53 Statistical Methods Jobs

The ideal candidate for this role should hold an MBA (full time) from esteemed institutions such as NITIE & IIMs, along with a B Tech (Full time) degree. With a minimum of 4-8 years of experience in Demand & Supply planning, you will be tasked with identifying demand patterns utilizing statistical methods and AIML based tools, and making necessary adjustments to forecasts. Additionally, experience in new process or system implementation would be beneficial for this position.,

Goldman Sachs Strats is a world leader in developing quantitative models and technologies to solve complex business problems across various divisions such as trading, sales, banking, and asset management. As an Investment Banking Strat, you will utilize your mathematical and scientific training to create financial products, advise clients on transactions, measure risk, and identify market opportunities. You will be involved in marketing, structuring, pricing, and executing transactions for large corporations and institutions in the capital markets and M&A. As part of the Investment Banking M&A Quant Advisory team in Bengaluru, you will work on solving business problems using large and complex financial datasets, collaborating with Investment Bankers in different industries and regions. You will develop innovative client analytics for M&A deals, utilize machine learning and big data analysis tools, and create proprietary targeting solutions. Key Responsibilities: - Develop quantitative and analytical methods for targeting new transaction opportunities. - Provide solutions for internal and external clients, covering deal performance analysis, competitor analysis, and deal execution strategy. - Create tools to make data and analytics accessible to internal users. - Program in Python or other languages using machine learning and statistical methods. - Curate datasets from multiple vendors to serve analytics and business purposes. - Generate reports, analyses, and alerts for internal management, business monitoring, risk management, and opportunity targeting. Basic Qualifications & Skills: - Bachelors or advanced degree in a quantitative/STEM discipline. - 2+ years of quantitative modeling and development experience. - Strong analytical and problem-solving abilities. - Proficient in Python and data querying languages like SQL and MongoDB. - Excellent oral and written communication skills. - Strong interest in finance, investment banking, and capital markets. - Results-oriented work ethic and ability to work in a team. Preferred Qualifications: - Experience in M&A and/or Capital Markets. Goldman Sachs is committed to fostering diversity and inclusion in the workplace, providing growth opportunities for individuals, and offering various benefits and programs. If you require accommodations during the recruiting process, please learn more about our disability statement on our website. Join us at Goldman Sachs to be part of a leading global investment banking firm dedicated to client success and professional development.,

As an HR Analyst (Data Analysis and Data Visualization) at Omnicom Global Solutions, you will be responsible for collecting and consolidating data from multiple platforms. Your role will involve creating visually appealing and informative dashboards, reports, and presentations to effectively communicate key findings to stakeholders. Omnicom Global Solutions is a crucial part of Omnicom Group, a global marketing and corporate communications company with networks and specialty firms providing services to clients in over 70 countries. In India, we offer stellar products and solutions in various areas including Creative Services, Technology, Marketing Science, Advanced Analytics, Market Research, and more. In this role, you will collect and consolidate data from platforms like Culture Amp, One Learning, Open Door, and Greenhouse to analyze trends related to employee engagement and satisfaction. You will use statistical methods and data analysis tools to derive insights, perform predictive analytics, and create visually appealing reports using tools like Tableau and Power BI. To excel in this role, you should have at least 3 years of experience in data analysis, preferably within HR or Employee Experience. Join us in our journey of growth and innovation as we work together to enhance employee engagement and experience.,

Join Amgen's Mission of Serving Patients At Amgen, you will be part of something bigger, driven by our shared mission to serve patients living with serious illnesses. Since 1980, Amgen has been a pioneer in the world of biotech, focusing on four therapeutic areas: Oncology, Inflammation, General Medicine, and Rare Disease, reaching millions of patients annually. As a member of the Amgen team, you will contribute to researching, manufacturing, and delivering innovative medicines that help people live longer, fuller, and happier lives. Our award-winning culture is collaborative, innovative, and science-based. If you are passionate about challenges and the opportunities they present, you will thrive as part of the Amgen team. Join us to make a lasting impact on patients" lives and transform your career. Data Scientist (US Value & Access Insights) In this vital role at Amgen, you will develop and deploy advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. Your responsibilities will include creating analytics solutions to address customer needs and opportunities. Roles & Responsibilities: - Ensuring that models are trained with the latest data and meet SLA expectations - Acting as a subject matter expert in solving development and commercial questions - Collaborating with a global cross-functional team on the AI tools roadmap - Working in technical teams on the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics - Utilizing technical skills such as hypothesis testing, machine learning, and retrieval processes for statistical and data mining techniques - Performing exploratory and targeted data analyses using descriptive statistics and other methods - Collaborating with technical teams to translate business needs into technical specifications, focusing on AI-driven automation and insights - Developing and integrating custom applications, intelligent dashboards, and automated workflows incorporating AI capabilities to enhance decision-making and efficiency What We Expect Of You Basic Qualifications: - Masters degree with 1 to 3 years of computer science, statistics, or STEM majors with at least 1 year of Information Systems experience - Bachelors degree with 3 to 5 years of computer science, statistics, or STEM majors with at least 2 years of Information Systems experience - Diploma with 7 to 9 years of computer science, statistics, or STEM majors with at least 2 years of Information Systems experience - Experience with analytic software tools or languages like R and Python - Strong foundation in machine learning algorithms and techniques - Experience in statistical techniques, hypothesis testing, regression analysis, clustering, and classification Preferred Qualifications: - Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow) - Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) - Outstanding analytical and problem-solving skills, ability to learn quickly, excellent communication and interpersonal skills - Experience with data engineering, pipeline development, NLP techniques for text analysis, sentiment analysis, time-series data analysis, forecasting, trend analysis, AWS, Azure, Google Cloud, Databricks platform for data analytics, and MLOps Professional Certifications: - Any AWS Developer certification (preferred) - Any Python and ML certification (preferred) Soft Skills: - Initiative to explore alternate technology and approaches to problem-solving - Skilled in breaking down problems, documenting problem statements, and estimating efforts - Excellent analytical and troubleshooting skills - Strong verbal and written communication skills - Ability to work effectively with global, virtual teams - High degree of initiative and self-motivation - Ability to manage multiple priorities successfully - Team-oriented, with a focus on achieving team goals What You Can Expect Of Us At Amgen, we support your professional and personal growth and well-being as we develop treatments to take care of others. We offer competitive benefits and a collaborative culture to support your journey every step of the way. Apply now for a career that defies imagination. Objects in your future are closer than they appear. Join us at careers.amgen.com. As an organization dedicated to improving the quality of life globally, Amgen fosters an inclusive environment of diverse, ethical, committed, and highly accomplished individuals who respect each other and live by Amgen values to advance science in serving patients. We ensure individuals with disabilities are provided reasonable accommodation throughout the job application process. Contact us to request accommodation.,

As a Data Analyst, your primary responsibility will be to gather relevant data from multiple sources, including internal databases, financial systems, and external research materials. It will be crucial for you to ensure the accuracy and integrity of the collected data. You will utilize statistical methods, data analysis tools, and research software to identify trends, patterns, and insights within the data. This may involve analyzing historical data, forecasting performance, and building models to support decision-making processes. Conducting thorough research on market trends, customer behavior, competitor activities, and industry developments will be an essential part of your role. By doing so, you will be able to identify opportunities and potential challenges that may impact the organization. Your responsibilities will also include preparing comprehensive reports and presentations that clearly communicate your findings, actionable recommendations, and insights to stakeholders, including management and other departments. Effective communication through reports and presentations is key to ensuring that your insights are understood and acted upon. Collaboration with cross-functional teams, such as marketing, finance, and product development, will be necessary to understand analytical needs and provide data-driven recommendations. Working closely with different departments will allow you to tailor your analyses to meet the specific requirements of each team. You will also be responsible for creating visualizations, such as charts and graphs, to effectively communicate complex data and research findings. Visual representations of data can help stakeholders grasp the insights more easily and make informed decisions based on the information presented. Please note that the age limit for this position is between 20 to 30 years. This is a full-time, permanent job opportunity suitable for freshers. The work location for this role is in person, requiring your presence at the designated office location.,

As a Specialist, Technical Business Analysis at Fiserv, you will be consulting with project teams and functional units to design important projects or services. You will provide support for existing business systems applications, demonstrating proficiency and leadership skills. Your role will involve efficiently balancing and prioritizing project work, utilizing data to offer insights and actionable recommendations that inform decision-making and strategy development. In this position, your expertise in data analysis, machine learning, and statistical modeling will be crucial. You will uncover insights and develop predictive models to enhance fraud rules. Collaborating with cross-functional teams, you will analyze large volumes of transactional data, identify patterns of fraudulent behavior, and enhance monitoring systems continuously. Effective communication is key, as you will interface with clients, vendors, and business partners periodically. To excel in this role, you will need a Bachelor's degree in Computer Science or Engineering, or relevant work experience. A background in IT development is required, along with a minimum of 5 years of experience in fraud analysis, investigations, or a related field - preferably in financial services or e-commerce. Proficiency in programming languages like Python or R for data analysis and model development, as well as familiarity with SQL for querying and managing relational databases, is essential. Sound knowledge of statistical methods and techniques, including regression analysis, clustering, time series analysis, and classification, is also necessary. Strong analytical skills are a must, enabling you to derive insights from complex datasets. Your ability to effectively communicate technical findings to non-technical stakeholders, work collaboratively in a fast-paced team environment, and present recommendations clearly is critical. Additionally, being self-motivated, proactive, and capable of working both independently and collaboratively is essential for success in this role. It would be advantageous to have knowledge and experience with JIRA, Service Point, and Confluence products. Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, Keras) and data manipulation libraries (e.g., Pandas, NumPy) would also be beneficial. Thank you for considering employment with Fiserv. To apply, use your legal name and complete the step-by-step profile, attaching your resume. Fiserv is committed to Diversity and Inclusion, and does not accept resume submissions from agencies outside of existing agreements. Be cautious of fraudulent job postings not affiliated with Fiserv, and ensure that communications from Fiserv representatives come from legitimate email addresses.,

You are seeking a results-driven Quality Control (QC) Lead with a strong background in developing both manual and automated testing protocols to ensure the highest quality of software products. You excel at estimating, planning, and coordinating comprehensive testing activities, as well as identifying, documenting, tracking, and efficiently resolving quality issues and defects. Your role involves participating in Sprint planning and product-grooming meetings to understand, analyze, and influence the application/service/system to be tested. As a QC Lead, you will be responsible for identifying risks, determining appropriate test coverage, and developing test plans and cases for new features and regression testing. You will play a key role in enhancing efficiency by implementing systems and processes to automate testing where possible. Your attention to detail, observation, organizational, and leadership skills will be crucial in analyzing and resolving issues found during testing. Additionally, you will promote a collaborative spirit across teams and individuals, working closely with Development and Product Management teams to diagnose and address any issues. Your technical and IT skills, along with your ability to manage Scrum Meetings, Client Meetings, and a team of QA engineers, will be essential in leading standup meetings with the QA team. Your qualifications include: - 7+ years of QA experience with test plan execution - 3+ years of Team Lead experience - Knowledge of script programming - Strong understanding of software development life cycle and methodologies - Proficiency in manual and automated software testing - Experience with test automation tools and frameworks - Problem-solving skills and attention to detail - Excellent communication and collaboration abilities - Adaptability in a fast-paced environment - Familiarity with tools like Jira, bug tracking, release planning, and coding skills - Expertise in writing clear and comprehensive test plans and cases - Hands-on experience in building automated regression testing capabilities - Passion for process automation and software quality - In-depth knowledge of quality control procedures and legal standards - Strong background in mathematics, data analysis, and statistical methods - Experience in ERP or HRMS is an added advantage Qualifications required for this role: - Bachelor's degree in Computer Science, Engineering, or a related field Join us at Masthead Technologies, a Product & Service based company, known for providing bespoke development services to the tech community since 2015. Our work culture emphasizes Communication, Creativity, and Collaboration, where every employee is valued for their contribution to bringing client ideas to life. If you are a team player, independent thinker, and self-learner who is passionate about software quality and automation, we look forward to hearing from you. For more information, visit our website: www.mastheadtechnologies.com.,

The ideal candidate for this role should possess an MBA (full time) and B Tech (full time) degree along with 5-8 years of experience in Demand Planning. Your primary responsibilities will include identifying demand patterns using statistical methods and AIML based tools, as well as adjusting forecasts accordingly. Additionally, you will be leading and coordinating the Sales and Operations Planning (S&OP) process. In this position, you will play a crucial role in maintaining a well-functioning supply chain, meeting customer demands, and optimizing inventory levels and operational costs.,

As a Process Development Chemist, you will be responsible for designing and conducting experiments to create new chemical processes and enhance existing ones. You will scale up laboratory procedures to pilot and production levels, ensuring scalability and reproducibility. Analyzing current processes, identifying areas for enhancement, and implementing modifications to boost efficiency, yield, and safety will be a key aspect of your role. Utilizing statistical methods and tools to assess process performance will be crucial. You will collaborate closely with cross-functional teams, such as R&D, quality assurance, production, and regulatory affairs, to seamlessly integrate processes. Providing technical support and expertise to production teams will be essential. Additionally, you will prepare detailed documentation for processes, including protocols, reports, and standard operating procedures (SOPs), while ensuring compliance with safety, environmental, and quality standards. In the event of issues during production, you will investigate and resolve them promptly to minimize downtime. Conducting root cause analysis and implementing corrective actions will be part of your troubleshooting responsibilities. Staying updated on the latest advancements in chemical processes and technologies, and evaluating and recommending the use of new tools and technologies to enhance process performance will be vital for research and development. To qualify for this role, you should hold a Bachelors or Masters degree in Chemistry, Chemical Engineering, or a related field, along with years of experience in chemical process development or a related area. A strong understanding of chemical reactions, kinetics, thermodynamics, and safety regulations is required. Proficiency in analytical techniques such as HPLC, GC, NMR, and others relevant to process chemistry is essential. Excellent problem-solving skills, attention to detail, and strong communication and teamwork abilities are desired qualities. This is a full-time, permanent position with benefits such as provided food, paid sick time, and Provident Fund. The work schedule may involve day shifts or rotational shifts, with the work location being in person.,

The Bioinformatics Scientist position requires a candidate with expertise in single-cell transcriptomics and multi-omics analysis to develop AI-driven solutions using Elucidatas platform. As a Bioinformatics Scientist, you will be responsible for utilizing your knowledge of biology and computational methods to analyze omics data, extract valuable insights, and assist clients in solving complex biological challenges. This role is suitable for individuals who excel at the convergence of biology, data science, and client engagement, possessing strong communication abilities and a dedication to advancing life science research through data. Your primary responsibilities will include interpreting biological problem statements and multi-omics data to create compelling scientific presentations and scalable solutions. You will be expected to analyze various biological data types (genomics, transcriptomics, proteomics, metabolomics) using advanced statistical techniques, with a specific emphasis on single-cell transcriptomics. Additionally, you will play a key role in innovating and enhancing tools, pipelines, and algorithms for multi-omics data analysis and visualization. Collaborating with a diverse team of ML specialists, data scientists, and bioinformatics engineers, you will translate customer needs into innovative solutions while working closely with technical owners and solution managers to drive account growth and maintain customer relationships. The ideal candidate should hold a PhD or Master's degree in Bioinformatics, Computational Biology, Biotechnology, or a related technical field, with proven experience in processing and analyzing multi-omics data, particularly single-cell transcriptomics data. Proficiency in programming languages like Python or R is essential, along with practical experience in applying computational algorithms and statistical methods to large and varied data sets. A successful track record of collaboration and individual work, coupled with excellent communication and presentation skills, are also crucial for this role. Desirable qualifications for this position include familiarity with cloud technologies and scalable computing platforms, as well as experience in AI/ML applications for biomedical data analysis and prior involvement in customer collaboration and project delivery.,

As a Senior Machine Learning Engineer at TrueFan, you will be at the forefront of AI-driven content generation, leveraging cutting-edge generative models to build next-generation products. Your mission will be to redefine the content generation space through advanced AI technologies, including deep generative models, text-to-video, image-to-video, and lipsync generation. Your responsibilities will include designing, developing, and deploying cutting-edge models for end-to-end content generation. This will involve working on the latest advancements in deep generative modeling to create highly realistic and controllable AI-generated media. You will research and develop state-of-the-art generative models such as Diffusion Models, 3D VAEs, and GANs for AI-powered media synthesis. Additionally, you will build and optimize AI pipelines for high-fidelity image/video generation and lipsyncing using diffusion and autoencoder models. Furthermore, you will be responsible for developing advanced lipsyncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. Your role will also involve implementing and optimizing models for real-time content generation and interactive AI applications using efficient model architectures and acceleration techniques. Collaboration with software engineers to deploy models efficiently on cloud-based architectures will be a key aspect of your work. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, along with 3+ years of experience working with deep generative models like Diffusion Models, 3D VAEs, GANs, and autoregressive models. Proficiency in Python and deep learning frameworks such as PyTorch is essential. Strong problem-solving abilities, a research-oriented mindset, and familiarity with generative adversarial techniques are also required. Preferred qualifications include experience with transformers and vision-language models, background in text-to-video generation and lipsync generation, expertise in cloud-based AI pipelines, and contributions to open-source projects or published research in AI-generated content. If you are passionate about AI-driven content generation and have a strong background in generative AI, this is the perfect opportunity for you to drive research and development in AI-generated content and real-time media synthesis at TrueFan.,

As a Team Member - Credit Risk Analyst in the Risk Management department based in Mumbai, your main responsibility will be to analyze, model, validate, and document various measures of Credit Risk for Expected Credit Loss and Capital computations. You should have hands-on experience in building, implementing, monitoring, and refining models and scorecards for PD, LGD, EAD, and related Credit Risk metrics using statistical methods or expert judgment based techniques. Your role will require a deep understanding of Credit Risk models and the ability to derive insights from data, communicate effectively with Risk, Credit, and Business teams, and develop Risk Dashboards and analytical reports for Senior Management. You will also be responsible for preparing and submitting reports to regulators and senior management on a periodic and adhoc basis, computing and reporting ECL and related metrics continuously. To excel in this role, you should have 4 to 8 years of experience in Credit Risk related roles in Banks, NBFCs, Consulting Firms, or Rating Agencies. A degree in statistics, mathematics, or econometrics with hands-on experience in statistical model development and implementation would be an advantage. Proficiency in Python, SAS, or R, along with intermediate level SQL skills, is desirable. Strong experience in areas like delinquency or loan loss forecasting and expected credit loss capital computation under advanced approaches is also necessary. Moreover, having skills in automation and data consolidation for risk or financial reporting projects would be beneficial. CA or MBA with FRM certification, understanding of various credit types, proven management and supervisory skills, excellent interpersonal and communication skills, and advanced excel skills are also required for this role. Experience with Python, SQL, or SAS would be an added advantage.,

As a Quality Control (QC) Lead at Masthead Technologies, you will play a crucial role in ensuring the highest quality of software products through the development of both manual and automated testing protocols. Your extensive experience will enable you to identify, document, track, and efficiently resolve quality issues and defects. You will be responsible for estimating, planning, and coordinating comprehensive testing activities to validate new features, regression, and develop test plans and cases. Your key responsibilities will include identifying risks and appropriate test coverage, developing systems and processes to increase efficiency, and identifying areas suitable for automation. You will actively participate in Sprint planning and product-grooming meetings to understand, analyze, and influence the application/service/system to be tested. Your strong attention to detail, observation, organizational, and leadership skills will be essential in promoting a spirit of collaboration across teams and individuals. You will be expected to analyze and identify issues found during testing, collaborating with Development and Product Management teams to diagnose and resolve them effectively. Understanding the business aspects and customer usage of the system will be crucial in ensuring the system performs as intended. Your technical and IT skills will be put to use as you manage Scrum Meetings, Client Meetings, and a team of QA engineers. Leading standup meetings with the QA team will be part of your regular responsibilities. To excel in this role, you should possess 7+ years of QA experience, including writing and executing test plans, as well as 3+ years of Team Lead experience. Knowledge of script programming, a strong understanding of software development life cycle (SDLC) and methodologies (Agile, Scrum, etc.), and proven experience in both manual and automated software testing are required. Proficiency in test automation tools and frameworks, excellent problem-solving skills, and attention to detail are essential qualities. Your ability to communicate effectively, collaborate with others, thrive in a fast-paced environment, and utilize tools like Jira for bug tracking and release planning will be key to your success. Experience in writing clear, concise, and comprehensive test plans and test cases, building automated regression testing capabilities, and knowledge of quality control procedures and legal standards are highly valued. Passion for process automation, software quality, and familiarity with ERP or HRMS will be advantageous. Qualifications: - Bachelors degree in Computer Science, Engineering, or related field Join us at Masthead Technologies, where we prioritize communication, creativity, and collaboration in a dynamic work culture. We are committed to investing in talented individuals who can contribute to our goals and grow with the organization. Explore more about us at www.mastheadtechnologies.com and be a part of our innovative team.,

We are seeking a meticulous and analytical Financial Data Analyst to join our finance team. As a Financial Data Analyst, you will be responsible for managing and analyzing large datasets to provide crucial financial insights and support strategic decision-making. The ideal candidate will excel in handling and analyzing large datasets, utilizing their financial expertise to drive insights and facilitate strategic decisions. Your role will be vital in ensuring data integrity, implementing best practices, and offering actionable recommendations to aid our company in achieving its financial objectives. To qualify for this position, you should possess a Bachelor's degree in Finance, Accounting, Data Science, Statistics, Computer Science, or a related field. An advanced degree or relevant certifications such as CFA or CPA would be advantageous. Additionally, a minimum of 5 years of experience in data management, financial analysis, or a related role is required, with proven expertise in managing large datasets and financial modeling. The role demands proficiency in data management tools like SQL, ETL processes, and data warehousing, along with advanced knowledge of financial software and systems such as ERP and BI tools like Tableau and Power BI. Strong skills in data analysis and statistical methods are essential, as well as excellent problem-solving abilities to interpret complex data and make informed decisions. Effective communication skills, both verbal and written, are crucial for presenting complex information clearly and concisely. Attention to detail is paramount, ensuring a high level of accuracy in data analysis and financial reporting. In this position, your key responsibilities will include managing and analyzing large financial datasets, developing and maintaining financial models, analyzing financial data to identify trends, patterns, and anomalies, and providing actionable insights to stakeholders. You will apply financial acumen to analyze complex datasets, create and maintain dashboards and visualizations, prepare detailed financial reports, forecasts, and budgets, and collaborate with finance and accounting teams to ensure data consistency and alignment with financial goals. Furthermore, you will be responsible for creating and maintaining comprehensive documentation of data processes, analysis methodologies, and financial models, collaborating with cross-functional teams to understand data needs, providing data-driven recommendations to support business strategies, identifying opportunities for process improvements, and automating tasks to enhance data management and analysis efficiency. Join us for exciting projects in industries like High-Tech, communication, media, healthcare, retail, and telecom. Enjoy a collaborative environment where you can expand your skills and maintain a healthy work-life balance with flexible schedules and opportunities for professional development. We offer competitive salaries, various benefits, and fun perks to create a vibrant and rewarding workplace. Come be a part of GlobalLogic, a leader in digital engineering, and help build innovative products and digital experiences for global brands across diverse industries.,

As a Market Analyst, you will play a crucial role in supporting business growth by providing insightful market and competitive analysis. Your primary responsibilities will include conducting in-depth market research, analyzing industry developments, monitoring competitor activities, and gathering data on customer needs and product performance. You will collaborate with cross-functional teams to offer data-driven recommendations and support strategic decision-making. Additionally, you will be expected to develop market forecasts, possess strong analytical skills, and have proficiency in data analysis tools and software. To qualify for this position, you should hold a Bachelor's degree in Marketing, Economics, Business Analytics, or a related field, with a Master's degree considered a plus. You must have 3-5 years of experience in market research or business analysis, particularly in international markets such as Europe, UK, USA, and/or Gulf regions. Strong analytical and critical thinking skills, proficiency in data analysis tools, excellent research abilities, and effective communication skills are essential for this role. Knowledge of statistical methods, data modeling, and experience with CRM and market intelligence platforms will be advantageous. Additionally, the ability to work independently, manage multiple projects, and multilingual abilities will be beneficial in this position.,

You will join our dynamic team as a highly skilled Data Scientist, where you will be tasked with analyzing large datasets, developing predictive models, and offering actionable insights to facilitate informed business decisions. Your responsibilities will include collecting, processing, and analyzing extensive datasets to extract valuable insights. Furthermore, you will be developing and deploying predictive models and machine learning algorithms. Collaboration with cross-functional teams to identify business opportunities and promote data-driven decision-making will be a crucial aspect of your role. Moreover, you will be responsible for creating data visualizations and reports to effectively communicate your findings to stakeholders. It will be expected of you to continually enhance data collection and analysis processes. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. Demonstrable experience as a Data Scientist or in a similar capacity is essential. Proficiency in statistical methods and machine learning techniques is required, as well as expertise in programming languages like Python, R, or SQL. Strong analytical and problem-solving skills will be key to excelling in this role.,

As a Senior Machine Learning Engineer, you will have the exciting opportunity to be involved in designing, developing, and deploying cutting-edge models for end-to-end content generation. This includes working on AI-driven image/video generation, lip syncing, and multimodal AI systems. You will be at the forefront of the latest advancements in deep generative modeling, striving to create highly realistic and controllable AI-generated media. Your responsibilities will encompass researching and developing state-of-the-art generative models like Diffusion Models, 3D VAEs, and GANs for AI-powered media synthesis. You will focus on building and optimizing AI pipelines for high-fidelity image/video generation and lip syncing. Additionally, you will be tasked with developing advanced lip-syncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. Implementing and optimizing models for real-time content generation and interactive AI applications using efficient model architectures and acceleration techniques will also be part of your role. Collaboration with software engineers to deploy models efficiently on cloud-based architectures (AWS, GCP, or Azure) will be crucial. Staying updated with the latest trends in deep generative models, diffusion models, and transformer-based vision systems to enhance AI-generated content quality will be an essential aspect of the role. Furthermore, designing and conducting experiments to evaluate model performance, improve fidelity, realism, and computational efficiency, as well as refining model architectures will be expected. Active participation in code reviews, improving model efficiency, and documenting research findings to enhance team knowledge-sharing and product development will also be part of your responsibilities. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. You should have a minimum of 3 years of experience working with deep generative models, such as Diffusion Models, 3D VAEs, GANs, and autoregressive models. Proficiency in Python and deep learning frameworks like PyTorch is essential. Expertise in multi-modal AI, text-to-image, and image-to-video generation, as well as audio to lip sync, is required. A strong understanding of machine learning principles and statistical methods is necessary. It would be beneficial to have experience in real-time inference optimization, cloud deployment, and distributed training. Strong problem-solving abilities and a research-oriented mindset to stay updated with the latest AI advancements are qualities that would be valued. Familiarity with generative adversarial techniques, reinforcement learning for generative models, and large-scale AI model training will also be beneficial. Preferred qualifications include experience with transformers and vision-language models (e.g., CLIP, BLIP, GPT-4V), a background in text-to-video generation, lip-sync generation, and real-time synthetic media applications, as well as experience in cloud-based AI pipelines (AWS, Google Cloud, or Azure) and model compression techniques (quantization, pruning, distillation). Contributions to open-source projects or published research in AI-generated content, speech synthesis, or video synthesis would be advantageous.,

You will be joining Moodlakatte Institute of Technology, Kundapura (MITK) as a full-time Assistant Professor specializing in Data Science. Located in Kundapura, you will play a key role in delivering lectures, developing curriculum, mentoring students, conducting research, and engaging in various academic activities. Your responsibilities will also involve evaluating student performance, collaborating with colleagues, and contributing to the overall enhancement of the department. To excel in this role, you must hold an M.Tech in Data Science and demonstrate proficiency in Data Analysis, Machine Learning, and Statistical Methods. Experience with programming languages such as Python, R, and SQL is essential. Strong communication and presentation skills are a must, along with the ability to effectively mentor and guide students in their academic and professional growth. A commitment to continuous learning and professional development is highly valued, while prior teaching experience, although not mandatory, will be advantageous. Join us at MITK and be a part of our mission to provide a nurturing educational environment that empowers students to shape their futures through knowledge and holistic development.,

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. Operating in more than 45 countries across five continents, we leverage state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients" business impact and strategic decision-making. With a team of over 4,500 talented professionals worldwide, we offer a dynamic, growth-oriented, and meritocracy-based culture that emphasizes continuous learning, skill development, work-life balance, and equal opportunity for all. Recognized by Great Place to Work in various countries, we provide a rewarding environment for individuals looking to make a significant impact. As a member of the Risk and Quant Solutions (RQS) team at Evalueserve, you will be part of one of the fastest-growing practices within the organization. Working with cutting-edge technology, you will address some of the world's largest financial needs and contribute to improving decision-making processes in the banking sector. Your responsibilities at Evalueserve will include leading and overseeing the development and implementation of Asset Liability Management (ALM) and Interest Rate Risk in the Banking Book (IRRBB) models for a bank. You will conduct advanced data analysis, collaborate with the model development team to enhance existing models, work directly with clients to provide tailored solutions in ALM and IRRBB management, and ensure timely completion of projects with a strong sense of urgency. Additionally, you will manage prototype source data migration, develop and deliver training programs, and contribute to strategic decision-making processes through your expertise. We are looking for individuals with a Bachelor's or Master's degree in business administration, finance, computer science, or related fields. The ideal candidate will have a deep understanding of ALM concepts, IRRBB, and Internal Liquidity Adequacy Assessment Process (ILAAP), as well as proficiency in statistical methods and tools such as logistic regression, Bayesian statistics, and time series analysis. Strong skills in Python and R, along with experience in developing models from scratch, are essential for this role. Effective communication, stakeholder management, and leadership skills are also key requirements. Please note that the job description provided is for informational purposes and may be subject to periodic modifications to align with evolving circumstances. Accuracy and authenticity in the information you provide are crucial for your candidacy, as they will be verified during the Background Verification Process. If you require any assistance, your Talent Acquisition Single Point of Contact (TA SPOC) is available to support you throughout the process.,

As a Medical Mechanical Design Verification/Control Engineer at HCLTech in Chennai Shollinganallur, you will be joining a team that values innovation, growth, and impactful work. This is an opportunity to work on cutting-edge projects in SME and be a part of something transformative! The walk-in drive is scheduled for 21st July Saturday from 9AM to 2PM at HCLTech Elcot Sez, 602/3, 138, Medavakkam High Road, Sholinganallur, Chennai-600119. The position available is for Mechanical Design (Lead, Technical Lead /Sr Lead) with an experience requirement of 3-7 years. To be eligible for this role, you should have a B.E/B.Tech or higher education in Mechanical Engineering. Sustaining Engineers are expected to have experience in Medical Device Design Controls, Design Verification & Validation for 3 to 7 years. You should be adept with the Design Control process for Medical Devices and have led Change Qualification projects for medical devices, collaborating with multi-cultured CFT. Your responsibilities will include developing test protocols and test plans, ensuring the quality of deliverables, expertise in Mechanical Engineering basics, Risk Management, applying statistical methods to problem-solving, and driving solutions for technical issues. Additionally, you should be self-motivated, capable of working independently, possess strong project management skills, and have excellent oral and written communication skills including technical writing. Knowledge of ISO13485 would be an added advantage for this role. Proficiency in software tools such as SolidWorks, 2D Tolerance Stackup, MS Word/Excel/PowerPoint is required. Interested candidates can share their CV with Katherine Sylvia at Katherinesylvia.k@hcltech.com, including details such as Current Company, Current CTC, Expected CTC, Notice Period, and Location. Make sure to bring this call letter for the walk-in interview on 21st July.,

As a Principal Scientist within the Preclinical Safety (PCS) Pathology Team at Novartis, you will play a crucial role in advancing translational safety omics data analysis to support innovative drug discovery and development efforts. Your responsibilities will involve collaborating closely with pathologists, bench scientists, and subject matter experts across different Novartis sites such as the USA and Switzerland. Your expertise in omics-based data science and your dedication to enhancing multimodal data analysis in translational drug safety will be key to success in this role. Your day-to-day tasks will include using machine learning and statistical methods to analyze spatial transcriptomics and spatial proteomics data from raw reads, comparing and contrasting different omics data sets, conducting multimodal analysis with other data modalities, and supporting various projects with data science expertise in fields like gene and cell therapy, target discovery, genetics, drug safety, and compound screening. Additionally, you will be expected to innovate by leveraging Data Science and Artificial Intelligence to solve problems effectively, communicate regularly with stakeholders, evaluate new technologies and scientific software, and independently identify and apply research articles to business problems. To qualify for this position, you should hold a Master's or Ph.D. in Data Science, Computational Biology, Bioinformatics, or a related discipline. You must be proficient in programming languages and data science workflows such as Python, R, Git, UNIX command line, and high-performance computing clusters. A minimum of 5 years of experience in analyzing large biological datasets in a drug discovery/development or academic setting is required, along with proven expertise in exploratory data analysis, statistical inference, and machine learning algorithms. Your collaborative mindset, exceptional communication skills, and ability to work in an agile environment will be essential for success in this role. Novartis is a company dedicated to improving and extending people's lives, with a strong belief in the power of medical science and digital innovation. The organization values diversity, equity, and inclusion, fostering an environment that encourages new ways of working and collaboration. By joining Novartis, you will have the opportunity to work in an unbossed culture that promotes integrity, curiosity, and flexibility, allowing you to tackle challenging medical problems with courage and ambition. Novartis is committed to creating an inclusive work environment that reflects the diversity of the patients and communities it serves. If you are interested in exploring career opportunities at Novartis, you can join the Novartis Network to stay connected and receive updates on future roles that align with your goals. Novartis offers a range of benefits and rewards to support your personal and professional growth. To learn more about the opportunities available and the company's commitment to helping you thrive, you can refer to the Novartis handbook on benefits and rewards.,

We are seeking an enthusiastic and skilled Python Developer with a passion for AI-based application development to join our expanding technology team. This role presents an opportunity to work at the intersection of software engineering and data analytics, contributing to cutting-edge AI-driven solutions that have a real business impact. If you possess a strong foundation in Python, a knack for problem-solving, and a keen interest in building intelligent systems, we are excited to meet you! As a Python Developer at ARDEM Data Services Private Limited, your key responsibilities will include: - Developing and deploying AI-focused applications using Python and associated frameworks. - Collaborating with Developers, Product Owners, and Business Analysts to design and implement machine learning pipelines. - Creating interactive dashboards and data visualizations to derive actionable insights. - Automating data collection, transformation, and processing tasks. - Utilizing SQL for data extraction, manipulation, and database management. - Applying statistical methods and algorithms to extract insights from large datasets. The ideal candidate should have: - 2-3 years of experience as a Python Developer, along with a robust portfolio of relevant projects. - A Bachelor's degree in Computer Science, Data Science, or a related technical field. - In-depth knowledge of Python, including frameworks and libraries such as NumPy, Pandas, SciPy, and PyTorch. - Proficiency in front-end technologies like HTML, CSS, and JavaScript. - Familiarity with SQL and NoSQL databases and their best practices. - Excellent communication and team-building skills. - Strong problem-solving abilities with a focus on innovation and self-learning. - Knowledge of cloud platforms such as AWS is a plus. Technical Requirements: - Laptop or Desktop: Windows (i5 or higher, 8GB RAM minimum) - Screen: 14 inches, Full HD (1920x1080) - Internet Speed: 100 Mbps or higher About ARDEM: ARDEM is a prominent Business Process Outsourcing and Business Process Automation service provider with a successful track record of over two decades. We deliver outsourcing and automation services to clients in the USA and Canada, focusing on continuous innovation and excellence. We are committed to becoming the leading Business Process Outsourcing and Business Process Automation company by consistently delivering top-notch services to our customers. Please note: ARDEM will never request personal or banking information during the hiring process for any data entry/processing roles. Any communication claiming to offer work-from-home jobs on behalf of ARDEM Incorporated is fraudulent. Please disregard such messages and refer to ARDEM's Careers page for genuine job opportunities. We apologize for any inconvenience caused by such deceptive practices.,

As a global leader in ship management and marine services, we add value to a vessel's operations. Operating around the clock and around the world, V. gives every client the quality and efficiency they need in every sector. Covering crew management and recruitment, quality ship management and technical services, together with supporting management and commercial services, V. has unrivaled industry knowledge with performance assured. Our values, We Care, We Collaborate, We Challenge, We are Consistent, We Commit and Deliver, are at the heart of everything we do and they support our strategy of Investing in Talent. We are always interested in making contact with talented individuals - people who will demonstrate our values and deliver great service, for internal and external stakeholders. The Demand and Capacity Forecasting Manager is responsible for developing and maintaining accurate demand/supply/capacity forecasts using data-driven methodologies. This role involves analyzing historical data, market trends, and business insights to optimize and improve forecast accuracy, workforce planning, and operational efficiency. The ideal candidate must have strong forecasting experience, analytical skills, experience in building predictive models, scenario planning, and the ability to collaborate across departments to drive strategic decision-making. Key Responsibilities and Tasks: - Forecast Development: Build and refine demand forecasting models using statistical methods and business intelligence tools. - Data Analysis: Analyze historical trends, seasonality, market dynamics, micro and macro factors to improve forecast accuracy. - Performance Monitoring: Track forecast accuracy, identify gaps, and continuously refine methodologies and assumptions to enhance reliability. - Collaboration: Work with internal stakeholders, finance, operations, recruitment, and commercial teams to align forecasts with business goals. - Scenario Planning: Conduct "what-if" analyses to assess the impact of internal and/or external factors. - Automation & Technology: Work closely with Senior Data Analysts to implement AI-driven forecasting solutions, machine learning and integrate new tools for predictive analytics. - Reporting & Communication: Present insights and recommendations to senior leadership, ensuring alignment with strategic objectives. - Risk Mitigation: Identify potential demand fluctuations and develop contingency plans. Key performance indicators (as specified in the Annual objective setting): - Forecast accuracy (measure how close the forecast is to actuals) - Business impact (contribution to business goals eg. Reduce recruitment requirement) V. Group can offer you a market-leading salary and benefits package, in addition to significant opportunities for career growth and personal development. This is a great opportunity to join a true leader in the maritime sector - a company that has exciting plans for future growth. **Essential Requirements**: - Must have strong, 5+ years" experience in demand forecasting, workforce planning preferably in a global organization. - Expertise in scenario planning. - Advanced Excel and MS O365. - Strong problem-solving and strategic thinking abilities. - Excellent communication skills with the ability to translate complex data into actionable insights. - Ability to work cross-functionally in a fast-paced environment. **Desirable Skills**: - Experience with AI/machine learning in forecasting is a plus. - Workforce Management (Resource) forecasting expertise. *Applications Close Date*: 31 Aug 2025,

You will be part of our team as a detail-oriented and analytical Data Analyst. Your main responsibilities will include interpreting data, analyzing results using statistical techniques, and providing ongoing reports to support business decisions. To excel in this role, you should have a solid foundation in data analysis, statistical modeling, and visualization, combined with a genuine passion for converting data into actionable insights. Your key responsibilities will involve collecting, processing, and cleaning data from various sources to ensure data quality and integrity. You will conduct data analysis and statistical evaluations to identify trends, patterns, and insights. Additionally, you will create data visualizations and dashboards using tools like Power BI, Tableau, or similar software. Writing clean and efficient code to handle large datasets using Python, R, SQL, etc., will also be a crucial part of your role. Collaborating with cross-functional teams to define and monitor key performance indicators (KPIs) and documenting data analysis processes to communicate findings with stakeholders will also be part of your routine tasks. Furthermore, you will work closely with Data Engineering teams to support data pipeline development and optimization. Your must-have skills for this position include a strong proficiency in data analysis and statistical methods, hands-on experience with data visualization tools like Power BI, Tableau, Matplotlib, Seaborn, proficiency in programming languages such as Python, R, or SQL, understanding of data engineering basics, and the ability to work with structured/unstructured data. You should also possess the ability to interpret data and present it clearly to both technical and non-technical audiences. Good-to-have skills for this role include experience with advanced programming concepts and scripting, familiarity with ETL processes and tools like Apache NiFi, Talend, or Informatica, knowledge of machine learning fundamentals and predictive analytics, exposure to advanced statistical modeling techniques, and experience with cloud platforms (AWS, GCP, Azure) for data handling. To qualify for this position, you should hold a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Data Science, or a related field. This is a full-time job opportunity with health insurance benefits. The work schedule is during the day shift, and the work location is in person. Kindly respond to the following application questions: - How many years of experience do you have as a Data Analyst - How many years of experience do you have with Power BI - What is your current salary ,

The Life & Annuity Predictive Analytics (LAPA) business unit at Milliman is a dynamic and diverse team of professionals specializing in data science. As part of LAPA, you will have the opportunity to work with a talented group of individuals including data scientists, data engineers, software developers, and actuarial experts. Together, we strive to help insurers and distributors of life and retirement products leverage data to enhance their competitive edge and financial performance. In this role, you will take on the responsibility of leading industry studies for the LAPA team. Your duties will include overseeing the end-to-end process of data collection, development, testing, deployment, and maintenance of data processing and analytics infrastructure. Additionally, you will be involved in modeling analytics, analyzing results, and preparing comprehensive reports. Key Responsibilities: - Lead policyholder experience studies and direct analysts in preparing study data - Provide expertise in the life and annuity domain and represent Milliman in client interactions - Coordinate project tasks with the technical team and perform statistical methods assessments - Lead the preparation of client reports and relevant marketing materials Qualifications: - Bachelor's degree in a quantitative field (MS preferred) such as Computer Science, Actuarial Science, Engineering, Statistics/Mathematics, or Data Science - Minimum of 5 years of relevant work experience with at least 2 years in an experience analysis or assumption setting role - Membership in a recognized Actuarial institute (e.g., IFoA, IAI, SOA) - Proficiency in common data analysis tools (e.g., Python, R, SASS, SQL) and familiarity with predictive modeling and statistical methods Desired Skills: - Experience in leading project teams and a background in the life and annuity industry - Ability to thrive in a fast-paced environment with a client-centric focus - Strong critical thinking, decision-making, and communication skills - Demonstrated reliability, dedication to quality work, and the capability to articulate ideas clearly - Comfort working both independently and collaboratively while managing competing priorities and deadlines Additional Skills to Develop: - Aptitude for quantitative and critical thought - Experience with cloud-based computing platforms (e.g., Databricks) and analytical programming using spark-based languages (PySpark, SparkSQL) At Milliman, we are committed to our mission of protecting the health and financial well-being of individuals worldwide. Our core values of Quality, Integrity, and Opportunity guide our actions and interactions with clients and colleagues. Through a focus on Collaboration, Communication, People Development, Innovation, and fostering a Positive Culture, we continuously strive for excellence in our work. Diversity, Equity & Inclusion is a key focus for our practice, and we value inclusivity as a business imperative. We expect all team members to contribute to a culture of belonging and support initiatives that promote diversity within our organization. As a professional at Milliman, you are encouraged to embody a client-centric mindset, exceed job expectations, and engage in administrative responsibilities to support the smooth operation of our Practice. Your dedication to exceptional client service, continuous improvement, and adherence to professional standards will contribute to your career growth and success within our team.,