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At PepsiCo UK, we’re proud to make some of the nation’s favourite snacks and drinks—like Walkers, Quaker, Doritos, Pipers, and Monster Munch. With sites across the UK, including our Quaker mill in Cupar and Doritos factory in Coventry, we’re also home to one of the world’s largest crisp factories in Leicester. This role plays a vital part in orchestrating the predictive maintenance strategy through our Engineering vision and asset Reliability framework. This position will provide specialist technical support and guidance relating to vibratory monitoring and other machinery condition monitoring to our manufacturing, service and utilities areas. Develop and implement an effective condition monitoring system to monitor performance of mechanical rotating machineries in order to improve reliability and availability assets • Vibration analysis (fixed and remote), • Thermography, • Acoustic monitoring, • Process statistics/analysis, • Lubrication programme, • Assist the Engineering shift and support teams in carrying out Equipment Failure, Root Cause Analysis and Reliability Analysis., • Supervise periodical condition monitoring and verification checks on various equipment using our fixed monitoring, remote monitoring system and other equipment condition monitoring systems and report any abnormalities., • Generate periodic survey reports/progress reports on all CBM activities., • Provide advanced support and direction to the site on CBM issues, • Responsible for reviewing and interpreting machine vibration data during root cause analysis (RCA) of failures. This includes real time and historical data in various formats from all existing systems and surveys, • Ensure the adequate frequency of the scheduled condition monitoring and reliability improvement programs relating to reliability and performance of equipment failures., • Prepare detailed condition monitoring and performance monitoring check lists, and estimated man-hour and job requirements., • Coordinate closely with other sections for Engineering shutdowns and carry out reliability and performance analysis including base line data collection and analysis following new installations, modifications, major maintenance or overhaul of mechanical machinery and equipment., • Identify needs for maintenance and overhaul of equipment based on condition monitoring, reliability, and performance data analysis and inform maintenance section to raise maintenance work orders., • Review and discuss equipment condition monitoring work progress, performance and related issues through the Reliability frame work, ensuring systematic and consistent implementation of work methods and procedures used in reliability management and engineering while recommending improvements., • Receive, investigate, and resolve complaints related to performance or condition of mechanical equipment and machineries, evaluate innovative technologies, and identify opportunities for improvement, recommending changes/upgrades to maximise asset availability., • Time served Engineer with a Mechanical/Electrical discipline, • Sound knowledge of rotating equipment such as pumps, bearings, gearbox, motors etc., • Industrial experience in a food manufacturing environment would also be an advantage, • Computer literate. Familiarity with computer software (word, excel, etc), • Strong problem solving skillset (Root Cause Analysis tools, Kaizen, Ishikawa, Cause and Effect), • Good influencing, presentation, communication and decision making skills, • Proven background in coaching of technician resource on the front line Why Join Us?We offer a competitive salary, bonus, flexible working, and a wide range of benefits—from critical illness cover and discounted gym memberships to enhanced parental leave and electric car schemes. Our commitment to wellbeing and career growth makes us a Top Employer for 14 years running. Equal OpportunitiesWe’rean equal opportunity employer, committed to the Equality Act 2010. We welcome applicants from all backgrounds and will provide any necessary adjustments to support you through the recruitment process. About PepsiCoPepsiCo products are enjoyed by consumers more than one billion times a day in more than 200 countries and territories around the world. PepsiCo generatednearly$92 billionin net revenue in 2024, driven by a complementary beverage and convenient foods portfolio thatincludes Lay’s, Doritos, Cheetos, Gatorade, Pepsi-Cola, Mountain Dew, Quaker, and SodaStream. PepsiCo’s product portfolio includes a wide range of enjoyable foods and beverages, including many iconic brands that generate more than $1 billion each in estimated annual retail sales. Guiding PepsiCo is our vision to Be the Global Leader in Beverages and Convenient Foods by Winning with pep+ (PepsiCo Positive). pep+ is our strategic end-to-end transformation that puts sustainability and human capital at thecentreof how we will create value and growth byoperatingwithin planetary boundaries and inspiring positive change for planet and people. For more information, visitwww.pepsico.com, and follow onX (Twitter),Instagram,Facebook, andLinkedIn@PepsiCo. #J-18808-Ljbffr

16 Month Fixed Term Contract A leading financial services organisation is seeking an experienced and analytical Senior Modeller to join its growing Risk Management function. This is a unique opportunity to shape a newly integrated group credit modelling capability following a recent strategic partnership. As Senior Modeller - Credit Risk, you’ll play a pivotal role in designing, developing, and validating credit risk models across the customer lifecycle. Your work will support data-driven decision-making and ensure robust credit risk assessment and regulatory compliance (e.g., IFRS 9, Basel III, IRB). You’ll bring thought leadership to a team of analysts and modelers, helping to drive improvements in credit model delivery across the organisation. • Design and maintain credit risk models including scorecards, PD/LGD/EAD models, and stress testing frameworks., • Lead model development for regulatory and business use cases (e.g., IFRS 9, capital adequacy, collections, pricing)., • Oversee model validation and performance monitoring to ensure accuracy, stability, and compliance., • Collaborate with stakeholders across Risk, Finance, Compliance, and IT to integrate models into decision systems., • Ensure models meet regulatory standards and prepare documentation for audit and regulatory review., • Provide guidance and quality assurance to analysts and modelers., • Translate complex statistical output into actionable business insights., • Degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Finance, Engineering)., • Substantial credit risk modelling experience within banking or financial services., • Proficiency in SAS, SQL, or similar tools., • Strong understanding of credit lifecycle, regulatory frameworks (IFRS 9, Basel), and model governance., • Proven track record of delivering compliant credit risk models across multiple firms., • Experience in risk integration programmes and cross-functional collaboration., • Leadership experience in technical and strategic environments., • 28 days holiday a year plus bank holidays and a holiday buy/sell scheme, • Annual discretionary bonus scheme (up to 20% based on company performance), • Personal pension with matched contributions (5% employer contribution plus employer pension matching (limit of 10%)), • Maternity, paternity and shared parental leave, • Life assurance (6 times annual salary), • Private medical insurance for yourself and your family at a discounted rate, • Eligible for health screening This is a chance to be part of a forward-thinking organisation with a strong purpose and commitment to innovation. You’ll work in a collaborative environment where your expertise will directly influence strategic outcomes and regulatory success. • Seniority level: Mid-Senior level, • Employment type: Full-time, • Job function: Analyst and Information Technology, • Industries: Staffing and Recruiting #J-18808-Ljbffr

• Leading program teams of Engineers to deliver effective use of Virtual and Physical tools and properties to support the development and validation of design from pre-IDJ to post J1 timings, • Drive and support design systems meetings to achieve the dimensionally optimised design. Actively supporting the cross functional team on daily basis for all dimensional management issues., • Guide and support DVA engineers for day to day tolerance analysis issues such as CDVR analysis, Measurement data analysis, statistics, functional measurements., • Lead Engineering, Process and Perceived Quality and Supplier teams with Build Process selection and improvement plans, Supplier liaison with respect to tolerance specification for PIA components and assemblies, Locator and Measurement Point Selection processes and feedback tolerance specification data to PD, Stamping, Body Construction and other functions., • During Concept and early Design phases assess DVA concept "clay" vehicle models for complexity and anticipated quality issues, benchmarking against in-house vehicles and a specified competitor set., • Support Prototype and Launch activities developing root cause analysis, control plans and handover documentation as required to support Production ramp up., • Undertake any other work as directed by their line manager in connection with their job as may be requested from time to time., • Dimensional Management, • Body Construction or Final Assembly Manufacturing Engineering, • Coordination of multifunctional teams, • Tooling and fixture design, • Comprehensive MS office (excel), • Relevant degree or equivalent experience, • Team leadership, • 3DCS and/or VisVSA, • Team Centre engineering, • Six Sigma Problem solving skill sets Mid-Senior level Contract Design Automation Machinery Manufacturing #J-18808-Ljbffr

This role will suit someone who is process orientated, organised and who makes sure that every question is asked proactively in the procurement process. There will be daily opportunities to develop technical knowledge as well as form sound commercial foundations. Important measures of success would be; accuracy of information presented and ownership of delivery process from start to delivery. • Full time, • On site (Hybrid requirements can be discussed), • Purchase and deliver goods and/or services in accordance with the various programme delivery schedules and budgets., • Work collaboratively with the Engineering, Operations and Programme Management Teams, • Strictly maintain an open order report that accurately conveys delivery information to the wider business, • Send out RFQ packs diligently and consistently, • Strengthen the company's position to foster negotiation with suppliers, • Prepare and raise purchase orders including delivery schedules, • Serve as an interface to the company for suppliers and do so with a professional approach, • Use data and statistics to identify areas to improve efficiency and reduce cost, • Take ownership of the procurement of parts and services, ensuring that they are delivered to the expected standard and on time, • Excellent interpersonal skills to facilitate negotiation, • Have an organised and disciplined approach, • Be able to condense information into reports and summaries, • Be familiar with the major applications within Microsoft Office, • Possess an awareness of basic engineering processes and technical drawings, • Qualified at degree level. #J-18808-Ljbffr

Jan 16, 2018 University of Warwick; joint post between the Departments of Computer Science and Statistics. Fixed-term contract for 24 months. The start date to be agreed with the successful candidate. Salary £29,799 – £38,833 per annum. We are seeking to recruit a postdoctoral research fellow to work in the area of machine learning and spatial statistics. You will be expected to perform high quality research under the supervision of Dr. Theo Damoulas and Prof. Mark Steel, as part of the Turing-Lloyds Register Foundation funded project ‘Air Quality Sensor Networks’. This project is likely to involve hierarchical Bayesian models, nonparametric Bayesian inference, graphical models, active learning, experimental design and issues in spatio-temporal inference such as non-stationarity and non-separability. The expectation is that you will produce breakthrough research results in the areas of sensor placement, high-resolution space-time forecasting, dynamic modelling, and contribute to publishing these results in top rated venues. You will possess a PhD or an equivalent qualification in Statistics or Computer Science or Applied Mathematics (or you will shortly be obtaining it). You should have a strong background in one or more of the following areas: Bayesian inference, spatial statistics, probabilistic machine learning. The post is based in the Departments of Statistics and Computer Science (joint appointment) at the University of Warwick, but the work will be conducted in close collaboration with the Alan Turing Institute. You will frequently travel to Turing to participate in meetings and present your work with the opportunity to spend considerable periods of time visiting and working in the institute. You will join a team of researchers affiliated with the ATI and led by Dr Theo Damoulas, including research assistants and PhD students in statistics and computer science. Candidates should provide their application form a CV, a list of publications and a research statement. More details and an application form can be found at fac/sci/statistics/staff/jobs_vacancies #J-18808-Ljbffr

Level Up Your Career! At Kwalee, you’ll join a gaming powerhouse that boasts a mobile empire with 1.5 billion+ downloads alongside a thriving PC & Console division that has achieved numerous global chart-topping releases across Steam, Consoles, and Amazon, driving millions of Wishlists. Most recently publishing breakout hits such as The Precinct and Town to City. It’s a unique chance to bring your expertise to a global studio that dominates both the mobile, and the indie PC and Console space. At Kwalee, as well as a competitive salary we also offer; Private Medical Insurance, Dental Insurance, Life Assurance, Royal London Pension, a Free On-site Gym, Dog-friendly Office, LinkedIn Learning, 25 holiday days + bank holidays, and 1 day extra holiday for each year of service capped at 5. Kwalee’s Growth Analytics team is looking for a Senior Growth Analyst to be the early-warning radar and the money brain of our mobile portfolio. Whenever the data hints at a problem or an opportunity, you’ll help us see it, size it, and act on it fast. You go way beyond reporting. You’re the kind of analyst who says: “Here’s an opportunity, here’s why it’s happening, here are three ways to win it, and I’ll check next week how we did.” This role is based onsite 5 days per week at our Leamington Spa studio, where our daily in-office collaboration fuels creativity and innovation. • Be our early-warning radar. Build smart, automated monitoring across revenue, spend, ROAS, and retention so the right people know what’s changing, quickly., • Build the money models. Create and improve the LTV and ROAS models that guide our UA targets., • Guide where the money goes. Help UA find where the next pound of spend works hardest across games and channels., • Detect, diagnose, recommend. When something moves, find out why, put a number on it, and bring clear options., • Prove what works. Help the whole team measure the real impact of their work, so we learn from every win., • Level up creative testing. Help design how we test and pick winning ads, and the dashboards that track them., • Tell the story. Share clear, simple insights with the team and leadership. Portfolio insight and commercial modelling. You’ll be the first to spot what’s changing across our games, put a number on it, and bring a clear recommendation; you’ll keep our LTV models fresh so every UA decision stands on solid ground. How we’ll celebrate your success: • How early we spot changes, and how useful the alerts are., • Accuracy of LTV forecasts., • Value of the recommendations the team acts on., • How clearly we can see the impact of our work., • Several years of analytics experience in mobile games or another app business with paid acquisition., • Strong SQL and Python (or R); you enjoy building models, not just queries., • Hands-on experience with LTV prediction, cohort analysis, and ROAS modelling., • A solid grasp of experiment design and statistics., • Commercial instinct: you talk in outcomes and recommend actions., • A clear communicator who makes data easy for everyone., • Experience building automated monitoring or anomaly detection is a big plus., • Familiarity with mobile attribution and ad data., • Generous Holiday: Start with 25 days of annual leave, plus bank holidays. You'll also earn an extra day for every year of service, up to 5 years!, • Flexible Working:We offer core hours that allow you to work flexibly around your life, and a bank of 'Work From Home' days to use when you need them., • Health Cover:Private medical cover, life assurance, a solid pension plan, and cover for dental and optical care., • Recharge: Take advantage of our on-site gym and a supportive atmosphere that prioritises your wellbeing., • Free Food & Drink:Fuel your day with unlimited free snacks and drinks., • Gaming Goodies:Receive Steam codes for all our game releases!, • Dog-Friendly Office:Bring your furry friend to our vibrant, fun office., • Office Location:Leamington Spa office location, with free parking and electric charging stations., • Merch & Events:Get exclusive Kwalee merch, enjoy fun seasonal events, and stay informed with regular town halls., • Growth & Learning:Full access to LinkedIn Learning to support your continuous professional development. At Kwalee, we take pride in being an equal opportunity employer, where we believe that diversity and inclusion are essential to driving creativity. We are committed to creating a safe, welcoming, and supportive environment where everyone can thrive. Our culture is built on celebrating the diverse voices of our team members, fuelling innovation and strengthening our connection to our players. We are dedicated to advancing equity, diversity, and inclusion across all areas of life, including age, disability, gender identity, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, and sexual orientation. We recognise the importance of self-development, career progression, and well-being in retaining our talented team. At Kwalee, we celebrate individuality and encourage everyone to bring their authentic selves to work. #J-18808-Ljbffr

• Lead the design and delivery of scalable, resilient data pipelines into BigQuery, integrating data from a wide range of internal systems, APIs, databases, files, webhooks and event streams., • Shape the engineering approach across Google Cloud Platform (GCP), working with technologies including BigQuery, Cloud Storage, Pub/Sub, Datastream and Cloud Composer/Airflow, alongside Terraform and infrastructure-as-code., • Set and champion high engineering standards across data modelling, dbt (data build tool) transformations, testing, monitoring, documentation, deployment, version control and cost optimisation., • Partner with teams across the firm to turn business needs into scalable, reusable data products, bringing together data from external and internal sources such as Companies House, HMRC, Exchange Online, Active Directory, iManage and Dayshape., • Embed security, governance and data quality by design, ensuring appropriate controls around data lineage, access, GDPR compliance, least-privilege security and the handling of sensitive client, HR, payroll and financial information., • Provide technical leadership to the wider team, reviewing designs and code, mentoring data engineers and analysts, and helping to strengthen engineering capability across the Innovation Team., • Enable data to deliver real business value by working with developers and analysts to make warehouse outputs accessible through Power BI, automation workflows, AI agents and internal applications., • Evaluate technology and integration options, making pragmatic build-versus-buy recommendations that balance business value, security, scalability, supportability and cost., • Champion data enablement across Menzies, supporting colleagues to confidently access, understand and use data safely and effectively., • Help shape the Innovation Team roadmap, prioritising strategic, repeatable platforms and solutions that can deliver value across the firm rather than one-off fixes. We're looking for an experienced and curious data professional who combines strong technical expertise with a practical, people-focused approach. You'll be comfortable taking ownership, making sound technical decisions and bringing others with you; whether you're mentoring colleagues, partnering with stakeholders or turning a complex business challenge into a scalable solution. You don't need to tick every box. We're interested in people who can bring the right mix of experience, technical capability and ambition to help us continue developing our data and innovation capability. What you'll bring • Strong hands-on experience in data engineering, analytics engineering or data platform roles, typically gained over 5+ years, with experience operating at a senior or leadership level., • Advanced SQL and Python skills and experience using them to build reliable, production-ready data solutions., • Strong experience with cloud data warehouses, ideally BigQuery, and a good working knowledge of the wider Google Cloud Platform (GCP) ecosystem., • Experience with modern data engineering tools and practices such as Airflow/Cloud Composer, dbt, Git/GitHub, CI/CD and Terraform or other infrastructure-as-code tooling., • A solid understanding of data modelling, dimensional modelling, orchestration, testing, data quality and operational monitoring, with a focus on building solutions that are scalable and maintainable., • Experience designing and operating production-grade data pipelines, integrating data from sources such as APIs, databases, flat files, webhooks and message queues., • A strong appreciation of data security and governance, including GDPR, role-based access, secrets management and the responsible handling of sensitive information., • The ability to take an ambiguous business challenge and turn it into a clear, pragmatic technical solution, balancing immediate needs with longer-term value., • Strong communication and stakeholder skills, with the confidence to make complex technical concepts accessible to non-technical audiences and influence decisions at different levels., • Collaborative leadership style, with a genuine interest in coaching others, sharing knowledge and raising engineering standards across the team., A degree or equivalent experience in computer science, data engineering, software engineering, mathematics, statistics or a related technical discipline would be beneficial. Google Cloud, dbt or other relevant data engineering certifications are also welcomed, although practical experience and demonstrable expertise are just as important to us. Experience within professional services, finance, accounting, legal, tax, audit or another regulated environment would be an advantage, but it isn't essential. Above all, we're looking for someone who brings ownership, sound judgement and a delivery mindset. You'll enjoy solving problems, challenging how things are done and finding better ways of working, while maintaining a strong focus on quality, security and risk. The role may involve occasional travel to other Menzies offices for workshops, discovery sessions, implementation support and team meetings. Menzies is an equal opportunities employer which means that we recruit, employ, train, pay, and promote regardless of race, religion, national origin, gender, sexual orientation, disability or age. We are building a first-class team and, to do so, we know that we need a diverse mix of talented people doing their best work. We have a great opportunity for a Senior Data Engineer to join our team and can be based from any of our Menzies offices. At Menzies, our culture is our cornerstone. We blend technical excellence with genuine care for our people and clients. With over 1100 colleagues in the UK, we've built a culture based on shared values and mutual respect. Here's why you'll love working with us: People First: Our work-life balance isn't just talk. From agile working to generous leave, we create space for what matters to you and this is why we were recognised as one of the Best Places to Work 2024, 2025 and now also 2026 Work with Inspiring Clients: You'll be working with a range of clients so no two days will be the same. Collaborate Across The Firm: Working with various people across the firm to raise the profile of Menzies Academy Innovate with Purpose: We're always looking for better ways to work-leveraging tech, simplifying complexities, and delivering value. Empathy at Our Core: We don't just serve our clients; we build trusted relationships that stand the test of time., At Menzies, we know that success starts with our people. That's why we offer: • Career Development: From learning opportunities to career coaching, we'll help you achieve your goals., • Competitive Benefits: Private medical cover, pension matching, and enhanced parental leave, to name a few., • Flexibility That Works for You: Agile working is embedded in our culture., • Perks That Go Beyond: From volunteering days to wellbeing initiatives, we care about your whole self. #J-18808-Ljbffr

Select how often (in days) to receive an alert: At National Gas, the work we do matters. As Britain's national gas network, we help keep the lights on, businesses running, and homes warm by maintaining the critical infrastructure that transports gas across Great Britain. While providing the energy security Britain relies on today, we're also helping transform the network for a clean energy future. Join us and help secure Britain's energy. We're looking for a Machine Learning Engineer to build, deploy, monitor and maintain advanced analytics, forecasting and machine learning solutions that support the safe and efficient operation of Britain's gas transmission network. You'll take ownership of turning analytical models into robust operational products, ensuring they deliver long‑term value to the business. Data plays a critical role in how National Gas operates and plans for the future. From forecasting network demand and understanding weather impacts to optimising asset performance and operational decisions, you'll help ensure data science solutions are deployed, scalable, maintainable and trusted across the business. This is an opportunity to work on meaningful challenges with direct impact on national infrastructure. You'll collaborate closely with Data Scientists, engineers, operators and technology teams while applying modern machine learning engineering practices in a production environment. • Deploy, monitor and maintain forecasting, optimisation, machine learning and AI solutions in production environments., • Build and manage model monitoring, automated testing, deployment processes and operational support capabilities for machine learning and AI solutions., • Work closely with Data Scientists to productionise analytical models and ensure they remain reliable, scalable, supportable and aligned with operational requirements throughout their lifecycle., • Analyse and prepare large datasets from operational, asset, weather and market sources., • Support the development of forecasting, optimisation and machine learning models where required., • Create dashboards, visualisations and applications that communicate insights to stakeholders., • Work closely with engineers, operators and business teams to embed solutions into day‑to‑day operations., • Measure and demonstrate the value delivered by analytical solutions., • Strong commercial experience as a Machine Learning Engineer, MLOps Engineer, Data Scientist or similar quantitative role., • Experience supporting the development, deployment or operation of forecasting, optimisation or machine learning models within a business environment., • Strong Python programming skills, including experience with libraries such as pandas and scikit‑learn., • Strong experience deploying, monitoring and maintaining machine learning or analytical solutions in production environments, including automated testing, model monitoring and version control., • Experience extracting, manipulating and analysing data using SQL., • Ability to communicate complex technical concepts clearly to both technical and non‑technical stakeholders., • Degree in a quantitative discipline such as Data Science, Mathematics, Engineering, Statistics, Computer Science or a related STEM subject, or equivalent industry experience., • Experience with Azure Machine Learning, Azure DevOps or similar cloud platforms., • Experience working with meteorological or climatological data and models, with the ability to interpret weather and climate drivers, understand data limitations, and apply these insights to forecasting, optimisation and operational decision‑support problems., • Experience within energy, utilities, infrastructure or other asset‑intensive industries., • Postgraduate qualifications, including a Master's or PhD in a quantitative discipline. We're building a workforce that reflects the communities we serve, championing diversity, and creating an inclusive workplace where everyone is valued for their unique contribution. We support reasonable adjustments throughout the recruitment process and beyond. National Gas is a Disability Confident employer and signatory of the Armed Forces Covenant. • Market‑leading double‑match pension (up to 12% company contribution), • Annual performance bonus up to 6%, • Access to the Tusker salary sacrifice car scheme, • 10x salary life assurance and income protection, • Flexible benefits including healthcare, dental, and technology options, • Family‑friendly policies, wellbeing support, and professional development opportunities #J-18808-Ljbffr

This is an opportunity to join the Department of Statistics at Warwick at the Assistant Professor level, in an education-focused role. The Department’s teaching programmes attract exceptional students at all levels. It comprises around 800 undergraduate students on degree courses in MORSE, Mathematics and Statistics and Data Science and 120 postgraduate students on the MSc Statistics, MSc Mathematical Finance and PhD degree streams. The Department has close relations with the co-located Mathematics Institute and Department of Computer Science and with other departments such as Economics and the Warwick Business School and is strongly engaged with the Alan Turing Institute in London. Its research spans a broad range of areas in applied, computational, methodological and theoretical statistics, data science, theoretical and applied probability, finance and interdisciplinary collaboration. We are looking for an excellent academic with the enthusiasm and drive to help deliver the Department’s internationally renowned degree courses (both undergraduate and postgraduate). The successful applicant will have a track record of high-quality university teaching in statistics (to be interpreted broadly to include underpinning mathematics). They will work closely with other departmental academic and administrative staff, contributing directly to the delivery of high-quality education in statistics and probability at Warwick, developing appropriate responses to new challenges and ensuring the continued smooth running of all courses. This post has been created as part of a strategic development to enhance student engagement activities in the Department and the postholder will be expected to play a leading role in developing this element of our education strategy. The Department of Statistics is committed to promoting equality and diversity, holding an Athena SWAN Silver award which demonstrates this commitment. We welcome applicants from all sections of the community and will give due consideration to applicants seeking flexible working patterns, and to those who have taken a career break. Further information about working at the University of Warwick, including information about childcare provision, career development and relocation is at services/humanresources/workinghere/. Informal enquires can be addressed to Professor Jon Forster (), Dr Dario Spano (), Dr Martyn Parker () to any other senior member of the Warwick Statistics Department. #J-18808-Ljbffr

Level Up Your Career!At the company, you’ll join a gaming powerhouse that boasts a mobile empire with 1.5 billion+ downloads alongside a thriving PC & Console division that has achieved numerous global chart-topping releases across Steam, Consoles, and Amazon, driving millions of Wishlists. Most recently publishing breakout hits such as The Precinct and Town to City. It’s a unique chance to bring your expertise to a global studio that dominates both the mobile, and the indie PC and Console space.At the company, as well as a competitive salary we also offer; Private Medical Insurance, Dental Insurance, Life Assurance, Royal London Pension, a Free On-site Gym, Dog-friendly Office, LinkedIn Learning, 25 holiday days + bank holidays, and 1 day extra holiday for each year of service capped at 5. the company’s Growth Analytics team is looking for a Senior Growth Analyst to be the early-warning radar and the money brain of our mobile portfolio. Whenever the data hints at a problem or an opportunity, you’ll help us see it, size it, and act on it fast. You go way beyond reporting. You’re the kind of analyst who says: “Here’s an opportunity, here’s why it’s happening, here are three ways to win it, and I’ll check next week how we did.” This role is based onsite 5 days per week at our Leamington Spa studio, where our daily in-office collaboration fuels creativity and innovation. • Be our early-warning radar. Build smart, automated monitoring across revenue, spend, ROAS, and retention so the right people know what’s changing, quickly., • Build the money models. Create and improve the LTV and ROAS models that guide our UA targets., • Guide where the money goes. Help UA find where the next pound of spend works hardest across games and channels., • Detect, diagnose, recommend. When something moves, find out why, put a number on it, and bring clear options., • Prove what works. Help the whole team measure the real impact of their work, so we learn from every win., • Level up creative testing. Help design how we test and pick winning ads, and the dashboards that track them., • Tell the story. Share clear, simple insights with the team and leadership. Portfolio insight and commercial modelling. You’ll be the first to spot what’s changing across our games, put a number on it, and bring a clear recommendation; you’ll keep our LTV models fresh so every UA decision stands on solid ground. • How early we spot changes, and how useful the alerts are., • Accuracy of LTV forecasts., • Value of the recommendations the team acts on., • How clearly we can see the impact of our work. Essential • Several years of analytics experience in mobile games or another app business with paid acquisition., • Strong SQL and Python (or R); you enjoy building models, not just queries., • Hands‑on experience with LTV prediction, cohort analysis, and ROAS modelling., • A solid grasp of experiment design and statistics., • Commercial instinct: you talk in outcomes and recommend actions., • A clear communicator who makes data easy for everyone., • Experience building automated monitoring or anomaly detection is a big plus., • Familiarity with mobile attribution and ad data., • Generous Holiday: Start with 25 days of annual leave, plus bank holidays. You'll also earn an extra day for every year of service, up to 5 years!, • Flexible Working:We offer core hours that allow you to work flexibly around your life, and a bank of 'Work From Home' days to use when you need them., • Health Cover:Private medical cover, life assurance, a solid pension plan, and cover for dental and optical care., • Recharge: Take advantage of our on-site gym and a supportive atmosphere that prioritises your wellbeing., • Free Food & Drink:Fuel your day with unlimited free snacks and drinks., • Gaming Goodies:Receive Steam codes for all our game releases!, • Dog-Friendly Office:Bring your furry friend to our vibrant, fun office., • Office Location:Leamington Spa office location, with free parking and electric charging stations., • Merch & Events:Get exclusive the company merch, enjoy fun seasonal events, and stay informed with regular town halls., • Growth & Learning:Full access to LinkedIn Learning to support your continuous professional development. At the company, we take pride in being an equal opportunity employer, where we believe that diversity and inclusion are essential to driving creativity. We are committed to creating a safe, welcoming, and supportive environment where everyone can thrive.Our culture is built on celebrating the diverse voices of our team members, fuelling innovation and strengthening our connection to our players. We are dedicated to advancing equity, diversity, and inclusion across all areas of life, including age, disability, gender identity, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, and sexual orientation.We recognise the importance of self-development, career progression, and well‑being in retaining our talented team. At the company, we celebrate individuality and encourage everyone to bring their authentic selves to work. #J-18808-Ljbffr

Believe in People? The best people have one thing in common. They care. Change Grow Live are a charity dedicated to the belief that we can make a difference to our Service Users lives, offering support and respect in a safe environment, treating each user as an individual and working with them to find the right treatment and care options. Our core values are‘Be open, be compassion and be bold’and our team members apply these daily to achieve our mission ofhelping people change the direction of their lives, grow as individuals, and live life to its full potential. An exciting opportunity has arisen to join Change Grow Live in Warwickshire as a Clinical Administrator. The Administrator role is a vital role in our services as you are the first point of contact for our service users. You will be a friendly and efficient communicator with excellent administration skills. You will work well in a fast paced environment and are good at multi-tasking. Duties for the post include responsibility for front house activities, dealing with initial queries, welcoming clients and professionals into the service, signposting within the service and the community, accurate information and data recording and general administrative tasks. The post is primarily based in Leamington Spa, however flexibility to work across operational sites as required and work flexibly within an agreed number of hours to maintain the most appropriate level of service provision. This will include some evening and weekend working. Where: Warwickshire Contract Type: Permanent Hours: Part Time, 30 hours per week(Job share will be considered) Full-time hours at Change Grow Live are 37.5 hours per week. For part-time roles, the salary and payments will be pro rata based on contracted hours. This post-holder will be responsible to the Admin Lead in fulfilling the following duties: Provide effective general and prescription administration across the service. Offer organisational, administrative and clerical services to the team, designed to contribute towards its aims and objectives. Work flexibly across operational sites as required and work flexibly within an agreed number of hours to maintain the most appropriate level of service provision. This will include some evening and weekend working. Be expected to take responsibility for personal development, identifying personal training needs and participate in regular supervision and appraisal. • Assist in building management and to participate in building risk assessments as and when required in line with Health and Safety requirements and fire regulations., • Maintain adequate stationary stocks within the office., • Maintain petty cash systems., • Manage an effective filing system to ensure that all documents are kept in an orderly manner., • Assist in the servicing and maintenance of IT and telecommunication systems and all other office equipment (e.g. fax machine, photo-copier)., • Photocopying as required, collating, laminating and binding of report documents when necessary., • Work closely with the Administration, Clinical and Management Team to ensure that the administration, IT and telecommunication systems operate in an effective and efficient manner., • Develop and nurture sound relationships with both CGL Business Support and external office and equipment suppliers., • Support the Clinical, Management and Administration Team with any additional tasks required by the post., • Ensure effective processing of correspondence/data entry as required., • Collate, monitor and report data/information and statistics as required., • Maintain and assist with the setting up of a prescription filing system within the project., • Monitoring and order controlled stationery/requirements in line with policy., • Carry out photocopying as required., • Ensure that admin, record-keeping and communication within the project are maintained., • Co-ordinate operational requirements of the project base as required, e.g. room bookings etc., • Supervising Administration Volunteers., • Be the Point of Contact for referrals and enquiries and to ensure that all are dealt with promptly and courteously., • Providing advice and information to service users and their family, carers, other agencies and health care professionals., • Cover reception as directed., • Monitor incoming post and deal with any items where appropriate. About you: • Knowledge of general office procedures, • IT literacy including proficiency in word processing, excel spreadsheets and other MS applications, • Good interpersonal skills and a willingness to work flexibly as part of a team, • The ability to respond to appropriate requests for assistance, maintaining confidentiality whenever necessary, • Confident and effective communication skills, both verbally and in writing and solid numeric skills, • Excellent organisational and time management skills, • Able to take responsibility for your own personal development, identifying personal training needs and participating in regular supervision and appraisal, • Be flexible to work across operational sites as required, • Minute taking experience would be an advantage, • Working knowledge of NDTMS and local data inputting and monitoring of procedures and the ability to produce reports. What we will give to you: • 25 days holiday (+ bank holidays) rising by 1 day for each years’ service, • Flexible working arrangements, • Paid ‘Wellness’ hour each week along with a ‘Wellness’ hub and Employee Assist Programme, • Contributory pension scheme, • A great selection of benefits incl. discounts for shopping, cinema, holidays, etc., • A friendly and supportive team, • Training, career development & progression opportunities A note about using AI in your application AI can be a really helpful tool when putting together your application, and we're happy for you to use it. However, what we're most interested in is you. We want to understand your experiences, achievements and strengths, so please make sure your application reflects your own story and clearly shows how you meet the essential criteria and the impact you've made in previous roles. There's no need to write in a particular style. The strongest applications are those that are authentic, specific and clearly demonstrate your skills, experience and potential. We look forward to learning more about you. Please note: This role is not eligible for visa sponsorship. Applicants must already have the right to work in the UK at the time of application. For applicants with time-limited visas, unfortunately, we are unable to support new visa applications or extensions. More information about eligible roles and occupations can be found here:Skilled Worker visa: Overview - GOV.UK We reserve the right to close the vacancy early if we receive a high number of applications, so we encourage you to apply as soon as possible. CGL SPOT (20) (£26,296.03 - £26,296.03) N/A - Outside London Weighting Area 14/10/2026 4/10/2026 Jo Jones | | This post is subject to a Disclosure and Barring Service (DBS) Scheme check at a basic level. #J-18808-Ljbffr

Enthusiastic and excellent academics are sought to be part of the Department of Statistics at Warwick, one of the world’s most prominent and most research active departments of Statistics. We are advertising four posts in total, which reflects the strong commitment of the University of Warwick to invest in Statistics. We intend to fill the following positions: • Assistant or Associate Professor of Statistics (two positions), • Reader of Statistics, • Full Professor of Statistics. All posts are permanent, with posts at the Assistant level subject to probation. You will have expertise in statistics (to be interpreted in the widest sense and to include both applied and methodological statistics, probability, probabilistic operational research and mathematical finance together with interdisciplinary topics involving one or more of these areas) and you will help shape research and teaching leadership in this fast-developing discipline. Applicants for senior positions should have an excellent publication record and ability to secure research funding. Applicants for more junior positions should show exceptional promise to become leading academics. While the posts are open to applicants with expertise in any field of statistics (widely interpreted as above), the Department is particularly interested in strengthening its existing group in Data Science. The Department is heavily involved in the Warwick Data Science Institute and the Alan Turing Institute, the national institute for data science, headquartered in London. If interested, a successful candidate can apply to spend part of their time at the Alan Turing Institute as a Turing Fellow. Informal enquires can be addressed to addressed to Professors Mark Steel (), Gareth Roberts () and David Firth () or to any other senior member of the Warwick Statistics Department. Closing date: 3 January 2018 for the Assistant/Associate level posts and 10 January 2018 for the Full Professor position. Applicants at Assistant/Associate levels should ask their referees to send letters of recommendation by the closing date to the Departmental Administrator, Mrs Paula Matthews (). More details and a link to the application forms: statjobs Further information about the University of Warwick: services/humanresources/jobsintro/furtherparticulars Further information about the Department of Statistics: stats #J-18808-Ljbffr

We are advertising three permanent posts, which reflects the strong commitment of the University of Warwick to invest in Statistics. University of Warwick, UK: Three permanent positions in Statistics.

Department of Statistics, University of Warwick, United Kingdom Enthusiastic and excellent academics are sought to be part of the Department of Statistics at Warwick, one of the world’s most prominent and most research active departments of Statistics. We are advertising six posts in total, which reflects the strong commitment of the University of Warwick to invest in Statistics. We intend to fill the following positions: • Assistant Professorship (2 posts, permanent, closing date 2 January 2019),, • Harrison-early-career assistant professorship (1 post, 3 years, closing date 2 January 2019),, • Associate Professorship (2 posts, permanent, closing date 31 January 2019),, • Principal Teaching Fellow (1 post, permanent, closing date 28 February). You will have expertise in statistics (to be interpreted in the widest sense and to include both applied and methodological statistics, probability, probabilistic operational research and mathematical finance together with interdisciplinary topics involving one or more of these areas) and you will help shape research and teaching leadership in this fast-developing discipline. Informal enquires can be addressed to any of Professors Barbel Finkenstadt (), David Hobson (), Gareth Roberts () or to any other senior member of the Department. Applicants are encouraged to ask their referees to send letters of recommendation by the closing date to the Departmental Administrator, Mrs Paula Matthews (). More details and a link to the application form: statjobs Further information about the Department of Statistics: stats Further information about the University of Warwick: services/humanresources/jobsintro/furtherparticulars #J-18808-Ljbffr

The University of Warwick seeks enthusiastic academics for six roles in its Statistics Department, reflecting a commitment to advancing this field. Positions include Assistant and Associate Professorships among others, focusing on developing research and teaching leadership in statistics. The candidates should possess relevant expertise and contribute to the department's growth in various academic capacities. #J-18808-Ljbffr

You will work with engineering, manufacturing and digital teams to apply analytics, statistics and ML to engineering challenges.

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FindTutors is looking for passionate Probability and Statistics tutors to join our growing online teaching community.

FindTutors is looking for passionate Statistics tutors to join our growing online teaching community.

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