Job Title: Data Science Consultant – Logistics Location: London, England, UK Contract Type: 3 - 6 month contract About the Role We are seeking an experienced Data Science Consultant with a strong logistics and supply chain background to support Advanced Management Solutions (AMS) initiatives. This is a hands-on, client-facing role focused on identifying operational improvement opportunities and delivering data-driven solutions that create measurable business value. Key ResponsibilitiesEngage with logistics, operations, and management teams to understand business challenges and objectives.Analyse supply chain processes including transport, warehousing, inventory, fulfilment, and network operations.Translate business requirements into analytical use cases and project plans.Identify, quantify, and prioritise improvement opportunities based on business impact.Analyse and model data from sources such as WMS, TMS, ERP, telematics, and shipment data.Develop forecasting, optimisation, performance analytics, and machine learning solutions.Create dashboards, reports, and KPIs to measure performance and outcomes.Present insights and recommendations to technical and non-technical stakeholders.Support pilots, proof-of-concepts, implementation, and change adoption activities.Required Experience & SkillsProven experience in Data Science, Advanced Analytics, or a similar consulting-focused role.Strong logistics/supply chain experience (transport, warehousing, 3PL, retail logistics, fulfilment, or network optimisation).Demonstrated stakeholder management, requirements gathering, and workshop facilitation skills.Advanced Python and/or R skills.Strong SQL for data extraction and analysis.Experience with Power BI, Tableau, Qlik, or similar visualisation tools.Knowledge of statistical modelling, forecasting, optimisation, and machine learning techniques.Excellent communication skills with the ability to translate complex analysis into business-focused recommendations.Strong commercial awareness and ability to articulate business value.Nice to HaveExperience with optimisation tools such as OR-Tools, Gurobi, or CPLEX.Exposure to large-scale logistics datasets, telematics, IoT, or route optimisation.Experience with Azure, AWS, GCP, or modern cloud data platforms.Previous consulting experience within logistics, supply chain, or operations-focused environments.

SAP Business Analyst & Support Specialist – HIRING ASAP Start date: ASAPDuration: 6-12 months (with a view to extend) Location: Hybrid Working – Remote with travel to offices in Pfeaffikon and Biberist a few times per month Rate: 120k CHF per yearMust Have Skills: Technical SAP Expertise (FI/SD, MM, PP)Configuration: Basic customizing/configuration knowledge within core modules.Data & Logic: Clear understanding of master data, transactional data, and accounting posting logic.Integrations: Experience monitoring and troubleshooting interfaces, particularly EDI and ERP integrations, alongside external partners.Testing & Quality AssuranceHands-on experience with UAT, regression testing, and integration testing.Proven ability to create structured test cases, manage documentation, and track defects.Collaboration: Acting as the bridge between business users and technical developers during testing cycles.End-to-End Business Process Know-HowDeep understanding of cross-module dependencies across core workflows: Order-to-Cash (O2C), Purchase-to-Pay (P2P), Finance (FI) ProcessesOperations, Project Work & SupportDaily application support (error analysis and troubleshooting) using tools like Jira or ServiceNow.Supporting key users, conducting training sessions, and writing process descriptions.Project Delivery: Contributing to or leading smaller IT/process projects, capturing business requirements, and translating them into technical specifications.Soft Skills & CommunicationAnalytical, data-driven approach to complex troubleshooting.Strong mediation and expectation-management skills to coordinate between Business stakeholders, internal IT, and external agencies.High degree of independence and structured prioritization.German and English languages at business proficiency level are a mustResponsibilities: Daily Support & TroubleshootingFirst-Level SAP & EDI Support: Provide first-line troubleshooting for SAP R3 (SD, FI, MM, PP modules) and EDI interfaces across both the sales entity and the factory.On-Demand Problem Solving: Resolve daily issues, handle system errors, and execute required control remediations.Process Optimization & AutomationWorkflow Automation: Streamline and optimize end-to-end business processes, specifically focusing on integrations like Shopify, SAP mobile, and automated invoice approvals.Requirements Gathering: Translate complex business needs into clear technical specifications for system changes.Testing & DocumentationTest Coordination: Plan, execute, and coordinate SAP test cycles, including User Acceptance Testing (UAT), regression, and integration testing.Jira & Issue Tracking: Maintain structured test documentation, error analysis reports, and defect tracking lists directly within Jira.Training & EnablementUser Support: Train and guide key users and end-users to ensure smooth system adoption.Documentation Creation: Build and maintain up-to-date training materials and standard operating process (SOP) documentation.IT MediationAct as the primary liaison and coordinator between internal business departments, the external SAP agency, the external IT infrastructure provider, and other third-party partners.

Data Science Consultant - 3-6 month contractWe're seeking an experienced Data Science Consultant with a strong background in Logistics/Supply Chain and Generative AI to support high-impact client projects. This is a client-facing role where you'll work with business stakeholders and operations teams to identify, shape, and deliver data-driven and GenAI solutions that improve logistics performance. Key Responsibilities * Engage stakeholders to understand logistics processes, challenges, and opportunities. * Identify and develop data science and GenAI use cases focused on optimisation, forecasting, automation, and decision support. * Analyse operational datasets and build machine learning models. * Design and prototype GenAI solutions using LLMs, prompt engineering, and RAG techniques. * Lead workshops, presentations, PoCs, and pilot initiatives. * Translate complex analytics into actionable business recommendations. Required Experience * Proven experience in a client-facing Data Science or Analytics Consulting role. * Strong Python, SQL, and machine learning expertise. * Hands-on experience with GenAI/LLMs (OpenAI, Azure OpenAI, Anthropic, etc.). * Experience building LLM prototypes, prompt engineering, and RAG solutions. * Strong stakeholder engagement and communication skills. Logistics Experience (Essential) Candidates must have experience within logistics, supply chain, transportation, warehousing, fleet operations, parcel delivery, or similar environments, with knowledge of route planning, capacity utilisation, service levels, and operational KPIs. Nice to Have * Azure, AWS, or GCP experience. * Optimisation/routing tools and operations research exposure. * Power BI, Tableau, or Looker. * Large-scale logistics or e-commerce fulfilment experience. Profile * Based in or able to regularly work in Birmingham (preferred) or London. * Comfortable working autonomously in fast-paced environments. * Strong consulting mindset with the ability to influence stakeholders at all levels.

We're seeking an experienced Data Science Consultant with a strong background in Logistics/Supply Chain and Generative AI to support high-impact client projects. This is a client-facing role where you'll work with business stakeholders and operations teams to identify, shape, and deliver data-driven and GenAI solutions that improve logistics performance. Key Responsibilities * Engage stakeholders to understand logistics processes, challenges, and opportunities. * Identify and develop data science and GenAI use cases focused on optimisation, forecasting, automation, and decision support. * Analyse operational datasets and build machine learning models. * Design and prototype GenAI solutions using LLMs, prompt engineering, and RAG techniques. * Lead workshops, presentations, PoCs, and pilot initiatives. * Translate complex analytics into actionable business recommendations. Required Experience * Proven experience in a client-facing Data Science or Analytics Consulting role. * Strong Python, SQL, and machine learning expertise. * Hands-on experience with GenAI/LLMs (OpenAI, Azure OpenAI, Anthropic, etc.). * Experience building LLM prototypes, prompt engineering, and RAG solutions. * Strong stakeholder engagement and communication skills. Logistics Experience (Essential) Candidates must have experience within logistics, supply chain, transportation, warehousing, fleet operations, parcel delivery, or similar environments, with knowledge of route planning, capacity utilisation, service levels, and operational KPIs. Nice to Have * Azure, AWS, or GCP experience. * Optimisation/routing tools and operations research exposure. * Power BI, Tableau, or Looker. * Large-scale logistics or e-commerce fulfilment experience. Profile * Based in or able to regularly work in Birmingham (preferred) or London. * Comfortable working autonomously in fast-paced environments. * Strong consulting mindset with the ability to influence stakeholders at all levels.

If your last big programme was in financial services, this is your next one. A global technology services firm is looking for a Project Manager to lead delivery on a major compliance transformation engagement at a Tier-1 Frankfurt-based investment bank. You'll have genuine ownership over programme governance, stakeholder management, and cross-team delivery across a blended international project team. What you'll be leading:End-to-end programme management across financial crime and compliance workstreams (AFC, KYC, AML)Stakeholder management at senior and executive level — both client-side and internallyGovernance, risk tracking, and delivery assurance across a structured regulatory programmeCoordination of onshore Frankfurt team and offshore delivery resourcesWhat you'll bring:Substantial PM experience on financial services transformation programmesAFC, KYC, AML, or financial crime compliance delivery experience — strongly preferredExposure to Tier-1 banks or comparable large-scale FSI environmentsFrankfurt-based or realistic about relocation/commuteAvailable to start August 2025Package: €90,000–€110,000 | Hybrid | Frankfurt Process: Two-stage interview, profiles being actively reviewed.  Please don't hesitate to reach out or apply now for this opportunity!

GenAI Lead Engineer (Contract)Location: London, UK (Hybrid)Duration: 3-6 MonthsWe are looking for an experienced GenAI Lead Engineer to lead the design, prototyping, and implementation of Generative AI solutions for a fast-paced consulting engagement. You'll work closely with business and technical stakeholders to identify opportunities, build PoCs/MVPs, and define a roadmap for future AI adoption.Key ResponsibilitiesIdentify and prioritise high-impact GenAI use cases.Design end-to-end AI solution architectures.Build and deploy PoCs and MVPs, including copilots, chatbots, and AI-powered automation solutions.Develop RAG pipelines, integrate AI services with enterprise systems, and establish evaluation frameworks.Define governance, security, privacy, and compliance best practices.Mentor internal teams and provide documentation, knowledge transfer, and strategic recommendations.Requirements7 years' experience in Software Engineering, Data Engineering, or ML Engineering.2 years' hands-on experience delivering LLM/Generative AI solutions.Strong Python and/or TypeScript/JavaScript skills.Experience with:LLM frameworks and APIsRAG architectures and vector databasesAWS, Azure, or GCPDocker (Kubernetes advantageous)Strong understanding of prompt engineering, model evaluation, security, and AI governance.Proven ability to lead technical initiatives and engage with senior stakeholders.DesirableConsulting or advisory experience.Experience with fine-tuning, LLMOps/MLOps tools, and enterprise integrations.Background in regulated industries such as financial services, healthcare, or telecoms.

Hiring! Databricks Consultant Role Title: Databricks ConsultantLocation: London, HybridDuration: Initial 3 monthsRate: Market RelatedEngagement: Outside IR35  We are seeking a seasoned Databricks Consultant with deep expertise in Energy & Commodities Trading to design, accelerate, and optimize our trading data platform. Acting as the bridge between trading desks, quants, and engineering teams, you will leverage the Databricks Lakehouse to deliver scalable, real-time pipelines powering trading decisions, risk management, and market analytics. Key Responsibilities  Data Architecture: Build and optimize ETL/ELT pipelines using Databricks, Spark (PySpark/Scala), and Delta Lake for structured/unstructured energy market data. Trading Analytics: Partner with Quants, Risk Managers, and Traders to implement models, curve generation, position tracking, and risk metrics (e.g., VaR). Performance Optimization: Tune clusters and SQL warehouses for low-latency, time-sensitive trading environments. Data Governance: Enforce governance, access controls, and compliance with UK/EU financial and energy regulations via Unity Catalog. Consultative Leadership: Provide architectural best practices, mentor engineers, and advise stakeholders on maximizing Databricks ROI.  Required Skills & Experience Energy Trading Expertise: Proven background in energy trading firms, banks, utilities, or oil/gas majors. Strong knowledge of physical/financial markets (Power, Gas, LNG, Crude, Carbon/Renewables) and trading data types (Reuters, Bloomberg, Trayport, weather, ETRM).Databricks Mastery: Hands-on experience with production workloads on Databricks (Azure/AWS), PySpark, Spark SQL, Delta Lake, Unity Catalog, Python, SQL, orchestration tools (Airflow, Workflows, ADF), and streaming (Kafka/Event Hubs).Professional Skills: Strong consultative mindset, excellent communication, and ability to interface with traders and senior stakeholders.

Senior Data Platform Engineer Location: Galway office for 1 week per month  Start Date: ASAP Daily Rate: €450 - €520  Duration: 11 months We have an outstanding opportunity for a Senior Data Platform Engineer to work in a delivery team within an Asset Management Technology group. The successful candidate will be responsible for designing, developing & implementing data analysis and visualization solutions which are critical for the senior financial analysts, portfolio managers and senior executives who reside at the investment research value proposition. Responsibilities:  • Take end to end ownership of critical data visualization and reporting capabilities, working independently while ensuring reliability, continuity, and accuracy for senior financial analysts, portfolio managers, and executives. • Provide technical and design leadership for the evolution of the reporting platform, driving enhancements based on the needs of non technical financial users and translating complex requirements into clear, high value visual outputs. • Partner closely with existing business and technology owners of legacy reporting systems, shadowing and learning established solutions before assuming ownership and modernizing them without disrupting trusted outputs. • Act as a bridge between business and technology, building strong relationships with research analysts and leadership to understand workflows, decision making needs, and data interpretation challenges. • Champion continuous improvement, incrementally modernizing legacy scripting and data workflows while maintaining confide Required Skills & Experience • 7 years in software development or data engineering. • Strong Linux proficiency (networking, processes, filesystem, cron, systemctl). • Strong experience in shell scripting (bash, ksh, zsh). • Professional experience with Perl/python or similar scripting language in production systems. • Solid understanding of data science concepts, statistical methods, and data analysis tooling. • Proficiency with SQL, relational schema design, and optimization. • Experience with visualization and chart generation tools. • Familiarity with CI/CD pipelines, Git, and automated deployment workflows. • Excellent analytical, communication, and organizational skills • Ability to take ownership of a complex script-based code base • Work closely with business stakeholders to understand and deliver on their unique visualization objectives • You are able to act independently under general direction. Preferred / Nice to Have Skills • Experience modernizing legacy scripting ecosystems. • Knowledge of pipelines involving message queues, APIs, ETL schedulers, or workflow managers. • Exposure to cloud environments (AWS, GCP, Azure). • Python for data automation, ML, or web APIs. • Experience building internal libraries or reusable tooling for engineering teams.