111 Statistical Methods Jobs

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Consults with various stakeholders throughout the organization to analyse their information needs and determines analytical requirements for system application and data processing solutions, including selection of appropriate data sources, tabulations, statistical methods and analysis, and communication of results and insights Builds Business Intelligence (BI) and Data Visualization solutions to meet business and systems needs by thorough requirements gathering, software component designing, coding, testing, and effective review Uses DW/BI toolkits to collect, record, and provide access to data and assist the enterprise in making better business decisions Provides support to existing DW/BI solutions using architecture and development best practices including data design, data transport, data access, data visualization, and data quality/metadata techniques Designs and develops services for transformation, integration and reporting solutions Provides feedback and consultation on analytical capabilities and integrated data assets to business partners in order to mature the vision and direction for BI Applies industry best practices and promotes standards for execution and delivery approach

As a Climate Risk & Resilience Services Analyst, you will be responsible for: - Working on the development and application of technical workflows for analyzing environmental data, including downscaled climate model output, to develop climate projections for various weather phenomena such as precipitation, temperature, and snow. - Leveraging tools and analysis methods to identify and address challenges in climate datasets. - Supporting quantitative analysis of exposure, vulnerability, risks, and resilience related to long-term climate change considerations for clients like municipalities and infrastructure agencies. - Preparing documentation summarizing methodologies and results for both technical and lay audiences. - Participating in multiple projects, ensuring effective coordination with internal colleagues, external resources, agencies, and consulting team partners. - Contributing to a diverse team of experts to advance the Climate Risk & Resilience Services practice through data-driven analysis and decision-making. - Participating in quality control operations of the climate analysis sections of projects and contributing to defining best practices for consistency and scientific robustness in climate change risk assessment processes. - Contributing to research and development initiatives to build innovative practices in the field of climate change risk and resilience. - Collaborating with national business lines within WSP, focusing on advisory services related to climate science, climate risks, and adaptation planning. Qualifications: - Undergraduate or graduate degree in data science, hydrology, meteorology, atmospheric science, climate science, environmental engineering, or a related field. - Strong computer skills, including programming skills (e.g., Python) and data management and processing skills related to model output (e.g., familiarity with NETCDF file formats). - Proficiency in version control systems (e.g., Git, GitHub) for managing code and collaborating on projects. - Experience working with tools and coding scripts for effective data processing, analysis, and visualization. - Strong statistics background with experience in statistical methods for meteorological data infilling and trend analysis. - Experience with high-performance computing (HPC) and parallel processing in cloud environments (e.g., AWS, Google Cloud, Azure). - Experience with climate change models and data portals, preferably with experience in statistical and dynamical downscaling. - Experience with AI and machine learning would be an asset. - Understanding of frequency analysis of extreme climate events, quantifying and correcting statistical bias in climate datasets, hazard modeling approaches using climate data, climate-related vulnerability and risk assessments, and effective communication of technical analysis and results to non-technical audiences. - Attention to detail, commitment to quality reviews, accuracy, and excellence, ability to innovate on challenging topics, and experience working independently and on remote collaborations. Omitting any additional details of the company mentioned in the Job Description.,

Role Overview: You will be working as a Junior Quality Manager in Nashik, responsible for ensuring that products and services meet all necessary requirements before reaching the consumer. Your role will involve inspecting final products for compliance with legal standards and customer expectations. A key aspect of your job will be to understand product/service requirements and uphold quality standards to maintain the company's reputation and drive sustainable growth. Key Responsibilities: - Understand customer needs and requirements to develop effective quality control processes. - Set detailed guidelines and quality standards for product inspection. - Establish requirements for suppliers and monitor their compliance with quality standards. - Ensure adherence to health, safety guidelines, and legal obligations. - Define quality metrics for manufacturing procedures and conduct regular tests to identify malfunctions. - Monitor product development processes for deviations from quality standards. - Inspect final output, compare properties to requirements, and approve/reject products accordingly. - Maintain accurate documentation, perform statistical analysis, and solicit customer feedback. - Set and track quality assurance goals, identify opportunities for improvement, and develop efficient procedures. Qualification Required: - BE in Mechanical Engineering/Industrial Engineering, Business Management/BBA/MBA with good grades. - Experience in the healthcare industry (up to 1 year) is preferred but not mandatory. - Proficiency in MS Office (advanced level in Word, Excel, PowerPoint) with knowledge of MS Project as an advantage. - Excellent English verbal and written communication skills. - Strong social skills, ability to work in teams, lead effectively, and handle stressful situations. - Availability for travel as required and possession of a valid LMV driving license is preferred. - Detail-oriented, result-driven, with a good understanding of quality control procedures and legal standards. - Strong math abilities and knowledge of data analysis/statistical methods.,

You will be responsible for utilizing advanced analytics, machine learning, and statistical modeling techniques to help the retail business make data-driven decisions. You will work closely with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. **Key Responsibilities:** - Utilize your deep understanding of the retail industry to design AI solutions that address critical retail business needs. - Gather and clean data from various retail sources like sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. - Apply machine learning algorithms like classification, clustering, regression, and deep learning to enhance predictive models. - Use AI-driven techniques for personalization, demand forecasting, and fraud detection. - Utilize advanced statistical methods to optimize existing use cases and build new products. - Stay updated on the latest trends in data science and retail technology. - Collaborate with executives, product managers, and marketing teams to translate insights into business actions. **Qualifications Required:** - Strong analytical and statistical skills. - Expertise in machine learning and AI. - Experience with retail-specific datasets and KPIs. - Proficiency in data visualization and reporting tools. - Ability to work with large datasets and complex data structures. - Strong communication skills to interact with both technical and non-technical stakeholders. - A solid understanding of the retail business and consumer behavior. - Programming Languages: Python, R, SQL, Scala - Data Analysis Tools: Pandas, NumPy, Scikit-learn, TensorFlow, Keras - Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn - Big Data Technologies: Hadoop, Spark, AWS, Google Cloud - Databases: SQL, NoSQL (MongoDB, Cassandra) You will need a minimum of 3 years of experience and a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field to qualify for this position.,

As a Principal Statistical Programmer at Syneos Health, you will play a crucial role in developing and maintaining statistical programming standards and best practices. Your responsibilities will include: - Providing technical expertise and leadership in the development of statistical programs - Collaborating with statisticians and other stakeholders to understand and address their programming needs - Ensuring the accuracy and integrity of data and statistical outputs - Troubleshooting and resolving programming issues and challenges - Mentoring and training junior programmers and other team members - Contributing to the continuous improvement of programming processes and tools - Designing and implementing efficient programming solutions to meet project requirements - Conducting code reviews and providing constructive feedback to ensure high-quality programming deliverables - Staying updated with the latest advancements in statistical programming and incorporating relevant techniques into practice Qualifications required for this role include: - Advanced degree in Statistics, Computer Science, or a related field - Extensive experience in statistical programming, preferably in a clinical or pharmaceutical setting - Proficiency in programming languages such as SAS, R, or Python - Strong understanding of statistical methods and data analysis techniques - Excellent problem-solving and analytical skills - Ability to work independently and as part of a team - Strong communication and interpersonal skills You should also hold the SAS Certified Advanced Programmer for SAS 9 or equivalent certification. Syneos Health is committed to providing a supportive and engaging work environment where you can authentically be yourself. With a focus on career development, peer recognition, and total rewards programs, we aim to create a place where everyone feels they belong. Join us in our mission to accelerate the delivery of therapies and change lives. In addition to the job description, please note that Syneos Health has worked with a significant percentage of FDA-approved drugs and EMA authorized products over the past 5 years. This demonstrates our commitment to excellence and innovation in the biopharmaceutical industry. As a Principal Statistical Programmer at Syneos Health, you will contribute to developing programs and providing statistical programming support for statisticians or for client or business use. Your role will involve sourcing, organizing, and interpreting complex data sets, creating statistical tables, listings, and graphs, and developing codes to create analysis datasets, tables, and figures. You will also evaluate programming processes and suggest revisions to increase productivity, manage or contribute to projects, programs, or processes that span multiple related areas, and direct the work of lower-level professionals or manage processes and programs using advanced knowledge and skills acquired through education. For more information about Syneos Health, visit our website at http://www.syneoshealth.com.,

Role Overview: As a Junior Data Analyst specializing in analyzing datasets obtained from various sensors (pressure sensors, inertial accelerometers, GPS units, audio sensors), your main responsibility will be to identify trends, patterns, and insights from these diverse data sources and report your findings using custom proprietary tools. You will be required to work on programs that analyze data and create informative visualizations to effectively represent data trends. Key Responsibilities: - Utilize data visualization techniques such as line graphs, scatter plots, and histograms to present data trends in an informative manner. - Analyze data to detect trends and patterns using data visualization tools and techniques to highlight significant insights. Qualification Required: - Bachelors degree in a relevant field such as Engineering, Computer Science, Mathematics, or Statistics. - Fundamental understanding of how different sensors work and the types of data they generate, including pressure, acceleration, GPS, and audio signals. - Strong analytical capabilities with the ability to identify and interpret trends and patterns in data. - Excellent communication skills to present complex data insights through visualizations and written reports. - Previous internship or academic projects involving data analysis, particularly with sensor data, are advantageous but not mandatory. Additional Details of the Company: The company values proactive learning and eagerness to contribute to data-driven projects. The role requires a balance of independent work and collaboration as a team player.,

Role Overview: You will be responsible for developing systematic trading strategies, managing risk, optimizing performance, and researching alpha using ML/statistical methods. Key Responsibilities: - Develop systematic trading strategies - Manage risk and optimize performance - Research alpha using ML/statistical methods Qualifications Required: - 2+ years of quant trading experience - Proficiency in Python/C++/R - Proven track record in strategy development Additional Details: The company has a network spanning various locations including India and Remote. They work with a range of firms from prop shops to multi-billion systematic funds. Whether you are looking for opportunities in boutique trading floors or established hedge funds, this company will help you find the right fit for your career growth. Apply now for confidential discussions and take the next step in your quantitative trading career.,

The Retail Specialized Data Scientist will play a pivotal role in utilizing advanced analytics, machine learning, and statistical modeling techniques to help the retail business make data-driven decisions. This individual will work closely with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. The ideal candidate should have experience in retail analytics and the ability to translate data into actionable insights. Key Responsibilities: - Utilize deep understanding of the retail industry to design AI solutions for critical business needs. - Gather and clean data from various retail sources like sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. - Apply machine learning algorithms for classification, clustering, regression, and deep learning to enhance predictive models. - Utilize AI-driven techniques for personalization, demand forecasting, and fraud detection. - Implement advanced statistical methods to optimize existing use cases and develop new products. - Stay informed about the latest trends in data science and retail technology. - Collaborate with executives, product managers, and marketing teams to translate insights into business actions. Professional Skills: - Strong analytical and statistical skills. - Expertise in machine learning and AI. - Experience with retail-specific datasets and KPIs. - Proficiency in data visualization and reporting tools. - Ability to work with large datasets and complex data structures. - Strong communication skills for interaction with technical and non-technical stakeholders. - Solid understanding of the retail business and consumer behavior. Technical Skills: - Programming Languages: Python, R, SQL, Scala - Data Analysis Tools: Pandas, NumPy, Scikit-learn, TensorFlow, Keras - Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn - Big Data Technologies: Hadoop, Spark, AWS, Google Cloud - Databases: SQL, NoSQL (MongoDB, Cassandra) Minimum Qualifications: - Experience: Minimum 3 years of relevant experience. - Educational Qualification: Bachelors or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. Location: Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must-Have Skills: - Solid understanding of retail industry dynamics and key performance indicators. - Ability to communicate complex data insights to non-technical stakeholders. - Meticulous in ensuring data quality and consistency. - Proficiency in Python for data manipulation, statistical analysis, and machine learning. - Experience with supervised and unsupervised learning algorithms. - Use advanced analytics to optimize pricing strategies based on market demand. Good-to-Have Skills: - Familiarity with big data processing platforms like Apache Spark, Hadoop, or cloud-based platforms. - Experience with ETL processes and tools like Apache Airflow. - Familiarity with designing scalable and efficient data pipelines and architecture. - Experience with data visualization tools like Tableau, Power BI, Matplotlib, and Seaborn.,

Your Job We are seeking a highly skilled and motivated Inventory Analyst with a strong background in data science and supply chain operations to join our team. This position requires a minimum of 3 years of professional experience in the supply chain domain, combined with expertise in inventory optimization. What You Will Do As an Inventory Analyst, you will work on optimizing inventory processes by analyzing trends and implementing strategies to balance stock levels, minimize waste, and meet demand effectively. You will also develop and enhance demand forecasting models, applying statistical and machine learning techniques to provide accurate and actionable predictions. Your role will involve designing and deploying predictive models using supervised and unsupervised learning algorithms to address supply chain challenges. By utilizing SQL and Snowflake, you will extract, transform, and analyze large datasets to uncover patterns and insights that can inform strategic decisions. Additionally, you will create interactive dashboards and visualizations using tools like Power BI or Tableau to effectively communicate findings to stakeholders. Collaboration with procurement, logistics, and operations teams will be critical in implementing data driven strategies, and your contributions will support continuous improvements in supply chain processes through advanced analytics solutions. A strong technical foundation in SQL and Snowflake for data handling, as well as Python or R for analytics and modeling, is required. Familiarity with statistical methods, machine learning algorithms, and predictive modeling is essential, along with experience in supervised learning approaches like regression or classification and unsupervised methods such as clustering or dimensionality reduction. Who You Are (Basic Qualifications) A bachelors degree in supply chain management, Data Science, Statistics, Engineering, Computer Science, or a related field is necessary. Preferred candidates will possess advanced certifications such as CSCP, Lean Six Sigma, or Data Scientist Associate, along with familiarity with additional tools like Alteryx or advanced machine learning frameworks. A strong understanding of supply chain KPIs, including metrics like inventory turnover, fill rate, and lead time, will provide an added advantage What Will Put You Ahead Success in this role will require excellent analytical thinking and problem-solving abilities, with a capacity to translate complex datasets into actionable insights. You should demonstrate comfort with advanced analytics tools and techniques, along with a collaborative mindset to work effectively with cross-functional teams. Adaptability to fast-paced environments and a willingness to learn and adopt new technologies will be key attributes for the ideal candidate. At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidates knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy. Hiring Philosophy All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy Who We Are At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company. Our Benefits Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria are set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter. Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results. Equal Opportunities Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, all offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please visit the following website for additional information: http://www.kochcareers.com/doc/Everify.pdf Koch is proud to be an equal opportunity workplace. Show more Show less

Overview Certara accelerates medicines using proprietary biosimulation software, technology, and services to transform traditional drug discovery and development. Its clients include more than 2,000 biopharmaceutical companies, academic institutions and regulatory agencies across 62 countries. The Associate Director, Data Sciences, leads the development, quality assurance, and delivery of clinical trial outcome databases across therapeutic areas. This role combines strategic planning, technical expertise, project management, and stakeholder engagement to support evidence synthesis, meta-analysis, and data-driven insights. Responsibilities Database & Quality Assurance: Oversee database development, curation, QC, and deployment to platform (e.g., CODEX); ensure accurate data extraction from literature and plots; validate QC documentation and manage change impact. Technical Expertise: Conduct systematic literature reviews using PICOS, ontologies, and data standards; refine search strategies; apply clinical trial knowledge; perform R-based quality checks and exploratory analyses. Project Management: Lead planning and delivery of database products; manage resources, timelines, and change controls; ensure clear communication with clients and internal teams. Team Leadership: Mentor teams; drive process improvement, agile practices, and learning initiatives; support hiring and onboarding. Stakeholder Collaboration: Align with clients and internal teams on expectations; review project metrics and identify enhancements. Continuous Learning: Stay current with advancements in statistics, R, SLR, and data science; contribute to innovation. Qualifications Masters or PhD in Pharmacology, Pharmaceutical Sciences, or related fields. 10+ years of experience in SLR, clinical trial databases, or health economics (6+ years for PhD holders). Strong knowledge of clinical research, trial design, PICOS, and pharma data standards. Proficiency in R; knowledge of Python and statistical methods is a plus. Key Competencies Collaboration Communication Mentorship Adaptability Client Focus Certara bases all employment-related decision on merit, taking into consideration qualifications, skills, achievement, and performance. We treat all applicants and employees without regard to personal characteristics such as race, color, ethnicity, religion, sex, sexual orientation, age, nationality, marital status, pregnancy, physical or mental condition, genetic information, military service, or other characteristic protected by law. Show more Show less

Role Overview: We are hiring Marketing Mix Modeling Analysts with 24 years of experience in Marketing Analytics, with strong focus on data modeling, media and sales analytics, and price/promotion impact evaluation. This role will support model development and data preparation for multiple brands across media and sales channels. Key Responsibilities: 1. Assist in building and validating Marketing Mix Models using media, sales, and marketing input data 2. Prepare and transform datasets for modeling (GRPs, spends, distribution, sales, Nielsen data, etc.) 3. Work on Price & Promotion analytics, RCM models, and forecasting logic 4. Apply statistical techniques like regression, decay/adstock, and optimization 5. Support senior team members in creating presentations, model summaries, and business insights 6. Collaborate with internal/external stakeholders for data alignment and delivery planning Key Skills & Tools: 1. Hands-on experience with Python. 2. Good understanding of Marketing Mix Modeling and related statistical methods 3. Comfort with marketing and media data: TV, Digital, Distribution, Sales, Nielsen RMS/RA 4. Strong in Excel and SQL for data handling and reporting Preferred Background: 1. Worked in FMCG, retail, media analytics, or marketing consulting projects. 2. Exposure to marketing measurement or econometric modeling techniques

As a Python Developer, you will play a crucial role within our agile cross-functional team, leveraging your expertise in IT projects, cloud architecture, and development using modern tech stacks. Your primary responsibility will involve contributing to the development of Global Pricing Services as part of an agile team. Your proficiency will be instrumental in delivering cutting-edge solutions for various Operating Entities (OEs). This opportunity offers a unique blend of a startup-like atmosphere combined with the global market presence of one of the world's largest insurance companies. In this role, you will collaborate within cross-functional teams dedicated to Global Commercial Pricing services. Your tasks will include developing and deploying scalable pipelines for handling extensive and intricate data sets utilizing common Python modules and packages. Additionally, you will be involved in creating robust APIs, quantitative development, data modeling, enrichment, and transformation through statistical methods and/or machine learning techniques. Continuous development, support of processes in a diverse system landscape, and participation in the adoption of cloud-based services will also be part of your responsibilities. Your role may extend to project management activities depending on your experience level, involving planning, coordination, implementation, and potentially requirements analysis and customer communication. To excel in this position, you are expected to possess a strong command of Python, with a preference for familiarity with machine learning concepts. A background of 3-6 years in Python development, experience with cloud solutions and data lakes, as well as knowledge of SQL (Oracle desirable) are essential. An interest in finance and insurance industry-related topics, along with analytical, conceptual, and organizational skills, are also crucial for success in this role. Furthermore, you should exhibit a high level of analytical thinking, motivation, reliability, personal responsibility, and independence. Strong communication skills, a customer-focused approach, and the ability to work effectively in an international environment are key attributes we seek. Proficiency in English is a requirement, and any additional technical or university studies in (business) computer science or equivalent professional experience will be advantageous. In return, we offer a hybrid work model that supports a balance between in-person collaboration and remote work, including the flexibility of up to 25 days per year working from abroad. Our compensation and benefits package includes a company bonus scheme, pension, employee shares program, and various employee discounts. We prioritize career development through digital learning programs and international mobility opportunities, fostering an environment that encourages innovation, delivery, and empowerment. Additionally, we provide health and wellbeing support, flexible working arrangements, and parental leave benefits to help our employees maintain a healthy work-life balance. Allianz Technology serves as the global IT service provider for Allianz, spearheading the digital transformation of the Group. With a workforce of over 13,000 employees across 22 countries, Allianz Technology collaborates with other entities within Allianz to drive digitalization within the financial services sector. Our initiatives span from large-scale IT infrastructure projects to application platforms, offering end-to-end IT solutions in the digital era. At Allianz, we value diversity and inclusivity, and we are committed to creating an environment where every individual feels empowered to grow and contribute towards a better future for our customers and society. We are an equal opportunity employer that celebrates individual differences and encourages employees to bring their authentic selves to work, regardless of background, appearance, beliefs, or preferences. Join us at Allianz Technology, where we care for tomorrow.,

The opportunity: Our Indian Operations Centre (INOPC) is a competence center with around 2600+ skilled engineers who focus on tendering, engineering, planning, procurement, functional system testing, installation supervision, and commissioning. Over the last decade, INOPC has evolved to become the largest engineering hub serving more than 40 countries across different energy sectors. The team caters to the four business units Transformers, Grid Integration, Grid Automation, High Voltage and has successfully executed engineering and commissioning for projects in more than 80 countries. How you'll make an impact: You will be responsible for supporting the Sales and Strategic Marketing functions of the global Business Unit (BU) High Voltage in understanding market, competitor trends, and price performance by developing and implementing state-of-the-art data analytics models as well as process and tool support. You will need to understand the product & market segmentation of the portfolio and build know-how of data ecosystems in various processes involved in Business. Additionally, you will prepare reports with clear information, interpret the data into optimized KPIs such as target achievement, price performance, order trend, pipeline development, profitability, etc. Collaboration with Global, HUB & Pricing specialists to develop and implement competitive strategies will be a key part of your role. You will also be in charge of the development and updating of models using Python and related user training to enhance the analytical capabilities of our sales management globally. It will be your responsibility to continuously improve process performance and data quality, ensuring efficient business guidelines are followed. You will assess data from different sources to gain insights into pricing strategies and market trends, analyze historical sales data, develop and implement predictive models, and collaborate with cross-functional teams to provide analytical solutions. Your background: You should possess a Bachelor's or Master's degree in data science, Statistics, Computer Science, or a related field. Any graduation (Science, Statistics, Computer applications, Engineering) with 4-7 years of relevant experience is required. Proven experience in data analysis, modeling, and machine learning is essential. Proficiency in programming languages such as Python, R, or SQL is a must, along with a strong understanding of statistical methods and machine learning algorithms. Experience with data visualization tools like Tableau, Power BI, or similar is preferred. Excellent problem-solving skills, attention to detail, ability to work independently and as part of a team, knowledge of big data technologies and cloud platforms, and strong communication and interpersonal skills are necessary for this role. Attention to detail and a commitment to delivering high-quality digital solutions are also important qualities to possess. Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. Requests for reasonable accommodations can be made by completing a general inquiry form on our website, including contact information and specific details about the required accommodation to support you during the job application process. This accommodation assistance is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Other inquiries will not receive a response.,

Grade M3/M4/M5 Role Team Member - Credit Risk Analyst Department Risk Management Reporting Relationship Team Lead - Credit Risk Location Mumbai Role Requirements Credit Risk Analytics and Modelling - Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations. Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards - in particular for PD, LGD, EAD and related Credit Risk metrics - using statistical methods and / or expert judgement based techniques. In depth understanding of the techniques and functional insights that drive Credit Risk models and the experience of having used modelled output in computing Expected Credit Loss (ECL) under Ind AS, Credit Risk Capital under Internal Ratings based approaches, Economic Capital and having taken these measures through the scrutiny of auditors and regulators. This is the main requirement of the role and the individual should have a good knowledge of this function. Derive insights from data and effectively communicate these insights to Risk, Credit and Business teams. Develop Risk Dashboards and analytical reports for Senior Management. Preparing and submitting reports to the regulator and / or senior management on a periodic and adhoc basis. The job-holder will be responsible for computing and reporting ECL and related metrics on an on-going basis. Ability to work with (gather, consolidate, prepare, summarise) large data sets on a routine basis with an eye for detail and flair for numbers. Data cleansing and preparation for use in model building. Ensure reliability, integrity and consistency of reported and underlying data Pre-Requisites About 4 to 8 years of experience in a Bank, NBFC, Consulting Firm, Rating Agency in the areas of working PD, LGD, ECL, EAD. Exposure to risk reporting or financial reporting would be an advantage. Degree in statistics, mathematics or econometrics (or equivalent professional qualifications) with hands-on experience in statistical model development, implementation, validation would be an advantage. Experience and expertise in using any one or more among Python / SAS / R. Intermediate level SQL skills will be useful. Strong experience in areas like delinquency or loan loss forecasting, expected credit losses capital computation under advanced approaches. Above average to advanced excel skills Experience in projects involving automation / data consolidation in the areas of risk or financial reporting would be an advantage Skills and Knowledge CA or MBA with FRM preferred Understanding analysis of various types of credits Proven management and supervisory skills Excellent interpersonal skills, verbal/written communication skills and strong project management skills Above average to advanced excel skills Experience in working with Python, SQL or SAS would be an added advantage.

As an AI/ML Technical Lead at Cambridge University Press & Assessment, you will play a crucial role in shaping and implementing cutting-edge AI solutions that drive innovation within our organization. Your responsibilities will include leading a technical team working at the intersection of natural language processing, large language models, learning and assessment analytics, product development, and user security & safety. Cambridge University Press & Assessment is a distinguished global academic publisher and assessment organization proudly affiliated with the prestigious University of Cambridge. Our commitment is to excel in education, learning, and research on a global scale, empowering millions of individuals across over 170 countries. We embrace change as an opportunity for growth and progress, constantly adapting to meet the evolving needs of our customers through collaboration, attentive listening, and innovation. In this role, you will have the opportunity to collaborate with colleagues from diverse branches, expanding your horizons and enriching your understanding of different cultures. We prioritize your wellbeing and offer stability, fostering your professional and personal growth through internal and external activities and training sessions to help enrich your skillset. You will enjoy work-life balance flexibility through our range of options, including flexible schedules, hybrid work arrangements, and generous paid leave. Key responsibilities as an AI/ML Technical Lead will include: - AI/ML Architecture and Development - Team Leadership and Mentoring - Technical Strategy and Innovation - Stakeholder Collaboration - Continuous Learning and Knowledge Sharing You will work closely with the Head of Engineering and Operations to design and implement AI solutions aligned with business objectives, focusing on machine learning and natural language processing. Your role will involve leading and developing your team through technical mentoring, knowledge sharing, and promoting AI/ML best practices. Additionally, you will make architectural decisions, drive technical direction for AI initiatives, collaborate with Subject Matter Experts (SMEs) to translate product vision into technical requirements, and ensure solutions meet performance, scalability, and security standards. To excel in this position, you should have: - Several years of experience in AI/ML development - Extensive experience with ML frameworks (such as TensorFlow, PyTorch, scikit-learn) - Strong background in computer science, mathematics, statistical methods, and machine learning - Proficiency in relevant programming languages (such as Python, R, Java) - Proven experience with model deployment and monitoring in production environments - Track record of mentoring and developing other developers - Experience with agile development practices - Strong communication skills with both technical and business stakeholders - A relevant degree or demonstrable equivalent experience in a technical discipline This role requires a willingness to work Monday to Friday 10:00 - 18:00 (PH Time), with occasional flexibility to support incidents and collaborate with global teams. If you are passionate about driving AI innovation, leading technical teams, and contributing to impactful projects in a collaborative environment, we encourage you to apply for this exciting opportunity at Cambridge University Press & Assessment.,

About Asper.ai: At Asper.ai, the organization is dedicated to transforming businesses into adaptive, intelligent enterprises by facilitating autonomic decision-making at the convergence of demand and supply. The platform, fueled by advanced AI and machine learning technologies, streamlines intricate decision-making processes, fostering growth and enhancing workflows in sectors like CPG, retail, and supply chain management. As a member of the Fractal family, the goal is to innovate business decision-making by furnishing data-driven insights that yield tangible outcomes. About the Role: Currently, there is an opportunity for an adept Lead Data Scientist to become a part of the expanding team at Asper.ai. In this significant role, you will leverage your proficiency in machine learning, deep learning, and data science to tackle intricate business challenges, specifically focusing on demand forecasting, supply chain optimization, and price recommendation. Job Title: Lead Data Scientist Location: Bangalore | Hybrid Reporting to: Director of Data Science Position Type: Senior Individual Contributor What you are going to do: - Conduct exploratory data analysis to reveal trends, patterns, and insights from sophisticated datasets. - Develop, train, and implement machine learning and deep learning models for time series scenarios like demand forecasting, inventory management, and pricing. - Extract data insights, generate visual representations, and convey findings to both technical and non-technical stakeholders. - Construct and sustain data science pipelines for model creation, deployment, monitoring, and enhancements. - Collaborate with engineering, product, and business teams to incorporate models into operational systems and align them with client objectives. - Research and prototype novel algorithms and modeling techniques to enhance solution performance. - Monitor and assess model performance, making iterative adjustments based on findings. What we are looking for: - A minimum of 6 years of experience in roles related to data science, machine learning, or analytics. - Hands-on experience with time series analysis, forecasting, and predictive modeling. - Proficiency in Python (NumPy, pandas, Scikit-learn, TensorFlow, or PyTorch), SQL, and Excel. - Familiarity with deploying machine learning solutions and managing model life cycles. - Capability to collaborate with engineering and product teams to define and execute projects. - Ability to elucidate modeling decisions, data assumptions, and outcomes to stakeholders. - Exposure to statistical methods, optimization, and model monitoring frameworks. - Previous experience working within CPG, FMCG, or retail industries is advantageous. Why Join Asper.ai - Play a pivotal role in revolutionizing how businesses in CPG, retail, and supply chain sectors make data-informed decisions. - Engage in cutting-edge AI/ML initiatives that challenge the frontiers of decision-making automation. - Be part of a collaborative and inclusive work environment that fosters innovation and personal development. - Join a rapidly growing, innovative AI company with prospects for career advancement and leadership. What We Offer: - Competitive salary and benefits package. - A dynamic, inclusive work culture that promotes continual learning and development. - Opportunities to contribute to impactful projects that will influence the future of decision-making at scale. Ready to create an impact and become a part of an AI-powered revolution If you are passionate about data science and adept at solving intricate challenges in the CPG, FMCG, or retail industries, Asper.ai looks forward to hearing from you!,

As a Computer Vision Researcher, you will be responsible for designing and optimizing deep learning models, building prototypes, and collaborating closely with cross-functional teams to ensure the seamless integration and real-time deployment of computer vision technologies into robotic systems. Joining our ambitious Advanced Robotics team, dedicated to pushing the boundaries of robotics and launching innovative products, you will be based out of Noida Headquarters. In this role, you will play a crucial part in developing a robot vision system that enables humanoid robots to navigate, interact, and learn from complex and dynamic environments. Your responsibilities will include conducting advanced research in computer vision, designing and training deep learning models, implementing efficient data processing pipelines, building prototypes and proof-of-concept systems, evaluating and optimizing the performance of computer vision models, integrating third-party computer vision libraries, and collaborating with product teams, hardware engineers, and software developers. You will also mentor junior researchers and engineers on computer vision concepts and technologies, providing guidance in experimental design, data analysis, and algorithm development. To qualify for this role, you should have a PhD or master's degree in computer science, Computer Vision, AI, Robotics, or a related field, along with 5-8 years of experience. Strong understanding of computer vision techniques, proficiency in deep learning frameworks, experience with Visual SLAM, LiDAR SLAM, VIO, CNNs, RNNs, GANs, Visual Language Action (VLA), traditional computer vision techniques, programming skills in C++, Python, data processing, augmentation, computer vision libraries, GPU programming, machine learning algorithms, model evaluation metrics, and staying current with the latest research trends are essential requirements for this role.,

As a Data Analyst at iCubes in Udaipur, you will be part of a dynamic team that is focused on transforming data into actionable insights to drive business strategies and enhance operational efficiency. Your role will involve working with marketing tools such as Google Analytics, Facebook Ads, and Google Ads, as well as analyzing Sales & Marketing data to provide valuable recommendations and support decision-making processes. Requirements: - Minimum 2 years of experience as a Data Analyst - Proficiency in working with Sales & Marketing data - Ability to work independently and collaboratively in a fast-paced team environment - Bachelor's degree in Data Science, Statistics, Computer Science, or a related field - Strong problem-solving skills and attention to detail - Experience with large datasets and database systems - Advanced Excel skills, including pivot tables and complex formulas - Proficiency in data analysis tools such as SQL, Python, or R, and data visualization tools like Tableau, Power BI, Looker Studio - Familiarity with cloud-based data solutions like AWS Redshift, Google BigQuery is an advantage - Understanding of statistical methods and data modeling techniques - Knowledge of data mining, statistical analysis, and data visualization Responsibilities: - Design and implement data collection processes - Extract data from primary and secondary sources and ensure data integrity - Automate data extraction and transformation processes for streamlined workflows - Create interactive data visualizations and dashboards to communicate findings effectively - Collaborate with stakeholders to understand requirements and provide actionable analytics solutions - Perform exploratory data analysis to identify trends and patterns - Conduct statistical analysis and modeling to support decision-making - Provide recommendations based on data analysis to enhance business strategies - Stay updated on the latest technologies and best practices in data analysis If you are passionate about data and eager to contribute high-quality analysis and reporting to our organization, we invite you to apply for this exciting opportunity at iCubes. Join our team and be a part of our success by leveraging data assets effectively. Visit our website for more information about our services and team. Apply now and be a valuable member of our data-driven team!,

At Tetra Pak, we are committed to ensuring food safety and availability globally while also safeguarding the well-being of individuals and the environment. Our mission involves touching the lives of millions every day, and to achieve this, we require dedicated individuals like yourself. As part of our team, you will have the opportunity to contribute significantly to the advancement of food, the welfare of people, and the sustainability of our planet. Tetra Pak is at the forefront of utilizing innovative digital technologies to enhance customer value. We are currently seeking a proficient Analyst IBP to join our Supply Chain Management team. In this role, you will be responsible for implementing SAP IBP and establishing production planning processes for both Make-to-Stock and Make-to-Order strategies. Your tasks will include configuration and implementation within the IBP Demand Module, along with expertise in Inventory Planning & Optimization and Sales & Operations Planning (S&OP). You will play a vital role in setting up the flow from Demand Planning to supply planning and S&OP, as well as integrating with other SAP modules such as APO and PP. The ideal candidate should possess 4-7 years of relevant experience, with a track record of 2-3 successful IBP platform implementations in manufacturing environments. Your expertise should extend to timeseries-based demand planning, statistical and ML methods, and integration with external forecasting algorithms and machine learning libraries. Effective communication skills are essential for collaborating with colleagues, users, and business partners worldwide. We offer a stimulating work environment with diverse challenges and ample opportunities for personal and professional growth on a global scale. Our culture fosters innovation and values diversity and inclusion, ensuring equal employment opportunities for all. We provide competitive compensation and benefits, along with flexible working arrangements. If you are motivated to contribute to our mission of protecting food, people, and the planet, we invite you to apply through our careers page before the job posting expires on 30/06/2025. For any inquiries regarding your application, please reach out to Dipali Moray. At Tetra Pak, diversity, equity, and inclusion are integral to our daily operations. We strive to create a supportive and inclusive environment where every individual has the chance to thrive and succeed. Embracing differences and celebrating the unique contributions of each person enables us to better connect with our customers and communities worldwide.,

Danfoss Climate Solutions is looking for a highly skilled Simulation Engineer to join the team. As a Simulation Engineer, you will utilize your expertise in discrete-event simulation, manufacturing optimization, and automation technologies to enhance production efficiency and support decision-making processes. Your role will involve developing and maintaining digital models, ensuring seamless integration with manufacturing systems, and driving innovation in production operations to address high production variability and short throughput times. Your responsibilities will include developing, maintaining, and optimizing discrete-event simulation models to enhance manufacturing and production efficiency. You will apply operations research techniques to derive data-driven solutions for production optimization and provide decision-making insights through advanced simulations. Collaborating with cross-functional teams, you will integrate simulation models with real-world production systems, utilizing tools such as Siemens Tecnomatix Plant Simulation and Visual Components. Additionally, you will support the automation team with PLC programming and incorporate 3D CAD models and robot programming into simulation workflows. The ideal candidate should have solid experience with discrete-event simulation tools, knowledge of operations research techniques, and proficiency in PLC programming, 3D CAD modeling, and robot programming. Strong analytical skills and the ability to work collaboratively with various teams are essential. A proactive mindset, passion for process improvement, and a drive for innovation are also key qualities for this role. At Danfoss, we are committed to engineering solutions that drive sustainable transformation. We value diversity and strive to create an inclusive work environment where all employees are treated equally and respected for who they are. Join us in our mission to become CO2 neutral by 2030 and make a positive impact on the environment and the future.,

As a Manager of Performance and Reward Analytics at HSBC, you will play a crucial role in supporting the preparation and completion of critical dashboards and reports for Group or Global compensation specialist teams. Your primary responsibilities will include understanding data needs, consolidating compensation data using HSBC systems, and completing relevant reports and analytics. You will collaborate with key stakeholders to prepare, analyze, and present meaningful reporting that drives effective business insights. Your ability to communicate complex problems and data analysis to key decision makers in a simple and articulate manner using appropriate tools and visualizations will be essential. You will be responsible for extracting reports from multiple sources, converting raw data into presentable recommendations, and ensuring high data integrity for informed business decisions. Additionally, you will work with other members of the HR COEs to improve data accuracy within internal systems and maintain databases according to the Group Performance and Reward architecture. To excel in this role, you should possess a Bachelor's or Master's degree in HR, economics, mathematics, or engineering disciplines, along with 4-5 years of experience in data analysis and reporting. Proficiency in MS Excel, including VBA, is crucial, and experience with analytical tools and methods such as statistical methods or BI platforms like R, Python, or PowerBI will be advantageous. Your ability to understand business needs and objectives, create detailed spreadsheets, charts, and presentations, and demonstrate excellent analytical thinking and problem-solving skills will be key to your success. Having experience working for a HR/Reward analytics function is a plus, and the ability to perform effectively in a high-pressure and flexible work environment is essential. Exposure to working with multi-country based teams, strong relationship management skills, and the ability to navigate through complex matrix organizations will be beneficial. Your strong consulting, research, customer service, problem-solving, and organizational skills will contribute to your effectiveness in this role. Join HSBC and become part of a global banking and financial services organization that values your contributions and provides opportunities for professional growth and development.,

The role of Quant Analyst at our company is a full-time on-site position based in Kanpur. As a Quant Analyst, you will be tasked with developing quantitative models, analyzing financial data, and creating trading strategies. Your responsibilities will entail utilizing statistical methods, data analysis techniques, and programming skills to derive insights from extensive datasets. Additionally, you will play a key role in enhancing existing models, ensuring data accuracy, and collaborating closely with team members. To excel in this role, you should possess strong quantitative analysis skills, proficiency in statistical methods, and experience in programming languages like Python and R. Familiarity with databases, the ability to devise trading strategies, and expertise in financial modeling and risk management are also essential. Problem-solving, analytical acumen, effective communication, and teamwork are qualities that will contribute to your success in this position. Ideally, you should hold a Master's degree or higher in Finance, Mathematics, Statistics, or a related field. Prior experience in the financial industry would be advantageous. If you are looking for a challenging opportunity where you can leverage your quantitative skills and contribute to the development of trading strategies, we encourage you to apply for the Quant Analyst position.,

Kore.ai is a rapidly scaling enterprise AI company specializing in AI agent platform for Global 2000 enterprises. With nearly 100% year-over-year growth, we empower organizations with solutions for complex, mission-critical AI implementations. Our platform offers enterprise-grade security, mature release management, and comprehensive business solutions: AI for Work, AI for Service, and AI for Process. The Kore.ai Agent Platform enables standardized development and deployment of agentic capabilities at scale, providing control and flexibility for customers. As a Senior NLP Engineer at Kore.ai, you will lead and manage a team of NLP engineers and scientists. Your responsibilities include designing and developing innovative NLP solutions for various business problems, staying updated on the latest advancements in NLP research, collaborating with cross-functional teams for successful NLP integration, overseeing data pipeline efficiency, developing and maintaining NLP models, evaluating model performance, and sharing NLP knowledge within the team and organization. You will also identify and prioritize new NLP use cases, recruit talented NLP engineers, and continuously learn to stay abreast of the latest machine learning and AI developments. To excel in this role, you must have a minimum of 5 years of hands-on experience in Natural Language Processing, proficiency in Python programming, and a strong understanding of NLP techniques such as deep learning, machine learning, and statistical methods. Experience with NLP frameworks and libraries like TensorFlow, PyTorch, spaCy, and NLTK is essential. The ability to implement NLP aspects in non-English languages, understand NLP model architecture, and scale applications for high volumes of requests are key requirements. Additionally, skills in fine-tuning large language models for Gen AI tasks, testing and evaluating machine learning models, developing process pipelines for Gen AI use cases, and applying machine learning algorithms for NLP are crucial. Appreciated skills include knowledge of reinforcement learning, big data management tools, Node.js, scripting, content categorization algorithms, and research in natural language processing algorithms. Qualifications for this role include a graduate degree in Engineering or a Masters in Computer Applications. If you are passionate about driving business growth through AI and possess the required experience and skills, we invite you to join our team at Kore.ai and be part of shaping the future of enterprise AI.,

Micoworks is a company dedicated to empowering brands for a better future, with a clear vision and core values driving its mission. By 2030, Micoworks aims to become the leading Brand Empowerment Company in Asia. To achieve this goal, Micoworks emphasizes four key values: WOW THE CUSTOMER, SMART SPEED, OPEN MIND, and ALL FOR ONE. These values underscore the company's commitment to empowering brands, working with agility, and prioritizing customer success through innovation. As an Agentic AI Intern at Micoworks, you will collaborate with a team of engineers, data scientists, and researchers to develop, implement, and optimize AI models and applications. This role offers hands-on experience in AI and machine learning, exposing you to real-world problem-solving scenarios in an office setting. Your responsibilities will include developing and training AI models, working with large datasets for analysis, optimizing AI algorithms, collaborating with cross-functional teams, and contributing to the deployment of AI models under senior team members" supervision. Additionally, you will engage in code reviews, stay updated on AI trends, and assist in enhancing AI tools and applications for business use cases. Desired skills and qualifications for this role include pursuing or recently completing a degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proficiency in programming languages like Python, R, or Java, along with familiarity with machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn, is essential. Strong analytical skills, knowledge of statistical methods, and the ability to work collaboratively in a team environment are also crucial. Good communication skills are required to effectively convey technical concepts. It would be advantageous to have prior internship experience or personal projects related to AI/ML, knowledge of cloud platforms like AWS, Google Cloud, or Azure, and experience with Natural Language Processing (NLP) or Computer Vision (CV). Join Micoworks to gain hands-on experience with cutting-edge AI technologies, receive mentorship from industry experts, and work on real-world AI projects that directly impact business outcomes. You will have the opportunity to thrive in a collaborative, innovative work environment with a flexible, inclusive, and growth-oriented culture.,

As an AI/ML Engineer specializing in open-source Large Language Models (LLMs) for the Banking, Financial Services, and Insurance (BFSI) domain, your primary responsibility will be to design, develop, and deploy LLMs that enhance customer interaction, operational efficiency, and data-driven decision-making. In this role, you will collaborate closely with cross-functional teams to create innovative AI solutions for the BFSI sector. Your key responsibilities will include developing and implementing open-source LLMs tailored for BFSI applications, working with product managers, data scientists, and software engineers to define use cases and deliver high-quality solutions, conducting experiments and optimizing models using real-world datasets, monitoring LLM performance in production environments, and refining models based on feedback and usage data. You will also be responsible for ensuring adherence to security, compliance, and scalability standards, staying updated with AI/ML advancements, contributing to best practices, and documenting models, workflows, and methodologies in detail. To qualify for this role, you should possess a Bachelor's degree in Computer Science, Engineering, or a related technical field, along with a minimum of 2 years of hands-on AI/ML development experience, preferably in the BFSI industry. You must have a proven track record of building and deploying AI/ML solutions to production, strong programming skills in Python or Java, proficiency in open-source ML frameworks like TensorFlow or PyTorch, industry experience with open-source LLM ecosystems, and a solid understanding of machine learning algorithms, data structures, and statistical methods. Additionally, experience in data preprocessing, feature engineering, and model evaluation, along with strong analytical thinking, problem-solving abilities, and excellent communication skills are essential for this role. The interview process for this position will consist of a Technical Interview conducted by a Senior AI Engineer, followed by a Technical/Product Interview conducted by a Senior Product & Tech Lead. Remember, coding skills will be assessed during the interviews, and the use of AI agents or search engines is strictly prohibited. If you are passionate about AI/ML, have a strong technical background, and are looking to make a significant impact in the BFSI sector through innovative AI solutions, we encourage you to apply for this exciting opportunity.,