72 jobs found

Job Title: Process Engineering Expert - III-V Location: Suffolk, UK - onsite working required Job Type: Full-Time, Permanent Experience Level: Senior / Expert Key Responsibilities Lead the design and optimization of InP wafer processing methods, including epitaxy, photolithography, deposition, etching, and metrology. Collaborate closely with cross functional teams to ensure effective integration of fabrication processes into device manufacturing. Design and implement Design of Experiments (DOE) to enhance yield, reproducibility, and device performance. Troubleshoot and resolve technical process issues to ensure consistent quality and minimal downtime. Mentor and support junior engineers and technicians, promoting continuous development and knowledge sharing. Monitor industry trends and emerging technologies to drive innovation and maintain a competitive advantage. Document process flows and work instructions, ensuring compliance with quality and safety protocols. Communicate findings and process insights effectively to internal stakeholders and management. Qualifications & Experience Required Ph.D. in Materials Science, Physics, Chemistry, Electrical Engineering, or a related discipline. Over 15 years of hands on experience in semiconductor wafer processing, with a focus on III V materials (e.g., InP, GaAs). In depth knowledge of photonics fabrication processes and equipment. Proficiency in statistical process control and data analysis. Strong leadership and communication skills. Familiarity with industry standards and best practices in semiconductor manufacturing. Please get in touch with Christina McGuire to hear more about this position and similar roles.

At McLaren, our mission is to set the standard for high performance in sport. And everyone, in every part of the team, has a role to play. So if you want to test your ideas with the world watching And measure your progress in milliseconds And play your part in racing history You belong here. High performance starts with you. Purpose of the Role To support the planning and delivery of a portfolio of design projects and support the relevant Design Heads with managing any associated resource allocation, under the guidance from the Engineering Project Manager. Key Responsibilities Assisting the design team with scoping projects and allocating resources. Helping to develop design plans, mapping interdependencies across multiple teams. Tracking and reporting progress to the Engineering Project Manager and design leadership. Contributing to weekly project review meetings, providing updates and agreeing priorities. Communicating risks to project milestones with key stakeholders. Supporting capacity planning for upgrades and performance development strategies. Helping to create and maintain dashboards and planning tools. Liaising with partners such as programme office, aero, and manufacturing to support delivery. Providing support to other teams when needed. Any other tasks as required by the Company. Knowledge, Skills and Experience A degree in Engineering or a related discipline (or equivalent). Strong teamwork skills and the ability to build positive relationships. Self-motivation, initiative, and a proactive approach to problem-solving. Ability to quickly grasp new concepts and apply them in dynamic environments. Clear communication skills and a collaborative mindset. Flexibility and adaptability in managing workloads and schedules. Confidence working to deadlines in a fast-paced environment. An interest in continuous improvement and learning new techniques. What McLaren can offer? We constantly strive to be better tomorrow than we are today. Our ambition is to be the most pioneering and exhilarating racing team in the world, and our collective task is to set the standards for high performance in sport. We show up every day with energy and enthusiasm, ready to play our part. We encourage and support diversity, equity and inclusion. We will actively promote a culture that values difference and eliminates discrimination in our workplace. McLaren Racing is based at the iconic McLaren Technology Centre (MTC) near Woking. Our state of the art, sustainable campus offers many facilities including a gym, restaurant and indoor and outdoor break out areas, as well as direct access to park and common land. The MTC is connected to Woking mainline station via regular shuttle buses, from which London Waterloo is a 30 minute train ride. We offer a comprehensive package of benefits including private healthcare, car schemes, life insurance and generous pension contributions.

# Unleash the Power of Multi-Mission Excellence: Safeguarding the Seas for the World's Navies. # Step into a world where cutting-edge technology meets unparalleled expertise. Ultra Maritime pioneers delivering multi-mission solutions that protect and empower the naval forces worldwide. With our extensive portfolio of capabilities, our innovations are utilised on naval fleets across our allied navies around the globe.As the maritime and underwater battlespace evolves, we tirelessly push the boundaries to develop advanced specialist systems that provide our 'five-eyes' Defence customers with an unbeatable warfighting edge. From surface vessels to sub-surface operations and unmanned platforms, we are revolutionizing the way naval missions are executed.We thrive on collaboration and partnering with our customers to ensure mission success. Our expert solutions encompass an array of game-changing technologies, including state-of-the-art sonar, radar, expendables, signature management, and naval power systems.Join us in shaping the future of naval warfare and together, we will safeguard the seas and empower navies worldwide! Flexible Working At Ultra Maritime, we understand that your personal life is just as important as your professional one. That's why we support and promote flexible working arrangements where possible. Whether you prefer a hybrid model, working remotely, or the structure of being on-site, we will support you as best as we can.Embrace the freedom to shape your work hours according to your needs, whether it's part-time, compressed hours, or a unique arrangement that suits your lifestyle.Loudwater, Greenford, and Weymouth exclusively offer a 9-day fortnight working pattern, offering extended weekends every other week, granting you more time to pursue your passions. And that's not all - we provide flexible start and finish times, as well as Time off in Lieu (TOIL) for up to 1 day per calendar month which tie in with our Values of Integrity, Transparency and Alignment. We welcome the challenge to work in new ways and have trust in you when getting the job done because we recognise, our business is our people. Job Description The Ultra Mechanical Engineering function is responsible for the design, development, test, and documentation of mechanical assemblies for products, which includes new development, change orders, process improvements, and documentation. It supports designs throughout the concept, development and production stages of the system life cycle. Key Responsibilities for the Senior Mechanical Engineer, as part of a multi-disciplinary team: Supporting the definition of Mechanical architecture, system and sub-system requirements and their validation and verification. Support to developing, documenting and delivering viable mechanical solutions for complex systems using the company engineering toolsets. Creation and peer review of technical artefacts, including mechanical design documentation, design data packs, analysis, plans and procedures in accordance with our product development framework. Development of the project mechanical test solution, and test procedures to support the verification of the hardware. Supporting the mechanical integration, verification and acceptance testing collecting and presenting evidence as necessary. Prepare and present mechanical technical solutions and risks to stakeholders (internal and external) Provision of in-service and production support to internal and external customers May act in technical led role on specific projects or activities. Support the continuous improvement of the Mechanical Engineering function, including processes and tools. Adhere to the company's mechanical engineering processes and procedures. Coaching and mentoring of more junior Engineers; Skills, Qualification and Experience as a Senior Mechanical Engineer Required Typically, a Bachelor Degree (or equivalent) in a related field Experience within a relevant complex engineering environment. Experience across the whole project lifecycle of developing mechanical solutions against design brief/requirements set. Experience in mechanical design and documentation using MCAD, MCAE, PLM and ERP toolsets (Creo, Autodesk Inventor, Windchill, IFS or similar) A good understanding of key mechanical engineering principles e.g. material selection, assembly techniques and manufacturing processes. Hands-on experience of designing complex systems involving multiple engineering disciplines and understanding of associated challenges and risks. Successful delivery of reliable solutions to timescale and requirements. Hold Security clearance at SC level or eligibility to obtain it.Desired Experience of designing products in the Defence domain (preferably Maritime). Experience of using mechanical design analysis techniques and toolsets to evaluate different potential solutions e.g. trade-studies, calculations, modelling and simulation. A team-oriented individual that works collaboratively to achieve team goals. Strong communication skills; positive attitude. Ability to effectively prioritize and execute tasks in a deadline-oriented environment.Benefits on offer Optional 9 day fortnight TOIL Flexible working hours 1pm finish on a Friday Annual bonus Hybrid working for certain job roles. Casual dress 25 days holiday Christmas shut down. Option to buy or sell holiday. Option to purchase private health care, dental, critical illness etc via salary sacrifice. Reward hub - discounts at over 200 online stores 4 x annual salary life cover Pension starting at 5% Employer / 4% Employee. You can select your employee contribution level from 4% to 70% (providing this sacrifice does not cause your salary to drop below the National Minimum Wage/ National Living Wage). Relocation Support Attracting high-level talent and people that can add value and expertise, is vital to our success. Attracting and retaining brilliant people is imperative so that's why we search across the UK for talent. We offer financial support to candidates that are considering relocating; this is considered on a case-by-case basis per role and subject to HMRC guidelines. Nationality Requirements Candidates must be eligible to obtain the relevant security clearance required for the role, due to the nature of the programmes we deliver for our customers. Diverse & Inclusive Employer Ultra Maritime is an equal opportunities employer that values diversity, inclusion, equity and equality. Underpinned by our values, behaviours, and policies, we want you to feel empowered to be your best and authentic self.We promote a workplace that welcomes people from all backgrounds and cultures; believing that this will increase our diversity of thinking, and ultimately ensure we continue delivering on our commitments to our customers.We do not discriminate based on race, religion, colour, national origin, gender identity, sexual orientation, age, marital status, veteran status, or disability status and welcome applications from all candidates.Company: Ultra Maritime

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries. Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement. This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi million dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action. The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high performing teams, this role is for you. What You'll Do Lead and mentor junior data scientists and analysts-provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi workstream analytics projects-oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end to end data science workflows-from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI powered analyses-including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights-create compelling data narratives, develop executive ready presentations, and communicate technical results to non technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients-build long standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development-participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities. Required Qualifications 5+ years of hands on experience conducting data science and advanced analytics-not just ad hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams-including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit learn, statsmodels, visualization libraries). Comfortable writing production quality code, not just notebooks. Solid foundation in statistics and machine learning: hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures-understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms: Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills-ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed. Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference in differences, or instrumental variables. Hands on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine tuning pretrained models for NLP, time series, or tabular data applications. Experience building AI assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI assistant rapid data application development using Cursor, Lovable, v0, etc. Experience with time series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces. Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field. Why Huron Variety that accelerates your growth. In consulting, you'll work across industries and analytical challenges that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy & Utilities, and more-each engagement is a new domain to master and a new problem to crack. Impact you can measure. Our clients are Fortune 500 companies making significant investments in analytics and AI. The insights you generate will inform real decisions-pricing strategies, customer segmentation, operational improvements, strategic investments. You'll see your analysis drive outcomes. A team that thinks deeply. Huron's Data Science & Machine Learning team is a close knit group of practitioners, not just advisors. We develop hypotheses, analyze data, and deliver insights that hold up to scrutiny. You'll work alongside data scientists and engineers who care about getting the answer right and telling the story clearly. Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles. Position Level Manager Country United Kingdom

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris Technologies is the Trusted Disruptor in the defense industry. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title - Senior Buyer Job Location - Farnborough Job ID - 31471 About this opportunity and L3Harris UK From 11 UK sites, our team of nearly 1,000 people delivers unique capabilities across space, air, land, sea and cyber for military, security and commercial customers across the UK and worldwide. L3Harris in Farnborough engineer and maintain Night Vision Goggles, Precision Approach Radar systems, and Tactical Radios. Notably, we are the proud designer, supplier and maintainer of the 50,000 tactical radios in the Bowman tactical C4I system in service with the UK Armed Forces and are working to define and deliver the next generation system, Morpheus. A few of our employee benefits are: 25 days holiday per year (plus bank holidays), increasing with long service and with the opportunity to buy/sell up to 5 days Private medical insurance with optional family cover Pension scheme of up to 8% employer contribution Life Assurance 4x salary (flexible up to 10x) Group income protection Flexible opt-in extras such as a health care cash plan, dental insurance, gym membership, critical illness cover, cycle to work scheme and electric car scheme Employee Family Assistance Program providing mental health and wellbeing support Professional membership reimbursement (discretionary) What the role will involve The responsibilities of your role will include the following: Procurement & Supplier Management in accordance with L3Harris processes. Plan and execute procurement activities for raw materials, components, goods, and services to meet business needs. Obtain and evaluate bids, negotiate terms, and make or recommend supplier awards. Establish and maintain strong relationships with suppliers to ensure reliability, quality, and value. Negotiate pricing, contracts, and long-term agreements to secure favorable terms and mitigate risk. Manage supplier performance, resolve disputes, and handle claims, rejections, returns, and other supply issues. Analyse market trends, supplier operations, and cost drivers to develop sourcing strategies and achieve cost reduction targets. Identify and implement process improvements and innovations to enhance procurement efficiency and effectiveness. Contribute to the development of departmental goals, budgets, and operational plans. Monitor and report key procurement metrics to drive performance and support strategic decision-making. Lead and manage complex procurement projects from planning through execution, ensuring alignment with business requirements. Coordinate cross-functional teams to achieve procurement objectives and project milestones. Ensure compliance with company policies, ethical standards, and relevant laws and regulations (including anti-corruption and trade compliance). Present recommendations and analysis to management and cross-functional teams. Provide training, coaching, and technical guidance to junior buyers and team members. What you'll bring The role requires the following experience and skills: Proven experience in a production, manufacturing, or operations role. Knowledge of manufacturing quality control and rework processes. Proficiency in MS Office and familiarity with production reporting tools. High attention to detail with the ability to multitask in a dynamic environment. Important to know Due to the nature of our work many our roles require a UK nationality and the ability to obtain a security clearance. Applicants who accept a conditional offer of employment must meet the requirement of right to work in the UK and must meet eligibility requirements for access to classified information and will be subject to government security checks. L3Harris Technologies is proud to be an Equal Opportunity Employer. We are committed to maintaining a workplace that is free from unlawful discrimination and offers equal opportunities for all. Applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief, and marriage and civil partnerships.

At McLaren, our mission is to set the standard for high performance in sport. And everyone, in every part of the team, has a role to play. So if you want to test your ideas with the world watching And measure your progress in milliseconds And play your part in racing history You belong here. High performance starts with you. Purpose of the Role: To support the planning and delivery of a portfolio of design projects and support the relevant Design Heads with managing any associated resource allocation, under the guidance from the Engineering Project Manager. Principal Accountabilities: Support the design team with scoping design projects and the allocation of resource to deliver them. Support the development of design plans, including mapping and building in cross design team activity interdependencies. Carry out detailed tracking and reporting of task delivery adherence to the Engineering Project Manager and design leadership. Support project review meetings between production planning and design, offering status updates and agreeing priorities for the week. Communicate design milestone risks to key stakeholders (such as design leadership, programme office, manufacturing and build) Support the engineering project manager with capacity scenario planning in support of upgrades & performance development strategy Support the creation and maintenance of design dashboards and planning tools Liaison within key partners to support project delivery (such as programme office, aero, manufacturing) Provide support to other teams, as workload dictates Knowledge, Skills and Experience3> Degree qualified in an Engineering related discipline, or equivalent experience Experience in a similar position within an Engineering or Motorsport organisation Excellent team player who can build strong working relationships with the design teams and wider stakeholders Highly self-motivated and demonstrates initiative Ability to rapidly understand topics and apply new information in dynamic environments. Values collaboration and concise, transparent communication Has a flexible and agile approach to the scheduling of work Ability to work to tight deadlines Thrives in a dynamic, fast-paced working culture Experience of continuous improvement techniques would be a distinct advantage What McLaren can offer? We constantly strive to be better tomorrow than we are today. Our ambition is to be the most pioneering and exhilarating racing team in the world, and our collective task is to set the standards for high performance in sport. We show up every day with energy and enthusiasm, ready to play our part. We encourage and support diversity, equity and inclusion. We will actively promote a culture that values difference and eliminates discrimination in our workplace. McLaren Racing is based at the iconic McLaren Technology Centre (MTC) near Woking. Our state of the art, sustainable campus offers many facilities including a gym, restaurant and indoor and outdoor break-out areas, as well as direct access to park and common land. The MTC is connected to Woking mainline station via regular shuttle buses, from which London Waterloo is a 30 minute train ride. We offer a comprehensive package of benefits including private healthcare, car schemes, life insurance and generous pension contributions.

Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new

Red Bull Technology has an exciting Junior Manufacturing Engineer Level 4 / Level 5 Apprenticeship opportunity to lead and support improvement initiatives across our Supply Chain operations. The right candidate will work within a structured and supportive Manufacturing Engineering environment, applying their apprenticeship learning while gaining hands on experience in technical problem solving, data analysis, project management and continuous improvement. You'll help ensure our Chassis Supply Chain has the capability to meet its objectives by identifying and delivering focused improvement projects, and by supporting continuous improvement activities across the organisation. Key Responsibilities: Work with Supply Chain teams to identify emerging capabilities, assess their viability, and understand their potential impact on future strategy. Build strong working relationships and maintain clear communication with peers and stakeholders across the Supply Chain. Support and actively engage in continuous improvement to help strengthen a CI focused culture. Help Supply Chain teams improve performance through process and data analysis, waste identification, problem definition, solution development, and preparing reports or presentations for stakeholder buy in. Collaborate with stakeholders (Supply Chain, Finance, Facilities, IT) to develop robust business cases and financial models, including capital investment proposals. Support Manufacturing Engineering in creating and maintaining development roadmaps aligned with Supply Chain objectives. Develop project management skills by supporting projects through the full lifecycle, from requirements capture and planning to supplier management, installation, commissioning, and final handover. What We're Looking For: This role would suite someone with experience in engineering/high precision manufacturing or a postgraduate looking to embark on a career within engineering/operations. In this role you will receive a level 4 / level 5 qualification. Key Characteristics we're looking for are: Analytical - Comfortable working with data and identifying basic trends or anomalies. Curious - Eager to learn, ask questions, and understand how things work. Collaborative - Team player who enjoys working with others and supporting shared goals. Organised - Able to manage tasks and prioritise effectively with support from others. Hands On - Willing to spend time on the shop floor, learning from real world processes. Adaptable - Open to feedback and comfortable adjusting to changing priorities, Resilience - Ability to stay positive and focused when faced with resistance and delays. At Red BullTechnology, we'remore than a Formula 1 team - we're a high performance innovation hub, pushing the limits of what's possible. We thrive on big ambitions, bold engineering, and a relentless drive to win. Our success is built on trust, collaboration, and the belief that the best ideas come from those who dare to challenge the norm. Alongside a competitive salary, you'll enjoy: Bonus scheme Private healthcare A pension scheme On site gym Free daily food allowance And many more! But above all, you'll be part of a world class team, powering cutting edge technology and driving championship winning cars. Ready to take on the challenge? Apply now and be part of the future of F1. Job Posting End Date Fri, 16 Jan 2026