225 Integer Jobs - Page 7

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: General Summary Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. We are hiring talented engineers for CPU RTL development targeted for high performance, low power devices. As a CPU Micro-architecture and RTL Design Engineer, you will work with chip architects to conceive of the micro-architecture, and also help with architecture/product definition through early involvement in the product life-cycle. Roles And Responsibilities Performance exploration. Explore high performance strategies working with the CPU modeling team. Microarchitecture development and specification. From early high-level architectural exploration, through micro architectural research and arriving at a detailed specification. RTL ownership. Development, assessment and refinement of RTL design to target power, performance, area and timing goals. Functional verification support. Help the design verification team execute on the functional verification strategy. Performance verification support. Help verify that the RTL design meets the performance goals. Design delivery. Work with multi-functional engineering team to implement and validate physical design on the aspects of timing, area, reliability, testability and po Preferred Qualifications Thorough knowledge of microprocessor architecture including expertise in one or more of the following areas: instruction fetch and decode, branch prediction, instruction scheduling and register renaming, out-of-order execution, integer and floating point execution, load/store execution, prefetching, cache and memory subsystems Knowledge of Verilog and/or VHDL. Experience with simulators and waveform debugging tools Knowledge of logic design principles along with timing and power implications Understanding of low power microarchitecture techniques Understanding of high performance techniques and trade-offs in a CPU microarchitecture Experience using a scripting language such as Perl or Python Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 8+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 7+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience. Preferred Qualifications: Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. 15+ years of Hardware Engineering or related work experience. 4+ years of experience with circuit/logic design/validation (e.g., digital, analog, RF). 4+ years of experience utilizing schematic capture and circuit stimulation software. 4+ years of experience with hardware design and measurement instruments such as oscilloscopes, spectrum analyzers, RF tools, etc. 4+ years in a technical leadership role with or without direct reports. Principal Duties And Responsibilities: Leverages expert Hardware knowledge and experience to plan, optimize, verify, and test highly critical electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems. Drives the development of design rules and processes for electronic hardware, equipment, and/or integrated circuitry. Serves as an expert resource for conducting highly complex simulations and analyses of designs as well as for the implementation of designs with the best power, performance, and area. Collaborates with high-level representatives across functions (e.g., design, verification, validation, software and systems engineering, architecture development teams, etc.) to implement and drive new requirements and the latest test solutions in the production program to improve the yield, test time, and quality. Evaluates, characterizes, and develops the novel manufacturing solutions for leading edge products in highly advanced processes and bring-up product to meet customer expectations and schedules. Serves as an expert resource for the evaluation of reliability for highly critical materials, properties, and techniques and brings innovation, automation, and optimization to maximize productivity. Advises multiple teams of engineers in the development of complex hardware designs, evaluating various design features to identify potential flaws or issues. Writes detailed technical documentation for highly complex Hardware projects; reviews technical documentation for experienced engineers. Level Of Responsibility: Provides supervision to direct reports. Decision-making is critical in nature and highly impacts program, product, or project success. Requires verbal and written communication skills to convey highly complex and/or detailed information. May require strong negotiation and influence with large groups or high-level constituents. Works within the prescribed budgetary objectives of the department. Has a great degree of influence over key organizational decisions. Tasks often require multiple steps which can be performed in various orders; extensive planning, problem-solving, and prioritization must occur to complete the tasks effectively. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3069277

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: Senior AI Engineer (Tech Lead) Role Overview: We are seeking a highly skilled and experienced Senior AI Engineers with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Leading a team of 4-6 developers Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 4 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence Experience in leading a team of 4-6 developers Demonstrated ability to conceptualize technical solutions, apply accurate estimation techniques, and effectively engage with customer stakeholders In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with RESTful API design and development. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Understanding of agentic AI concepts and frameworks Proficiency in designing or interacting with agent-based AI architectures Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: Senior AI Engineer (Tech Lead) Role Overview: We are seeking a highly skilled and experienced Senior AI Engineers with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Leading a team of 4-6 developers Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 4 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence Experience in leading a team of 4-6 developers Demonstrated ability to conceptualize technical solutions, apply accurate estimation techniques, and effectively engage with customer stakeholders In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with RESTful API design and development. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Understanding of agentic AI concepts and frameworks Proficiency in designing or interacting with agent-based AI architectures Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Technology Expert, PCIe 7.0 & UCIe ( Senior Director level ) www.omnidesigntech.com Location: Bengaluru www.omnidesigntech.com Location- Bangalore About Omni Design Technologies Omni Design Technologies is a leading provider of high-performance, ultra-low power IP cores, from 28nm down through advanced FinFET nodes, which enable differentiated system-on-chip (SoC), in applications ranging from 5G, wireline and optical communications, LiDAR, radar, automotive networking, AI, image sensors, and the internet-of-things (IoT). Our data converter (ADC and DAC) IP cores range from 6-bit to 14-bit resolution and from a few MSPS to more than 100 GSPS sampling rates. Omni Design, founded in 2015 by semiconductor industry veterans, has an excellent track record of innovation and collaboration with customers to enable their success. The company is headquartered in Milpitas, California with additional design centers in Fort Collins-Colorado, Bangalore-India, Hyderabad-India, Dublin-Ireland, Boston-Massachusetts. Job Summary: Principal SerDes Technology Expert We are seeking a highly motivated and experienced Principal SerDes Technology Expert to lead the development of next-generation connectivity solutions. Your journey will begin by spearheading the design and optimization of high-performance Active Electrical Cables (AECs), enhancing electrical integrity and signal quality across demanding link budgets. Building on this foundation, you will architect and implement SerDes technology tailored for PCIe 7.0, tackling challenges such as lane equalization, jitter tolerance, and power efficiency. Finally, your work will expand into integrating cutting-edge optical interconnects and optocouplers, driving innovations in retimer technologies and hybrid signaling frameworks. This role directly impacts the performance and reliability of AI and cloud infrastructure—empowering massive data throughput, energy-efficient links, and scalable system architectures. Responsibilities: Lead the architecture and design of high-speed SerDes for PCIe 7.0, targeting data rates of 128 GT/s and beyond. Spearhead the development and integration of advanced optical interconnects and retimer solutions within our Smart Cable Modules™. Define and specify the requirements for mixed-signal SerDes PHYs, including transmitter (TX), receiver (RX), and clock and data recovery (CDR) circuits. Conduct in-depth analysis and simulation of high-speed channel performance, including signal integrity (SI) and power integrity (PI). Collaborate with cross-functional teams, including hardware design, firmware, and system validation, to ensure successful product development and bring-up. Stay at the forefront of industry standards and emerging technologies, particularly related to PCIe, CXL, and high-speed optical interconnects. Mentor junior engineers and provide technical leadership across the organization. Work closely with partners and vendors to evaluate and select key components. Qualifications: Required Qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field. 20-25 years years of experience in high-speed SerDes design and development. Proven expertise in PCIe protocols, with direct experience in PCIe 4.0/5.0/6.0 design and a strong understanding of the upcoming PCIe 7.0 specification. In-depth knowledge of mixed-signal design, including experience with PAM4 signaling, equalization techniques (e.g., FFE, DFE), and clocking architectures. Hands-on experience with high-speed test and measurement equipment (e.g., oscilloscopes, BERTs, VNAs). Strong understanding of signal integrity principles and experience with simulation tools (e.g., HSPICE, ADS, Ansys). Preferred Qualifications: Master's or Ph.D. in a relevant technical field. Experience with the design and integration of optical interconnects, silicon photonics, or high-speed optoelectronics. Familiarity with the design of retimers and their application in Active Electrical Cables. Experience with high-level modeling of SerDes links using tools like MATLAB or Python. Knowledge of other high-speed protocols such as Ethernet, CXL, or NVLink. A track record of leading complex projects from concept to production. Excellent communication and interpersonal skills. We are seeking a highly skilled and experienced IP Design Engineer to join our team, focusing on the design, development, and validation of cutting-edge high-speed interface Intellectual Property (IP). The ideal candidate will have a strong background in complex digital and mixed-signal design, with a particular emphasis on interfaces such as UCIe, Die-to-Die (D2D), and various memory PHYs (DDR/LPDDR). Expertise in advanced clocking architectures including PLLs and DLLs is also essential. This role involves contributing to the full IP development lifecycle, from architectural definition and RTL design to silicon validation and post-silicon support, ensuring first- pass silicon success for critical products that enable next-generation data center interconnects. Key Responsibilities: • Design & Development: Architect, design, and implement high-speed interface IPs, including UCIe, D2D, DDR, and LPDDR PHYs. Contribute to the development of high-speed SerDes IP transceivers supporting rates like 100G PAM4 (106.25 Gbps), 50G PAM4 (53.125 Gbps), and 25G NRZ (26.5625 Gbps) for applications such as PCIe, Ethernet, and data center interconnects. • Clocking Design: Develop and optimize PLL (Phase-Locked Loop) and DLL (Delay- Locked Loop) circuits for high-speed clock generation and synchronization, ensuring low jitter and high accuracy. This includes experience with Fractional/Spread-spectrum/Integer Frequency synthesizers, LC VCOs, Multi- Modulus Dividers, Charge Pumps, LPFs, LDO regulators, and BGRs. • IP Development Lifecycle: Participate in the complete IP design flow, including architectural definition, specification development, RTL coding, synthesis, static timing analysis (STA), and collaborating on physical design activities (GDSII). 1 • Verification & Validation: Work closely with verification teams to define test plans, debug complex design issues, and lead pre-silicon and post-silicon validation efforts, including silicon bring-up and characterization .2 Implement features for deep in-cable diagnostics (e.g., eye metric readout, PRBS bit error rate, loopback modes), fleet management, and security for robust interconnect solutions. • Analog/Mixed-Signal Integration: Collaborate on the integration of analog and mixed-signal blocks within the PHYs, addressing complex integration challenges and optimizing for performance, power, and area (PPA). • Documentation: Create comprehensive design specifications, integration guidelines, and application notes for IP blocks.• Problem Solving: Debug and resolve complex design issues at various stages of the development cycle, including silicon debugging and fault isolation. • Standards Compliance: Ensure IP designs comply with industry standards (e.g., JEDEC for DDR/LPDDR, QSFP-DD/OSFP mechanical and common management interface specifications) and customer requirements. • Performance Optimization: Focus on achieving low-latency data paths (< 100 ns) and optimizing for lower power consumption in high-speed interconnect solutions. Required Qualifications: • Bachelor's or Master's degree in Electrical Engineering, Electronics Engineering, or a related field.3 • 20-25 years of experience in digital, mixed-signal, or analog IP design within the semiconductor industry. (Adjust X based on Senior/Principal level). • Proven experience with high-speed interface designs such as UCIe, D2D, DDR PHY, or LPDDR PHY. • Demonstrated experience in the design and optimization of PLLs and/or DLLs, including various types of frequency synthesizers and clock generation circuits. • Familiarity with the entire IP development flow from architectural concept to silicon validation. • Strong understanding of signal integrity, power integrity, and layout considerations for high-speed designs, especially for PAM4 and NRZ signaling over copper cables. • Proficiency with industry-standard EDA tools for design, simulation, and analysis. • Experience with deep diagnostic features, security implementations (firmware security, unauthorized access prevention), and non-disruptive firmware updates for high-speed modules. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills to work effectively with cross- functional teams. Contact: Uday Mulya Technologies muday_bhaskar@yahoo.com "Mining The Knowledge Community"

Patiënt Bezoeker Professional Zorgaanbod Campussen Het Jan Yperman Ziekenhuis is met meer dan 1400 medewerkers, 140 artsen en 532 bedden modern, jong en dynamisch. Een ziekenhuis waar de patiënt in het streven naar de beste zorg centraal staat en zeer veel aandacht aan kwalitatief hoogstaande geneeskunde wordt besteed. Als vernieuwend ziekenhuis investeren we in een stimulerende werkomgeving en teamwerk. We reiken volop kansen aan voor persoonlijke en professionele groei, met de focus op continue ontwikkeling en opleiding. Samen sterk voor geriatrische topzorg Met jouw deskundigheid en toewijding leveren we elke dag opnieuw kwaliteitsvolle zorg aan een van de meest complexe patiëntengroepen. Onze patiënten hebben vaak zowel acute als chronische zorgbehoeften. Van pneumonie tot heupfractuur, van verwardheid tot cognitief goede patiënten. Als verpleegkundige ben je een onmisbare schakel. Je brengt patiënten samen met je team volledig in kaart en zet voortdurend verpleegkundige interventies in. Met jouw klinische blik ben je, samen met andere disciplines, de ogen en oren van de artsen. Je treedt op als vertegenwoordiger van de patiënt wanneer die dit zelf niet meer kan en begeleidt hen in het behouden van hun zelfstandigheid. Ook de mantelzorger betrek je actief bij de zorg. Wat de zorg voor geriatrische patiënten zo uniek maakt? We kijken niet alleen naar het medische probleem, maar ook naar de volledige context errond. Vaak zijn fysieke, psychische, functionele en sociale problemen met elkaar verweven. Dat vraagt inzicht, overleg en een sterk klinisch redeneervermogen. De afdeling telt 28 bedden. Je komt terecht in een geëngageerd team van 19 verpleeg- en zorgkundigen en een geriater. Ondersteund door logistiek assistenten, de dienst Patiëntenbegeleiding en paramedici. Samen zetten we alles op alles om onze visie om te zetten in warme, doeltreffende zorg. Voel jij je aangesproken om mee het verschil te maken? Dan kijken we ernaar uit om samen te werken! Functie-inhoud Als verpleegkundige op Acute Geriatrie 0 (G0) verleen je integrale zorg (verpleegkundig en psychosociaal) vanuit de individuele noden en vragen van de patiënten – meer specifiek, de kwetsbare oudere en zijn omgeving – om hun gezondheid en welzijn te behouden, te verbeteren of te herstellen en hun autonomie te bevorderen. Jouw Takenpakket Omvat Uitvoeren van verpleegtechnische handelingen volgens of zonder medisch voorschrift, evenals medische handelingen toevertrouwd door een arts. Observeren, identificeren en vaststellen van de gezondheidstoestand van de toegewezen patiënten: je detecteert eventuele veranderingen, anticipeert op crisissituaties en neemt in noodgevallen de nodige maatregelen op eigen initiatief, in afwachting van de arts. Toezicht houden op en evalueren van de parameters en, volgens voorschriften van de arts, de medische apparatuur aanpassen op basis van de evoluties. Voorbereiden, volgens het medisch voorschrift, van de medicatie, ze verifiëren, toedienen en de effecten ervan opvolgen. Assisteren van de arts bij bepaalde specifieke technische handelingen. Uitvoeren van verzorgende taken: je helpt – waar nodig – de patiënten bij de dagelijkse verzorging en –hygiëne, bewaakt het algemeen comfort, voert volgens interne procedures de lijkverzorging uit bij overlijden van de patiënt. Mee zorgdragen over de continuïteit en kwaliteit van de zorgverlening: je geeft de nodige informatie over de patiënten aan de collega’s door om de continuïteit van de verzorging te verzekeren, informeert de behandelende arts over hun gezondheidstoestand bij vermindering van de vitale functies. Informeren en ondersteunen van de patiënten en hun naasten: je verzorgt het onthaal van de nieuwe patiënten, voert een verpleegkundige anamnese uit en noteert de gegevens, geeft uitleg omtrent hun gezondheidstoestand en behandeling en stelt hen gerust, stimuleert de zelfredzaamheid en bereidt hen voor op het ontslag, begeleidt en ondersteunt hen in moeilijke emotionele momenten (zoals hevige pijn, stervensbegeleiding), onthaalt de naasten in het geval van overlijden van de patiënt en begeleidt hen op moreel vlak. Uitvoeren van administratieve patiëntgebonden taken: je registreert de gegevens en verstrekte verpleegkundige zorgen (bv. de VG-MZG), vult diverse formulieren en documenten in (bv. i.v.m. opname en ontslag, medische onderzoeken), rapporteert, zowel mondeling als schriftelijk, over de gezondheidstoestand, houdt het verpleegkundig dossier actueel. Waken over de correcte werking van technische apparatuur eigen aan de afdeling. Functieprofiel Je bent bachelor of gegradueerde in de Verpleegkunde. Je hebt praktische kennis van medische materialen en combineert je gedegen algemene beroepskennis met affiniteit voor geriatrische patiënten. Je kan met de specifieke informaticatoepassingen werken. Kennis van KWS is een meerwaarde of bent hierin een vlotte leerling. Je bent open, respectvol en integer en klantvriendelijkheid zit in je DNA. Je kan georganiseerd en accuraat handelen en daarbij je zaken terdege afwerken. Je fungeert als voorbeeld voor kwaliteitsgerichtheid en professionaliteit. Je zoekt actief naar mogelijkheden voor het vergroten van de eigen deskundigheid en verdere professionele en persoonlijke ontwikkeling. Wij bieden je Een contract van onbepaalde duur. Of opname in de werfreserve. Een halftijdse betrekking van 19 uur per week. Nachtdienst in een vast regime met shiften van 21u tot 07u. Weekendregeling op basis van de samenstelling van het team. Met als uitgangspunt: 1 weekend op 2 werken voor deel- en voltijdsen, 1 weekend op 4 voor halftijdsen. Verloning volgens IFIC 14 of 14b (code 6185). Verlofregeling: 11 nachten voor een voltijdse tewerkstelling (pro rata jobtime). On-the-job inwerking. Tal van voordelen zoals fietsleasing, gratis griepvaccin, hospitalisatieverzekering, kortingen via Benefits@work, Bringme box en een betaalbaar personeelsrestaurant. Tussenkomst woon-werkverkeer (o.a. fietsvergoeding). Kinderopvang in de vakantieperiodes. Jobtype Bediende Contracttype Onbepaalde duur Werkregime Halftijds Solliciteren kan tot 10/08/2025 Meer Info Via Chris Catry, verpleegkundige-diensthoofd: 057 35 70 42. Veel succes! Solliciteer hier online Jan Yperman Ziekenhuis Briekestraat 12 8900 Ieper 057 35 35 35 info@yperman.net Ondernemingsnummer: BE 0462.915.078 Rechtspersonenregister (RPR) Gent, afdeling Ieper Alle campussen

Patiënt Bezoeker Professional Zorgaanbod Campussen Het Jan Yperman Ziekenhuis is met meer dan 1400 medewerkers, 140 artsen en 532 bedden modern, jong en dynamisch. Een ziekenhuis waar de patiënt in het streven naar de beste zorg centraal staat en zeer veel aandacht aan kwalitatief hoogstaande geneeskunde wordt besteed. Als vernieuwend ziekenhuis investeren we in een stimulerende werkomgeving en teamwerk. We reiken volop kansen aan voor persoonlijke en professionele groei, met de focus op continue ontwikkeling en opleiding. Een gemiddelde werkdag op de afdeling Neurologie in het Jan Yperman Ziekenhuis? Die bestaat niet. Van spoedopnames op de Stroke Unit tot geplande zorg in het Slaaplabo: elke dag ziet is anders. Net die afwisseling maakt het werk boeiend. In deze rol combineer je vaktechnische expertise met aandacht voor de psychosociale zorg van je patiënten. Een mooie uitdaging met veel betekenis. Op de afdeling Neurologie ben jij als verpleegkundige een onmisbare schakel in de zorg voor patiënten met (complexe) neurologische aandoeningen. Je bewaakt hun vitale functies en voert gerichte neurologische controles uit. Dat doe je niet alleen met behulp van de monitor, maar vooral met jouw scherpe klinische blik. Je herkent tijdig afwijkingen, onderneemt zelfstandig de eerste noodzakelijke stappen en denkt mee met de artsen. Daarbij werk je nauw samen met collega’s van andere disciplines, zoals ergotherapeuten, kinesitherapeuten en de Spoedafdeling. Met jouw inlevingsvermogen en positieve houding weet je patiënten én hun naasten gerust te stellen. Je begeleidt hen ook bij psychosociale zorgen en in het nazorgtraject. Zo bied je niet alleen medische, wel ook plaatsvervangende en menselijke zorg van hoge kwaliteit. De afdeling Neurologie telt 27 bedden, waarvan 4 voor Stroke Unit, 4 voor slaaponderzoek en 3 posities voor dagziekenhuispatiënten. Op de Stroke Unit verblijven patiënten die onder andere door een beroerte zijn getroffen. De eerste 24 tot 48 uur worden ze gemonitord. Vervolgens gaan de patiënten door naar een gewone kamer op de afdeling om te revalideren. Wij zijn een gevarieerd en hecht team van 5 artsen en 23 verpleeg- en zorgkundigen. De sfeer op de afdeling is informeel en de samenwerking – ook met artsen en andere disciplines – is enorm goed. Innovatie en ontwikkeling staan bij ons voorop. We durven elkaar dan ook aan te spreken en nemen vaak als eerste aan verschillende pilootprojecten in het ziekenhuis deel. Functie-inhoud Als verpleegkundige Neurologie of afdeling D5 verleen je integrale zorg (verpleegkundig en psychosociaal) aan een toegewezen groep patiënten om hun gezondheid en welzijn te behouden, te verbeteren of te herstellen en hun autonomie te bevorderen. Jouw Takenpakket Omvat Uitvoeren van verpleegtechnische handelingen volgens of zonder medisch voorschrift, evenals medische handelingen toevertrouwd door een arts. Observeren, identificeren en vaststellen van de gezondheidstoestand van de toegewezen patiënten: je detecteert eventuele veranderingen, anticipeert op crisissituaties en neemt in noodgevallen de nodige maatregelen op eigen initiatief, in afwachting van de arts. Toezicht houden op en evalueren van de parameters en, volgens voorschriften van de arts, de medische apparatuur aanpassen op basis van de evoluties. Voorbereiden, volgens het medisch voorschrift, van de medicatie, ze verifiëren, toedienen en de effecten ervan opvolgen. Assisteren van de arts bij bepaalde specifieke technische handelingen. Uitvoeren van verzorgende taken: je helpt – waar nodig – de patiënten bij de dagelijkse verzorging en –hygiëne, voert volgens interne procedures de lijkverzorging uit bij overlijden van de patiënt. Mee zorgdragen over de continuïteit en kwaliteit van de zorgverlening: je geeft de nodige informatie over de patiënten aan de collega’s door om de continuïteit van de verzorging te verzekeren, informeert de behandelende arts over hun gezondheidstoestand bij vermindering van de vitale functies.. Informeren en ondersteunen van de patiënten en hun naasten: je verzorgt het onthaal van de nieuwe patiënten, voert een verpleegkundige anamnese uit en noteert de gegevens, geeft uitleg omtrent hun gezondheidstoestand en behandeling en stelt hen gerust, stimuleert de zelfredzaamheid en bereidt hen voor op het ontslag, begeleidt en ondersteunt hen in moeilijke emotionele momenten (zoals hevige pijn, stervensbegeleiding), onthaalt de naasten in het geval van overlijden van de patiënt en begeleidt hen op moreel vlak. Uitvoeren van administratieve patiëntgebonden taken: je registreert de gegevens en verstrekte verpleegkundige zorgen (bv. de VG-MZG), vult diverse formulieren en documenten in (bv. i.v.m. opname en ontslag, medische onderzoeken), rapporteert, zowel mondeling als schriftelijk, over de gezondheidstoestand, houdt het verpleegkundig dossier actueel. Waken over de correcte werking van technische apparatuur eigen aan de afdeling. Functieprofiel Je bent bachelor of gegradueerde in de Verpleegkunde. Je hebt praktische kennis van medische materialen en combineert je gedegen algemene beroepskennis met affiniteit voor neurologiepatiënten. Je kan met de specifieke informaticatoepassingen werken. Kennis van KWS is een meerwaarde of bent hierin een vlotte leerling. Je bent open, respectvol en integer en klantvriendelijkheid zit in je DNA. Je kan georganiseerd en accuraat handelen en daarbij je zaken terdege afwerken. Je fungeert als voorbeeld voor kwaliteitsgerichtheid en professionaliteit. Je zoekt actief naar mogelijkheden voor het vergroten van de eigen deskundigheid en verdere professionele en persoonlijke ontwikkeling. Wij bieden je Een contract van onbepaalde duur. Of opname in de werfreserve. Een halftijdse betrekking van 19 uur per week. Nachtdienst in een vast regime met shiften van 21u tot 07u. Weekendregeling op basis van de samenstelling van het team. Met als uitgangspunt: 1 weekend op 2 werken voor deel- en voltijdsen, 1 weekend op 4 voor halftijdsen. Verloning volgens IFIC 14 of 14b (code 6170). Verlofregeling: 11 nachten voor een voltijdse tewerkstelling (pro rata jobtime). On-the-job inwerking. Tal van voordelen zoals fietsleasing, gratis griepvaccin, hospitalisatieverzekering, kortingen via Benefits@work, Bringme box en een betaalbaar personeelsrestaurant. Tussenkomst woon-werkverkeer (o.a. fietsvergoeding). Kinderopvang in de vakantieperiodes. Jobtype Bediende Contracttype Onbepaalde duur Werkregime Halftijds Solliciteren kan tot 10/08/2025 Meer Info Via Chris Catry, verpleegkundige-diensthoofd: 057 35 70 42. Veel succes! Solliciteer hier online Jan Yperman Ziekenhuis Briekestraat 12 8900 Ieper 057 35 35 35 info@yperman.net Ondernemingsnummer: BE 0462.915.078 Rechtspersonenregister (RPR) Gent, afdeling Ieper Alle campussen

India Foods Business is a full-service manufacturing and marketing unit comprising over 500 employees spread across over multiple locations across India. Our strong suite of products includes the Pillsbury, Betty Crocker, Haagen-Dazs and Nature Valley brands in both direct-to-consumer and B2B channels across Retail, Food Service and Bakeries & Exports. We combine the capabilities of a global enterprise with the entrepreneurial spirit and cultural awareness you would expect of a smaller local company. Position Title Sr. Analyst – SC Adv Analytics, OU Function/Group Logistics Location Mumbai Shift Timing 1:30 PM to 10:30 PM Role Reports to Assistant Manager Remote/Hybrid/in-Office Hybrid About General Mills We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we’ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell. How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people. With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out https://www.generalmills.co.in We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow. Job Overview Function Overview The GIC Supply Chain team manages end-to-end operations, encompassing planning, sourcing, manufacturing, logistics, and analytics. They strategically plan to meet market demands, optimize sourcing, ensure efficient production, and oversee the seamless movement of goods from production to delivery. The team employs advanced analytics throughout these processes, fostering adaptability and operational excellence. This collaborative approach ensures a well-coordinated supply chain that aligns with both organizational goals and dynamic market conditions. Link Purpose of the role Supply chain analytics group is responsible for delivering the solutions and developing the capabilities which enables better decision-making in supply chain. This team works closely with all supply chain functions (i.e., plan, source, make, deliver and customer service teams), business units and other cross functional partners for developing solutions to drive business value. This team also drives step-change innovation and improvements in business practices by delivering actionable insights through advanced analytics and supply chain expertise. The role involves building, maintaining, and executing optimization and simulation models to help identify, analyze, and implement opportunities in the areas of manufacturing network design and optimization, supply network planning and realignment by incorporating supply chain costs, manufacturing complexity, inventory optimization and capacity. The Sr Analyst supports the Supply Planning teams in identifying opportunities for manufacturing & distribution network and provides least cost sourcing and distribution options. Works on strategic projects and new capability development and enhancement initiatives. Key Accountabilities 15% - Requirement Gathering & Data Collection: Understand Project charter- Business context, Scope, Outcome & success criteria. Collaborate with the Global & India Supply Chain partners to gather the required information and conduct the data validations & analysis. Proactively analyze the current set of the data based on facts and root cause analysis. Perform data massaging – Outlier detection and handle missing data etc. and share key findings with the team lead. 40% Model building & Scenario Evaluation Solve business problems in the areas of Supply Chain by developing different modeling approaches/techniques using Descriptive/Prescriptive/Predictive analytics and recommend the best approach. Develop a detailed solution design/architecture or re-engineer an existing solution design. Build/Refresh the models periodically and provide recommendations to business teams. Run & analyze what-if scenarios by leveraging advanced tools and provide insights to the business team. 20% Model result analysis & presentation Detailed and quantitative analysis of the model output and clearly articulate findings and recommendations Synthesize large data sets/model results into usable insights and business recommendations Build presentation and communicate the results effectively with the broad audience of clients/stakeholders/cross-functional teams. Provides analytics support during the implementation and transition phase. 15% Other Responsibilities: Improving Participate in brainstorming sessions on new capabilities development/ideation sessions Work on enhancements in current capabilities/process improvements Support new technologies by participating in testing sessions & training sessions Sustaining Develop and design governance framework Ensure strong and clear process/training/project documentation and controls are in force Creating assumption documents for client meetings/methodology documents Participating in weekly directional meetings, team meetings & townhalls 10% Self-Development: Upskilling through internal & external training/courses, in behavioral, functional, analytical & technology areas Participating in innovation challenges, Hackathon competitions, Knowledge sharing sessions Participating in training sessions at the team/departmental level Participating in internal case studies to acquire business acumen Specific Job Experience Or Skills Needed End to End Supply Chain Knowledge Critical thinking with strong analytical and problem-solving skills Ability to formulate mathematical model & techniques Either of Technical know- how of optimization – Linear/Integer/MILP programming Technical know- how of Statistics – Distributions/ Hypothesis Testing/ Measures of Central tendency/ Regression/ Risk Analysis Technical know- how of prediction – Machine learning, various types of regression, classification and clustering techniques, time series, tree- based prediction models Technical know-how of Simulation – Discrete event simulation/Monte Carlo Understand business problems and convert into analytical problem statements Experience with model building in either of these tools Coupa Supply Chain Guru, R/Python, VBA/Macros, SQL, Solvers like CPLEX/Gurobi, etc., Simulation tools like @risk, MATLAB, etc., Machine Learning techniques/models Effective & Strong Communication Skills Storytelling with effective presentation Stakeholder Management Innovative Mindset & Learning Mindset Nice to have experience in front end application development - Rest APIs, Dash, R shiny. Competencies/Behaviors Required For Job Deliver outstanding results – Agile and self-driven individual to learn/adapt the analytics ways of working. Highly accountable to complete deliverable in a timely and effective manner. Proactive communication about any roadblock and recommend ideas and input to help team achieve greater result. Interpersonal Effectiveness – Relates well with stakeholders, colleagues & team members. Maintains a positive, supportive & appreciative attitude. Actively listens to others & demonstrates an understanding of their point of view. Clearly articulates views in written & verbal discussions. Problem Solving / Analytical skills – Ability to collect and analyze data quickly and efficiently. Can identify issues and provide ideas/solutions for resolution. Leads Innovation – Ability and confidence to identify and recommend creative solutions. Identifies both opportunities and needs for change. Adapts quickly and responds effectively to change. Identifies issues or problems and provides a respective solution. Explores and shares innovative best practices with others. Minimum Qualifications Minimum Degree Requirements: Bachelors Preferred Degree Requirements: Masters (M. Tech/MBA/MSC) Preferred Major Area of Study: Supply Chain / Operations Research / Industrial Engineering / Statistics / Mathematics / Mechanical Engineering / Computer Engineering / Electronics Engineering / Instrumentation Engineering/ Production Engineering Required Professional Certifications Preferred Professional Certifications: APICS, CSCP, CPIM Analytics, Six Sigma, SC Macro Masters or similar accreditation Preferred Institutes : IITs/NITs/ Tier 1 or 2 MBA Colleges/reputed University Preferred Qualifications Master’s degree 3 years of related experience Major Area of Study in Industrial Engineering or Supply Chain Professional Certifications: CSCMP, APICS Company Overview We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.

Patiënt Bezoeker Professional Zorgaanbod Campussen Het Jan Yperman Ziekenhuis is met meer dan 1400 medewerkers, 140 artsen en 532 bedden modern, jong en dynamisch. Een ziekenhuis waar de patiënt in het streven naar de beste zorg centraal staat en zeer veel aandacht aan kwalitatief hoogstaande geneeskunde wordt besteed. Als vernieuwend ziekenhuis investeren we in een stimulerende werkomgeving en teamwerk. We reiken volop kansen aan voor persoonlijke en professionele groei, met de focus op continue ontwikkeling en opleiding. Een gemiddelde werkdag op de afdeling Neurologie in het Jan Yperman Ziekenhuis? Die bestaat niet. Van spoedopnames op de Stroke Unit tot geplande zorg in het Slaaplabo: elke dag is anders. Net die afwisseling maakt het werk boeiend. In deze rol combineer je vaktechnische expertise met aandacht voor de psychosociale zorg van je patiënten. Een mooie uitdaging met veel betekenis. Op de afdeling Neurologie ben jij als verpleegkundige een onmisbare schakel in de zorg voor patiënten met (complexe) neurologische aandoeningen. Je bewaakt hun vitale functies en voert gerichte neurologische controles uit. Dat doe je niet alleen met behulp van de monitor, maar vooral met jouw scherpe klinische blik. Je herkent tijdig afwijkingen, onderneemt zelfstandig de eerste noodzakelijke stappen en denkt mee met de artsen. Daarbij werk je nauw samen met collega’s van andere disciplines, zoals ergotherapeuten, kinesitherapeuten en de Spoedafdeling. Met jouw inlevingsvermogen en positieve houding weet je patiënten én hun naasten gerust te stellen. Je begeleidt hen ook bij psychosociale zorgen en in het nazorgtraject. Zo bied je niet alleen medische, wel ook plaatsvervangende en menselijke zorg van hoge kwaliteit. De afdeling Neurologie telt 27 bedden, waarvan 4 voor de Stroke Unit, 4 bedden voor slaaponderzoek en 3 posities voor dagziekenhuispatiënten. Op de Stroke Unit verblijven patiënten die onder andere door een beroerte zijn getroffen. De eerste 24 tot 48 uur worden ze gemonitord. Vervolgens gaan de patiënten door naar de gewone kamer op de afdeling om te revalideren. Wij zijn een gevarieerd en hecht team van 5 artsen en 23 verpleeg- en zorgkundigen. De sfeer op de afdeling is informeel en de samenwerking – ook met artsen en andere disciplines – is enorm goed. Innovatie en ontwikkeling staan bij ons voorop. We durven elkaar dan ook aan te spreken en nemen vaak als eerste aan verschillende pilootprojecten in het ziekenhuis deel. Functie-inhoud Als verpleegkundige Neurologie of afdeling D5 verleen je integrale zorg (verpleegkundig en psychosociaal) aan een toegewezen groep patiënten om hun gezondheid en welzijn te behouden, te verbeteren of te herstellen en hun autonomie te bevorderen. Jouw Takenpakket Omvat Uitvoeren van verpleegtechnische handelingen volgens of zonder medisch voorschrift, evenals medische handelingen toevertrouwd door een arts. Observeren, identificeren en vaststellen van de gezondheidstoestand van de toegewezen patiënten: je detecteert eventuele veranderingen, anticipeert op crisissituaties en neemt in noodgevallen de nodige maatregelen op eigen initiatief, in afwachting van de arts. Toezicht houden op en evalueren van de parameters en, volgens voorschriften van de arts, de medische apparatuur aanpassen op basis van de evoluties. Voorbereiden, volgens het medisch voorschrift, van de medicatie, ze verifiëren, toedienen en de effecten ervan opvolgen. Assisteren van de arts bij bepaalde specifieke technische handelingen. Informeren van de arts bij de patiëntenronde en bij vragen de betrokkenen contacteren. Uitvoeren van verzorgende taken: je helpt – waar nodig – de patiënten bij de dagelijkse lichaamsverzorging en –hygiëne (aankleden, wassen en scheren), bewaakt het algemeen comfort, helpt bij het eten en drinken, begeleidt hen bij transfers naar andere diensten, geeft aanwijzingen en instructies aan zorgkundigen, voert volgens interne procedures de lijkverzorging uit bij overlijden van de patiënt. Mee zorgdragen over de continuïteit en kwaliteit van de zorgverlening: je geeft de nodige informatie over de patiënten aan de collega’s door om de continuïteit van de verzorging te verzekeren, informeert de behandelende arts over hun gezondheidstoestand en overlegt met de arts en therapeuten rond de aangewezen behandeling, past gemaakte afspraken van multidisciplinaire vergaderingen toe. Informeren en ondersteunen van de patiënten en hun naasten: je verzorgt het onthaal van de nieuwe patiënten, voert een verpleegkundige anamnese uit en noteert de gegevens, geeft uitleg omtrent hun gezondheidstoestand en behandeling en stelt hen gerust, stimuleert de zelfredzaamheid en bereidt hen voor op het ontslag, begeleidt en ondersteunt hen in moeilijke emotionele momenten (zoals hevige pijn, stervensbegeleiding), onthaalt de naasten in het geval van overlijden van de patiënt en begeleidt hen op moreel vlak. Uitvoeren van administratieve patiëntgebonden taken: je registreert de gegevens en verstrekte verpleegkundige zorgen (bv. de VG-MZG), vult diverse formulieren en documenten in (bv. i.v.m. opname en ontslag, medische onderzoeken), rapporteert, zowel mondeling als schriftelijk, over de gezondheidstoestand, houdt het verpleegkundig dossier actueel. Helpen bij de uitvoering van de huishoudelijke taken. Waken over de correcte werking van technische apparatuur eigen aan de afdeling. Functieprofiel Je bent bachelor of gegradueerde in de Verpleegkunde. Je hebt praktische kennis van medische materialen. Je combineert je gedegen algemene beroepskennis met affiniteit voor neurologiepatiënten. Kennis van KWS is een meerwaarde of je bent hierin een vlotte leerling. Je bent open, respectvol en integer en klantvriendelijkheid zit in je DNA. Je hebt er geen problemen mee om de nodige flexibiliteit aan de dag te leggen. Je kan georganiseerd en accuraat handelen en daarbij je zaken terdege afwerken. Je fungeert als voorbeeld voor kwaliteitsgerichtheid en professionaliteit. Je zoekt actief naar mogelijkheden voor het vergroten van de eigen deskundigheid en verdere professionele en persoonlijke ontwikkeling. Wij bieden je Een contract van onbepaalde duur. Of opname in de werfreserve. Een deeltijdse betrekking van 28,5 uur per week. Een wisselend uurrooster met shiften tussen 6u30 en 21u30. 1 weekend op 2 werken. Verloning volgens IFIC 14 of 14b (code 6184). Verlofregeling: 24 verlofdagen voor een voltijdse tewerkstelling (pro rata jobtime). On-the-job inwerking. Tal van voordelen zoals fietsleasing, gratis griepvaccin, hospitalisatieverzekering, kortingen via Benefits@work, Bringme box en een betaalbaar personeelsrestaurant. Tussenkomst woon-werkverkeer (o.a. fietsvergoeding). Kinderopvang in de vakantieperiodes. Jobtype Bediende Contracttype Onbepaalde duur Werkregime Deeltijds Solliciteren kan tot 03/08/2025 Meer Info Via Chris Catry, verpleegkundige-diensthoofd: 057 35 70 42. Veel succes! Solliciteer hier online Jan Yperman Ziekenhuis Briekestraat 12 8900 Ieper 057 35 35 35 info@yperman.net Ondernemingsnummer: BE 0462.915.078 Rechtspersonenregister (RPR) Gent, afdeling Ieper Alle campussen

Requisition ID: 8238 Bangalore, India Our mission at Enphase Energy is to advance a sustainable future for all. Today, our intelligent microinverters, which turn sunlight into an affordable, safe, reliable, and scalable source of energy, work with virtually every solar panel made, and when paired with our award-winning smart battery technology, we engineer one of the industry's best-performing clean energy systems. To date, we have installed more than 48 million microinverters on more than 2.5 million systems across 140 countries and well over 50 thousand homes use our energy storage products. Like our customers, our innovative teams are also worldwide, making Enphase Energy a truly global company. We are one of the fastest growing and most dynamic energy companies in the world. Nimble and acutely focused on developing ground-breaking solar energy management technology, each of our teams has a shared goal of creating a carbon-free future. Do you want to help change the world? Learn more about the role: For our Customer Experience team, we seek Hands-On Staff Data Scientist who can work on designing & implementing high quality scalable optimization-based applications and platforms, while providing technical leadership and mentoring to a small team of talented developers in agile environment. Your ability to take ownership of architecture, design, and implementation of maintainable, high-quality, and high-performing Machine Learning systems and Optimization applications is essential for success in this role. Provide hands-on technical expertise to design, engineer, deploy, and deliver highly scalable optimization-based applications. Drive improvements in technical architecture, standards, and processes. Drive engineering excellence while managing/mentoring talented team of developers in agile environment. Work closely with product management and other stakeholders for system design and delivery. Job Description: As an Optimization and AI/ML Expert, you will be responsible for developing and implementing advanced machine learning models, optimization algorithms, and analytical tools. You will leverage your expertise to solve complex business problems by using data-driven approaches and predictive modelling techniques. The ideal candidate will have a strong background in AI/ML, optimization, Electrical Engineering domain and applied mathematics, with a passion for designing efficient solutions to tackle large-scale, real-world challenges. Responsibilities: Optimization & AI/ML Model Development : Design, develop, and implement AI/ML models and optimization algorithms to address business challenges and improve decision-making. Data Analysis & Feature Engineering : Work with large datasets to preprocess, analyze, and engineer features for model development. Ensure data quality and integrity. Performance Improvement : Apply optimization techniques (e.g., linear programming, constraint programming, heuristic algorithms) to optimize business operations, resource allocation, and other key processes. Collaboration & Problem-Solving : Collaborate with cross-functional teams, including data engineers, business analysts, and domain experts, to identify problems and translate them into solvable AI/ML models. Research & Innovation : Stay updated on the latest trends in optimization, machine learning, and AI research. Evaluate and apply emerging technologies and techniques to enhance system performance. Model Evaluation & Tuning : Conduct model evaluation using appropriate metrics, tune hyperparameters, and ensure that models perform optimally in production environments. Documentation & Reporting : Document the methodology, processes, and results of AI/ML projects. Communicate findings to stakeholders and contribute to technical reports or presentations. Deployment & Monitoring : Work with engineering teams to deploy AI/ML models into production. Monitor model performance and provide ongoing support for scalability and robustness. Required Skills & Qualifications: Experience : 5-10 years of experience in Electrical engineering with specialization in AI/ML, optimization, and data science with a proven track record of applying these skills to real-world business challenges. Strong Analytical Skills : Expertise in quantitative analysis, applied mathematics, and optimization algorithms (e.g., integer programming, dynamic programming, convex optimization). Proficiency in Programming : Strong programming skills in Python, R, and/or MATLAB. Experience with libraries like TensorFlow, PyTorch, Scikit-learn, or similar. Machine Learning Expertise : Deep understanding of supervised and unsupervised learning, reinforcement learning, and model validation techniques. Familiarity with deep learning and neural networks is a plus. Optimization Knowledge : Solid knowledge of optimization techniques for solving complex resource allocation, scheduling, or routing problems. Data Handling & Analysis : Experience with big data technologies (Hadoop, Spark), data preprocessing, and feature engineering techniques. Problem-Solving Mindset : Ability to translate business problems into mathematical models and find creative solutions. Communication Skills : Strong written and verbal communication skills to effectively convey technical concepts to non-technical stakeholders. Advanced Degree : A Master's or Ph.D. in Computer Science, Mathematics, Engineering, Operations Research, or a related field is highly desirable. Preferred Qualifications: Experience in the deployment and scaling of AI/ML models in production environments. Knowledge of cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with optimization software/tools like Gurobi, CPLEX, or other commercial solvers. Experience with reinforcement learning and optimization in dynamic or uncertain environments.

Job Description Summary The role entails advanced software development for Power Systems Applications, with a focus on delivering specific functionalities to meet corporate project and product objectives. Responsibilities include collaborating with team working with Electric Utilities or Independent System Operators (ISOs) and Transmission and Distribution System Operators to develop functional software specifications, followed by designing, coding, testing, integration, application tuning, and delivery. Job Description Roles and Responsibilities As a senior member of the Software Center of Excellence, exemplifying high-quality design, development, testing, and delivery practices. Responsible for enhancing, evolving, and supporting high-availability Electricity Energy Market Management System (MMS). Lead the design, development, testing, integration, and tuning of advanced Power Systems Application software to fulfill project and product commitments. Develop and evolve software in a dynamic and agile environment using the latest technologies and infrastructure. Provide domain knowledge and/or technical leadership to a team of electricity markets application software engineers. Provide budget estimates for new project tasks to project leads and managers. Collaborate with customers throughout the project lifecycle to ensure software quality and functionality meet standards and requirements. Mentor junior team members. Interact with Product Development Teams, Customers, Solution Providers, and cross-functional teams as needed. Apply SDLC principles and methodologies like Lean/Agile/XP, CI, software and product security, scalability, and testing techniques. Provide maintenance of power systems application functionality, including code fixes, creating tools for model conversion, documentation, and user interfaces. Support marketing efforts for proposals and demonstrations to potential customers. Basic Qualification Ph. D. or Master’s degree in Electrical Power Systems with thesis or related work in power systems 8 to 11 years of experience in development or project delivery, preferably in Power Systems Analysis, Security Constrained Unit Commitment and Economic Dispatch using Mixed Integer Programming (MIP)/Optimization, or Applied Mathematics and Operations Research. Desired Characteristics Continuous improvement mindset; drives change initiatives and process improvements Highly organized and efficient; adept at prioritizing and executing tasks. Experience in the power systems domain. Proficiency in testing and test automation. Strong knowledge of source control management, particularly GitHub. Demonstrated ability to learn new development practices, languages, and tools. Self-motivated; able to synthesize information from diverse sources. Mentors newer team members in alignment with business objectives Continuously measures the completion rate of personal deliverables and compares them to the scheduled commitments. Transparent in problem-solving approaches and options; determines fair outcomes with shared trade-offs. Capable of defining requirements and collaborating on solutions using technical expertise and a network of experts. Effective communication style for engaging with customers and cross-functional teams; utilizes product knowledge to mitigate risks and drive outcomes. Strong verbal, written, and interpersonal communication skills; able to produce professional and technical reports and conduct presentations. Innovates and integrates new processes or technologies to add significant value; advises on change cost versus benefits and learns new solutions to address complex problems Additional Information Relocation Assistance Provided: Yes

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Years of Experience: Candidates with 4+ years of hands on experience Position: Senior Associate Required Skills: Successful candidates will have demonstrated the following skills and characteristics: Must Have Proven expertise in supply chain analytics across domains such as demand forecasting, inventory optimization, logistics, segmentation, and network design Well versed and hands-on experience of working on optimization methods like linear programming, mixed integer programming, scheduling optimization. Having understanding of working on third party optimization solvers like Gurobi will be an added advantage Proficiency in forecasting techniques (e.g., Holt-Winters, ARIMA, ARIMAX, SARIMA, SARIMAX, FBProphet, NBeats) and machine learning techniques (supervised and unsupervised) Strong command of statistical modeling, testing, and inference Proficient in using GCP tools: BigQuery, Vertex AI, Dataflow, Looker Building data pipelines and models for forecasting, optimization, and scenario planning Strong SQL and Python programming skills; experience deploying models in GCP environment Knowledge of orchestration tools like Cloud Composer (Airflow) Nice To Have Familiarity with MLOps, containerization (Docker, Kubernetes), and orchestration tools (e.g., Cloud composer) Strong communication and stakeholder engagement skills at the executive level Roles And Responsibilities Assist analytics projects within the supply chain domain, driving design, development, and delivery of data science solutions Develop and execute on project & analysis plans under the guidance of Project Manager Interact with and advise consultants/clients in US as a subject matter expert to formalize data sources to be used, datasets to be acquired, data & use case clarifications that are needed to get a strong hold on data and the business problem to be solved Drive and Conduct analysis using advanced analytics tools and coach the junior team members Implement necessary quality control measures in place to ensure the deliverable integrity like data quality, model robustness, and explainability for deployments. Validate analysis outcomes, recommendations with all stakeholders including the client team Build storylines and make presentations to the client team and/or PwC project leadership team Contribute to the knowledge and firm building activities Professional And Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA from reputed institute

We are seeking a Data Science & Optimization Engineer to develop and implement advanced predictive models and optimization solutions. The ideal candidate will have expertise in predictive modeling, integer programming, Python development, and cloud-based data processing. This role will involve working with large datasets, solving complex optimization problems (e.g., bin packing, TSP), and managing cloud infrastructure for scalable solutions. Key Responsibilities: Develop and implement predictive models using statistical methods (e.g., Bayesian models). Solve optimization problems such as bin packing, TSP, and clustering using integer programming. Utilize Gurobi (nice-to-have) or similar solvers for advanced optimization techniques. Develop Python-based solutions using Git/Poetry for code and library management. Work with data processing libraries such as Pandas, Polars, and others. Deploy and manage data pipelines on Databricks and Azure Blob Storage. Monitor and troubleshoot pipelines, logs, and cloud resources. Implement DevOps best practices (nice-to-have) for automation and CI/CD workflows. Utilize Power Apps/Power Automate for workflow automation and business process improvement. Ensure cloud cost optimization and performance tuning for scalable architectures. Required Skills & Qualifications: Strong experience in predictive modeling and statistical techniques (Bayesian modeling preferred). Hands-on experience with integer programming and clustering methods. Proficiency in Python, including experience with Git/Poetry for code and dependency management. Expertise in data processing libraries such as Pandas, Polars, or equivalent. Familiarity with Azure cloud services, Databricks, and Azure Blob Storage. Ability to read and analyze logs for debugging and performance monitoring. Experience with cloud management and optimizing resources. Knowledge of monitoring pipelines and troubleshooting issues. Strong problem-solving skills and ability to work with large-scale datasets. Preferred Qualifications: Experience with Gurobi or other mathematical optimization solvers. Exposure to DevOps practices, including CI/CD pipelines and automation. Familiarity with Power Apps/Power Automate for process automation. Strong background in cloud cost management and performance tuning

Kenvue is currently recruiting for a: Senior Business Analyst, Data Science What we do At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent. Who We Are Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. Role reports to: Director Location: Asia Pacific, India, Karnataka, Bangalore Work Location: Hybrid What you will do About Kenvue: Kenvue is the world’s largest pure-play consumer health company by revenue. Built on more than a century of heritage, our iconic brands, including Aveeno®, Johnson’s®, Listerine®, and Neutrogena® are science-backed and recommended by healthcare professionals around the world. At Kenvue, we believe in the extraordinary power of everyday care and our teams work every day to put that power in consumers’ hands and earn a place in their hearts and homes. Kenvue is currently recruiting for: Senior Business Analyst, Data Science, Digital Transformation Office This position reports to Senior Data Science Manager and is based at Bangalore. Role reports to: Senior Data Science Manager Location: Bangalore Travel %: 10% What you will do: The Senior Business Analyst, Data Science will work to deliver Optimization solution to cross-functional Supply Chain teams. This individual will work with cross-functional subject matter experts (SMEs) to deeply understand business context and key business questions / opportunities, as well as collaborate with other teams (e.g., Digital Capability teams, Data Engineering, Data Quality, Data Management & Governance, ML Ops) to ensure delivery of scalable data science solutions. The ideal candidate for this role will demonstrate a combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of the project and excellent written and communications skills to report back the findings in a clear, structured manner Key Responsibilities: Mathematical Modeling and Optimization: Develop, refine and review mathematical models to represent supply chain systems, including inventory management, production planning, transportation logistics, and distribution networks. Apply advanced optimization techniques, such as linear programming, integer programming, network flow, simulation, and heuristic algorithms, to solve complex supply chain problems Conduct sensitivity analysis, scenario modeling, and risk assessment to evaluate the impact of various factors on supply chain performance. Collaborate with stakeholders to understand business objectives, constraints, and requirements, and translate them into mathematical models and optimization problems. Data Analysis and Insights: Analyze large datasets, extract relevant information, and identify patterns and trends to support decision-making processes. Collaborate with data scientists and business analysts to gather and preprocess data from various sources, ensuring data accuracy and integrity. Generate actionable insights and recommendations based on data analysis to optimize supply chain operations, reduce costs, and improve customer service levels. Solution Deployment: Present findings, insights, and recommendations in a clear and concise manner. Make solution recommendations that appropriately balance speed to market and analytical soundness Work with internal stakeholders like Data Engineers, Data Scientist, Business Analyst, Project Manager to ensure that product is tested and deployed on time. Research and Innovation: Stay updated with the latest developments in operations research, supply chain management, and optimization techniques. Conduct research and explore innovative approaches to address supply chain challenges and drive continuous improvement. What we are looking for: Master in Industrial Engineering, Operations Research or Management Science or related field with 3+ years of total work experience in Supply Chain Optimization Proficiency in mathematical modeling and optimization techniques, such as linear programming, integer programming, network flow, simulation, and heuristic algorithms. Strong programming skills in languages such as Python, R, or MATLAB, with experience in optimization libraries (e.g., Gurobi,FICO, CPLEX) and data manipulation tools (e.g., pandas, NumPy). Experience with data analysis, statistical modeling, and visualization using tools like SQL, Tableau, or Power BI. Knowledge of supply chain concepts, including demand forecasting, inventory management, production planning, transportation logistics, and distribution networks. If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.

Kenvue is currently recruiting for a: Sr. Analyst, Data Science What we do At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent. Who We Are Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. Role reports to: Senior Manager - Data Science Location: Asia Pacific, India, Karnataka, Bangalore Work Location: Hybrid What you will do About Kenvue: Kenvue is the world’s largest pure-play consumer health company by revenue. Built on more than a century of heritage, our iconic brands, including Aveeno®, Johnson’s®, Listerine®, and Neutrogena® are science-backed and recommended by healthcare professionals around the world. At Kenvue, we believe in the extraordinary power of everyday care and our teams work every day to put that power in consumers’ hands and earn a place in their hearts and homes. Sr. Analyst, Data Science This position reports to the Manager, Data Science and is based at Bengaluru, India. Role reports to: Manager, Data Science Location: Bengaluru, India Travel %: 10% What you will do: As Sr. Analyst, Data Science, you will develop and implement data science and machine learning solutions to solve complex business problems within Kenvue Operations. In this role, you will work closely with cross-functional teams to analyze large datasets, identify patterns, and generate insights that drive business value. The ideal candidate for this role will demonstrate a combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of the project and excellent written and communications skills to report back the findings in a clear, structured manner Key Responsibilities: Develop, refine and review mathematical models to represent supply chain systems, including inventory management, production planning, transportation logistics, and distribution networks. Apply various data science techniques (e.g., Operations Research, Advanced Forecasting, Machine Learning, and Artificial Intelligence) to solve complex supply chain problems Collaborate with stakeholders to understand business objectives, constraints, and requirements, and translate them into mathematical models and optimization problems. Collaborate with data scientists and business analysts to gather and preprocess data from various sources, ensuring data accuracy and integrity. Analyze large datasets, extract relevant information, and identify patterns and trends to support decision-making processes. Follow code version through bitbucket / GIT, documenting work on Confluence. Build APIs for seamless integration with application. Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment?? Stay up to date on the latest technological developments across data science, machine learning, operations research, optimization techniques, etc. Conduct research and explore innovative approaches to address supply chain challenges and drive continuous improvement. What We Are Looking For Required Qualifications: Masters degree in Computer Science, Operations Research, Management Science or other relevant field 4 – 6 years of business experience, with at least 4 years of experience working as a data science Proficiency in mathematical modelling and optimization techniques, such as linear programming, integer programming, network flow, simulation, and heuristic algorithms. Proficiency with various data science technologies and modeling techniques Strong programming skills in languages such as Python with experience in optimization libraries and data manipulation tools (e.g., pandas, NumPy). Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, AzureML, Synapse, Databricks Experience with data analysis, statistical modelling, and visualization using tools like SQL, Streamlit Desired Qualifications: Knowledge of supply chain concepts and processes, especially within Procurement function and/or Procure to Pay value stream is strongly preferred Microsoft certification (e.g., Azure Fundamentals) is preferred Machine Learning certification and/or hands on experience developing ML-driven models is preferred APICS certification (e.g., CPIM, CSCP) is preferred Experience in creating CI/CD pipelines for deployment using Jenkins is preferred Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, or any other legally protected characteristic, and will not be discriminated against on the basis of disability. If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.

About Energy Exemplar In an era where the world is rapidly advancing towards a cleaner future through decarbonization, stakeholders from across the entire energy value chain are having to navigate the complexities of the energy ecosystem. We seek to enable our customers to do so with confidence . Our mission: Empowering Transformative Energy Decisions. Founded in 1999 in Adelaide, Australia, Energy Exemplar’s PLEXOS ® modeling and simulation software is trusted by innovative organizations across the globe. On one unified platform, stakeholders from across the entire energy value chain are revolutionizing the energy ecosystem and seamlessly planning for the future of energy with unprecedented clarity, speed, and innovation. Our impact is global and is being recogni z ed across the industry : Finalist for the 2024 Reuters Global Energy Transition Awards in the 'Technologies of Change' category Finalist for the 2024 Go:Tech Awards in the 'Most Innovative Use of Technology’ category 2022 USEA/USAID Corporate Volunteer of the Year 2022 Impact Award Winner for our impact on the energy industry and the current energy transition At Energy Exemplar, we believe in empowering our people by offering flexibility in how, when, and where they work. This flexibility has been a cornerstone of our success, fueling significant growth over the years, with the company expanding at an impressive rate of approximately 30% year over year . We understand that the best results come when our team members can balance their professional and personal lives, so we support various working arrangements that help you thrive. We don’t just celebrate the excellence of our product s but champion the quality of our people. They own their outcomes and perform to their best – every day. whether you're working from home, in the office, or on the go. Our flexible work culture fosters innovation, collaboration, and trust, making it easier to stay engaged and connected, no matter where you are. That’s what makes us who we are and a great place to work. Our core values ‘Customer Success ’ , ‘One Global Team ’ , ‘Integrity and Ownership’ and ‘Innovation Excellence’ reflect the way we work and are always a t the forefront of everything we do . About the Role The Algorithm Developer is responsible for developing and maintaining the optimization engines and ancillary calculations in our products. These form a core part of the overall company’s platform offering and require in-depth domain knowledge and mathematical programming experience. Not only does this role address the platforms content software development needs, but it also covers the technical support element to the business. This includes interaction with clients to understand the domain issues they are trying to solve, as well as the implementation of these solutions. Key Accountabilities and Duties Algorithm Design and Development Research new and emerging technologies in the energy domain (concentrating on specific areas, e.g. transmission developments, market rules, etc.) Propose concise and performant formulation specifications for new features required Develop the proposed feature/s while maintaining high quality coding standards (see “High Code Quality Contribution” accountability) Design, develop, review, re-factor, and maintain software with quality and performance in mind Collect feedback from design and technical staff on development needs Conduct technical testing to resolve existing or introduced problems Engage in requirement specification process for new software functionality Produce technical documentation such as incremental design specifications and user manuals. Technical Support Liaise with colleagues and clients to reproduce and correct any defective software Provide technical advice and suggestions to customers Ensure high priority items are addressed urgently, providing timely responses Understand the clients query, answering technical queries concisely in language they understand (i.e. understand the domain). High Code Quality Contribution Produce concise high-quality code, with performance and memory considerations at the forefront of any design Develop and demonstrate functionality through PoC (proof of concept) builds Understand core programming paradigms Experience with core development fundamentals, e.g. system architecture, memory management, parallel processing, base classing, etc. Add to engineering team’s culture of high code quality. Global Team Interaction and Collaboration Seek support from local and global developer teams when required Recommend solutions and options to global team when required Participate in global projects and attend stakeholder meetings, as and when required (often outside of “normal” work hours, due to the global nature of the meetings). Required Knowledge, Skills and Experience Breadth of experience with .NET (including VB.NET and C#), and other development languages (e.g. C++, Python, etc.) Strong mathematical skills, with solid theoretical background in numerical analysis and optimization techniques A deep understanding of Operations Research Strong knowledge and experience working with complex models Strong knowledge and experience working with energy system modelling and simulation, analysis and operation, optimization and numerical analysis methodology Ability and willingness to work independently and collaboratively Ability to interact effectively with team members Ability and desire to effectively present to others Driven and passionate about the code and products being produced EDUCATION AND EXPERIENCE Bachelor's Degree in Computer Science or a related field Post graduate degree (MSc, PhD, etc.), comp science , Maths, in relevant field 3 to 5 years commercial experience in a .NET development environment Experience working in an Agile development environment Experience with linear and mixed integer programming tools Familiarity with analytical tools, such as Unit Commitment, Economic Dispatch, Load Flow, Contingency Analysis, etc. Energy Exemplar is an equal opportunities employer and we value your unique identity and perspective . We are fully committed to providing and fostering a workplace that reflects the diversity of society. Bring your authentic self and help us build an inclusive world together! To support you in being the best version of yourself during the application and interview process, please let us know if you have any specific requirements.

Job Role: Data Engineer Work Location: Bengaluru, Karnataka Job Description: Proven knowledge of coding in Python Advanced knowledge of regression & linear optimization (Python based, relevant libraries: pandas, numpy, scikit-learn, or-tools) 2+ years of working experience in data analytics with proven project/solution track record Skills in data analysis & visualization (Python based, relevant libraries: pandas, numpy, plotly) Experience as Operations Research analyst or similar: worked with optimisation models (e.g. Integer and Linear Programming) in the past Qualifications: Bachelor’s degree or Masters Degree in Data Science, Computational Statistics/Mathematics, Computer Science or related field Self driver attitude: Execute tasks self-responsible. Can-do and get-stuff-done attitude is crucial Good communications skills, able to effectively discuss project requirements with different hierarchy levels and disciplines (engineering, business, etc.) Fluent English Special Instructions: Interview Mode: Virtual Work Mode: Hybrid(Bangalore) Duration of Contract: 12 Months Engagement type: Open for both options – C2H (Contract-to-Hire) / One-Time Hire Job Types: Permanent, Contractual / Temporary Contract length: 12 months Pay: Up to ₹1,700,000.00 per year Application Question(s): 2+ years of working experience in data analytics with proven project/solution track record Proven knowledge of coding in Python Advanced knowledge of regression & linear optimization (Python based, relevant libraries: pandas, numpy, scikit-learn, or-tools) Work Location: In person

Role: Data Scientist Location: India (Remote) About Lingaro: Lingaro Group is the end-to-end data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data. Since 2008, Lingaro has been recognized by clients and global research and advisory firms for innovation, technology excellence, and the consistent delivery of highest-quality data services. Our commitment to data excellence has created an environment that attracts the brightest global data talent to our team. About DS/AI Competency Center: Focuses on leveraging data, analytics, and artificial intelligence (AI) technologies to extract insights, build predictive models, and develop AI powered solutions. Utilizes Exploratory Data Analysis, Statistical Modeling and Machine Learning, Model Deployment, and Integration as well as Model Monitoring and Maintenance. Delivers business solutions using multiple AI techniques and tools. Website: https://lingarogroup.com/ Requirements: Must Have: 5+ years of relevant professional experience, including 2+ of DS/Operations Research experience. Experience in optimization methodologies, including use of various optimization libraries (e.g. CPLEX, Gurobi, ortools, etc.). Strong Python coding skills (including Object oriented programming concepts), including using ML libraries and basic working knowledge of SQL Experience working in cloud technologies (preferred MS Azure, GCP nice-to-have). Familiarity with theory behind various machine learning concepts Experience in CRISP-DM projects delivery and with Agile project (like Scrum, Kanban). Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment. Experience in working with client-facing role. Able to apply independent research, gather information, and give recommendation how to solve problems of diverse scope. Great communication skills. Nice to have: Other programming languages knowledge e.g., SQL, R Experience working in Spark (PySpark) Experience in working in other IT roles (Data Engineer, AI Engineer, Business Intelligence-related) is welcomed Understanding and experience in applying Data Science/Machine Learning methods to Supply Chain (Manufacturing, Transportation, Warehousing, Inventory or Sustainability) Strong statistical/mathematical background Experience in working in matrix organization Tasks: Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment of solutions – following CRISP-DM methodologies. Understanding of optimization methodologies including linear/integer/nonlinear programming and heuristics for finding the best solution to the business problem. Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, hypothesis testing, transforming findings into tasks, Proactive approach for areas where improvement is needed, like suggestions of improving existing pipelines (tests, support, and improvements) Creation and following of standards to improve competency quality. Know-how and experience from projects in Supply Chain area, or optimization projects is a plus Why join us: Stable employment. On the market since 2008, 2000+ talents currently on board in 7+ global sites. 100% remote. Flexibility regarding working hours. Full-time position Comprehensive online onboarding program with a “Buddy” from day 1. Cooperation with top-tier engineers and experts. Unlimited access to the Udemy learning platform from day 1. Certificate training programs. Lingarians earn 500+ technology certificates yearly. Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly. Grow as we grow as a company. 76% of our managers are internal promotions. A diverse, inclusive, and values-driven community. Autonomy to choose the way you work. We trust your ideas. Create our community together. Refer your friends to receive bonuses. Activities to support your well-being and health. Plenty of opportunities to donate to charities and support the environment. Please click on this website to submit your application: https://system.erecruiter.pl/FormTemplates/RecruitmentForm.aspx?WebID=58b86d44db3b4c5993eab2801d9d9a01

Description ROW SHARP Research team is responsible for building and supporting science capabilities for Amazon Supply chain teams in multiple geographies. Some example of current areas that we support are, (i) Network Design, (ii) Long Term Capacity Planning, (iii) Labor Optimization. Key job responsibilities We are looking for an Operations Research Scientist to develop & support our Short term capacity planning initiatives using Simulations, Integer Programming, Linear Programming or Heuristic search. This Scientist, will work closely with our program partners to define business requirements, build data pipeline, write optimization code, deep dive on solution quality and drive adoption with operations. The employee will also be responsible for interfacing with global science teams to help launch their tools to new geographies. A day in the life The employee will work with our program partners to find new opportunities for building/launching decision support tools for our Supply Chain planning teams. This will include Understanding the current planning process for program teams and tools available to them. Determining the gaps in the tools/decision making through data analysis or simulation systems. Determining the best possible tool to solve for the current gaps. Launch or develop the identified tool through coding or solution deep dives and scenario creation. About The Team Rest of World (RoW) Supply CHain Analytics, Research and Product (SHARP) team supports supply chain processing for the multiple geographies like IN, Japan, Mexico, Brazil, MENA, AU & SG. The research team works to support network design, labor planning and capacity planning processes through launching decision support tools for planning or execution. Basic Qualifications PhD, or Master's degree and 4+ years of quantitative field research experience Experience investigating the feasibility of applying scientific principles and concepts to business problems and products Experience analyzing both experimental and observational data sets Knowledge of R, MATLAB, Python or similar scripting language Experience with MIP Solvers like Gurobi, Xpress or Cplex. Experience with algorithms of Network flow like shortest path, Max Flow etc Preferred Qualifications Experience with agile development Experience with Data structures and Algorithms Experience with concepts of OOPs and Design principles Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ASSPL - Karnataka Job ID: A2842513

Patiënt Bezoeker Professional Zorgaanbod Campussen Het Jan Yperman Ziekenhuis is met meer dan 1400 medewerkers, 140 artsen en 532 bedden modern, jong en dynamisch. Een ziekenhuis waar de patiënt in het streven naar de beste zorg centraal staat en zeer veel aandacht aan kwalitatief hoogstaande geneeskunde wordt besteed. Als vernieuwend ziekenhuis investeren we in een stimulerende werkomgeving en teamwerk. We reiken volop kansen aan voor persoonlijke en professionele groei, met de focus op continue ontwikkeling en opleiding. Als algemeen ziekenhuis met erkende diensten voor Geriatrie beschikt het Jan Yperman Ziekenhuis over een erkend zorgprogramma voor de geriatrische patiënt. Dit programma focust op een multidisciplinaire aanpak van diagnose, behandeling, revalidatie en opvolging. Doel is om oudere patiënten zo goed mogelijk te ondersteunen in hun functioneel herstel, hun zelfredzaamheid te vergroten en levenskwaliteit te verbeteren. Binnen dit zorgtraject speelt de Dienst Psychologie een belangrijke rol. Deze dienst bestaat uit een gemotiveerd team van 16 medewerkers, die bijdragen aan de brede zorg en begeleiding van onze patiënten. Functie-inhoud Als neuropsycholoog van Geriatrie behandel je de patiënten met een gerontopsychologische problematiek op het Geriatrisch Dagziekenhuis en geriatrieafdelingen tijdens hun (dag)hospitalisatie om hun psychologisch en psychosociaal welzijn te verbeteren. Als neuropsycholoog op de dienst Neurologie voer je vooral ambulante neuropsychologische diagnostiek uit. Jouw Takenpakket Omvat Afnemen van psychodiagnostische testen binnen het Geriatrisch Dagziekenhuis, in het kader van de werking van de Geheugenkliniek Afnemen van een testbatterij in het kader van neuropsychologisch onderzoek binnen neurologie. Stellen van psychotherapeutische diagnoses en bepalen van een behandeling bij patiënten m.b.t. de betreffende problematiek, zoals het afnemen van onderzoeken of screenen (bv. psychodiagnostische tests, observaties) en voeren van individuele, koppel- en familiegesprekken om een volledig beeld van de patiënten en hun omgeving te verkrijgen. Behandelen van patiënten en hun evolutie opvolgen. Je luistert actief naar de patiënten en hun naasten. Je begeleidt hen gedurende elke fase van de ziekte (diagnose, behandeling(en), herval, gevorderde ziekte). Je beoordeelt de coping mechanismen van de patiënten ten opzichte van hun ziekte, evenals hun cognitief, psychosociaal en globaal functioneren na diagnosestelling. Op basis van deze evaluatie lever je een bijdrage aan de behandeling en het welzijn. Tevens verleen je psycho-educatie en informeer je over mogelijks risicogedrag. Verder oriënteer je de patiënten naar externe hulpverleners, indien nodig. Je maakt een verslag van elke uitgevoerde behandeling en van de toestand en evolutie. Meewerken aan de optimalisatie van de hulpverlening, zoals het actief deelnemen aan multidisciplinaire teamvergaderingen, samenwerken met de collega-psychologen, maken van notities in het elektronisch patiëntendossier en op die manier feedback, ook mondeling, aan de andere zorgverleners geven, volgen van wetenschappelijke vorming en op de hoogte blijven van ontwikkelingen in het vakgebied door ter zake doende training, vakliteratuur en symposia, het informeren en uitwisselen van praktijkbevindingen met collega’s, instaan voor het geven van vorming aan zorgverleners en patiënten. Functieprofiel Je bent master in de Klinische Psychologie. Je vertrouwd zijn met gerontopsychologie biedt toegevoegde waarde. Het genoten hebben van een bijkomende opleiding, bijvoorbeeld gerontopsychologie of neuropsychologie en/of ervaring kunnen we alleen maar aanbevelen. Het bezitten van kennis en ervaring met neuropsychologisch testonderzoek is een pluspunt. Je combineert je gedegen algemene beroepskennis met affiniteit voor het mentale welbevinden van de specifieke patiëntenpopulatie. Je kan duidelijk en objectief in groep communiceren en het eigen standpunt verdedigen. Je kan met de specifieke informaticatoepassingen werken. Kennis van Word en Excel is een meerwaarde of je bent hierin een vlotte leerling. Je bent open, respectvol en integer en klantvriendelijkheid zit in je DNA. Je denkt niet in problemen, wel in oplossingen en uitdagingen. Je hebt geen problemen om de nodige flexibiliteit aan de dag te leggen. Je kan je, zeker mondeling, vlot in het Frans uitdrukken. Je kan georganiseerd, accuraat en daarbij je zaken terdege afwerken. Je fungeert als voorbeeld voor kwaliteitsgerichtheid en professionaliteit. Je zoekt actief naar mogelijkheden voor het vergroten van de eigen deskundigheid en verdere professionele en persoonlijke ontwikkeling. Je bent bereid in een beurtrol voor wachtdienst “psychosociale begeleiding” te stappen en woont hierbij in een straal van 40km van het ziekenhuis. Wij bieden je Een tijdelijk contract in het kader van een vervanging zwangerschap tot eind mei 2026. Of opname in de werfreserve. Een voltijdse betrekking. Een uurrooster in de week, met shiften met glijtijden die zich ’s morgens tussen 7u30 en 9u en bij het afronden tussen 16u en 17u30 situeren. Een werkregime zonder weekendwerk. Verloning volgens IFIC 16 (code 5070). Verlofregeling: 24 verlofdagen voor een voltijdse tewerkstelling (pro rata jobtime). 40 uur werken in een 38 urenweekstelsel, wat in 12 extra compensatiedagen op jaarbasis resulteert. On-the-job inwerking. Tal van voordelen zoals hospitalisatieverzekering, fietsleasing, gratis griepvaccin, kortingen via Benefits@work, Bringme box en een betaalbaar personeelsrestaurant. Tussenkomst woon-werkverkeer (o.a. fietsvergoeding). Jobtype Bediende Contracttype Bepaalde duur Werkregime Voltijds Solliciteren kan tot 21/07/2025 Meer Info Via Katherine Tetaert, dienstverantwoordelijke Psychologische Dienst: 057 35 67 23. Dennis Jacques, diensthoofd Dienst Patiëntenbegeleiding: 057 35 70 41. Veel succes! Solliciteer hier online Jan Yperman Ziekenhuis Briekestraat 12 8900 Ieper 057 35 35 35 info@yperman.net Ondernemingsnummer: BE 0462.915.078 Rechtspersonenregister (RPR) Gent, afdeling Ieper Alle campussen

Position Overview Job Title: Corporate Banking Strats Corporate Title: Associate Location : Mumbai, India Role Description Deutsche CIB Centre Pvt Ltd is Deutsche bank’s global platform for front-office & aligned functions to create value by utilizing non-traditional locations, exceptional talent and a collaborative culture. This branch of Deutsche Bank Group company is looking for extremely bright candidates for the role of Corporate Banking Strats. The candidate is required to work in collaboration with London/New York team on various quantitative and regulatory driven projects. He is required to understand the business problem, gather information required for the implementation and provide an end-to-end optimized solution on a scalable platform. Implementation of the project needs to be done in Python and C++ programming language. Candidate should possess a very good English communication skill in order to coordinate and communicate his work effectively with various stakeholders spread across globe. What we’ll offer you: As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under child care assistance benefit (gender neutral) Flexible working arrangements Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Centralization and automation of Risk in Banking Book for Corporate Banking business Understand and decipher business problem to convert into manageable smaller problem statements Coordinate and gather information from various stakeholders for deeper understanding of the business Design an automated solution which is optimized and scalable Develop and design tables and databases required for the storage of the data Develop applications/libraries for the implementation of the Develop applications/libraries for the implementation of the soliton Your Skills And Experience Technical Skills- Strong educational background in Engineering/Science, preferably from good colleges in India Programming Skills – At least 3 years’ experience in Python programming At least 2 years’ experience with relational database design (oracle, mysql) Good knowledge of C++ programming concepts ( Class, Pointers, Data structure – stacks, queue) Quant/Analytical Skills – Experience with applied econometrics (Hypothesis testing, PCA, Linear/Non-Linear Regression etc) Knowledge of applied linear/Integer linear programming, dynamic programming & greedy algorithms Experience/Knowledge of working with big data (data science) Behavioral Skills Strong communication skills and presentation ability with attention to detail Good problem solving instincts and strong analytical skills How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

📢 Hiring Now: Jr. Project Coordinator – Interior Fit-Out 📍 Location: Ahmedabad 🕒 Shift: Full-Time 💰 Salary: ₹35,000/- About Us: Integer Consulting & EPC Solution is a dynamic firm dedicated to delivering turnkey interior solutions with precision and excellence. We’re looking for a skilled and proactive Project Coordinator to drive our interior fit-out projects forward with energy and organization. Role: Project Coordinator – Interior Fit-Out As a Project Coordinator, you will oversee end-to-end project activities—from BOQ preparation to vendor coordination and billing—ensuring timely and quality delivery of interior fit-out assignments. Key Responsibilities: Coordinate daily project activities, timelines, and deliverables Prepare, verify & manage BOQs and work schedules Handle procurement of materials and site logistics Oversee vendor and labour teams, including P.O. creation and billing processes Support documentation, client reporting, and project handovers Collaborate with design and execution teams to align project goals Required Skills: Proficient in MS Office, MS Project, AutoCAD Strong grasp of BOQ preparation, procurement & billing Ability to manage vendors and labour teams effectively Attention to detail and solid organizational skills Education & Experience: Bachelor’s/Master’s/Diploma in Interior Design, Architecture, or related fields Minimum 3 years of experience in reputed PMC firm in interior fit-out project 📩 Apply Now: jobs@inttegerepc.com 📞 Contact: 9909991411

A Ph.D., master’s degree in operations research, Industrial Engineering, Statistics, Applied Mathematics, Computer Science or a related field and at least 2 – 8 years of work experience in applying advanced optimization/statistics techniques in engineering and manufacturing domain. Hands on experience in Operations Research/ Optimization LP, Integer programming, Mixed Integer Programming, Decomposition Algorithms, Simulated Annealing, Genetic Algorithm, Hybrid SA & GA, Tabu search, Discrete event Simulation, Ant colony optimization, Markov decision processes. Experience with CPLEX, Gurobi, Data Visualization tools. Strong background in modeling large scale discrete, nonlinear, or stochastic mathematical optimization models and developing efficient optimization algorithms. Experience in collaborating for strategic Optimization/OR roadmaps to advance business capabilities Develop and operate solutions that optimize and automate business decisions using large data sets and algorithms Exceptional problem-solving skills. Passion for translating data into action and business insights, and keen to learn and develop new methods/technologies. Understanding of machine learning, deep learning, data mining, algorithmic foundations of optimization Proficient in one or more of the following programming languages: C++, Python, R. Ability to communicate technical information to a non-technical audience.

Aqua Security enables enterprises to secure their container-based and cloud-native applications from development to production, accelerating container adoption and bridging the gap between DevOps and IT security. We are building a state-of-the-art security platform for large enterprises in the exciting and innovative new field of software containers. Our systems are deployed on thousands of customer servers around the world. A distributed system to watch over distributed systems! About Position: We are looking for a talented Software Engineer to join our server team, in charge of developing Aqua's management console - a multi-component system with many responsibilities, performing various background jobs and large-scale data processing; supplying REST APIs, a web based UI and more. In this role, you will take part in further development of our management console, writing features across the entire application stack: SQL queries, business logic, background processes, REST APIs and web-based user interfaces. At Aqua, you will not be writing code for in-house applications. You will be writing code for large technology companies, banks, government agencies and multi-national chains. Our product is composed of multiple components, mostly installed on-premise in our customer's cloud environments, but also has SaaS components, plugins for various CI/CD systems and many more. Almost everything runs inside containers. It is written in Go - an exciting new language from Google, and heavily depends on free software/open source components. Our web UI is currently written in VueJS. We are primarily a Linux company, but our software also supports Windows and Mac. Working from Aqua Hyderabad office a minimum of 4 days per week (Mon-Thu) Requirements: Track record of delivering various features in large-scale applications or core systems with 5+ years of experience. . Experience writing multi-component systems or micro-services, with architectures requiring efficient inter-application communication. Experience writing in a high-level language such as Go, C++, Java etc .. If you're already writing Go, or spent a weekend debugging the worse memory leak ever, that's a big plus. Experience in writing code with vue.js and typescript. Experience writing APIs (either RESTful or not) and RPCs. If you've broken backwards compatibility for your customers once, and dealt with the fallout, we want you (to deal with the fallout again). Experience with RDBMS systems (e.g. MySQL, PostgreSQL, Oracle, SQLite) and/or NoSQL databases (e.g. MongoDB, Redis, Cassandra, Couchbase). If you've written queries with more than two joins, or have a strong opinion of why an integer is better as a primary key (or maybe a UUID), we'd like to hear from you. Experience with any one of the Cloud providers such as AWS is a must Experience in provisioning infrastructure using IaC tools like Terraform/CloudFormation is a plus Experience In cloud Development such as Serverless - Lambda functions – SNS, SQS, EC2, S3 bucket (Must) Linux experience - Must Experience with Docker is must. Kubernetes and OpenShift is a plus. If you can name one way in which a container is different than a regular process, you're golden. Aqua Security is the pioneer in cloud native security. Founded in 2015, Aqua Security is a global late-stage scale-up and the largest pure play cloud native vendor. Aqua helps enterprises see and stop threats across every phase of the software development lifecycle, from dev to cloud and back. If you’re ready for an exciting opportunity to dive into the hottest cybersecurity category, now is the perfect time to join Aqua! We are a global organization where every Aquarian can make a difference and make a big impact. Aqua also offers great company culture, amazing colleagues, international travel, and lots more! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Company Description Our Media Measurement team uses state-of-the-art technologies and rigorous methods to track who is watching what, where, and how they engage with content. Our clients can evaluate who is consuming which content across different media, platforms and devices, and know what the audience thinks about that content. As people consume media content on more channels, and through more devices, than ever before, we are proud to provide a full view on media consumption. We are looking for a passionate and talented Data Science Manager to join our growing team. In this role, you will have the chance to roll up your sleeves and apply data science methods and analytics to sustain our growth. Successful candidates are intellectually curious builders and active learners who are biased toward action and new problem solving. Job Description As a Data Science Manager you will have following key accountabilities: Team Leadership: Build and lead a high-performing team of 6-8 Data Scientists and Machine Learning Engineers in our Pune hub. Foster a collaborative and inclusive team culture that encourages innovation and continuous learning. Business Understanding: Utilize your solid business understanding to align with stakeholders, discuss requirements and feasibility, and manage expectations effectively. Ensure clear communication and understanding of project goals and outcomes. Technical Communication: Explain Data Science principles, concepts, algorithms, and approaches in simple terms to diverse audiences, including non-technical stakeholders. Active Contribution: Drive ML/AI solutions throughout the full life cycle, from brainstorming and conceptual design to implementation, productization, and maintenance. Ensure timely delivery and high-quality outcomes. Innovation and Improvement: Continuously improve methods and tools. Foster knowledge exchange within the team and the broader organization. Represent our Data Science expertise at conferences, workshops, and industry events. Cross-functional Collaboration: Collaborate with teams across Tech, Operations, Commercial, and Product to understand domain-specific requirements and deliver impactful data-driven solutions. Qualifications ow you know what a Data Scientist does. What skills, qualifications & experience do you need for this job? Key Qualifications Educational Background: PhD or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, with 8+ years of experience as a Data Scientist. Leadership Experience: Proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams. Communication Skills: Ability to effectively communicate complex methodologies and technologies to both technical and non-technical audiences. Strong problem-solving skills and an independent working style. Technical Expertise: Strong statistical and machine learning modeling skills, including statistical tests, classification, predictive modeling, handling of missing data, and sampling/weighting techniques. Solid in analytical programming languages such as Python or R, along with their respective ecosystems. Hands-on experience implementing these models in production systems. Proficient in software development skills, including unit testing, CI/CD, and version control with Git, along with familiarity with computer science and engineering fundamentals such as data structures, software design principles, and testing strategies. Preferred Qualifications Experience in the Media industry Experience working with cloud-based data services (AWS, Azure, or GCP) Experience with Optimization techniques such as: linear programming, integer programming, genetic algorithms, constrained optimization is a plus Benefits: Meaningful projects, where you learn every day and show what you've got The possibility to be part of a talented team, working with experienced individuals A nice place to work, where we foster training, and personal development Flex Office: a mix of remote and in-office work to boost our productivity and promote a healthy work-life balance Can there be a better place to take center stage in the digital revolution? We are excited to getting to know you! Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Company Profile : That's My Craft interior designing studio operating since 2016. We specialised in providing comprehensive turnkey solutions for a wide range of integer design projects. With a close-knit team we strictly work with fresh philosophy every time. Responsibilities : The key responsibilities area (KRA) of 2D Interior Designer :- 1. Drawing & Drafting - Develop 2D floor plans, furniture space planning , Furniture elevations, sections, and detailed working drawings (Civil work, electrical, plumbing, Reflected celling plan (RCP), etc.) - Convert site measurements, concept sketches, and verbal inputs into clear technical drawings - Prepare detailed drawings for custom furniture, cabinetry, and interior elements - Maintain a drawing library and template consistency across projects 2. Collaboration Coordinate with the design and execution team to ensure drawing accuracy and feasibility 3. Technical Accuracy Ensure that all drawings follow industry drafting standards, including proper dimensioning, layering, and annotations 4. Software & File Management - Work daily in AutoCAD, and optionally SketchUp/Layout for presentation-style 2D exports Required Skills & Qualifications - Proficiency in AutoCAD (mandatory) - Knowledge of basic SketchUp is a plus - Good understanding of interior materials, detailing, and joinery principles - Ability to interpret conceptual inputs into executable technical outputs - Familiarity with building codes, electrical, plumbing, and civil coordination basics is preferred Soft Skills - Strong attention to detail and accuracy - Ability to work under pressure and meet deadlines - Proactive communicator – ability to clarify inputs and flag drawing conflicts early - A team player with a collaborative mindset Preferred Background - Diploma/Degree in Interior Design, Architecture, or related field - 1 years of experience in 2D drafting roles within architecture or interior studios - Portfolio demonstrating technical drawing capabilities and design sensibility How to Apply: Send your resume & portfolio( showcasing relevant 3D visualization work, including examples of interior renderings and video walkthroughs) at hr@thatsmycraft.com or contact on this number +91 9023333832. Job Types: Full-time, Permanent, Fresher Pay: ₹10,000.00 - ₹15,000.00 per month Benefits: Internet reimbursement Leave encashment Paid time off Schedule: Day shift Work Location: In person