1143 Statistical Modeling Jobs - Page 8

As a key member of our Data Science team, you will be responsible for developing innovative AI ML solutions across diverse business domains This includes designing, implementing, and optimizing advanced analytics models to address complex business challenges and drive data-driven decision making Your core responsibility will be to extract actionable insights from large datasets, develop predictive algorithms, and create robust machine learning pipelines You will collaborate closely with cross-functional teams including business analysts, software engineers, and product managers to understand business requirements, define problem statements, and deliver scalable solutions Additionally, you'll be expected to stay current with emerging technologies and methodologies in the AI/ML landscape to ensure our technical approaches remain cutting-edge and effective Desired Skills and experience Demonstrated expertise in applying advanced statistical modeling, machine learning algorithms, and deep learning techniques. Proficiency in programming languages such as Python data analysis and model development. Proficiency in cloud platforms, such as Azure, Azure Data Factory, Snowflake, Databricks. Experience with data manipulation, cleaning, and preprocessing using pandas, NumPy, or equivalent libraries. Strong knowledge of SQL and experience working with various database systems and big data technologies. Proven track record of developing and deploying machine learning models in production environments. Experience with version control systems (e.g., Git) and collaborative development practices. Proficiency with visualization tools and libraries such as Matplotlib, Seaborn, Tableau, or PowerBI. Strong mathematics background including statistics, probability, linear algebra, and calculus. Excellent communication skills with ability to translate technical concepts to non-technical stakeholders. Experience working in cross-functional teams and managing projects through the full data science lifecycle. Knowledge of ethical considerations in AI development including bias detection and mitigation techniques. Key Responsibilities Analyze complex datasets to extract meaningful insights and patterns using statistical methods and machine learning techniques. Design, develop and implement advanced machine learning models and algorithms to solve business problems and drive data-driven decision making. Perform feature engineering, model selection, and hyperparameter tuning to optimize model performance and accuracy. Create and maintain data processing pipelines for efficient data collection, cleaning, transformation, and integration. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Evaluate model performance using appropriate metrics and validation techniques to ensure reliability and robustness. Present findings, visualizations, and recommendations to stakeholders in clear, accessible formats tailored to technical and non-technical audiences. Stay current with the latest advancements in machine learning, deep learning, and statistical methods through continuous learning and research. Develop proof-of-concept applications to demonstrate the value and feasibility of data science solutions. Implement A/B testing and experimental design methodologies to validate hypotheses and measure the impact of implemented solutions. Document methodologies, procedures, and results thoroughly to ensure reproducibility and knowledge transfer within the organization.

Our people work differently depending on their jobs and needs From hybrid working to flexible hours, we have plenty of options that help our people to thrive, This role is based in India and as such all normal working days must be carried out in India, Job Description Join us as a Data Scientist Well look to you to lead, drive and embed the design and implementation of data science tools and methods which harness our data in order to drive customer solutions Youll also proactively bring together statistical, mathematical, machine learning and software engineering skills to develop and implement ethically sound models end-to-end This is an opportunity for you to hone your skills and make an impact by applying a software engineering and product development lens to solve complex business problems We are offering this role at vice president level What you'll do As a Data Scientist, youll use data translation skills to work closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through advanced analytics, making sure new and existing solutions are designed with a Group mindset, Youll also understand the complex requirements and needs of business stakeholders along with developing strong relationships, forming hypotheses and identifying suitable data and analytics solutions to meet those needs in order to support our business strategy, In addition, youll be: Articulating advanced data and analytics opportunities, bringing them to life through data visualisation in a way that business stakeholders can understand and engage with understanding the benefits, trade-offs and ethics Leading both direct reports and wider teams in an agile way within multi-disciplinary data and analytics teams to achieve agreed project and scrum outcomes Selecting, building, training and testing complex machine learning models considering model valuation, model risk, governance and ethics, making sure there is no bias at build to ensure models are ready to implement and scale Leading and delivering stakeholder engagement activities to develop effective project working relationships making sure that stakeholder needs and concerns are identified and met Identifying opportunities to support our external customers using data science expertise and capability aligned to our Group strategy Exploring data, making sure golden source data is used appropriately to identify the correct approaches to extract the most value and establishing best practice for machine learning development, data access and procurement The skills you'll need Were looking for someone who comes from an academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science and understands exploratory data analysis Youll have experience with statistical modelling and machine learning techniques along with programming language and software engineering fundamentals, Youll also have: Expertise in data science, analytics, and machine learning Proven proficiency in Python and relevant libraries such as Pandas, NumPy, Scikit-learn coupled with experience in data visualisation tools, Knowledge of AWS Sagemaker is preferred Experience in synthesising, translating and visualising data and insights for key stakeholders Leadership and coaching experience along with good knowledge of Cloud applications Good communication skills with the ability to proactively engage and manage a wide range of stakeholders Show

What The Candidate Will Need / Bonus Points ---What the Candidate Will Do ---- Scope & Impact: You will have the opportunity to collaborate with multiple cross-functional global teams to deliver scalable data solutions wherein the expectation is to -> Build scalable analytical frameworks to support product analytics for Uber's Customer Obsession Platform Be an invaluable partner to product managers, engineers, operations, & various data teams to help create and execute the direction of the product roadmap which includes scoping the business problem, providing a data lens to product design, owning the experimentation cycle to full global rollouts and eventually impact estimation & long term monitoring, Proactively communicate insights and drive projects to drive towards team goals Ensure data quality across critical pipelines and to set up processes to triage data issues Build & maintain critical data pipelines, insight boards & monitoring tools that help track metrics to measure and monitor platform health Seek out opportunities to build new solutions to tackle Customer & Business pain points Basic Qualifications 2+ years of work experience with a Bachelor's Degree OR 1+ years of work experience with a Master's Degree Work experience should be in a data-focused role such as product analytics, risk analytics, business analytics, business operations, or data science Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience Proven competency in statistical languages like SQL, SAS, R and/or in modern programming languages like Python Past experience with a Product / Tech / Analytics Services company serving businesses with millions of customers on multiple platforms and countries Preferred Qualifications SQL mastery Write efficient and complex code in SQL Experience in Python/R, Experimentation methods like A/B testing, and Statistical modelling is preferred Experience in Customer Service related domains with a Product / Technology / Analytics Services company is a plus Proven ability to handle and visualise large datasets, explore and utilise raw data feeds Love of data One should have the zeal to just go get the required data and turn it into an insightful story Ability to build a structured approach to problem-solving that leads to high quality hypotheses Strong sense of ownership, accountability, and entrepreneurial spirit Effective communicator & proactive collaborator Independent & autonomous, while still a strong team player Enthusiastic, self-starting and thrives in changing, agile environments Show

CRISIL is looking for Credit Analyst to join our dynamic team and embark on a rewarding career journey Review credit applications and perform credit checks Structure deals and perform risk assessments Draft models of credit information that predict trends and patterns Assessing, analysing and interpreting complicated financial information Undertaking risk analysis by developing statistical models Proficient in Microsoft Office Advanced Excel skills

Role & responsibilities What you will be doing The team is currently looking for a Data Analyst to be jointly responsible for the data standardisation, modelling, and forecasting of various demographic, socio-economic, and macroeconomic data meeting client needs and deadlines. This role demands a high level of analytical skill, proactive problem-solving, and commitment to continuously improving data modelling and forecasting techniques, as well as exploring and implementing new methods to improve data comparability and quality. drivers - Analyze and manipulate datasets, carrying out calculations and numerical analysis using R. Standardize raw statistical data to ensure cross-source comparability. Extrapolate and interpolate data using both quantitative and qualitative methods to develop modelling and forecasting techniques. Monitor, review, and enhance data quality. Document all work processes to ensure team alignment and best practices. Liaise with sales and marketing departments and handle client queries. What youll need- Background in mathematics, econometrics, data science, statistics or similar fields. Proficiency in R. Basic knowledge of Python. Experience in data manipulation, statistical analysis and time series forecasting. Excellent communications skills and fluency in English (both oral & written). Strong organizational skills, creativity and attention to detail. Ability to work on own initiative. What you will get - Professional Development: Grow your career with opportunities within a consultative and professional environment Flexible Work Schedule: Achieve a healthy work-life balance with our flexible work schedule options, including remote work opportunities and flexible hours Positive Work Environment: Join a collaborative and inclusive workplace culture where your ideas are valued, diversity is celebrated, and teamwork is encouraged Community Involvement: Make a positive impact in the community through our volunteer programs, charitable initiatives, and corporate social responsibility efforts (and more.!) Our Values We act with integrity We are curious about the world We are stronger together We seek to empower We find strength in diversity Preferred candidate profile

Cradlepoint is seeking a Senior Data Scientist to develop AI/ML methods, processes, and systems that extract knowledge and insights, driving the future of artificial intelligence. You will undertake data science tasks, perform advanced statistical analysis, and translate data into actionable insights for the business, identifying trends and measuring performance to address key business problems. You will collaborate with business and process owners to understand business issues and with engineers to implement and deploy scalable solutions. What You Will Do: Key Responsibilities Apply and/or develop statistical modeling techniques such as deep neural networks, Bayesian models, Generative AI, and Forecasting, along with other Machine Learning (ML) techniques. Synthesize complex problems into data question(s) , guiding the analytical approach. Convert raw data into practical and actionable insights that drive business value. Analyze and investigate data quality for identified data, communicating findings to Product Owners, Business Analysts, and other relevant stakeholders. Collect, explore, and perform analysis on data to extract information suitable for business needs. Identify data gaps, aggregate data as per business requirements, and design and perform Data Analysis, Data Validation, Data Transformation, and Feature Extraction . Decide on the approach for addressing business needs with Data & Analytics. Understand end-user needs and work accordingly to identify new features in the data. Develop Data Science and Engineering Infrastructure & Tools . Derive key metrics suitable for the use-case and present the analysis to key stakeholders effectively. What You Will Bring: Required Qualifications A Bachelor's or higher degree in Computer Science, Statistics, Mathematics, or related disciplines. Ability to analyze data and communicate outcomes to key stakeholders , exploring new data sources. Excellent coding skills in Python, R, SQL , etc. Understanding of cloud services . Evidence of academic training in Statistics . Deep/broad knowledge of machine learning, statistics, optimization , or a related field. A genuine curiosity about new and applied technology and software engineering , coupled with a high degree of business understanding. Experience in Generative AI and Large Language Models (LLMs) . Preferred Qualifications Experience in large-scale product development is a plus.

As a Manager/Sr Manager in Credit Decisioning Scorecard and/or Credit Risk Strategy Development at Genpact, you will play a crucial role in developing various types of credit scorecards and risk strategies for banking and financial institutions. Your responsibilities will include providing analytical support, assessing data quality, developing and calibrating credit decision scorecards, designing credit risk strategies, and leading the development of model methodologies and diagnostic tools. You will work as a consultant for the centralized advanced analytics team of a banking or financial firm. Your day-to-day activities will involve recommending actions to mitigate risk, improving data quality for model development, handling data and quantitative analysis, and leading the development of model methodologies and algorithms. Additionally, you will be responsible for documenting model techniques, conducting validation activities, drafting technical documents, and contributing to the creation of whitepapers. The qualifications we are looking for include hands-on experience in developing credit risk scorecards and strategies, statistical modeling expertise, knowledge of AI and ML techniques, proficiency in data analysis tools like SQL, ETL, SAS, Python, and R, a master's degree in a quantitative discipline, strong client management and communication skills, self-driven attitude, project management experience, and the ability to lead projects and teams. Preferred qualifications include networking and influencing skills, rich experience in BFS analytics and credit risk modeling. If you are a proactive individual with a can-do attitude, strong technical skills, and the ability to work under ambiguity and time-sensitive commitments, we invite you to join our team at Genpact and contribute to shaping the future of global professional services and solutions.,

You will be responsible for conducting model validation, audit, and review primarily for credit loss forecasting models in the retail or wholesale domain, specifically for IFRS9/IRB models, including PD/EAD/LGD components. Your role will involve comprehending relevant regulatory requirements, reviewing development documentation, conducting tests and benchmarking, as well as creating challenger models using SAS, R, or Python, and compiling reports. Additionally, you will provide assistance with other model validation, audit, and review tasks as needed, such as Underwriting scorecards, Credit Scoring, behavioral models, economic scenario models, or validation-related automation activities. Your responsibilities will include performing model validation by assessing conceptual soundness, critically evaluating the testing conducted by developers to ensure the model's integrity and accuracy, and determining its suitability. You will design evaluations to test the model's predictive power and robustness under uncertainty, develop alternative benchmark models, and ensure compliance with regulatory standards. Collaboration and proactive engagement with seniors, AMs, and Managers will be essential to meet key project deliverables. You will take responsibility for key deliverables, engage with Partners/Directors to comprehend project scope and business requirements, and coordinate with onshore and offshore teams for successful delivery. Additionally, you will advise non-audit clients on the implications of evolving provision accounting standards (IFRS9) and assist them in validating or developing credit risk measurement models. Qualifications required for this role include an advanced degree in Mathematics, Statistics, Economics, or other analytical disciplines. A graduate degree plus an MBA in Finance, coupled with relevant experience or exposure, is also considered. Additional certifications such as FRM or CFA are preferred. Preferred candidates will have 2-12 years of experience in Risk Management/Analytics at major banks, top tier consulting firms like Big 4, or captives of well-known banks. Proficiency in programming languages such as Python, SAS, and R is required. Advanced skills in statistical and quantitative modeling, including linear regression, logistic regression, ARIMA, Markov Chain, Merton Model, CHAID, and other predictive modeling techniques are essential. In-depth knowledge of regulatory requirements pertaining to model risk management, such as SR11-7, SR15-18, PRA, and EBA guidelines, is also expected.,

As a Manager, Behavioral Modeler (Development/Validation) & Researcher Specialist at Genpact, you will be responsible for developing or validating Behavioral Models for banking and financial institutions, focusing on areas such as Financial Crime (Fraud or AML), Marketing Campaigns, and Adjudication models. Your role will involve working closely with the centralized advanced analytics team of banking or financial firms, interacting with various business units, auditors, and model development/validation teams to ensure compliance with Enterprise Modeling Governance standards. Your key responsibilities will include providing analytical support to mitigate risk, assessing data quality for model development, developing machine learning-based models, proposing recommendations to improve monitoring systems, conducting in-depth research on behavioral modeling policies, and contributing to the creation of whitepapers and artifacts. You will be expected to have hands-on experience in developing and validating models, risk management, and applying AI, ML, and Deep Learning techniques using tools such as SAS, Python, and R. The qualifications we seek in you include a Master's degree in a quantitative discipline, experience in statistical modeling, detailed knowledge of data analysis techniques, expertise in SQL, ETL, and strong scripting and automation skills. Additionally, you should possess strong client management, communication, and presentation skills, be self-driven, proactive, and have the ability to work under ambiguity and with minimal supervision. You should also have strong project management experience, the ability to lead projects and teams, and demonstrate expertise in communicating and coordinating across multiple business units. Preferred qualifications/skills include strong networking, negotiation, and influencing skills, as well as prior experience in financial crime and machine learning models. If you are a forward-thinking individual with a hunger for learning and a passion for turning innovative ideas into reality, we invite you to apply for this challenging and rewarding role at Genpact. Please note that this is a full-time position based in India-Kolkata, and the job posting was on Oct 7, 2024.,

Are you seeking an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging environment This unique opportunity allows you to collaborate with the Business team to provide a comprehensive view. Join us as an Associate in the Consumer Credit Forecasting team, where you will play a crucial role in executing credit risk loss forecasting models, diagnosing model accuracy, and conducting advanced analyses to evaluate relationships and patterns that impact loss performance. Your responsibilities will include managing process automation, leading documentation for audit controls related to loss forecasting and reserves, and contributing to the success of our team in a fast-paced setting. The Consumer Credit Forecasting team includes the Business Banking Loss Forecasting team, which is responsible for executing models and providing forecasts of delinquencies, charge-offs, and asset recovery throughout the year. Working in partnership with various departments, this team monitors the health of the portfolio and communicates any concerning trends to the business. As a member of the core forecasting team, you will support US credit forecasting functions through analytical insights, new technologies, and predictive analysis. Job Responsibilities: - Execute credit loss forecasting models for the Chase Business Banking portfolio to support regulatory exercises such as CCAR, CECL, Risk Appetite, and Budget planning - Analyze loss forecasting results and propose model changes for accuracy at granular segments - Collaborate cross-functionally with Risk Management, Finance, Marketing, and Collections to incorporate strategic initiatives into the forecast - Conduct macro sensitivity analytics, loss attribution, and deep dives to assess relationships driving loss performance - Manage process automation using Excel, VBA, Python, or SAS - Develop comprehensive documentation for audit controls related to loss forecasting and reserves - Work on multiple projects with minimal guidance Required Qualifications: - Bachelor's or Master's Degree in a quantitative discipline (Finance/Stats/Econ/Math/Engineering) or equivalent - Minimum 3 years of experience in credit risk analytics, loss forecasting, statistical modeling, or consulting - Proficiency in programming languages such as Python, SAS, and SQL - Expertise in SAS and/or SQL programming (ORACLE, Teradata) - Strong analytical and problem-solving skills with the ability to interpret large datasets - Proficient in Microsoft Office products (Advanced Excel, VBA, PowerPoint) - Well-organized with excellent communication and presentation skills Preferred Qualifications: - Experience collaborating with partners in different geographical locations - Advanced degree in Finance, Economics, Statistics, Mathematics, Computer Science, or related field - Programming language experience including Python or R - Knowledge of regulatory standards such as IFRS9, CECL, CCAR - Experience in mortgage, mortgage servicing, or risk analytics is desirable Join our team and be part of a challenging and rewarding environment where you can contribute to our success and develop your skills in credit forecasting and analytics.,

As a Data Scientist with 7-8 years of experience, you will be responsible for utilizing your expertise in AWS cloud and machine learning within the health domain. You will primarily work on processing large datasets, conducting exploratory data analysis, and extracting valuable insights to support decision-making processes. Your proficiency in Python or R along with data visualization methods will be crucial for this role. The ideal candidate should have a strong background in data analysis and be adept at handling complex datasets. Familiarity with healthcare or mental health datasets is preferred, along with a solid understanding of database querying and data transformations. Your problem-solving skills and meticulous attention to detail will play a key role in deriving actionable insights from the data. In addition to technical skills, effective communication is essential for this role. You will be required to communicate your findings and recommendations clearly and collaborate with team members effectively. While working independently when necessary, a collaborative attitude will enhance your contribution to the team. Preferred qualifications include prior experience in healthcare or mental health datasets, a background in statistical modeling or machine learning, and familiarity with socio-demographic data analysis. If you are a data-driven professional looking to make a meaningful impact in the healthcare domain, this role offers an exciting opportunity to apply your skills and expertise effectively.,

You will be working as a Machine Learning Intern for a duration of 6 months with a stipend of 20k per month. The internship involves a hybrid mode of working, with 3 days in the office and 2 days working from home. Your primary responsibilities will include designing and implementing cutting-edge machine learning models for complex tabular and time series data problems. Additionally, you will be tasked with developing innovative feature engineering techniques to maximize the value extracted from datasets. Researching and applying state-of-the-art algorithms in areas like automated machine learning (AutoML) and neural architecture search will also be part of your role. Furthermore, you will optimize models for performance and scalability in resource-constrained environments, contribute to the development of the company's core ML infrastructure and pipelines, and collaborate on end-to-end ML projects from problem definition to deployment and monitoring. Your involvement in strategic discussions to identify new opportunities for ML applications within the business and conducting independent research to stay updated on the latest ML advancements for tabular and time series data will be crucial. To excel in this role, you should possess a strong theoretical understanding of machine learning concepts, statistical modeling, and optimization techniques. Proven experience in developing and deploying ML models for tabular and time series data, along with advanced programming skills in Python and expertise in ML libraries and frameworks, is essential. Proficiency in working with large-scale datasets and distributed computing environments, as well as experience with modern ML techniques such as gradient boosting, neural networks, and ensemble methods, are also required. Preferred qualifications include contributions to open-source ML projects or research publications, as well as experience with cloud-native ML development and deployment. This internship offers a unique opportunity to work on cutting-edge AI and blockchain intersection projects, contributing to the company's growth and innovation in the field of machine learning.,

The Intermediate Analyst in Specialized Analytics is a developing professional role with the ability to independently solve most problems and address complex issues. By combining specialized knowledge with industry standards, you will contribute to achieving sub function objectives. Your role involves applying analytical thinking, utilizing data analysis tools, and maintaining attention to detail when making recommendations based on factual information. You will play a key role in interpreting data, breaking down information systematically, and communicating effectively. Your strong communication and diplomacy skills will be essential for exchanging complex information and collaborating closely with core business activities. The quality and timeliness of your service will directly impact the effectiveness of your team and related teams. Responsibilities: - Work with large and complex data sets to evaluate, recommend, and support business strategies - Identify and compile data sets using tools such as SQL and Access to predict, improve, and measure key business outcomes - Document data requirements, collection, processing, cleaning, and exploratory analysis - Specialize in marketing, risk, digital, and AML fields - Evaluate risks in business decisions to safeguard Citigroup and ensure compliance with laws and regulations Qualifications: - 2-5 years of relevant experience - Proficiency in data retrieval and manipulation - Strong analytic and problem-solving skills - Experience in a quantitative field - Willingness to learn with a can-do attitude - Excellent communication and interpersonal skills - Ability to build partnerships with cross-functional leaders Education: - Bachelor's/University degree or equivalent experience This job description offers an overview of the role's responsibilities, with the possibility of additional duties as needed. Desired Skills (Good to have): - Marketing analytics experience - Familiarity with digital marketing and/or digital experience domains - Experience with Clickstream data and big data environments like Hadoop - Predictive modeling using Machine Learning techniques - Customer Journey analytics experience - Proficiency in Python, SQL, MS Excel, and PowerPoint - Exposure to journey analytics tools like ClickFox, BryterCX, or Pointillist - Experience in Hive Citigroup Inc. is an equal opportunity employer, providing career opportunities for qualified applicants. If you require accommodation due to a disability, please review the Accessibility at Citi guidelines.,

You will be joining a leading AI-driven Global Supply Chain Solutions Software Product Company, recognized as one of Glassdoor's Best Places to Work. As a Data Science Consultant in our Supply Chain Management team, your primary responsibility will be to utilize data-driven insights for optimizing supply chain processes, enhancing decision-making, and achieving business results. Collaborating with cross-functional teams, you will employ advanced data analytics, machine learning, and optimization techniques to improve supply chain efficiency, forecast demand, and address complex operational challenges. Your key responsibilities will include: - Conducting Data Analysis & Modeling: Analyze large, complex datasets related to demand forecasting and supply planning to extract actionable insights. - Implementing Machine Learning Techniques: Apply statistical and machine learning methods to forecast demand, involving data ingestion, visualization, feature engineering, model configuration, fine-tuning, and clear presentation of results. - Utilizing Supply Chain Optimization Algorithms: Deploy optimization algorithms to enhance supply chain efficiency, reduce costs, and improve service levels. - Providing Consulting & Advisory Support: Serve as a subject matter expert in supply chain analytics, offering guidance on best practices and strategies for effective supply chain management. - Driving Process Improvement: Identify inefficiencies within the supply chain and propose data-driven strategies for continuous enhancement. We are looking for candidates with the following qualifications: - Educational Background: Bachelors or Masters degree in Data Science, Computer Science, Industrial Engineering, Operations Research, Supply Chain Management, or a related field. - Experience: 5-12 years of experience in data science or Supply Chain Operations Analytics, with a focus on forecasting projects utilizing statistical/ML models and data visualization tools. - Technical Skills: Proficiency in data science tools and programming languages such as Python, R, SQL, along with experience in supply chain management platforms/processes. Strong applied statistics skills are required. - Machine Learning Expertise: Hands-on experience with machine learning techniques/algorithms (e.g., regression, classification, clustering) and optimization models. - Industry Knowledge: Familiarity with supply chain processes like demand forecasting, inventory management, procurement, logistics, and distribution. - Analytical Thinking: Strong problem-solving abilities to analyze complex data sets and translate insights into actionable recommendations. - Personal Competencies: Ability to work independently or as part of a team in a consulting environment, attention to detail in managing large data sets, and effective communication skills for presenting findings to non-technical stakeholders. If you resonate with our core values and are passionate about fostering diversity, inclusion, value, and equity, we invite you to be a part of our team at Blue Yonder. Explore our Diversity Report and join us in celebrating the differences that make us stronger together.,

The Data Analytics Intmd Analyst position is ideal for a developing professional who can independently handle most problems and has the flexibility to solve complex issues. By merging in-depth specialty area knowledge with a strong understanding of industry standards and practices, you will contribute towards achieving the objectives of the subfunction/job family. Your role will involve applying analytical thinking and utilizing data analysis tools and methodologies to make informed judgments and recommendations based on factual information. Your responsibilities will include integrating in-depth data analysis knowledge with industry standards, understanding how data analytics teams collaborate with others to achieve objectives, applying project management skills, and utilizing analytical thinking for accurate judgments and recommendations. You will also be expected to break down information systematically, communicate effectively, and ensure the quality and timeliness of service provided by the team. As an Intmd Analyst, you will be required to provide informal guidance or on-the-job training to new team members, assess risks when making business decisions, and prioritize the firm's reputation and compliance with laws and regulations. Your expertise in Hadoop, Python, Spark, Hive, RDBMS, and Scala, along with knowledge of statistical modeling tools for large data sets, will be crucial for success in this role. To qualify for this position, you should have at least 5 years of relevant experience, strong expertise in the mentioned technologies, and the ability to effectively use complex analytical, interpretive, and problem-solving techniques. Excellent interpersonal, verbal, and written communication skills are also essential. A Bachelor's/University degree or equivalent experience is required for this role. This job description provides an overview of the primary duties involved, and additional responsibilities may be assigned as needed. Citi is an equal opportunity and affirmative action employer, offering a full-time position in the Technology job family group, specifically in Data Analytics. If you are a person with a disability and require accommodations to apply for a career opportunity at Citi, please review the Accessibility at Citi guidelines.,

You are Goodyear's next Data Analyst for the Demand Planning team. In this role, you will be responsible for analyzing and forecasting demand patterns, optimizing inventory, and ensuring efficient supply chain operations. Your key focus will involve collaborating with various teams such as supply chain, sales, and marketing to drive demand planning processes based on accurate data insights and predictive analytics. Your primary duties and responsibilities will include: - Conducting demand forecasting by analyzing historical sales data, market trends, and other factors to develop precise demand forecasts for different products and regions. - Developing and maintaining statistical models and demand planning tools to predict future demand and identify trends. - Assisting in creating short-term and long-term demand forecasts aligned with company objectives and market conditions. - Collecting, cleaning, and analyzing large datasets to uncover insights related to demand patterns, seasonality, product performance, and market dynamics. - Generating regular reports on demand forecasts, inventory levels, and supply chain performance for key stakeholders. - Monitoring demand and supply variations to provide actionable insights for risk mitigation. - Working closely with cross-functional teams to align demand planning with business strategies, promotions, and seasonal fluctuations. - Supporting inventory management by analyzing stock levels and recommending adjustments based on demand trends and product lifecycle. - Continuously evaluating and improving demand planning tools, processes, and methodologies. - Tracking key performance metrics such as forecast accuracy, inventory turnover, demand variability, and order fulfillment rates. - Analyzing root causes of demand forecast errors and implementing best practices for continuous improvement. Goodyear, a global tire company with a workforce of 74,000 people and manufacturing facilities in 23 countries, is dedicated to developing cutting-edge products and services through its Innovation Centers in Akron, Ohio and Colmar-Berg, Luxembourg. Join us in setting the technology and performance standard for the industry. For more information about Goodyear and its products, visit www.goodyear.com/corporate.,

vConstruct , a Pune based Construction Technology company seeks a Senior Data Scientist for their Data Science and Analytics team which is a tight-knit group of Data Scientists and AI Engineers along with Data Analysists and Data Engineers that support all data aspects of DPR business. This team drives up with passion of Transforming this Construction Industry by the use of cutting edge technology enabled with strong AI/ ML Solutions. Here, each and every data point starting from Pre-Construction to Post-Construction process are touch-based to leverage this data for getting predictable outcomes and automating processes for better efficiency. This team helps on various domains of construction such as Scheduling, Planning, Supply Chain, Safety, Quality Control, Site Management, Financials, & Virtual Design Construction in every phase of projects. Gain the opportunity for working over Computer Vision, Predictive, Gen AI & LLM related use cases with variety of tech stack included for implementation. Majorly, MS Azure AI Services, Open AI, CV Libraries and ML for predictive outcomes with Stats as base. Be a part of this vision of Transforming Construction Industry by Use of Technology and play vital role with talented team within vConstruct.If you're interested in contributing to construction technology within the AI/ML space, gaining exposure to the latest technologies, and working directly with end customers, please apply via the link. Location: Pune: Magarpatta or Baner Key Responsibilities: Think strategically & collaborate with cross-functional teams to identify business use cases and solutionize with scalable technical solutions. Analyze construction project data and develop predictive models using traditional data science methods and Generative AI. Apply machine learning algorithms to improve key processes such as project execution, safety, and risk assessment. Design, Lead & Own scalable end-to-end development of predictive, ML models, from hypothesis generation to deployment and monitoring. Build, validate, and optimize machine learning and statistical models using best-in-class techniques. & QC models developed by Jr. Data Scientists and ML Engg. Work closely with Engineering & business team to understand the data, business terms, processes to create, suggest and implement solutions accordingly. Stay current with advancements in data science and machine learning to help leveraging Companys data. Use statistical techniques to detect anomalies and optimize operational workflows, ensuring projects are delivered on time and within budget Collaborate with product managers and business leaders to drive the implementation of data-driven decisions. Plus to have ability of visualizing insights using BI tools. Qualification: Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 5-8 years of professional experience with atleast 3 years of experience in data science, machine learning, and analytics, with a proven track recordof delivering impactful data-driven solutions. Experience working in dynamic, fast-paced environments, with the ability to manage multiple projects simultaneously as well as should be able to do production or work on project personally as required. Proven Experience, Strong business acumen and ability to translate technical insights into actionable business strategies & communicate to stakeholders in business language. Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Technical Skills: Expertise in programming languages such as Python, R, or Scala. Proficiency in machine learning, AI & Statistics frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong experience in statistical modeling, predictive analytics, clustering, classification, regression & multi-variate techniques. Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib). Familiarity with cloud platforms (AWS, Azure preferably), knowledge about Azure ML Services & Snowflake would be plus one Strong understanding of SQL and working with relational databases. Good to have knowledge of NLP(Natural Language Processing) and Computer Vision.

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About The Role : Job Title- Name and Transaction Screening Model Strats, AVP Location- Bangalore, India Role Description Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Banks business and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. You will work within the Global Strategic Analytics Team and lead a team of 5 Associates to support a global model strategy and deployment of Name & Transaction Screening. To be successful in that role, you will be familiar with the most recent data science methodologies and have a delivery-centric attitude, strong analytical skills, and a detail-oriented approach to breaking down complex matters into more understandable details. You will work in a collaborative global team and focus on people development and career growth. The purpose of Name & Transaction Screening is to identify and investigate clients and customer transactions that come into scope per sanctions screening requirements, to understand if that activity is considered suspicious from a financial crime perspective, and to report that activity to the government. Reporting to the Name & Transaction Screening Lead within Trader and Client Control Strats, you will be responsible for implementing and maintaining the models for Name & Transaction Screening. You will help ensure that all relevant criminal risks, typologies, products, and services are properly monitored. We are looking for a high-performing Assistant Vice President with 5+ years of experience in financial crime model development, tuning, and analytics to support the global strategy for screening systems across Name Screening (NLS) & Transaction Screening (TS). This role offers the opportunity to drive key model initiatives within a cross-regional team and contribute directly to the banks risk mitigation efforts against financial crime. You will drive model tuning and development efforts, support regulatory deliverables, and collaborate with cross-functional teams including Compliance, Data Engineering, and Technology. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Model Development & Tuning Manage a team of 5 Associates to support the design and calibration of models for NLS and TS systems, ensuring optimal detection quality and manageable alert volumes. Support data exploration, feature engineering, and statistical analysis to inform tuning strategies. Document model logic, decisions, and outcomes in line with governance and validation standards. Project Engagement Contribute to specific model projects, from requirements gathering through to development, testing, and implementation. Coordinate small teams or working groups for agile delivery, working with developers, QA, and operations stakeholders. Performance Monitoring & Validation Support Monitor model performance metrics and investigate anomalies in production environments. Partner with model validation and internal audit to respond to queries and provide supporting analysis. Stakeholder Engagement Liaise with regional Compliance teams and operational users to gather feedback on model effectiveness. Contribute to presentations and technical reports for governance forums and senior stakeholders. Process Improvement Contribute to continuous improvement of the model development framework and documentation standards. Proactively identify opportunities for automation, efficiency, or application of advanced analytics. Your skills and experience Experience: 5+ years in model development, risk analytics, or quantitative compliance, preferably within financial crime or sanctions screening. Familiarity with financial crime systems (e.g., Actimize, Fircosoft, or equivalent platforms) and regulatory frameworks (e.g., AMLD, OFAC, FCA guidance). Technical Skills: Recent and relevant hands-on experience in SQL, Python for data analysis and model development. Strong Excel and data visualization skills; experience using Power BI or Tableau is a plus. Understanding of statistical techniques such as threshold optimization, precision/recall, ROC curves. Soft Skills: Strong analytical and problem-solving abilities. Ability to communicate complex technical content to non-technical stakeholders. Highly organized, with strong attention to detail and documentation quality. How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Job Description Job Overview: We are seeking an experienced Lead Model Developer with exceptional expertise in credit risk modeling, especially the wholesale portfolio (banks, corporate, specialized lending, real estate, non-banking). The ideal candidate will bring deep domain knowledge and advanced technical skills to drive sophisticated credit risk modeling initiatives across wholesale portfolios. Position Details: Location: Bangalore, India Experience Level: 3 to 8 years Employment Type: Full-time Key Responsibilities: Lead end-to-end development of advanced credit risk models, including PD, EAD, LGD models compliant to IRB Standards Conduct comprehensive data preparation, preprocessing using tools including SAS, Python, R, and SQL Design, build, calibrate and implement robust credit risk models across wholesale portfolios with rigorous User Acceptance Testing (UAT) Collaborate with cross-functional stakeholders to analyze, interpret, and communicate complex model results and insights Develop comprehensive technical documentation including: Model documentation Business Requirements Documents (BRD) Validation reports Regulatory compliance documentation Drive continuous model improvement through: Identifying optimization opportunities; Implementing advanced modeling techniques; Enhancing model performance and predictive accuracy Provide mentorship and technical guidance to junior team members, fostering a culture of knowledge sharing and professional development Required Qualifications: 3 to 8 years of hands-on experience in credit risk model development Proven expertise in modeling across wholesale/LDP credit portfolios Advanced proficiency in: SAS, Python, R, SQL Strong knowledge of capital models (IRB approach) Exceptional analytical and problem-solving skills Excellent written and verbal communication abilities Preferred Qualifications: Advanced degree in Statistics, Mathematics, Economics, or related field Professional certifications in risk management or financial modeling Experience with machine learning and advanced statistical modeling techniques Knowledge of Basel regulatory requirements Technical Skills: Model Development: PD, LGD, EAD Programming: SAS, Python, R, SQL Regulatory Knowledge: IRB (must) Data Preprocessing / Statistical Modeling / Machine Learning Techniques

The candidate for this position will focus on Data Unification across different data assets, enabling a single unified view of data from multiple sources and support the development of new innovative data driven cyber products, services and actionable insights. The Role Partner with various teams (i.e., Product Manager, Data Science, Platform Strategy, Technology) on data needs/requirements in order to deliver data solutions that generate business value. Perform statistical modelling, aggregation and processing to drive and enable relevant insights from available data sets. Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques. Identify innovative ideas and deliver proof of concepts, prototypes to deliver against the existing and future needs and propose new products, services and enhancements. Identify and Integrate new data assets which increase the value proposition for our customers and enhance our existing solutions and services. Analyse large volumes of transaction and product data to generate insights and actionable recommendations to drive business growth Collect and synthesize feedback from clients, development, product and sales teams for new solutions or product enhancements. Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions. All About You B.Tech /M.Tech /Masters from Premium Institute with 2-5 years of overall experience. Proficiency in one of the programming language preferably Java, Scala or Python. knowledge of data mining, machine learning algorithms and tools Data modeling, programming, querying, data mining and report development using large volumes of granular data to deliver business intelligence and custom reporting solutions. Strong interest in current affairs and news media Strong oral and written communication skills (presentations, publishing papers, blogs) Self-starter with passion for solving problems High energy level; flexible, adaptive and strong collaborator Well planned, organized & structured to manage time & work effectively

Analytical Method Development & Validation : Develop and validate analytical methods for assay, dissolution, related substances, and content uniformity as per ICH guidelines. Troubleshoot and optimize analytical methods for new and existing OSD products (tablets, capsules, etc.). Routine Analysis & Documentation : Conduct analysis of raw materials, in-process samples, and finished products. Prepare and review protocols, reports, method validation documents, and specifications. Stability Studies : Execute and monitor stability studies as per ICH guidelines. Generate stability data and interpret results to support product registration. Instrumentation Handling : Operate and maintain sophisticated analytical instruments like HPLC, UV, FTIR, Dissolution Apparatus, GC, etc. Ensure proper calibration and upkeep of instruments. Regulatory Compliance : Ensure all analytical activities comply with GLP/GMP and regulatory requirements. Support regulatory submissions (ANDA, CTD, eCTD) with analytical documentation. Cross-functional Support : Collaborate with formulation, regulatory, QA, and production teams to support product development lifecycle. Participate in technology transfer and scale-up activities. Key Skills : Sound knowledge of analytical chemistry and pharmaceutical analysis. Hands-on experience with HPLC/GC/UV and dissolution testing. Familiarity with ICH guidelines and regulatory requirements for US/EU/ROW markets. Good documentation practices and data integrity awareness. Ability to work in a fast-paced, cross-functional environment.

Working at AxionConnect offers you more than just a job - it's a chance to grow, learn, and thrive in a supportive and inspiring environment. We prioritize the well-being and development of our employees by providing a range of benefits and resources to enhance both their professional and personal lives. From training and mentorship programs to flexible work arrangements and employee engagement initiatives, we are dedicated to ensuring that you have the necessary tools and support to succeed. At AxionConnect, reputation and industry leadership are key. As a prominent ITES brand, we have built a strong reputation for delivering innovative solutions to our clients. With a proven track record of success, we have become a trusted partner in the industry, collaborating with leading organizations across various sectors. Our culture at AxionConnect is one of excellence. We encourage our employees to push boundaries, think creatively, and continuously strive for improvement. By investing in the latest technologies and providing a conducive work environment, we empower our team members to excel in their respective roles. We believe that collaboration and inclusivity drive innovation at AxionConnect. Open communication, teamwork, and knowledge sharing are encouraged, creating an environment where diverse perspectives are valued and embraced. Our inclusive culture enables our employees to thrive and achieve their full potential. Career growth opportunities are abundant at AxionConnect. We are committed to the professional growth and development of our employees by providing ongoing training, mentorship, and advancement opportunities. This allows individuals to expand their skill sets, take on new challenges, and progress in their careers within our organization. If you are passionate about innovation, collaboration, and making a difference, we invite you to join our community at AxionConnect. We are always seeking talented individuals who are driven to excel and thrive in a dynamic and fast-paced environment. Together, we can create meaningful solutions and shape the future of the ITES industry. Ready to take the next step in your career with us Explore the exciting opportunity below: Tech Job: Sr Data Scientist Are you a skilled Data Scientist with expertise in statistical modeling (SAS EG/EMiner, Python), particularly within banking/insurance Join us at AxionConnect to contribute to model development, deployment, and predictive frameworks, leveraging your proficiency in credit risk modeling and machine learning. Turn data into actionable insights in a dynamic, client-centric atmosphere. Key Requirements: - Experience with statistical modeling language - SAS EG/EMiner Python - Knowledge of Analytical applications in the banking/insurance industry - Model development and validation knowledge - Design, development, and deployment of Predictive models and frameworks - Experience with modeling techniques such as Credit Risk Modelling and classification techniques - Passion for data, structured or unstructured - Hands-on experience with Python - Sound experience in data mining, data analysis, and machine learning techniques - Excellent critical thinking, verbal, and written communication skills - Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment - Good presentation skills If you meet these requirements and are ready to take on new challenges, we encourage you to apply and be part of our exceptional team at AxionConnect.,

You are a highly skilled and motivated Lead Data Scientist / Machine Learning Engineer sought to join a team pivotal in the development of a cutting-edge reporting platform. This platform is designed to measure and optimize online marketing campaigns effectively. Your role will involve focusing on data engineering, ML model lifecycle, and cloud-native technologies. You will be responsible for designing, building, and maintaining scalable ELT pipelines, ensuring high data quality, integrity, and governance. Additionally, you will develop and validate predictive and prescriptive ML models to enhance marketing campaign measurement and optimization. Experimenting with different algorithms and leveraging various models will be crucial in driving insights and recommendations. Furthermore, you will deploy and monitor ML models in production and implement CI/CD pipelines for seamless updates and retraining. You will work closely with data analysts, marketing teams, and software engineers to align ML and data solutions with business objectives. Translating complex model insights into actionable business recommendations and presenting findings to stakeholders will also be part of your responsibilities. Qualifications & Skills: Educational Qualifications: - Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or related field. - Certifications in Google Cloud (Professional Data Engineer, ML Engineer) is a plus. Must-Have Skills: - Experience: 5-10 years with the mentioned skillset & relevant hands-on experience. - Data Engineering: Experience with ETL/ELT pipelines, data ingestion, transformation, and orchestration (Airflow, Dataflow, Composer). - ML Model Development: Strong grasp of statistical modeling, supervised/unsupervised learning, time-series forecasting, and NLP. - Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL for large-scale data processing. - Cloud & Infrastructure: Expertise in GCP (BigQuery, Vertex AI, Dataflow, Pub/Sub, Cloud Storage) or equivalent cloud platforms. - MLOps & Deployment: Hands-on experience with CI/CD pipelines, model monitoring, and version control (MLflow, Kubeflow, Vertex AI, or similar tools). - Data Warehousing & Real-time Processing: Strong knowledge of modern data platforms for batch and streaming data processing. Nice-to-Have Skills: - Experience with Graph ML, reinforcement learning, or causal inference modeling. - Working knowledge of BI tools (Looker, Tableau, Power BI) for integrating ML insights into dashboards. - Familiarity with marketing analytics, attribution modeling, and A/B testing methodologies. - Experience with distributed computing frameworks (Spark, Dask, Ray). Location: - Bengaluru Brand: - Merkle Time Type: - Full time Contract Type: - Permanent,

Headquartered in Toronto, Canada Role Overview We are hiring a Senior Data Analyst who can go beyond basic reporting. You must be able to analyze complex datasets across platforms like Meta Ads, Google Ads, Klaviyo, GA4, and Shopify and find insights that directly impact business growth. Your role is to identify performance issues, uncover optimization opportunities, and work with our internal team (strategy, creative, client managers) to turn those insights into clear actions. Key Responsibilities Analyze and interpret large datasets from paid media, email, web, and customer platforms Identify patterns, performance issues, and trends that affect conversion, retention, and revenue Build clean, repeatable dashboards (Google Sheets, Looker Studio, etc.) Lead campaign and flow performance audits, lifecycle behavior analysis, and funnel diagnostics Collaborate with internal stakeholders to drive data-backed execution Design scalable reporting systems and internal tools to reduce manual audits Use AI and automation to streamline recurring analysis tasks Build repeatable and scalable data practices so we can leverage AI to scale analytics Required Skills & Experience 4 - 7 years in data analysis, BI, or growth analytics Experience working with eCommerce or performance marketing datasets ideally from Meta Ads, GA4, Google Ads, Shopify, or Klaviyo Strong with Google Sheets/Excel; confident using Looker Studio or BI tools Exceptional communication: can explain data to copywriters, strategists, and AMs clearly Self-directed, highly detail-oriented, and fast-moving Able to see through the noise and focus on what matters Add this to your application or you wont be considered: Tell us your favorite fruit is strawberry. You Are Not a Fit If: You wait for instruction instead of proactively digging through data You only know how to use pre-built dashboards, not raw performance data You rely entirely on AI and cant explain the why” behind trends You can’t work under pressure or meet sharp turnaround times You won’t work outside normal hours when critical deadlines hit Required Domain Experience These are non-negotiables for this role — do not apply if you do not meet them: Experience in performance marketing, eCommerce, or DTC analytics Direct exposure to Shopify, GA4, ad platforms, or Klaviyo Understanding of business-critical metrics (LTV, AOV, CAC, retention) Bonus (Nice to Have) Familiarity with SQL, Python, or data automation tools Experience in a marketing agency or high-growth startup environment Other Notes Remote, async-friendly Required working hours: 3:30 PM to 11:30 PM IST (6am - 2 pm) (full 8-hour day) Applications that don’t follow the instructions will be rejected without review Final Warning We are not looking for a passive reporting analyst. We are looking for someone who can drive decisions with data, build systems, and move with urgency. If you’re looking for a slow-paced, hands-off data job — this is not it.