience

HOW TO APPLY

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

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DATA ENGINEER

Up to £70,000 + BENEFITS
UK (Remote‑first)

This is a great opportunity to join a high‑growth education technology business where you can take ownership of building and scaling a modern data platform that underpins decision‑making across the entire organisation.

THE COMPANY:

The business is scaling rapidly and investing heavily in data to create a single, trusted view of performance across marketing, product and operations.

THE ROLE:

You will take ownership of a modern data platform. Key responsibilities include:

• Owning and developing the end‑to‑end data platform
• Building and maintaining robust data ingestion pipelines into BigQuery
• Designing and maintaining analytics‑ready dbt models
• Partnering closely with the BI Analyst to support company‑wide reporting and self‑serve analytics

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Google BigQuery/GCP (3+ years’ hands‑on experience)
• Data ingestion tools such as Fivetran
• dbt Cloud and analytics‑ready data modelling

THE BENEFITS:

You will receive a salary of up to £70,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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SENIOR ANALYTICS ENGINEER

£70,000-£75,000 + BENEFITS

PIMARILY REMOTE

An opportunity to join a popular telecoms company expanding into new markets!

THE COMPANY:

Over the past few years, this telecoms company has expanded. With a rich data set, they have lots of data to work with and are keen to bring in a Senior Analytics Engineer to help with data modelling and transformation.

THE ROLE:

A remote working Senior Analytics Engineer will need to:

• Design and build data models
• Support implementation and maintenance of ELT pipelines
• Ingest data into Snowflake
• Transform data using DBT
• Empower teams to make data driven teams

YOUR SKILLS AND EXPERIENCE:

A successful Senior Analytics Engineer will have the following skills and experience:

• Ability and experience interacting with key stakeholder
• Data modelling techniques – e.g. DataVault, Kimball etc.
• Strong experience in SQL/Python
• Data Cloud Tech experience – e.g. Snowflake/BigQuery/Databricks
• Data transformation experience using DBT

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £75,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

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INFRASTRUCTURE ENGINEER
MANCHESTER – 5 DAYS ON SITE
£45,000 – £50,000

THE COMPANY
This is an opportunity to join a growing UK organisation that are bringing more of their networking capabilities in house. You’ll be joining a collaborative infrastructure team responsible for a multi-site enterprise environment spanning on-prem infrastructure and cloud platforms. The business is continuing to modernise its technology estate and is looking for engineers who are genuinely passionate about infrastructure and technology.

THE ROLE

This role goes beyond day-to-day support. The team is looking for someone who has experience building and implementing infrastructure within enterprise data centre environments, particularly around storage and core infrastructure platforms.

You’ll work across Windows Server, Azure cloud infrastructure, VMware virtualisation and enterprise storage environments, supporting system reliability while contributing to infrastructure improvements, capacity planning and disaster recovery initiatives.

RESPONSIBILITIES

* Support and maintain enterprise infrastructure across on-prem, data centre and cloud environments
* Manage Windows Server environments and Active Directory
* Support Azure cloud infrastructure and VMware virtualisation platforms
* Build, implement and maintain enterprise storage and infrastructure within data centre environments
* Maintain system availability, performance and reliability across multiple locations
* Proactively patch and update infrastructure components to ensure security and stability
* Respond to incidents, problems and service requests through the ticketing system
* Support disaster recovery, capacity planning and business continuity planning
* Maintain clear technical documentation across infrastructure environments
* Participate in a scheduled support rota and occasional travel between sites where required

SKILLS & EXPERIENCE

* 5+ years’ experience in a hands-on infrastructure or systems engineering role
* Strong experience managing Windows Server and Active Directory environments
* Experience working within enterprise-scale infrastructure and data centre environments
* Experience supporting Azure cloud platforms and VMware virtualisation
* Experience building or implementing infrastructure and storage within data centres (not just support)
* Strong troubleshooting and problem-solving skills
* Ability to communicate technical concepts to non-technical stakeholders

ADDITIONAL REQUIREMENTS

* Must hold a full UK driving licence
* Must be eligible to obtain SC clearance
* Demonstrated interest in technology outside of work – the team values engineers who actively self-learn, experiment or build personal projects in IT

DESIRABLE EXPERIENCE

* Certifications such as Azure Administrator, VCP, MCSA or similar
* SAN and enterprise storage management
* Windows clustering
* Load balancer administration
* SQL or clustered database environments
* Knowledge of infrastructure and application security

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INFRASTRUCTURE NETWORK ENGINEER
MANCHESTER – 5 DAYS ON SITE
£50,000 – £55,000

THE COMPANY

This is an opportunity to join a growing technology organisation that are investing in their internal networking capabilities. You’ll be joining a collaborative infrastructure team responsible for a multi-site enterprise environment spanning on-prem infrastructure and cloud platforms. The business is continuing to modernise its technology estate and is looking for engineers who are genuinely passionate about infrastructure and technology.

THE ROLE

You will work across Cisco and HP network technologies, supporting routing, switching, firewalls and network access control across office and data centre environments. The role requires strong troubleshooting ability and experience operating within enterprise-scale networks.

RESPONSIBILITIES

* Support and maintain enterprise network infrastructure across multi-site environments
* Configure and manage Cisco networking technologies including Catalyst and Nexus switching
* Manage and support Cisco ASA firewalls (essential) and Cisco Firepower environments
* Troubleshoot network incidents and resolve connectivity or performance issues
* Support routing, switching and load balancing technologies
* Implement and manage Network Access Control across multiple sites
* Support network infrastructure within data centre environments
* Ensure network hardware and software systems are patched and maintained
* Work within the ticketing system to manage incidents, service requests and changes
* Produce and maintain technical documentation across network environments
* Ensure network uptime, performance and service levels are maintained
* Work within established change management processes
* Participate in a rotational out-of-hours support schedule and occasional travel between sites where required

SKILLS & EXPERIENCE

* Minimum CCNA certification with 5+ years’ experience working with Cisco technologies
* Strong experience with Cisco ASA firewall configuration and management (essential)
* Experience with Cisco Catalyst and Nexus switching
* Strong understanding of routing, switching and enterprise network troubleshooting
* Experience working within enterprise-scale and multi-site network environments
* Experience supporting infrastructure within data centres
* Experience working within a structured change management framework
* Strong analytical and troubleshooting skills
* Ability to communicate technical concepts clearly to non-technical stakeholders

ADDITIONAL REQUIREMENTS

* Must hold a full UK driving licence
* Must be eligible to obtain SC clearance
* Demonstrated passion for technology – the team values engineers who actively self-learn, build labs, or explore new technologies outside of work

DESIRABLE EXPERIENCE

* Cisco Certified Network Professional (CCNP)
* Cisco Certified Specialist – Network Security Firepower
* Experience with HP Aruba switching
* Network design or implementation experience
* Experience with IDS/IPS rule creation and deployment
* Load balancer administration
* Network automation experience
* Knowledge of infrastructure and network security best practices

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This is an excellent opportunity to start your analytics career within a large, well‑established financial services organisation that has invested heavily in its data and analytics capability. Data sits at the heart of decision‑making, and the business has a strong track record of developing analysts from graduate level through to senior roles.

The team sits within a newly formed Retail Pricing & Analytics function, which is growing and evolving. Once fully staffed, the wider analytics group will be around 20 people, offering strong peer support, mentoring, and long‑term progression.

Manchester – Hybrid (2 days in office, moving to 3 by end of year)
Salary: £30,000

Where you’ll sit

• Part of a Retail Pricing & Analytics function
• Embedded in one of four core Retail teams:
  • Risk & regulatory reporting
  • Service / operations & complaints
  • Claims data & insight
  • Performance / trading analytics
• Working closely with senior analysts, managers, and an advanced analytics function (data science-led)
• A team with a strong graduate culture – many current senior analysts and managers started as graduates here

The role

The Graduate Insight Analyst acts as a bridge between the Data function and the wider business.

Most of your work will be outside of Power BI. The focus is on understanding business questions, breaking them down logically, preparing and structuring data, and writing code to reach a solution. Power BI is then used to tell the story rather than do all the heavy lifting.

What you’ll be doing

• Working with business stakeholders to understand reporting and insight needs
• Breaking down ambiguous or complex problems into clear, logical steps
• Manipulating and preparing data using Python (Databricks environment)
• Working within existing DevOps code repositories
• Contributing to a trusted “gold layer” of standardised data
• Producing insight that feeds into Power BI dashboards
• Partnering closely with senior analysts and managers for learning and development

What they’re looking for

Core requirements (critical)

• Strong logical reasoning and problem‑solving skills
• Degree in a numerical or analytical subject, such as:
  • Maths
  • Physics
  • Engineering
  • Economics
  • Similar disciplines
• Some exposure to coding or statistics:
  • Python preferred
  • R or MATLAB acceptable from degree work
• Ability to explain how you would approach a problem, not just write code
• Comfortable working with data, uncertainty, and ambiguity

Logical thinking is prioritised over advanced coding – coding can be taught, logic is harder to train.

Nice to have

• Internships, placements, or relevant work experience
• Experience working with multiple datasets
• Examples of academic or commercial problem‑solving

What success looks like

In the first few months, you’ll be able to:

• Take simple business requests and understand the data behind them
• Begin building coding solutions with support from senior team members
• Use Power BI to communicate insight clearly
• Show steady improvement in:
  • logical thinking
  • coding confidence
  • business understanding

Training & development

• Structured training in Python and Power BI
• On‑the‑job domain learning
• Buddy system within the team
• Access to certifications and learning resources
• Demonstrated, realistic progression paths

Location & culture

• Manchester‑based role
• Hybrid working:
  • Currently 2 days per week in office
  • Moving to 3 days by end of year
  • No fixed days – flexible
• Young, social office with many graduates and junior analysts
• Many choose to come into the office more than required
• Occasional fully‑expensed travel to a second UK office (roughly quarterly, usually social)

Why apply

• Strong, recognisable financial services organisation
• Genuine graduate development culture
• Managers who progressed internally
• Analytics role focused on thinking and problem‑solving, not just dashboards
• Collaborative, supportive team environment
• Clear long‑term career opportunities

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Senior Data Scientist

Manchester (2 days on site)

A high‑growth SaaS scale‑up is hiring a Senior Data Scientist to build their first production AI capabilities. You will work end to end across ideation, prototyping, and deployment, shaping how customers detect fraud, block invalid traffic, and optimise real‑time behavioural analytics.

The Company

They are a rapidly scaling SaaS business specialising in privacy‑compliant, cookieless analytics.

They process billions of data rows weekly to prevent wasteful and fraudulent traffic.

Their platform uniquely combines real‑time behaviour modelling, fraud detection, and optimisation.

The Role

* Deliver full lifecycle AI and ML projects from prototype to production.

* Build applied AI workflows including LLMs, NLP, and RAG‑based solutions.

* Work with large and messy tabular datasets to create high‑impact models.

* Develop classification and optimisation approaches to enhance customer outcomes.

* Partner with Product and Engineering to integrate models into the platform.

* Lead the transition toward a more AI‑driven product ecosystem.

Your Skills and Experience

* Strong commercial experience deploying AI and ML systems into production.

* Hands‑on experience with LLMs, NLP, or retrieval‑augmented workflows.

* Confident working with large‑scale tabular datasets and complex data environments.

* Cloud experience, ideally AWS, plus familiarity with MLOps practices.

* Background in product‑focused environments or consultancy.

* Ability to evidence measurable business impact from previous technical projects.

What They Offer

* Hybrid working with two office days weekly.

* High levels of ownership across AI strategy and delivery.

* Opportunity to build the company’s first production AI systems.

* Collaborative culture within a scaling SaaS environment.

* Clear progression as the AI function grows.

How to Apply

To register your interest, please apply with your CV.

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Data Engineer

up to £90,000 + Benefits
Manchester (Hybrid)
This is a great opportunity to join a high‑growth adtech scale‑up where you can take ownership of large‑scale data infrastructure that directly powers machine learning, product intelligence, and customer ROI.

THE COMPANY

This is a UK‑based adtech SaaS platform that using machine learning and real‑time behavioural analytics to help brands optimise performance.

THE ROLE

Key responsibilities include:

• Designing, building, and maintaining batch and streaming data ingestion pipelines for high‑volume event data
• Improving and optimising the AWS Redshift data warehouse, including modelling, performance, and cost efficiency
• Refactoring poorly structured data into clean, well‑governed, ML‑friendly datasets
• Building pipelines to support ML workflows, feature stores, A/B testing, and experimentation
• Ingesting and integrating new and under‑utilised data sources
• Working on greenfield projects while scaling existing data infrastructure to billions of data points

YOUR SKILLS AND EXPERIENCE

You will bring strong capability in:

• Python and SQL
• AWS data infrastructure (S3, Redshift, Glue, Athena, Kinesis, Lambda)
• End‑to‑end ownership, from proof‑of‑concept through to production

THE BENEFITS

You will receive a salary of up to £90,000 depending on experience, along with a comprehensive benefits.

HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

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Senior Data Scientist – 2 days a month in London

A great opportunity to join a team building advanced conversational AI and NLP products for financial services. This role is ideal if you enjoy modern LLMs, problem solving, and bringing machine learning models into production.

The Company
They are a growing data and AI organisation developing conversational tools, data assistants, and NLP solutions for analytics and trading teams. Their work spans LLM fine tuning, automation, and website chatbots, supported by strong engineering and DevOps functions. They operate an AWS environment and encourage collaboration across teams.

The Role

• Build and fine tune LLMs and NLP models for analytics and conversational products.
• Apply mathematical and quantitative thinking to financial use cases.
• Develop ML pipelines, model evaluation processes, and production ready code.
• Work with engineers to deploy models in AWS.
• Support and guide mid level Data Scientists.

Your Skills and Experience

• Strong commercial experience in Python, machine learning, and NLP.
• Hands on work with LLMs, fine tuning, and modern ML tooling.
• Ability to understand quantitative concepts for trading and financial analytics.
• Experience working in cloud based engineering environments, ideally AWS.
• Comfortable collaborating with cross functional teams.

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