110 Network Analysis Jobs - Page 5

Carry out in-depth investigation on security events, raise incidents and support the Incident Management process. Provide remote incident response activities and advice to support customers during and immediately after security incidents. Respond to system generated alerts, analyze logs and traffic patterns. Maintain and improve SIEM correlation rules and Endpoint Protection detections. Supporting multiple customer environments concurrently. Provide analysis and trending of security log data and network traffic. Generate customer facing security reports. Integrate and share information with other analysts and other teams. Other duties as assigned. REQUIREMENTS: Has a passion for security and enjoys solving problems. Experience working with SIEM and EDR systems. Good knowledge of Cyber Security Incident Response processes & procedures. Excellent knowledge on the fundamentals of Windows and Unix systems. Good understanding of host forensics, memory forensics and network forensics. In-depth knowledge of the security threat landscape. Knowledge of various security methodologies and processes, and technical security solutions. Knowledge of TCP/IP Protocols, network analysis, and network/security applications. Knowledge of investigation techniques to determine security incidents. Ability to multi-task, prioritize, and manage time effectively. Strong attention to detail. Excellent interpersonal skills and professional demeanor. Excellent verbal and written communication skills. Excellent customer service skills. Industry standard certifications such as: CREST CRT, GCFA, GCFE, GNFA, GREM. 4+ years experience as a Cyber Security Analyst or equivalent. Experience of working in an MSSP/MDR SOC environment. Ability to work a shift rota. In order to be considered for a position at Kroll, you must formally apply via careers.kroll.com Kroll is committed to equal opportunity and diversity, and recruits people based on merit #LI-TM1 #LI-Remote

Management Level Ind & Func AI Decision Science Analyst Location: Bengaluru (Bangalore), Gurugram (Gurgaon), Hyderabad, Chennai. Must-have skills: Programming languages -Python/R, Generative AI, Large Language Models (LLMs), ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API, RAG Applications. Good to have skills :Big data technologies such as Spark or Hadoop,AI model explainability(XAI),bias detection and AI ethics. Familiarity with Edge AI and deploying models on embedded devices for industrial automation. Experience with Reinforcement Learning (RL) and AI-driven optimization techniques. Job Summary We are looking for a Data Scientist / AI Specialist with 1-3 years of experience to join our team and work on client projects in the Automotive & Industrial sectors. This role will involve leveraging traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments. Prior experience in the Auto/Industrial industry is a plus, but we welcome candidates from any domain with a strong analytical mindset and a passion for applying AI to real-world business challenges. Roles & Responsibilities: Develop, deploy and monitor AI/ML models in production environments & enterprise systems, including predictive analytics, anomaly detection, and process optimization for clients. Work with Generative AI models (e.g., GPT, Stable Diffusion, DALLE) for applications such as content generation, automated documentation, code synthesis, and intelligent assistants. Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems for industrial applications. Design and build Autonomous AI solutions for tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA). Work with structured and unstructured data from various sources, including IoT sensors, manufacturing logs, and customer interactions. Optimize and fine-tune LLMs (Large Language Models) for specific business applications, ensuring ethical and explainable AI use. Utilize MOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles. Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to align AI solutions with business objectives. Stay updated with cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems. Professional & Technical Skills: 1-3 years of experience in Data Science, Machine Learning, or AI-related roles. Proficiency in Python (preferred) or R, and experience with ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API. Strong understanding of Generative AI, Large Language Models (LLMs), and their practical applications. Hands-on experience in fine-tuning and deploying foundation models (e.g., OpenAI, Llama, Claude, Gemini, etc.). Experience with Vector Databases (e.g., FAISS, Chroma, Weaviate, Pinecone) for retrieval-augmented generation (RAG) applications. Knowledge of Autonomous AI Agents (e.g., AutoGPT, BabyAGI) and multi-agent orchestration frameworks. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. Strong problem-solving and analytical thinking abilities. Ability to communicate complex AI concepts to technical and non-technical stakeholders. Bonus:Experience in Automotive, Industrial, or Manufacturing AI applications (e.g., predictive maintenance, quality inspection, digital twins). Additional Information: Bachelor/Master's degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record /MBA from top-tier universities. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 1-3 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Master’s degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.

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Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : BlueYonder Transportation Management Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time educationJob Summary :We are looking for a skilled Blue Yonder TMOD Consultant with 815 years of functional experience in transportation modeling and supply chain network analysis. The ideal candidate should have a strong understanding of global transportation networks, cost structures, and experience using leading modeling tools to drive data-backed decisions.Key Responsibilities:Analyze and model global transportation networks to optimize cost and service.Work closely with business and technical teams to gather requirements, define scenarios, and run simulations.Leverage tools like LLamasoft, Supply Chain Guru, and ideally Blue Yonder TMOD to perform network analysis and what-if scenarios.Interpret and present findings from transportation models to key stakeholders.Work on large datasets using Excel and Access DB to extract, analyze, and prepare data for modeling.Provide insights and recommendations to improve network design and cost efficiency.Key Skills & Qualifications:35 years of functional experience in transportation modeling or network optimization.Strong understanding of global transportation networks and associated cost structures.Hands-on experience with modeling tools such as LLamasoft (Supply Chain Guru); experience with Blue Yonder TMOD is a strong plus.Proficient in data analysis using Microsoft Excel (advanced functions, pivot tables, charts) and Access DB.Excellent analytical, problem-solving, and communication skills.Ability to work independently in a fast-paced environment and manage multiple priorities. Qualification 15 years full time education

for MMM Role: Management Level :Ind&Func AI Decision Science Consultant Location :Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods:SVM, Decision Trees, Programming Languages & Tools:Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP) Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice . This role is focused on Market Mix Modeling (MMM) , where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. You will work with leading financial clients, leveraging cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models , delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping , staffing , and execution phases. Practice Enablement Mentor and guide analysts , consultants , and managers to build their expertise in Market Mix Modeling and analytics . Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM , ensuring the development of high-quality client proposals and responses to RFPs . Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 3+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization , AI/ML models , and advanced statistical techniques for marketing. Proficiency in programming languages such as Python , NumPy , Pandas , Sklearn , Seaborne , Pycaret , and Matplotlib . Experience with cloud platforms such as AWS , Azure , or GCP and data migration to Snowflake . Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures . Additional Information: Masters degree in Statistics , Econometrics , Economics , or related fields from reputed universities . Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights . About Our Company | AccentureQualification Experience: 3+ years of experience in Market Mix Modeling (MMM) and optimization techniques 2+ years for Analysts & 4+ years for Consultants of experience in consulting/analytics within reputed organizations Educational Qualification: Masters degree in Statistics , Econometrics , Economics , or related fields from reputed institutions Ph.D. or M.Tech in relevant fields is an advantage

Primary Responsibilities: Basic, structured, standard approach to work Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualification: Undergraduate degree or equivalent experience

The primary objective of this role is to enhance network capacity, ensuring consistent availability to support products and services that meet customer expectations. This is a hands-on operational role focused on executing capacity planning activities that directly influence daily network performance and reliability. Responsibilities Conducting Customer Circuit Validation, Network Analysis, Core Planning and Migrations for IP services. Reserving Capacities and managing bandwidth on inventory management systems & closing tasks in a time bound manner. Ensure order completion related to capacity augmentation or modification within TAT. Drive the Edge capacity management for Migration/ Modernization Projects Monitor project status and adherence to project timelines & guide team on escalations. Review traffic forecasts, past trends, and utilization reports to analyse trends. Understand network topology & Customer requirements and propose Solution for migrating the circuit. Ensure all documentations & databases are updated. Create and maintain SOPs, process maps, and knowledge articles. Mentor new joiners and support upskilling initiatives Drive automation, lean initiatives, and best practices. Desired Skill sets Experience in Validation/Network Analysis/Planning IP services Expertise in Telecom provisioning, capacity management solutions Experience in network management applications and data network Experience in Database applications like Remedy, Crammer etc Infrastructure Sizing and Capacity management experience leadership skills is preferred

The primary objective of this role is to enhance network capacity, ensuring consistent availability to support products and services that meet customer expectations. This is a hands-on operational role focused on executing capacity planning activities that directly influence daily network performance and reliability. Responsibilities Conducting Customer Circuit Validation, Network Analysis, Core Planning and Migrations for IP services. Reserving Capacities and managing bandwidth on inventory management systems & closing tasks in a time bound manner. Ensure order completion related to capacity augmentation or modification within TAT. Drive the Edge capacity management for Migration/ Modernization Projects Monitor project status and adherence to project timelines & guide team on escalations. Review traffic forecasts, past trends, and utilization reports to analyse trends. Understand network topology & Customer requirements and propose Solution for migrating the circuit. Ensure all documentations & databases are updated. Desired Skill sets Experience in Validation/Network Analysis/Planning IP services Expertise in Telecom provisioning, capacity management solutions Experience in network management applications and data network Experience in Database applications like Remedy, Crammer etc Infrastructure Sizing and Capacity management experience

What You'll Do The SOC Analyst will play a key role in detecting, investigating, and responding to cyber threats across Avalara's products, services, and enterprise infrastructure. You'll work with top-tier tools and teams to monitor and analyze security incidents, support threat hunting, and drive investigations to resolution. This role is vital to incident response efforts and must remain active even during crisis events. You will report to Sr. Manager, Threat Detection and Response. This is a remote position. What Your Responsibilities Will Be Responsible for working in a 24x7 Security Operations Center (SOC) environment. This position is A-Shift (India Night) and is a member of an on-call rotation. You will respond to, contain, eradicate, and develop intelligence from all forms of security incidents. You will provide analysis and trending of security log data from multiple heterogeneous security devices. You will provide Incident Response (IR) support when analysis confirms applicable incident. You will provide threat and vulnerability analysis and security advisory services. You will analyse and respond to previously undisclosed software and hardware vulnerabilities. Leverage AI to tune/automate redundant tasks. What You'll Need to be Successful Qualifications Bachelor's degree in a related field. 3+ years of experience in security event analysis, incident response, or SIEM engineering. Knowledge of various security methodologies, processes, and technical security solutions (firewall and intrusion detection systems). Knowledge of TCP/IP Protocols, network analysis, and network/security applications. Knowledge of common Internet protocols and applications. Familiarity using SIEM and other log aggregation and correlation tools.

Design, implement, and manage LAN/WAN/WLAN, firewalls, switches, routers, SD-WAN, and telephony. Ensure network security, monitoring, and issue resolution. Expertise in Cisco, Fortinet, TCP/IP, BGP, OSPF, SolarWinds, Azure, and access control models.