QC Officer

Data & ML Architect

Stock Keeper + In-Store Visual Merchandiser

Territory Sales Executive

AVP, Digital Analytics

HR Systems and Workforce Analyst

Business Intelligence Analyst

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Role Description: <ul><li>Quality Control (QC) Officer with hands-on experience in analytical testing and laboratory operations within API, pharmaceutical, or chemical manufacturing industries.</li><li>The candidate should have strong exposure to HPLC and other analytical instruments along with knowledge of GMP/GLP documentation and quality systems.</li></ul> Responsibilities: <ul><li>Perform analysis of raw materials, in-process samples, and finished products as per specifications and SOPs.</li><li>Handle and operate analytical instruments such as: o	High-Performance Liquid Chromatography (HPLC) o	GC o	UV Spectrophotometer o	FTIR o	Karl Fischer</li><li>Conduct wet chemical analysis, titration, LOD, moisture analysis, and related QC activities.</li><li>Prepare mobile phase, standard solutions, reagents, and test samples for analysis.</li><li>Perform calibration and routine maintenance of laboratory instruments.</li><li>Maintain laboratory records, logbooks, COA documentation, and reports as per GMP/GLP guidelines.</li><li>Follow SOPs, safety standards, and quality compliance procedures.</li><li>Support audit activities and maintain data integrity.</li><li>Coordinate with QA and Production teams for quality-related activities.</li></ul> Requirements: <ul><li>Strong hands-on experience in HPLC analysis (Mandatory)</li><li>Knowledge of GC, UV, FTIR, and wet chemistry.</li><li>Understanding of GMP, GLP, SOPs, and documentation practices</li><li>Good analytical and troubleshooting skills.</li><li>Ability to work in rotational shifts and plant environment Preferred Candidate Profile</li><li>Experience in API / Pharmaceutical / Chemical manufacturing industry</li><li>Good exposure to QC laboratory operations</li><li>Strong attention to detail and documentation accuracy</li></ul>

Responsibilities: Strategic Leadership: <ul><li>Set the vision and direction for data and AI architecture for project and client.</li><li>Influence enterprise data and AI strategies, driving adoption of best practices in data, ML, and AI architecture.</li><li>Mentor and develop junior architects and engineers, fostering a culture of technical excellence and innovation.</li></ul> Architectural Excellence: <ul><li>Architect and design enterprise-scale data platforms and ML/AI solutions for scalability, reliability, and performance.</li><li>Define and enforce data and ML architecture standards, patterns, and governance frameworks for data pipelines, ML workflows, and analytics platforms.</li><li>Lead solution design for integrating data from diverse sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services.</li></ul> AI &amp; ML Leadership: <ul><li>Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems.</li><li>Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models.</li><li>Evaluate and recommend emerging AI/ML technologies and platforms, driving innovation in intelligent data products.</li><li>Provide Ethical AI leadership to ensure intelligent solutions are implemented when required and in safe methods.</li></ul> Technical Leadership: <ul><li>Oversee data modelling (e.g. medallion architecture), data governance, and quality frameworks. Implementing technical reviews and driving high standards.</li><li>Collaborate with engineering and DevOps teams to establish CI/CD and MLOps architectures using Azure DevOps, Kubernetes, and Terraform.</li><li>Guide the selection and implementation of visualization and analytics tools (Power BI, Tableau, PowerApps).</li></ul> Stakeholder Engagement: <ul><li>Engage with senior stakeholders to translate complex business requirements into technical solutions and strategic roadmaps.</li><li>Ensure all solutions meet security, compliance, and performance standards, and align with enterprise architecture principles.</li></ul> Innovation &amp; Emerging Technologies: <ul><li>Apply modern data and AI architecture patterns (Cloud Native, Steaming/batch ingestion, Agentic AI Design) and leverage platforms such as AI/ML, Big Data, and Data Lakehouse.</li></ul> Requirements: <ul><li>Minimum 8 years’ experience client facing roles specializing in Data and Architecture roles.</li><li>Experience in both Agile and Waterfall project environments.</li><li>Strong stakeholder management and communication skills.</li><li>Security and compliance awareness.</li><li>Industry certifications (e.g., AWS Solution Architect, Azure Data Engineer, GCP Data Engineer).</li><li>Experience mentoring or managing technical teams.</li></ul>

Responsibilities: <ul><li>Ensure compliance and correct implementation of all procedures and to identify solutions to fill the gaps</li><li>Ensure correct instore operations: logistics, administration, AFS</li><li>Ensure the best BOH organization to support sales staff</li><li>Ensure stock inventory /stock take objective results</li><li>Support the stores management role in effectively operating the boutique also in term of ROTA including match to traffic needs.</li><li>Ensure service to clients is properly supported at all times with the right equipment and teamwork flows (including food and beverage, etc)</li><li>Ensure availability of store supplies (packaging, food and beverage) at all times.</li><li>Ensure online and offline integration</li><li>Responsible for day-to-day in-store visual merchandising execution and maintenance</li><li>Oversee aftersales with ordering parts/drop off and liason with repair technicians.</li><li>Support all product launches, events and promotions with visual enhancements</li></ul> Requirements: <ul><li>Proactivity and problem solving attitude</li><li>Ability to coordinate back office activities to support sales</li><li>Ability to collaborate with Store Manager and HQ to support business</li><li>High knowledge of retail/ operations procedure to ensure smooth run of the store</li><li>Ideally understand RFID and SAP system</li></ul>

Role Description: <ul><li>Seeking a technically strong and commercially driven Territory Sales Executive to support the execution of strategic account plans at a regional level across Southern Germany, Austria, and Switzerland.</li><li>This role focuses on activating distribution networks, influencing contractors, and ensuring successful deployment of solutions across enterprise customer branches.</li><li>Working closely with the Strategic Account Executive and Enterprise Account Team, you will act as the key link between headquarters strategy and on-the-ground execution across an extensive distributor and contractor network.</li></ul> Responsibilities: <ul><li>Execute the strategy defined by the Strategic Account Executive across assigned regional branches.</li><li>Develop and maintain strong relationships with local and regional distributors within the territory.</li><li>Coordinate closely with Enterprise Account Teams to ensure effective coverage of enterprise and large (Bracket I) accounts, including OEM centers.</li><li>Support and engage approximately 5 key wholesalers (HQ level) and their ~90 regional branches through training and activation initiatives.</li><li>Deliver product training and technical support across distributor branches and contractor networks.</li><li>Work directly with contractors as key influencers in the sales process, ensuring they are equipped to specify and promote solutions.</li><li>Implement channel strategies to drive revenue growth and increase market share through distribution partners.</li><li>Negotiate and manage local agreements, pricing structures, and performance metrics with distributors.</li><li>Conduct regular business reviews with partners to track performance and identify growth opportunities.</li><li>Ensure full alignment and communication between stakeholders across the value chain (HQ, branches, contractors).</li><li>Promote the full portfolio including compression, controls, and electronics as part of a 360° service offering.</li><li>Travel extensively within the assigned region.</li></ul> Requirements: <ul><li>Technical degree or apprenticeship in refrigeration engineering (mandatory: Mechatroniker für Kältetechnik or equivalent).</li><li>Minimum of 5 years’ experience in a technical sales, application engineering, or channel sales role.</li><li>Strong technical understanding of HVAC/R systems, including compressors, controls, and electronics.</li><li>Proven experience working with distributors, wholesalers, and contractor networks.</li><li>Excellent interpersonal and stakeholder management skills.</li><li>Ability to work autonomously while collaborating effectively within a matrix organization.</li><li>Native-level German language skills.</li><li>Strong proficiency in Salesforce or similar CRM systems.</li><li>High willingness to travel across Southern Germany, Austria, and Switzerland.</li></ul>

Responsibilities: <ul><li>Lead and deliver Digital Measurement Analytics for Digital Platforms in Agile methodology to drive digital data strategy that includes collection &amp; validation of data and reporting.</li><li>Partner with onsite Stakeholders and various process owners in marketing, technology and digital teams to plan and implement strategic priorities.</li><li>Present analytical results and actionable recommendations to key stakeholders on a recurring cadence, and propose innovative analytics solutions to drive business growth and enhance the customer experience.</li><li>Responsible for team’s effective communication, project deliverables, coaching team on adhering to expected timelines, accuracy &amp; compliance with meticulous project management.</li><li>Lead internal initiatives, perform other duties and/or special projects, as assigned.</li></ul> Requirements: <ul><li>Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant Analytics experience.</li><li>Minimum 6+ years of relevant work experience in lieu of specified degree.</li><li>2+ years of experience in Digital or Web Analytics Domain utilizing tools such as Adobe or Google Analytics and 2+ years of experience in SAS or SQL.</li><li>1+ years of Experience in Managing People, Coordinating work, Supervising, Evaluating performance and ensuring employees are trained.</li><li>Minimum 1+ years of experience in Data visualizations tools such as Tableau to drive insights.</li><li>Excellent oral and written communication skills with ability to collaborate, articulate and present solutions cutting across functional/agile teams in a simple yet compelling manner</li></ul>

Overview: <ul><li>The HR Technology and Integration (T&amp;I) organization was established as part of the HR team’s journey through digital transformation.&nbsp;</li><li>Working as part of our Global HR Technology &amp; Integration team this role to Build, implement and improves global HR systems, data, reporting and analytics platform.&nbsp;</li><li>As a product owner you will Develop and improve existing HR systems in partnership with our Global Talent Rewards &amp; HR Services teams to meet business requirements.</li></ul> Responsibilities: <ul><li>Act as a Global Product Owner to support our Global Total Rewards systems &amp; development.</li><li>Partner closely with our Global Total Rewards team to provide product knowledge &amp; solutions.</li><li>Proactively recommend solutions and ideas to help address technical problems that hinder productivity within Total Rewards.</li><li>Collaborates with Total rewards business teams to analyse requirements, develops and implements various solutions &amp; procedures.</li><li>Provides expertise in the analysis, design, development, and implementation of our Global HRIS system &amp; applications.</li><li>Streamline &amp; continuously improve system configuration to support Global Total Rewards team</li><li>Research solutions to support HR programs and processes.</li><li>Acts as a liaison with IT (Internal &amp; External) on technical issues and projects requiring data integration and other technical support.</li><li>Troubleshoots production issues, including problem research and analysis, and performing steps for resolution.</li><li>Documents system specifications, configurations, processes and procedures.</li><li>Partners with IT, HR and business to ensure effective use of methodologies and communication of test strategies, test results and performance through testing teams</li><li>Audits and reviews changes within HRIS to ensure proper controls and separation of duties and assists in establishing new controls, as needed.</li><li>Contributes to training program development and provides Tier 3 end-user support. Partners with COE’s &amp; Shared Services on enhancements, new rollouts, etc.</li><li>Works with external vendors and other service providers to ensure the efficient, accurate, and timely exchange of information</li></ul> Requirements: <ul><li>Bachelor degree (or equivalent); advanced degree preferred.</li><li>Typically requires minimum of 5+ years of SuccessFactors experience with end to end implementation projects</li><li>SuccessFactors certification with experience and expertise in modules like Compensation and Variable Pay</li><li>Hands on experience with SuccessFactors Employee Central (EC)</li><li>Candidate should ideally have been experience in at least 1 previous global / regional implementation • Provided recommendations with half-yearly and periodic system updates</li><li>Ability to communicate recommendations and solutions to non-technical clients and end users.</li><li>Experience building and executing test scripts for HR information system upgrades and enhancements. • Desired ITIL Service Management Certified</li><li>Advanced proficiency in MS Office, especially Excel</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain dashboards and reports using Power BI and or Tableau</li><li>Connect to data sources including data warehouses (for example Redshift), ERP systems, and structured datasets</li><li>Prepare and transform data using Power Query, Tableau Prep, or similar tools</li><li>Build and maintain data models and calculations within BI tools to support scalable reporting</li><li>Translate business requirements into clear and effective visualizations and reports</li><li>Analyze data to identify trends, performance gaps, and opportunities for improvement</li><li>Ensure data accuracy by validating outputs against source systems and established definitions</li><li>Support user acceptance testing and incorporate feedback into reporting solutions</li><li>Maintain and enhance existing dashboards to improve usability and performance</li><li>Document key metrics, business logic, and report structures</li><li>Collaborate with cross-functional teams including business stakeholders and technical partners</li></ul> Requirements: <ul><li>Bachelor’s degree in Industrial engineering, Information Technology, Data Analytics, or related field</li><li>3 to 5 years of experience in Business Intelligence, Data Analytics, or Reporting roles</li><li>Experience developing dashboards using Power BI or Tableau</li><li>Experience working with enterprise data sources such as ERP systems or data warehouses</li><li>Experience supporting business or operational analytics, with supply chain exposure considered an advantage</li></ul>

Responsibilities: <ul><li>Leading development of advanced AI Agentic tech.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Communicating findings and insights to stakeholders in a clear and concise manner.</li><li>Staying current with the latest AI and machine learning trends and technologies.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices</li><li>Driving best practices across our data science functions.</li><li>Setting strategy and team direction, with a clear vision for Data Science.</li><li>Working with product leaders to apply data science solutions..</li><li>Evaluating and creating new frameworks and defining methodologies and governance.</li><li>Leading small- to medium-sized teams (direct or indirect).</li><li>Setting a high bar for model development.</li></ul> Requirements: <ul><li>3+ years of people management experience.</li><li>7+ years of AI/ML experience.</li><li>Significant experience in managing larger technical teams (direct or indirect).</li><li>Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues.</li><li>Be a natural problem solver, able to take a lead in collaborating to resolve issues.</li><li>Have excellent communication skills and the ability to convey information clearly to senior stakeholders.</li><li>Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.</li><li>Experience with reinforcement learning, prompt engineering, hallucination mitigation.</li><li>Working understanding of the business risks associated with applying LLM in a business.</li><li>Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).</li><li>Strong coding skills in Python or another programming language.</li><li>Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.</li></ul>

Responsibilities: <ul><li>Lead experimentation and model development for AI/ML solutions in legal products.</li><li>Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Proven experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Able to analyze large-scale legal datasets to extract insights and improve model performance.</li></ul>

Responsibilities: <ul><li>Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Education: Master’s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Strong experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Strong foundation in statistics, modeling, and large-scale text processing.</li></ul>

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123 solutions architect bristolmalmesbury Jobs found

QC Officer

Data & ML Architect

Stock Keeper + In-Store Visual Merchandiser

Territory Sales Executive

AVP, Digital Analytics

HR Systems and Workforce Analyst

Business Intelligence Analyst

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

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123 solutions architect bristolmalmesbury Jobs found

QC Officer

Data & ML Architect

Stock Keeper + In-Store Visual Merchandiser

Territory Sales Executive

AVP, Digital Analytics

HR Systems and Workforce Analyst

Business Intelligence Analyst

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow is on a mission to connect companies with the best talent across the globe.