53 Statistical Methods Jobs - Page 2

About the Role: As a Cognitive SON Architect, you will be responsible for designing, developing, and implementing AI-driven solutions to enhance the performance, scalability, and self-management of telecommunications networks. You will work in close collaboration with cross-functional teams to build and deploy intelligent network automation tools leveraging machine learning, artificial intelligence, and advanced analytics. The goal is to deliver innovative solutions to optimize the operation and evolution of modern mobile networks, particularly focusing on 5G and beyond. Requirements Skills & Qualifications: Education: A bachelor's or master's degree in Telecommunications, Computer Science, Electrical Engineering, or a related field. Experience: Proven experience (typically 5+ years) in network architecture, SON, or AI/ML applications within telecommunications. Strong background in network optimization, particularly in RAN, 5G, or related technologies. Experience with Cognitive SON technologies, automation, and self-optimizing networks is highly desirable. Technical Expertise: Strong programming skills in languages such as Python, Java, Microservices. Proficiency in AI/ML algorithms, data modeling, and statistical methods. In-depth knowledge of RAN technologies, 5G, and network management protocols. Experience with cloud computing, big data platforms, and software-defined networking (SDN) is a plus. Desirable Skills: Familiarity with network orchestration and management tools (e.g., NFV, SDN). Experience with programming languages such as Python, Java, or similar, used for AI/ML solutions. Hands-on experience with tools like TensorFlow, PyTorch, or other machine learning frameworks. Knowledge of 5G and future mobile network standards (e.g., 3GPP, O-RAN). Skills: Strong problem-solving abilities and a passion for developing innovative solutions. Excellent communication skills to work with cross-functional teams and stakeholders. Ability to understand and translate business requirements into technical solutions. Key Responsibilities: Design & Architecture: Define the architecture for Cognitive SON solutions, integrating AI/ML techniques to automate network management tasks such as self-healing, self-optimization, and self-configuration. Technology Development: Develop innovative algorithms, models, and tools to enhance the cognitive capabilities of SON systems, utilizing AI/ML techniques to solve complex network optimization challenges. Network Optimization: Work on optimizing radio access networks (RAN) by developing solutions that adapt in real-time to network conditions and demands. This includes interference management, load balancing, and energy efficiency. AI/ML Integration: Collaborate with data scientists to implement machine learning and artificial intelligence methods for predictive analytics, anomaly detection, and decision-making in the SON context. End-to-End Solution Design: Lead the design of end-to-end SON solutions, ensuring seamless integration with existing network management systems, 5G infrastructure, and other products. Collaboration: Work closely with product managers, engineers, and stakeholders to ensure the successful delivery of Cognitive SON features and the alignment of solution development with business goals. Research and Innovation: Stay updated with the latest trends and advancements in AI/ML, network automation, and self-organizing networks, and contribute to the continuous innovation in solutions. Customer Interaction: Engage with customers to understand their network challenges and provide solutions that leverage Cognitive SON technology to address their needs and pain points.,

The HAECO Group is a leading global provider of MRO services in the aviation industry. With a diverse range of aviation products and services, we ensure the safe and efficient operation of aircraft, engines, and components for our customers worldwide. Established in Hong Kong in 1950, our presence has expanded globally, encompassing operations in the Asia-Pacific region, Americas, and beyond. At HAECO Hong Kong, located at the Hong Kong International Airport (HKIA), we deliver a comprehensive array of services including airframe services, line services, component services, engine services, inventory technical management, cabin solutions, freighter conversions, technical training, and AOG support. As a vital member of our team, your role is pivotal in ensuring the efficient execution of projects by closely monitoring progress, adjusting capacity plans, and proposing effective solutions to meet project milestones. Your contributions will be instrumental in optimizing resources, supporting recruitment efforts, and facilitating decision-making processes to uphold operational excellence. Key Responsibilities: - Capacity Planning and Replanning: Proactively manage and adjust capacity based on project priorities, trade capacity availability, workload plans, and potential risks. - Solution Proposals: Develop and present alternative solutions for capacity rearrangements to meet project milestones while minimizing disruption to hangar operations and future capacity plans. - Manpower Availability Support: Provide accurate data on manpower availability to the Resources Planning team for new business inquiries. - Collaborate closely with the Takt team and BM Managers to monitor and verify WIP project progress, assessing the need for capacity replanning. - Project future trade workload to support the BM Development Manager in human capital recruitment initiatives. Requirements: - Minimum of 5 years of experience in the aviation industry, with at least 3 years in Project Management, capacity planning, or operations analysis. - Proficiency in data analysis and statistical methods, capable of interpreting complex data sets to derive actionable insights. - Experience with capacity modeling tools or techniques to forecast resource requirements and optimize utilization. - Familiarity with software applications for capacity planning, project management, and data visualization (e.g., Excel, SQL, Power Platform, Tableau). - Ability to thrive in a fast-paced environment and work effectively under tight schedules. - A recognized university degree in Production or Industrial Engineering, Data Sciences, or related disciplines is preferred but not mandatory. Join our team at HAECO and embark on a rewarding career with a global leader in aviation services! Reference ID: 662 Candidates who do not receive communication within 4-6 weeks of submitting their applications and/or interviews may consider their application unsuccessful. Rest assured that all information provided by candidates will be handled with strict confidentiality and used solely for employment purposes.,

At CommBank, we believe in providing a work environment that is tailored to suit your needs, offering various flexible working options. Our team in Bangalore is currently seeking an Analyst specializing in Fraud & Scams Analytics to join the Fraud & Scams Analytics team. As an Analyst in Fraud & Scams Analytics, your primary responsibility will be to define and execute robust fraud analytics procedures for the Group. Working collaboratively with a team of diverse backgrounds, you will develop data features for fraud and scam detection models, enhance scripts to improve accuracy, and collaborate with analytics staff. Additionally, you will liaise with Data Scientists and rule writers to optimize fraud detection for the bank using self-service tools. The ideal candidate for this role should possess at least 3 years of experience in Data Analytics. You must be proficient in gathering and cleaning data from various sources, utilizing tools such as SQL, Python, or R, as well as AI virtual assistants for data manipulation. Your role will also involve performing exploratory data analysis to uncover patterns, correlations, and trends, applying statistical methods and machine learning techniques to analyze data, and providing actionable recommendations based on your findings. To excel in this position, you should have an analytical mindset with the ability to creatively solve problems. It is essential to stay updated on the latest trends and technologies in data analytics and machine learning, identifying opportunities for process improvements and automation. Effective collaboration within the analytics community and with stakeholders is crucial for success in this role. Candidates with a Bachelor's or Master's degree in computer science, engineering, or information technology are encouraged to apply. If you are already part of the Commonwealth Bank Group, including Bankwest and x15ventures, please apply through Sidekick to submit a valid application. We are committed to supporting you in your career growth and development. If you require additional support or have accessibility needs, please contact HR Direct at 1800 989 696. We aim to make the application process as seamless as possible for all candidates. Join our team and be part of safeguarding our customers from financial fraud and scams while contributing to the development of innovative fraud analytics procedures. Apply now and take the next step towards a rewarding career with us.,

About the Role: As a Cognitive SON Architect, you will be responsible for designing, developing, and implementing AI-driven solutions to enhance the performance, scalability, and self-management of telecommunications networks. Your main focus will be to work closely with cross-functional teams to build and deploy intelligent network automation tools using machine learning, artificial intelligence, and advanced analytics. Your goal will be to deliver innovative solutions to optimize the operation and evolution of modern mobile networks, with a particular emphasis on 5G and beyond. Requirements Skills & Qualifications: - Education: A bachelors or masters degree in Telecommunications, Computer Science, Electrical Engineering, or a related field. - Experience: You should have proven experience (typically 5+ years) in network architecture, SON, or AI/ML applications within telecommunications. A strong background in network optimization, especially in RAN, 5G, or related technologies, is required. Experience with Cognitive SON technologies, automation, and self-optimizing networks is highly desirable. - Technical Expertise: You should have strong programming skills in languages like Python, Java, and Microservices. Proficiency in AI/ML algorithms, data modeling, and statistical methods is essential. In-depth knowledge of RAN technologies, 5G, and network management protocols is a must. Experience with cloud computing, big data platforms, and software-defined networking (SDN) is a plus. - Desirable Skills: Familiarity with network orchestration and management tools (e.g., NFV, SDN), experience with programming languages such as Python, Java, or similar for AI/ML solutions, hands-on experience with tools like TensorFlow, PyTorch, or other machine learning frameworks, and knowledge of 5G and future mobile network standards (e.g., 3GPP, O-RAN) are desirable. Skills: - Strong problem-solving abilities and a passion for developing innovative solutions. - Excellent communication skills to collaborate with cross-functional teams and stakeholders. - Ability to understand and translate business requirements into technical solutions. Job responsibilities Key Responsibilities: - Design & Architecture: Define the architecture for Cognitive SON solutions, integrating AI/ML techniques to automate network management tasks such as self-healing, self-optimization, and self-configuration. - Technology Development: Develop innovative algorithms, models, and tools to enhance the cognitive capabilities of SON systems, utilizing AI/ML techniques to solve complex network optimization challenges. - Network Optimization: Work on optimizing radio access networks (RAN) by developing solutions that adapt in real-time to network conditions and demands, including interference management, load balancing, and energy efficiency. - AI/ML Integration: Collaborate with data scientists to implement machine learning and artificial intelligence methods for predictive analytics, anomaly detection, and decision-making in the SON context. - End-to-End Solution Design: Lead the design of end-to-end SON solutions, ensuring seamless integration with existing network management systems, 5G infrastructure, and other products. - Collaboration: Work closely with product managers, engineers, and stakeholders to ensure the successful delivery of Cognitive SON features and the alignment of solution development with business goals. - Research and Innovation: Stay updated with the latest trends and advancements in AI/ML, network automation, and self-organizing networks, and contribute to the continuous innovation in solutions. - Customer Interaction: Engage with customers to understand their network challenges and provide solutions that leverage Cognitive SON technology to address their needs and pain points. What we offer Culture of caring: At GlobalLogic, we prioritize a culture of caring where people come first. You'll experience an inclusive culture of acceptance and belonging from day one, building meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development: We are committed to your continuous learning and development, offering many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. Interesting & meaningful work: As part of our team, you'll have the chance to work on impactful projects that matter, engaging your curiosity and creative problem-solving skills. Balance and flexibility: With various career areas, roles, and work arrangements, you can explore ways to achieve the perfect balance between work and life. High-trust organization: Joining GlobalLogic means being part of a high-trust organization where integrity is key, ensuring a safe, reliable, and ethical global company. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for creating innovative digital products and experiences since 2000. Collaborating with clients worldwide, we transform businesses and redefine industries through intelligent products, platforms, and services.,

The Data Science team at Meesho plays a crucial role in devising creative solutions and building intelligent systems for millions of users across a wide range of product categories. As a Principal Data Scientist in the AdTech team, you will lead innovation in the advertising platform by leveraging advanced machine learning and statistical methods. Your responsibilities will include developing algorithms to optimize ad spend and ROI, designing frameworks to measure ad effectiveness, collaborating with cross-functional teams to implement AI/ML solutions, and providing strategic insights to tech and business leadership. Key Responsibilities: - Design and develop sophisticated algorithms for bidding and budget optimization. - Create frameworks for measuring ad effectiveness and ROI. - Collaborate with product and engineering teams to implement AI/ML solutions. - Communicate insights and recommendations to tech and business leadership. - Mentor junior data scientists and provide technical guidance. - Lead research initiatives in machine learning, auction theory, and advertising technology. Requirements: - B.Tech in Computer Science, Machine Learning, or a related field with a minimum of 6 years of experience in AI/ML research. - Proficiency in PyTorch or TensorFlow, and expertise in Python and big data technologies. - Experience in auction theory, predictive modeling, causal inference, and reinforcement learning. - Strong communication skills to convey complex concepts to technical and non-technical audiences. - Prior experience in mentoring junior data scientists and managing multiple problem statements. Preferred Qualifications: - M.Tech or Ph.D. in Computer Science with a specialization in Machine Learning. - 3+ years of experience applying machine learning in AdTech or related domains. - Exposure to real-time bidding systems, programmatic advertising, or ad exchanges. - Track record of successful research-to-product transitions. - Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI).,

As an experienced Business Analyst, your role as an Inspection Coordinator involves focusing on ensuring the proper execution of various production support activities. This includes triggering Inspection Announcement letters, validating Primary Inspection Contacts, and reviewing Third Party Property Inspection Audit reports to identify and track Repairs and Maintenance (RM), Health & Safety (H&S), or Excess Deferred Maintenance (EDM) until completion. In addition to your Business Analysis responsibilities, you will collaborate with colleagues across different lines of business to understand challenges and opportunities, translating this insight into high-quality reports. Your expertise will be utilized to optimize processes and identify new capabilities using lean and value stream mapping techniques. Strong technological skills are essential, ranging from data management to functional design. Required Skills and Capabilities: Soft Skills: - Communication: Demonstrating excellent verbal and written communication skills. - Influence: Ability to influence stakeholders and serve as a thought partner. - Ambiguity: Navigating through ambiguity to define and firm up processes and deliverables as necessary. - Self-Starter: Must be capable of working independently without constant supervision. - Time Management: Ability to manage multiple tasks with competing timeframes and resources simultaneously. - Willingness to work evening/USA shifts in India. Technical Skills: - Bachelor's degree in computer sciences or equivalent preferred. - 3 to 5 years of expertise in Alteryx, Tableau, Python, UiPath Studio, Azure, SharePoint, and other MS Office Applications (PPT, Excel, Visio, Access). - Hands-on experience in developing automation solutions using the mentioned tools or equivalent. - Advanced data analysis skills, constructing complex data queries, and collaborating effectively with team members. - Working knowledge of project management, value stream mapping, lean six sigma methodologies, business analysis, design thinking, and statistical methods. - Previous experience in a global finance or banking institution is advantageous. Location: - Bengaluru,

You are a technology-led healthcare solutions provider driven by the purpose of enabling healthcare organizations to be future-ready. At Indegene, you offer accelerated global growth opportunities for bold, industrious, and nimble talent. Your unique career experience celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. If you are looking to explore exciting opportunities at the convergence of healthcare and technology, visit www.careers.indegene.com to kickstart your career. The first few years of your career are crucial as they lay the foundation for your professional journey. Indegene promises a differentiated career experience where you will work at the intersection of healthcare and technology and be mentored by industry experts. You will have the opportunity for global fast-track career growth alongside Indegene's high-speed expansion. As a purpose-driven organization, you focus on enabling healthcare organizations to be future-ready with customer obsession as your driving force. You are bold in actions, nimble in decision-making, and industrious in your work approach. About Indegene - https://www.indegene.com/ Experienced Senior Design Quality Engineer is sought with a focus on ensuring product quality throughout the lifecycle. This includes leading Quality Plan development, validating critical design inputs, ensuring compliance during design reviews, verification, validation, and transfer. The ideal candidate should excel in risk management, design for reliability (FMEA, V&V, RCA), and post-market analysis to drive continuous improvement. Collaboration across functions to deliver high-quality, customer-focused, and regulatory-compliant products is essential. Roles and responsibilities: - Develop appropriate quality plans covering all product lifecycle stages - Provide oversight of Quality Plan execution, Risk Management activities, and design-related tasks - Validate key design inputs such as usability, reliability, performance, and more - Assess product quality performance and conduct post-market analysis - Ensure compliance during design reviews, verification, validation, and transfer - Apply design for quality and reliability best practices Skills: - Knowledge of global medical device or consumer product regulations and standards - Experience in Software or Hardware development, Verification and Validation, Risk management, RCA, and more - Familiarity with Sample Size Determination, Statistical Methods, Safety Risk Management, and Failure Modes and Effects Analysis - Understanding of quality system development, documentation, and implementation - Ability to develop and implement quality programs, including problem-solving Qualifications: - Bachelor's degree in Engineering - Minimum 3 years of experience in medical device-related Quality & Regulatory domain with knowledge of design control principles EQUAL OPPORTUNITY Apply now if you are excited about this opportunity to contribute to the future of healthcare technology!,

The job objective for the Data Analyst GFM role is to support the Treasury & Markets (T&M) data analytics capability. You will be responsible for sourcing, compiling, designing, and analyzing T&M's structured and unstructured data into a data model framework. This will involve facilitating the targeting of potential business opportunities, identifying process inefficiencies, and understanding overall business trends. You will work within the Data Analytics team (across geographies) to partner and represent across T&M teams to assess business needs and identify opportunities to apply data analytics. Your role will also include assisting in defining the analytical strategy, including analytical approaches, data, and technology requirements. Prioritizing the book of work in accordance with the revenue impact and achieving the yearly data revenue targets set for the market will be crucial. Additionally, you will be responsible for streamlining data deliverables in coordination with multiple business stakeholders across the bank and in alignment with the VUCA business environment. Your tasks will involve data back-end tasks such as data extraction, transformation, and loading, as well as using various techniques for data cleansing. You will utilize appropriate machine-learning/deep learning/statistical methods to develop advanced data analytics models to uncover irregular and hidden patterns and predict business leads, risk events under comprehensive scenarios. Furthermore, you will be expected to create effective data visualization via BI tools (i.e., Tableau, MS Power BI, Qlik suite) of results to present key findings to senior management and/or other stakeholders with actionable insights. Requirements: - General understanding of Financial Markets, with emphasis on Equity, FX, Credit, and Interest Rate cash and derivative products - Expert problem-solving skills, strong attention to detail, creative mindset, and interest in data analytics - Hands-on experience in Python and/or R, SQL, or other statistical program languages and/or experience in using commercial statistical analytics tools, e.g., SAS, SPSS - Extensive experience in data visualization tools, preferably Tableau - Independent self-starter with the ability to multitask and efficient project management - Effective interpersonal and organizational skills - Good command of English - Have a can-do attitude If you are seeking a role where you can contribute to the data analytics capability of Treasury & Markets while leveraging your expertise in financial markets and data analytics, we encourage you to apply. Join our dynamic environment that offers a competitive salary and benefits package, along with professional growth opportunities that recognize your achievements.,

About Us At Bank of America, you will be part of a company guided by a common purpose to help improve financial lives through the power of connections. Responsible Growth is the foundation of our operations, ensuring we deliver for our clients, teammates, communities, and shareholders consistently. Being a great place to work for our global teammates is crucial for driving Responsible Growth. We are committed to fostering a diverse and inclusive workplace, hiring individuals with varied backgrounds and investing in their well-being through competitive benefits that support their physical, emotional, and financial health. Flexibility and collaboration are key values at Bank of America. We provide a multi-faceted approach to flexibility based on the diverse roles within our organization. Working at Bank of America offers you a rewarding career with ample opportunities for learning, growth, and impact alongside the ability to make a meaningful difference. Join us! Global Business Services Global Business Services provides Technology and Operations capabilities to Bank of America's Lines of Business and Staff Support Functions through a globally integrated delivery model and resilient operations. Recognized for flawless execution, sound risk management, operational resiliency, operational excellence, and innovation, Global Business Services operates across five locations in India under BA Continuum India Private Limited (BACI), the non-banking subsidiary of Bank of America Corporation that oversees India operations. Process Overview The Analytics, Risk and Quant (ARQ) group supports global Bank businesses with analytical, quantitative, and risk management solutions. Operating from Mumbai, Gurugram, Hyderabad, Chennai, and GIFT, the Quants team within ARQ focuses on model development, governance, quantitative analysis, and designing platforms for various verticals of Bank of America. Job Description We are seeking a seasoned leader to manage the Global Financial Crime Modeling and Analytics (GFCMA) team within Global Risk Analytics (GRA). This role involves overseeing multiple sub-groups collaborating on model development and governance, including GFCMA, Global Markets risk, alternate modeling, data science models, economic data research, and model engineering. The ideal candidate should have hands-on experience in quantitative fields and managing highly qualified teams. Responsibilities The selected candidate will have the following responsibilities: - Conducting in-depth analysis of the Banks" risk model results using quantitative tools like back testing, benchmarking, and sensitivity analysis - Articulating the overall picture of model performance, including accuracy and areas needing remediation - Communicating model results to stakeholders such as risk management, model development, senior management, and regulators - Supporting model development by ensuring remediation of issues before implementation Requirements Education: - Bachelors/Masters or PhD in a quantitative field from top-tier institutes like IITs, NITs, Indian Statistical Institutes, etc. Certifications: FRM, CFA, CQF, etc. Experience Range: 12+ years Foundational skills: - Strong Quantitative and Leadership skills - Minimum of 5 years leading quantitative analysis or risk management teams - Advanced knowledge of statistical and machine learning methods, Python, SAS, SQL, and wholesale modeling - Experience in talent management, regulator interactions, and risk management - Excellent communication skills and attention to detail - Strong analytical and problem-solving skills - Inquisitive nature and ability to escalate issues Desired skills: - Proficiency in speaking, presentation, and influencing skills - Ability to produce high-quality technical documentation Work Timings 12.30pm to 9.30pm Job Location Chennai, Mumbai, Gurugram, Hyderabad,

As a Statistical Monitor at Novo Nordisk Global Business Services (GBS) India, you will play a crucial role in supporting Risk-Based Monitoring within Clinical Drug Development by operating and maintaining the centralized Statistical Monitoring function. Your responsibilities will include analyzing clinical data across trials and projects to detect unusual data patterns, systematic errors, and potential instances of non-compliance or fraud that may not be identified through routine monitoring processes. By safeguarding data integrity, you will contribute significantly to the approval of new drugs. You will work closely with trial and project teams, as well as data management and programming experts, to plan and execute statistical monitoring activities according to project timelines. Your role will involve communicating monitoring observations to relevant stakeholders, supporting the interpretation of data issues, and contributing to data correction and quality improvement efforts. Additionally, you will be responsible for the development, maintenance, and enhancement of statistical monitoring tools and methodologies, including exploring and implementing new techniques. To qualify for this position, you should hold a university degree in life science or engineering (e.g., B.Sc., MSc, MD) or equivalent. You are required to have at least 2 years of experience in the pharmaceutical industry, preferably with 1 year of experience in exploration and/or visualization of clinical trial data and scientific data. An understanding of clinical development, data flow, clinical research, GCP, basic statistical methods, and experience with SAS/JMP programming is essential. Moreover, familiarity with computer systems, IT, GxP guidelines within drug development, and reporting/publishing clinical/scientific data would be advantageous. Novo Nordisk is a leading global healthcare company with a rich legacy of driving change to combat serious chronic diseases. By joining us, you will become part of a collaborative team dedicated to impacting millions of patient lives daily. Our success is rooted in the diverse skills and perspectives of our employees, and we continuously strive to bring out the best in them. Together, we work towards something bigger than ourselves, making a collective effort to drive real, lasting change in health. If you are motivated by challenges, thrive in a dynamic environment, and have a can-do attitude with continuous improvement as one of your career objectives, then this position may be the right fit for you. Join our growing team at Novo Nordisk and contribute to our mission of being life-changing. Apply now and be a part of our journey to go further together.,

As a Senior Machine Learning Engineer, your primary role will involve designing, developing, and deploying advanced models for end-to-end content generation. This includes AI-driven image/video generation, lip syncing, and multimodal AI systems. Your focus will be on leveraging cutting-edge deep generative modeling techniques to produce highly realistic and controllable AI-generated content. You will be responsible for researching and developing state-of-the-art generative models, such as Diffusion Models, 3D VAEs, and GANs, to power AI-driven media synthesis. Additionally, you will work on building and optimizing AI pipelines for high-fidelity image/video generation and lip syncing using diffusion and autoencoder models. Your expertise will also be utilized in developing advanced lip-syncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. In addition to model development, you will implement and optimize models for real-time content generation and interactive AI applications. Collaboration with software engineers to efficiently deploy models on cloud-based architectures (AWS, GCP, or Azure) will be a key aspect of your role. Staying updated on the latest trends in deep generative models, diffusion models, and transformer-based vision systems will be essential to enhance the quality of AI-generated content. Your responsibilities will include designing and conducting experiments to evaluate model performance, improve fidelity, realism, and computational efficiency. Participation in code reviews, enhancing model efficiency, and documenting research findings for team knowledge-sharing will also be part of your duties. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, along with at least 3 years of experience working with deep generative models. Proficiency in Python and deep learning frameworks like PyTorch is required. Expertise in multi-modal AI, text-to-image, image-to-video generation, and audio to lip sync is essential. A strong understanding of machine learning principles, statistical methods, and problem-solving abilities are also necessary. Additionally, experience with transformers, vision-language models, cloud-based AI pipelines, and model compression techniques is advantageous. Contributions to open-source projects or published research in AI-generated content, speech synthesis, or video synthesis will be beneficial. This position offers a dynamic opportunity to work on cutting-edge AI technologies and collaborate with a team of experts in the field. If you are passionate about pushing the boundaries of AI-generated content and staying at the forefront of AI advancements, this role is ideal for you.,

As an experienced Data Scientist with expertise in Machine Learning and NLP/GenAI, you will have the exciting opportunity to join our dynamic team and work on challenging data science projects that have a significant impact on our client outcomes. Your key responsibilities will include leading and growing client accounts with onshore stakeholders, managing the accounts delivery team focused on data science and AI, preparing responses for Request for Proposal and Request for Information, developing quick Proof of concepts for client visits and demos, implementing advanced machine learning models and GenAI based solutions in client projects, and ensuring solid understanding of NLP from transformers to the new generation LLMs. In addition, you will be required to develop and maintain documentation for models, processes, and code to ensure reproducibility and knowledge sharing, as well as effectively communicate results and insights to both technical and non-technical stakeholders. For qualifications, you should hold a Bachelors or Masters degree in computer science, Statistics, Mathematics, Data Science, Economics or a related field. You should possess strong skills in Python, SQL, API and backend integration, code version control, in-depth knowledge of machine learning algorithms and statistical methods used in client engagements, and hands-on experience with Retriever Augmented Generations and Agentic Frameworks. Moreover, you should have hands-on experience with time series forecasting models such as ARIMA, SARIMA, Exponential Smoothing, Prophet, LSTM, and others, code version control, docker-based model deployment knowledge, and familiarity with at least one cloud provider among Azure, GCP, or AWS. Your ability to manage multiple projects and meet tight deadlines in a fast-paced environment, willingness to adapt to new technologies, strong analytical and problem-solving skills, attention to detail, and excellent communication skills will be crucial for success in this role. With 14-20 years of experience, you are well-positioned to excel in this challenging and rewarding opportunity.,

You will be involved in building a machine learning-based anomaly detection system using structured and sequential sensor data. Your main task will be to identify unusual patterns or faults through data modeling and visualization. This internship will provide you with a real-world opportunity to work on machine learning pipelines and understand both supervised and unsupervised approaches to anomaly detection. During this phase, you will focus on offline/static modeling using historical sensor data in tabular and time-series formats. Your primary objectives will include analyzing sensor datasets representing various operational scenarios, applying and evaluating supervised classification models, transitioning into unsupervised anomaly detection approaches, visualizing insights, and documenting findings for technical and non-technical audiences. Your key responsibilities will involve performing data preprocessing tasks such as cleaning, encoding, normalization, and feature engineering. Additionally, you will be required to train and evaluate classification models using Artificial Neural Networks (ANN) and Long Short-Term Memory (LSTM) models for sequence-based classification. You will also explore and implement unsupervised anomaly detection techniques like Isolation Forest, One-Class SVM, and Z-score or IQR-based statistical methods. Analyzing and visualizing model outputs using confusion matrices, anomaly heatmaps, and time-series plots will also be part of your responsibilities. Optionally, you may also be tasked with building a lightweight dashboard (e.g., using Streamlit) to present findings. TechnoExcel is the leading training and consulting company in Hyderabad offering data analytics solutions.,

The job objective for the Data Analyst GFM role is to support the Treasury & Markets (T&M) data analytics capability. You will be responsible for sourcing, compiling, designing, and analyzing T&M's structured and unstructured data into a data model framework. This will enable the identification of potential business opportunities, process inefficiencies, and overall business trends. You will collaborate with the Data Analytics team across geographies to assess business needs and identify opportunities to apply data analytics within T&M teams. In this role, you will assist in defining the analytical strategy, including approaches, data, and technology requirements. Prioritizing the workload based on revenue impact and achieving the yearly data revenue targets set for the market will be a key accountability. Additionally, you will streamline data deliverables in coordination with multiple business stakeholders across the bank to align with the VUCA business environment. Your responsibilities will include data back-end tasks such as data extraction, transformation, loading, and data cleansing using various techniques. Utilizing machine-learning, deep learning, and statistical methods, you will develop advanced data analytics models to uncover patterns and predict business leads and risk events under various scenarios. Furthermore, you will create effective data visualizations using BI tools like Tableau, MS Power BI, and Qlik suite to present key findings to senior management and stakeholders with actionable insights. The ideal candidate should have a general understanding of Financial Markets, particularly Equity, FX, Credit, and Interest Rate products. Strong problem-solving skills, attention to detail, and a creative mindset are essential for this role. Hands-on experience in Python and/or R, SQL, or other statistical program languages is required, along with familiarity with commercial statistical analytics tools like SAS and SPSS. Proficiency in data visualization tools, especially Tableau, is preferred. The ability to work independently, multitask effectively, and manage projects efficiently is crucial. Strong interpersonal and organizational skills, along with a good command of English, are necessary for success in this role. If you have a can-do attitude and meet the requirements mentioned above, we encourage you to apply for this position. Join our dynamic environment that offers a competitive salary, benefits package, and professional growth opportunities.,

We are looking for a curious and analytical Data Science Intern to join our data-driven team. This internship offers a great opportunity to work on real-world data projects, apply statistical methods, and acquire hands-on experience with data analysis and machine learning techniques. If you are passionate about data and keen to learn, we are interested in hearing from you! Your responsibilities will include assisting in collecting, cleaning, and analyzing large datasets. You will also be involved in developing predictive models, performing statistical analysis, and collaborating with team members to interpret data and derive insights. Additionally, you will support the creation of data visualizations and reports. Preferred experience for this role ranges from 0 to 5 years. This position is based in Mohali. If you are enthusiastic about data science and eager to contribute to meaningful projects, we encourage you to apply for this internship.,

As a Manager or Senior Manager in the Strategic Forecasting role at Genpact, you will be responsible for developing short and long-term forecast models in the pharmaceutical industry. Your main tasks will include maintaining forecast models to reflect current data, seeking key business issues that impact product and market forecasts, and incorporating primary research results into forecast models. You will collaborate with client partners to anticipate risks and opportunities, implement new market trends and innovations, and drive automation of existing systems to enhance forecasting accuracy and efficiency. In this position, you will work closely with the Forecasting Center of Excellence to ensure objectivity of brand/therapeutic area forecasts, develop brand volume forecasts, conduct sensitivity analysis for risk management, and provide strategic insights on portfolio and brand strategy. You will also be responsible for reviewing sales performance, collaborating with internal and external partners to acquire relevant data, and presenting forecast approaches and methodologies at the executive level. Additionally, you will lead initiatives for new forecast approaches and methodologies, focus on analytics to drive improvement opportunities, and stay updated on leading analytic capabilities in the pharmaceutical industry. To qualify for this role, you should have a Master's degree in Pharmacy, Business Administration, Statistics, Data Science, Applied Mathematics, or a related quantitative field. You should also have 4-6 years of experience in pharma forecasting, analytical experience in the healthcare and life sciences industry, and expertise in forecasting techniques and models. Proficiency in tools and techniques such as SQL, Tableau, Alteryx, and machine learning/statistical learning concepts is required. Experience with large datasets, patient modeling approaches, and analytical tools like Python/R is preferred. Strong communication skills, proactive mindset, and the ability to work independently and deliver results in demanding situations are essential for success in this role. If you are a proactive planner with a passion for seeking new challenges and driving continuous innovation in forecasting, we encourage you to apply for the Senior Manager position at Genpact in Pune, India. This is a full-time role that requires a Master's degree or equivalent education level. The job posting date is Oct 7, 2024, and applications are ongoing.,

As a Machine Learning Expertise, you will be responsible for developing and implementing machine learning algorithms for tasks such as pattern recognition, classification, and prediction. Your role will involve designing and building robust neural network architectures for various applications. Utilizing statistical methodologies to analyze data, optimize model performance, and ensure model interpretability will be a key aspect of your responsibilities. It will also be essential to stay up-to-date on the latest advancements in machine learning research and explore new techniques to enhance our AI capabilities. In the domain of Software Development & Tools, you should demonstrate proficiency in the Python programming language and be familiar with machine learning libraries/frameworks such as TensorFlow, PyTorch, and scikit-learn. Experience with SQL for data access and manipulation to support model development is required. Additionally, utilizing cloud platforms and tools for efficient model training, deployment, and management would be considered advantageous. Your role will also involve Data Analysis & Modeling, where you will collaborate with data scientists and engineers to understand business needs and translate them into technical requirements for AI models. Tasks such as cleaning, pre-processing, and preparing data for machine learning will be part of your routine. Evaluating and interpreting the performance of machine learning models, along with making adjustments for continuous improvement, will be crucial. In terms of Technical Skills & Background, having a strong foundation in computer science principles and algorithms is essential. You should have proven experience in applying statistical methods for data analysis and model optimization. To be considered for this position, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A minimum of 5 years of experience in machine learning engineering or a relevant field is required. Expertise in pattern recognition and neural network architectures, proficiency in Python, SQL, and machine learning tools, as well as strong analytical and problem-solving skills are prerequisites. Excellent communication and collaboration skills are highly valued, and experience in the AI/ML industry is a plus, though not mandatory.,

The main objectives of this position involve leading and developing the AP, AR, GL, treasury, and IT functions while managing finance for 9 countries. It requires recording the financial status and monitoring the company's progress from a management and financial accounting perspective. Responsibilities include managing Finance & Accounting, ensuring deadlines are met, preparing and analyzing financial results, supporting management on tasks and special projects, and providing timely financial operating data for informed decision-making. Enhancing organizational efficiency, ensuring compliance, handling audits professionally, and reporting operational budgets and actual costs are key duties. For AP/AR/GL functions, responsibilities include managing these functions for all entities, improving accounting processes, maintaining necessary controls, supporting strategic decision-making, managing budgeting and forecasting, participating in projects, and ensuring reporting accuracy to relevant stakeholders. Regarding IT management, responsibilities involve overseeing the IT team, managing budgets, maintaining actuals, and ensuring team efficiency. Team management responsibilities include selecting, training, developing, and motivating the team, creating backup plans, and tracking team performance. Qualifications and technical job requirements include a minimum professional qualification in accounting, knowledge of accounting standards (especially IFRS), 15 years of experience (preferably in the shipping industry), team management expertise, exposure to ERP systems (specifically SAP), and strong Excel skills. The success criteria for this position include effective communication and organizational skills, management capabilities, proactive and communicative nature, proficiency in English, time management skills, ability to interact with other functions, systematic work approach, clear presentation of complex information, knowledge in statistical methods, analytical and independent work style, positive attitude, proactive attitude, energetic team spirit, enthusiasm, and commitment to tasks.,

As a QA/QC Manager in the sheet metal stamping industry located in Pune chakan, your role will require a DME/BE/MBA or relevant field education with 6-8 years of experience. You will specialize in progressive tooling and stamping for automotive, electrical, and white goods parts. Your responsibilities will include but are not limited to: - Demonstrating proven experience as a quality assurance manager or in a relevant role. - Applying knowledge of methodologies of quality assurance and standards. - Utilizing excellent numerical skills and understanding data analysis/statistical methods. - Implementing knowledge of core tools such as APQP, PPAP, FMEA, MSA & SPC. - Proficiency in MS Office and databases. - Exemplifying outstanding communication skills. - Having great attention to detail and a results-driven approach. - Exhibiting excellent organizational and leadership abilities. - Being reliable and trustworthy. - It is considered a strong advantage to possess a certification of quality control, specifically IATF-16949:2016. This is a full-time position with benefits including Provident Fund. The work schedule is during the day shift. You should be willing to commute or relocate to Pune, Maharashtra, before starting work. The preferred experience for this role includes 8 years in APQP, PPAP, FMEA, MSA SPC, QA/QC, QA, Quality Assurance, Automotive, Automobiles, and 10 years in IATF-16949:2016. The work location is in person.,

Job Title: Functional Data Analyst Electrical Domain Location: Mumbai / Pune Experience: 2+ yrs Job Summary: We are seeking a highly analytical and detail-oriented Functional Data Analyst with a strong background in Electrical Engineering and expertise in the Electric Domain . The ideal candidate will have experience working with power systems, grid infrastructure, or electrical distribution networks and will be responsible for leveraging data analytics to drive operational efficiency and decision-making. Key Responsibilities: Analyze and interpret electrical system data, including power distribution, grid performance, and asset utilization. Work closely with business and technical teams to define data requirements and ensure accurate data collection. Develop dashboards, reports, and visualizations to support business intelligence and decision-making. Identify patterns, anomalies, and insights from large datasets related to power grids, electrical assets, and energy consumption. Collaborate with engineers and stakeholders to optimize electrical operations through data-driven strategies. Ensure data quality, validation, and consistency across multiple sources. Utilize statistical models, machine learning techniques, and analytical tools to predict electrical system failures and inefficiencies. Support regulatory compliance and reporting requirements using data analytics. Required Skills & Qualifications: Bachelors/Masters degree in Electrical Engineering, Power Systems, or a related field . Proven experience in data analysis within the electrical or power sector . Proficiency in SQL, Python, or other data analysis tools. Hands-on experience with BI tools (Power BI, Tableau, or similar). Knowledge of electrical grid operations, SCADA, smart meters, and energy management systems. Strong understanding of statistical methods and predictive analytics. Excellent problem-solving skills and the ability to translate technical data into business insights. Strong communication and stakeholder management skills. Why Join Us? Opportunity to work in a high-growth, technology-driven environment . Contribute to cutting-edge projects in the electric power industry . Competitive salary, benefits, and career growth opportunities. If you are passionate about data analytics and the electrical domain , we encourage you to apply!

Primary responsibilities include, but are not limited to: Responsible for one/multiple therapy areas - demonstrating good pharmaceutical knowledge and project management capability. Responsible for conceptualizing and delivering forecasts and analytical solutions, using both strategic as we'll as statistical techniques within area of responsibility. Drive continuous enhancements to evolve the existing forecasting capabilities in terms of value-add, risk/opportunity/uncertainty- identify and elevate key forecastinglevers/insights/findingsto inform decision making. Collaborate across stakeholders -our Manufacturing Division, Human Health, Finance, Research, Country, and senior leadership - to build and robust assumptions, ensuring forecast accuracy improves over time to support decision making. Drive innovation and automation to bring in robustness and efficiency gains in forecasting/process; incorporate best-in-class statistical forecasting methods to improve the accuracy. Communicate effectively across stakeholders and proactively identify and resolve conflicts by engaging with relevant stakeholders. Responsible for delivery of forecasts in a timely manner with allocated resources Determine the optimal method for forecasting, considering the context of the forecast, availability of data, the degree of accuracy desired, and the timeline available. Contribute in evolving our offerings through innovation, standardization/ automation of various offerings, models and processes Qualification and skills: Engineering / Management / Pharma post-graduates with 3+ years of experience in the relevant roles; with 1-2 years of experience in pharmaceutical strategic forecasting or analytics Proven ability to work collaboratively across large and diverse functions and stakeholders. Ability to manage ambiguous environments, and to adapt to changing needs of business. Strong analytical skills; an aptitude for problem solving and strategic thinking. Working knowledge of Monte Carlo simulations and range forecasting Ability to synthesize complex information into clear and actionable insights. Proven ability to communicate effectively with stakeholders. Solid understanding of pharmaceutical development, manufacturing, supply chain and marketing functions

We are looking for a team member withinstrategicforecasting team based out of Pune. Robust forecasting is a priority for businesses, as the product potential has major implicationstoa wide range of disciplines. Whileforecasting ofrealistic potential can bearrivedthrough both qualitative and quantitative methods, the challenge lies in selecting and deploying the rightmethodology. Thus, it is essential to have someone who understands and aspires to implement advanced analytics techniques such as Monte Carlo simulations, agent-based modeling, conjoint frameworks, NLP, clustering etc within forecasting vertical. Primary responsibilities include, but are not limited to: Responsible forone/multiple therapy areas -demonstratinggood pharmaceutical knowledge and project management capability Responsible forconceptualizing anddeliveringforecasts and analytical solutions, using both strategic as we'll as statistical techniqueswithin area of responsibility Drive continuous enhancements to evolve the existing forecasting capabilities in terms of value-add, risk/ opportunity/uncertainty -identifyand elevate key forecasting levers/insights/findings to inform decision making Collaborate across stakeholders -our Manufacturing Division, Human Health, Finance,Research,Country, and senior leadership - tobuildandrobust assumptions,ensuring forecast accuracy improves over time to support decision making Drive innovation and automation to bring inrobustness andefficiency gainsinforecasting/process; incorporate best-in-class statistical forecasting methods to improve theaccuracy Communicate effectively across stakeholders and proactivelyidentifyand resolve conflicts by engaging with relevant stakeholders Responsiblefordelivery of forecastsin a timely mannerwithallocatedresources Determinetheoptimalmethod for forecasting, considering the context of the forecast, availability of data, the degree of accuracy desired, and the timeline available Contributeinevolving our offerings throughinnovation,standardization/ automation of various offerings,modelsand processes Qualification and skills: Engineering / Management / Pharmapost-graduates with3+years of experience in the relevantroles; with1-2years of experience inpharmaceuticalstrategicforecastingor analytics Proven ability to work collaboratively across large and diverse functions and stakeholders Ability to manage ambiguous environments, and to adapt to changing needs of business Strong analytical skills; an aptitude for problem solving and strategic thinking Working knowledge ofMonte Carlo simulations and range forecasting Ability to synthesize complex information into clear and actionable insights Proven ability to communicate effectivelywithstakeholders Solid understanding of pharmaceutical development, manufacturing, supply chain and marketing functions

Description We are seeking a Scheduling and Forecasting Lead to join our team in India. The ideal candidate will be responsible for overseeing scheduling and forecasting activities, ensuring that projects are delivered on time and resources are effectively utilized. Responsibilities Develop and implement scheduling and forecasting processes to optimize resource allocation and workload management. Analyze historical data to create accurate forecasts for project timelines and resource needs. Collaborate with cross-functional teams to understand project requirements and adjust schedules accordingly. Monitor and report on scheduling performance metrics, identifying areas for improvement. Provide training and support to team members on scheduling tools and best practices. Skills and Qualifications Bachelor's degree in Business Administration, Operations Management, or a related field. 5-7 years of experience in scheduling, forecasting, or project management. Proficiency in scheduling software (e.g., Microsoft Project, Primavera) and data analysis tools (e.g., Excel, SQL). Strong analytical skills with the ability to interpret complex data and make informed decisions. Excellent communication and interpersonal skills to work effectively with team members and stakeholders.

Position Purpose The main mission of this position will be to leverage data analytics and machine learning techniques to enhance financial decision-making, optimise processes, and mitigate risks . This involves analysing large datasets to uncover insights, developing predictive models to forecast financial trends, and creating data-driven strategies to improve efficiency and profitability. This also includes a capacity to proactively propose axes of improvement of F&S processes through data-driven solutions. Responsibilities Analysing large datasets to identify trends, patterns, and insights that can inform business decisions Designing and developing Predictive (Machine Learning) models Finding, managing and using the most appropriate data sources for modelling purposes Working with expert colleagues and business representatives to examine the results and keep models grounded in reality Documenting each step of the development and informing decision makers by presenting them options and results Ensuring correct implementation of the tools (together with the IT department - FRS) Continuously assessing models by means of back-testing Timely tracking of the deliverables against agreed timeline and budget Arrange smooth go-live implementation and provide post go-live support Present project status regularly to senior management Build and maintain a trusted relationship with all F&S stakeholders across different functions (PMO, IT, finance users, operation teams) Technical & Behavioral Competencies At least 5 years of experience in Machine learning algorithms, Frameworks and industrialisation: Master Degree or higher in Mathematics, Physics, Statistics, Computer science, Data Science or similar background where analytics and figures prevail Degree in Accounting / Finance is a plus Proficiency in programming languages such as Python and R Proficiency in data science tools and environments, such as Jupyter Notebooks and Git Good knowledge of SQL Knowledge of Data Visualisation solution(s) Strong understanding of statistical methods and concepts Having at least sound knowledge of Finance processes and/or systems is a plus Experience of working in Global work environment across cultures appreciated Experience with database management systems Experience with machine learning algorithms and frameworks (professional/academic) Experience in machine-learning models industrialisation Strong listening skills, strong interpersonal skills and a strong cross-functional cooperation between teams Rigorous and dynamic, you like human contact, work as a team and have an excellent organization ability Knowledge of Banking and Financial services Good communication (oral and written), organisation and documentation skills Ability to adapt to change and proficient in problem solving. Capability to work and interact with various people of different expertise and level. Client oriented Collaborative worker & team player Skills Referential Behavioural Skills : (Please select up to 4 skills) Communication skills - oral & written Ability to synthetize / simplify Creativity & Innovation / Problem solving Ability to deliver / Results driven Transversal Skills: (Please select up to 5 skills) Ability to set up relevant performance indicators Analytical Ability Ability to develop and adapt a process Ability to develop and leverage networks Ability to manage / facilitate a meeting, seminar, committee, training Education Level: Bachelor Degree or equivalent Other/Specific Qualifications (if required) Language: Fluent English, French is a plus

Role & responsibilities Lead the SQE/ IQC team and ensure the team performance to meet the department goals Identify the strength & weakness of team members. Define the job responsibilities to the team. Plan the training programmes for the team as per requirement Supplier Performance : Implement rigorous qualification processes, ensuring that selected suppliers meet performance standards Build and nurture positive relations with suppliers driving performance improvements to ensure product quality. Track supplier KPIs and performance trends identifying areas for improvement. Outcomes to be evaluated through metrics such as supplier yield, field defect rate, supplier quality plan engagement/effectiveness & corrective and preventative action closure. Conduct regular supplier audits & closing of open points on time Lead the SQE team to taken up the supplier complaints with respective suppliers. Ensure the on time closing of supplier concerns with 8D. Review the supplier 8D and ensure the CAPA is effective Conduct root cause analysis for recurring problems with supplier and implement targeted process improvement solutions that improve the quality. Preferred candidate profile Experience in Supplier Quality department in manufacturing level. B.E Mechanical / Electrical Engineering 10 - 12 years of Industry experience with Strong technical background on Stamping, Moulding, plating, assembly. Preference: Connector manufacturing industries Substantial experience in supplier development. Experience dealing with suppliers. Experience in developing and implementing vendor qualifications. Strong knowledge of Production Part Approval Process (PPAP), Failure Mode and Effect Analysis (FMEA) , Control plan etc. Good leadership skills Understanding and interpretation of engineering drawings and related manufacturing processes Excellent computer skills Excel, Microsoft Word, PowerPoint, ERP Knowledge like QAD/Macola. Ability to travel towards vendor sites most of the time. Strong knowledge in Stamping, Plating & Molding operations & components Good knowledge in GD & T