Data jobs in Manchester

What you would do

• Building and maintaining data pipelines and infrastructure for data collection, management, transformation, and access.
• Working with stakeholders to understand business requirements and implementing SQL-first transformation workflows.
• Designing efficient data marts tailored to specific business units, functions, or departments.
• Ensuring the integrity, reliability, and usability of data for stakeholders.
• Designing and maintaining data models for end users.

Skills

What you would do

• Own the technical direction, quality and delivery performance of Security Monitoring & Detection Engineering.
• Lead architecture, engineering and development of the SIEM solution (Microsoft Sentinel).
• Define and govern onboarding of security telemetry across on-premises, Azure, AWS and third-party services.
• Own the detection engineering lifecycle including requirements, design, testing, deployment, tuning and retirement.
• Develop analytics rules, hunting queries, workbooks and automated investigation and response workflows.
• Drive threat-informed defence using Cyber Threat Intelligence and Cyber Threat Exposure Management.

Skills

What you would do

• Define and execute the enterprise Java full stack technology strategy aligned with business transformation goals.
• Champion AI-driven development practices including AI-assisted coding, automated testing, remediation, and code quality.
• Drive modernization initiatives such as cloud migration, microservices, event-driven architectures, and API-led platforms.
• Establish best practices for secure, scalable, and resilient application design.
• Oversee end-to-end delivery of complex platforms across backend (Java) and frontend technologies.
• Ensure high-quality engineering outcomes using CI/CD, automation, and DevSecOps practices.

Skills

What you would do

• Deliver training on BI tools and products to help colleagues build confidence in using data.
• Engage with colleagues at all seniority levels through show and tells, super-user groups and champion communities.
• Plan and create clear, accessible communications promoting the value of data products.
• Analyse user statistics to understand tool uptake and inform future planning.
• Work with the Data Culture Manager to plan and deliver change projects across the team.
• Collaborate with the Microsoft Power Platform team to automate processes.

Skills

What you would do

• Design and implement comprehensive media plans aligned with business and marketing goals.
• Conduct audience research to understand demographics, behaviours and media consumption patterns.
• Deliver high-quality planning responses and PCAs.
• Identify the most effective mix of media channels (digital, social, print, radio, outdoor) to maximise reach and impact.
• Coordinate and manage campaign workflows and timelines.
• Collaborate with creative, media specialists and external agency teams.

Skills

What you would do

• Own the growth of Instagram and LinkedIn channels, with accountability for reach, follower growth and audience quality.
• Build and manage a forward-looking content calendar.
• Create and coordinate high-quality content across Instagram and LinkedIn, including trainer-led and educational content.
• Capture content in gyms, including reels, stories and trainer filming sessions.
• Develop recurring content formats.
• Own daily community management and engage with audiences.

Skills

What you would do

• Lead complex and higher-risk transaction monitoring investigations using internal and external data sources to assess customer activity and identify financial crime risks.
• Act as a subject matter expert in the design, implementation, testing, calibration and optimisation of transaction monitoring controls, scenarios, rules and thresholds.
• Identify emerging typologies, control gaps and false positives to improve control effectiveness and operational efficiency.
• Analyse management information, trends and performance metrics to inform enhancements to the transaction monitoring framework.
• Support quality assurance activities, control testing, audits, regulatory reviews, risk assessments and model validation exercises.
• Partner with Compliance, Risk, Operations, Technology, Data Analytics and third-party providers to strengthen transaction monitoring capabilities.

Skills

What you would do

• Design, develop, and implement data-driven solutions and predictive models tailored to client challenges.
• Consult and guide clients by defining AI use cases, validating ideas through proof of concepts, and deploying scalable production-ready systems.
• Build and maintain end-to-end AI systems with a focus on scalability, observability, and continuous optimization using MLOps principles.
• Develop multi-agent and AI workflows orchestrating data, tools, and context into production-grade solutions.
• Architect robust and modular backend services applying SOLID principles.
• Design, document, and develop RESTful or GraphQL APIs serving as interfaces between AI workflows and applications.

Skills

What you would do

• Design, curate and deliver learning solutions across digital, virtual, face-to-face and blended formats.
• Create learning pathways, resources and development journeys supporting career growth and business priorities.
• Adapt global learning content for local relevance.
• Facilitate learning interventions and development programmes.
• Support and coordinate rollout of regional and global L&D programmes.
• Act as regional subject matter lead for compliance and mandatory learning deployment.

Skills

What you would do

• Extract and analyse data from data lakes and relevant sources to provide actionable insights for business decisions.
• Develop, maintain, and automate BI and MI reports using SQL, Python, and Power BI.
• Build partnerships with stakeholders from Product, Commercial, Technology, Customer Services, and Operations to understand requirements and support data needs.
• Lead or contribute to the development and tracking of KPIs and data insights across the company.
• Apply data science techniques such as statistical modeling, segmentation analysis, time series analysis, and predictive techniques to analyse customer behaviour.
• Leverage AI and machine learning platforms as a power user to enhance analytical capabilities.

Skills

What you would do

• Set the direction of Data Science at Autotrader and join a cross-functional squad to prioritise, resource and shape projects.
• Identify opportunities for Data Science and make compelling cases to senior stakeholders.
• Orchestrate projects, supporting Data Analysts and Scientists and collaborating with software engineers on solutions.
• Develop ML-centric data products and solutions using ML frameworks and workflows.
• Lead projects with ambiguous requirements and complex constraints, bridging dependencies across organisational boundaries.
• Establish analytical standards and tools, and elevate the technical capability of the discipline.

Skills

What you would do

• Build, integrate, and deploy GenAI, multi-AI-agent, and data science solutions with product squads.
• Design and develop GenAI, AI Agent, and MLOps platforms and applications.
• Build standards and recommendations for the AI engineering tech stack and data science models.
• Evaluate and onboard emerging technology vendors and tools.
• Communicate advanced ML concepts to business stakeholders.
• Develop and deploy ML and GenAI solutions for enterprise goals.

Skills

What you would do

• Define and own data engineering architecture patterns (migration frameworks, streaming architectures, data integrity standards, Lakehouse design) across client engagements.
• Act as senior technical authority, making architecture decisions and resolving design disputes.
• Review and sign off technical designs from Lead and Senior engineers.
• Drive adoption of new tooling, patterns, and cloud services.
• Lead technical design and execution of large-scale data migrations from on-premises or legacy cloud to modern cloud platforms.
• Architect real-time and near-real-time data pipelines with demanding latency and correctness requirements.

Skills

What you would do

• Lead biddable planning and implementation across client accounts, liaising with client planning and investment teams.
• Manage and develop a team of biddable specialists, including workload management, training needs, and coaching junior members.
• Develop and implement an innovative biddable proposition and roadmap across clients.
• Produce biddable strategies and supporting rationale documents in Havas' Mx planning system.
• Recommend data and tech partners and suppliers, working with investment teams to prioritise preferred partners.
• Drive investment planning at platform and audience level, leveraging partnerships with technology vendors and publishers.

Skills

What you would do

• Support the end-to-end delivery of SEO strategies for multiple brands.
• Conduct keyword research, content gap analysis, and SERP analysis to identify new growth opportunities.
• Perform technical SEO audits to identify and fix issues related to site architecture, crawlability, and indexation.
• Collaborate with content teams to ensure on-page content is optimised for both users and search engines.
• Analyse and report on organic performance using Google Search Console, GA4, and industry-standard search analytics platforms.
• Work closely with the Paid Media team to share search query insights, coordinate keyword targeting, and develop a unified search strategy.

Skills

What you would do

• Design, develop, and maintain scalable, secure, and reliable software applications and services.
• Own technical design and implementation of complex software systems from conception through production.
• Drive architectural decisions balancing scalability, maintainability, performance, and reliability.
• Write, review, and improve production code and validate AI-generated code.
• Build production-grade AI agents and agentic workflows using AWS Bedrock, Anthropic/Claude, LangGraph, or CrewAI.
• Design and maintain evaluation frameworks for AI systems including regression testing, evaluation datasets, LLM-as-judge methodologies, and human-in-the-loop review.

Skills

What you would do

• Coordinate aftermarket quotations and produce accurate, timely, value-priced proposals.
• Review customer specifications and apply Flowserve technical and commercial requirements.
• Manage proposals throughout the bid cycle, including workload tracking, follow-up, and hit-rate improvement.
• Support tactical quotes, strategic offerings, and win-back opportunities.
• Partner with site hubs and product teams to improve quotation speed, delivery lead times, prioritization, and quality.
• Recommend effective customer solutions using knowledge of pump applications, parts, programs, and processes.

Skills

What you would do

• Develop advanced probabilistic models for real-time betting markets and in-play betting decisions.
• Design, develop, and maintain sophisticated mathematical models for accurate odds pricing across sports betting products.
• Analyse and interpret complex sports datasets using machine learning techniques.
• Oversee implementation of highly accurate, computationally efficient, and scalable models in large-scale production environments.
• Conduct and supervise rigorous statistical validation of models against historical and live data.
• Collaborate with trading teams to incorporate domain expertise into mathematical models.

Skills

What you would do

• Develop and implement overall marketing strategy across Asia territories to drive traffic, sales, and brand awareness.
• Align localised marketing strategies with global brand objectives, ensuring consistency in messaging and brand identity.
• Lead market research to identify trends, opportunities, and consumer insights.
• Oversee digital marketing activities including SEO, PPC, social media, email marketing, content marketing, and affiliate marketing.
• Drive performance marketing initiatives to optimise traffic acquisition, conversion rates, and ROI.
• Utilise data analytics to monitor and report on campaign effectiveness, making data-driven decisions.

Skills

What you would do

• Drive the technical execution of the AI R&D agenda across personalisation, recommendation, search and agents.
• Line-manage, grow, and unblock engineers in a team spanning R&D and delivery.
• Set production bar and standards for AI features from experimental work to hardened, observable systems.
• Lead from the front on hard technical problems and pressure test technical bets.
• Own path from validated prototype to live: real-time personalisation, recommendation, search and ranking against live traffic.
• Maintain high engineering bar on AWS and TypeScript including CI/CD, infrastructure as code, observability, testing, and LLMOps.

Skills