42 Statistical Techniques Jobs - Page 2

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates and supervisors. Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 5+ years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

About The Role The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

About The Role The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 7 to 10 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

About The Role The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 7 to 10 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Collaborate with clients to understand their business objectives and provide analytic solutions that positively address their needs. Conduct discovery sessions, workshops and whiteboard sessions to identify, understand and define customer needs, objectives, roadmaps and/or business requirements to design solutions that can best address existing or prospective clients. Conducting stakeholder interviews and workshops to gather and prioritize business requirements. Analysing and documenting current business processes and systems. Identifying opportunities for process improvement, cost reduction, and efficiency gains. Translating business requirements into functional specifications for technical teams. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Collaborating with stakeholders to validate requirements and ensure alignment with business goals. Supporting the implementation and testing of solutions to ensure they meet business needs. Technical and Functional skills: 5 years of experience as a customer facing business analyst with minimum graduation in any field. Analytical ExpertiseProficient in analysing business processes, systems, and requirements to identify areas for improvement and optimization. Communication Skills: Ability to effectively communicate with stakeholders from various backgrounds to gather requirements, facilitate meetings, and present findings. Problem-Solving Skills: Capable of identifying problems, proposing solutions, and implementing strategies to address business challenges. DocumentationSkilled in documenting business requirements, user stories, process flows, and other artefact to ensure clear communication and understanding among stakeholders. Data AnalysisComfortable with data analysis techniques and tools to derive insights and make data-driven recommendations. Domain KnowledgePossesses a deep understanding of the Hi-tech industry or Supply chain / logistics domain, enabling them to provide valuable insights and recommendations. Project ManagementFamiliarity with project management methodologies and practices to effectively manage project timelines, resources, and deliverables. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Knowledge of data visualization tools like Power BI, Tableau, QlikSense etc. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Very high attention to detail and quality.

Management Level :07- I&F Decision Sci Practitioner Manager Location :Mumbai Must-have skills :Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, QlikView, PowerBI, SAS VA, Regulatory Knowledge:Basel/CCAR/DFAST/CECL/IFRS9, Risk Reporting and Dashboard Solutions Good to have skills :Advanced Data Science Techniques, AML, Operational Risk Modelling, Cloud Platform Experience (AWS/Azure/GCP), Machine Learning Interpretability and Bias Algorithms Job Summary We are seeking a highly skilled I&F Decision Sci Practitioner Manager to join the Accenture Strategy & Consulting team in the Global Network – Data & AI practice. You will be responsible for leading risk model development, validation, and auditing activities, ensuring performance evaluation, monitoring, governance, and documentation. This role also provides opportunities to work with top financial clients globally, utilizing cutting-edge technologies to drive business capabilities and foster innovation. Roles & Responsibilities: Engagement Execution Lead the team in the development, validation, governance, strategy, transformation, implementation, and end-to-end delivery of risk solutions for clients. Manage workstreams for large and small projects, overseeing the quality of deliverables for junior team members. Develop and frame Proof of Concept for key clients where applicable. Practice Enablement Mentor, guide, and counsel analysts and consultants. Support the development of the practice by driving innovations and initiatives. Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral. Professional & Technical Skills: 7-12 years of relevant Risk Analytics experience at one or more Financial Services firms or Professional Services / Risk Advisory with significant exposure to: Credit Risk :PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting, Revenue Forecasting Models, IFRS9/CECL Loss Forecasting across Retail and Commercial portfolios. Credit Acquisition/Behavior :Modeling, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios. Regulatory Capital and Economic Capital Models Liquidity Risk :Liquidity Models, Stress Testing Models, Basel Liquidity Reporting Standards Anti-Money Laundering (AML) :AML Scenarios/Alerts, Network Analysis Operational Risk :AMA Modeling, Operational Risk Reporting Modeling Techniques :Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time Series (ARMA/ARIMA), ML Interpretability and Bias Algorithms Programming Languages & Tools :SAS, R, Python, Spark, Scala, Tableau, QlikView, PowerBI, SAS VA Strong understanding of Risk functions and their application in client discussions and project implementation. Additional Information: Master's Degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities Industry Certifications :FRM, PRM, CFA preferred Excellent Communication and Interpersonal Skills About Our Company | Accenture Qualification Experience :Minimum 7-12 years of relevant Risk Analytics experience, Exposure to Financial Services firms or Professional Services/Risk Advisory Educational Qualification :Master’s degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities, Industry certifications such as FRM, PRM, CFA preferred

Job Summary We are seeking a highly skilled and motivated individual to join our team as a Senior Financial Analyst in the Financial Planning & Analysis (FP&A) department. As a Senior Financial Analyst, you will play a key role in driving the financial performance and strategic decision-making of our organization. Your primary responsibility will be to analyze financial data, provide valuable insights, and collaborate with cross-functional teams to support business objectives. This position requires a strong foundation in financial analysis, excellent communication skills, and a deep understanding of business acumen and analytics. Job Requirements Essential Functions: 1. Financial Analysis: Conduct thorough financial analysis, including but not limited to budgeting, forecasting, variance analysis, and financial modeling. Identify trends, risks, and opportunities to support strategic decision-making. 2. Business Partnering: Collaborate with various departments and business units to understand their financial needs and provide actionable recommendations. Build strong relationships to serve as a trusted financial advisor and effectively communicate financial information to non-financial stakeholders. 3. Story Behind the Numbers: Dive beyond the surface-level financial data and uncover the underlying story behind the numbers. Develop insightful narratives that explain the financial performance, key drivers, and potential impacts on the business. 4. Budgeting and Forecasting: Assist in the preparation of annual budgets and periodic forecasts. Work closely with department heads to ensure alignment with business objectives and provide accurate and timely financial projections. 5. Analytics and Reporting: Develop and maintain financial reports, dashboards, and key performance indicators (KPIs) to monitor business performance. Provide meaningful insights through data analysis and visualization tools to facilitate data-driven decision-making. 6. Financial Planning: Support the development and execution of long-term financial plans, including strategic initiatives, capital expenditure analysis, and ROI evaluations. Assess the financial feasibility of new projects and investments. 7. Process Improvement: Identify opportunities to streamline financial processes, enhance efficiency, and optimize reporting capabilities. Implement best practices and tools to enhance the overall effectiveness of the FP&A function. Preferred Skillsets: 1. Business Acumen: Strong understanding of business operations, industry dynamics, and financial implications. Ability to translate financial analysis into actionable insights and recommendations. 2. Business Partnering: Proven ability to build relationships and collaborate with cross-functional teams. Excellent interpersonal and communication skills to effectively engage and influence stakeholders at all levels. 3. The Story Behind the Numbers: Ability to analyze financial data in-depth and present findings in a clear and concise manner. Strong storytelling skills to communicate complex financial information to a non-financial audience. 4. Analytics: Proficient in financial modeling, data analysis, and statistical techniques. Experience working with advanced Excel functions, financial planning software, and data visualization tools (e.g., Tableau, Power BI). Education Education and Experience The types of tasks this individual is responsible for are well defined and utilized and build an understanding of standard principles and practices within a team environment. This individual interacts primarily with their Hiring manager, Finance Partners, and the direct Finance team members on assigned projects and may communicate with employees in other functions as required. The regular and detailed direction is provided, as well as an ongoing review of activities and priorities. The ideal candidate will be an important contributor to team projects. Ideally, 5-8 years of working experience. CA, CMA, CPA, CFA, MBA Finance (Reputed University), Finance Analytics from reputed institution.

About The Role : Title: Sales Excellence COE- Sales Projections Associate Manager Role (Job Profile):Analytics and Modeling Associate Manager Management Level:Associate Manager (ML8) About Accenture: At Accenture, we believe your career is about what you want to be and who you want to be. Its about bringing your skills, your curiosity, and your best true self to your work. Here, youll match your ingenuity with the latest technology to do incredible things. Together, we can create positive, long-lasting change. We are: Sales Excellence at Accenture. We empower our people to compete, win and grow. We develop everything they need to build and mature their client portfolios, optimize their deals and enable their sales talent, all driven by sales intelligence. You are: Curious about the latest business intelligence tools and eager to find out how they may help your team and your customers. You are quick to prototype a new solution and willing to abandon it if it does not solve the use cases. You find satisfaction in exploring raw data and efficiently transforming it into useful and relevant information. You enjoy working with a small group to deliver solutions. You are well-organized and consistently focus on priorities in order to achieve timelines. If changes or delays arise, you manage end users expectations as early and as quickly as possible. The work: The Center of Excellence (COE) enables Sales Excellence to deliver best-in-class service offerings to Accenture leaders, practitioners, and sales teams. As an Analytics & Modeling Associate Manager, you will be driving innovation around analytics models. Your typical day will involve working with SQL, Python, performing data analysis and modeling to extract insights and patterns from large data sets. You will: Develop and deploy Artificial Intelligence solutions using Python, SQL and latest AI technologies, including GenAI. You will be required to utilize frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise-class You will be responsible for solving complex business problems that include predicting future outcomes, prescriptive actions, and optimization for stakeholders Conduct detailed analysis of complex data sets, employing statistical methodologies and data modeling techniques for actionable insights, alongside a robust understanding of statistical analysis and machine learning algorithms. Apply expertise in diverse analytics algorithms, specialized in machine learning, including hands on experience implementing various algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Communicate technical findings effectively to stakeholders, utilizing data visualization tools like Tableau or Power BI for clarity. Stay updated with the latest advancements in analytics and data science, integrating innovative approaches for sustained competitive advantage The Work Continued: Partner with stakeholders and other members of the team to apply critical thinking and the latest data science methodologies to solve our most complex analytic challenges. Translate business issues into specific requirements to develop analytic solutions and identify appropriate data to support the solution. The person should require minimal guidance when determining methods and procedures on new assignments Individual could potentially manage medium-small sized teams and/or work efforts Please note that this role requires you to work in a second shift Qualifications Heres what you need: Bachelors degree or equivalent experience 5-8 years of experience doing similar work. Knowledge of statistical techniques and machine learning algorithms (4+ years) Experience in building regression & classification models using Python or R (4+ years) Advanced SQL & data integration(ETL) knowledge (experience with stored procedures, functions, views etc.) Advanced Visualization (Excel/Power BI) Knowledge of Google Cloud Platform (GCP) and BigQuery Strong Quality Practices and Thoroughness Strong interpersonal skills and ability to communicate solutions to senior leadership, gain alignment, and drive progress. Extra credit if you have: Masters degree in Analytics or similar field Sales Domain Experience Experience working in Sales, Marketing, Pricing, Finance, or related fields. Understanding of Accenture sales process and systems, business model Working knowledge of Salesforce Einstein Analytics You may also need: Ability to work flexible hours according to business needs. Must have good internet connectivity and a distraction-free environment for working at home, in accordance with local guidelines.

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Specialist CMC Statistician What you will do Let’s do this. Let’s change the world. In this vital role you will contribute to Amgen’s pipeline of new molecules and commercial products, that are treating serious illnesses and transforming lives. The Specialist CMC Statistician will be a member of our Global CMC Statistics (GCS) team. The mission of the team is to design, develop, and promote best practices, processes and tools across Operations that drive consistency and improve compliance. As part of the GCS team, the Specialist CMC Statistician will work with members of the team to implement statistical tools and techniques to support product manufacturing and testing throughout the product life cycle. The statistician will provide support to clinical and commercial manufacturing sites in the network. This involves statistical support for analyzing Operations generated data including monitoring programs, analytical methods, investigations, and other ad-hoc analyses as required. The Specialist CMC statistician will also support development of delivery devices and systems, and provide statistical analysis, study designs, acceptance sampling plans and acceptance criteria for the development, qualification, and transfer of physical test methods. They will also establish appropriate study designs and carry out evaluation of acceptance criteria for Design Verification testing ensuring that the overall program is aligned with Amgen and Regulatory/ISO requirements. Finally, the candidate will contribute to continuous improvement efforts across Amgen’s networks, leading to harmonization, efficiency gains and scientific innovation and, administration of statistical training for Amgen’s engineers and scientists. Primary Responsibilities for the Specialist CMC Statistician include: Provides continuous statistical support to a site or functional group by collaborating with technical associates to develop an experimental study, perform statistical analysis, and document results in a technical report that aligns with Amgen’s document control system and has statistical integrity. Provides written responses to clarify and/or explain a statistical approach and performs additional analysis to support regulatory submissions and response to questions, as required. Participates in the development, implementation and maintenance of statistical tools used to support product life cycle activities assisting with drafting/updating white papers, writing standardized R and SAS code, outlining report templates, and aligning GCS duties in relevant SOPs. Participates in improvement efforts to promote statistical techniques used in biologics and monoclonal antibodies processes; and mentors and guides statistical techniques and software tools to technical associates. Stays up to date on biotechnology industry trends, best practices, guidance documents and participates in external conferences, as appropriate What we expect of you We are all different, yet we all use our unique contributions to serve patients. The highly motivated professional we seek is a collaborate partner with these qualifications. Basic Qualifications: Doctorate degree in Applied Statistics, Industrial Statistics or Non-clinical Biostatistics or Master’s degree in Applied Statistics, Industrial Statistics or Non-clinical Biostatistics and 3 years of experience or Bachelor's degree in Applied Statistics, Industrial Statistics or Non-clinical Biostatistics and 5 years of experience or Associate's degree and 10 years of experience Preferred Qualifications: Advanced degree in Applied or Industrial Statistics with 3 years’ experience applying statistical methodologies to support Biopharma manufacturing and control Proficient in statistical tools and techniques commonly used in biopharma manufacturing and testing operations, such as Design of Experiments, Statistical Process Control, Process Capability Analysis, Measurement System Analysis, Acceptance Sampling Plans, Non-linear and Linear Regression, Significance Tests, and Simulation. Proficient in SAS and/or R programming (data manipulation techniques, macro, statistical and graphical PROCS, and ODS) and JMP statistical software Excellent interpersonal, oral and written communication skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job description Job Title: AI Decision Science Manager Strategy & Consulting Global Network Management Level: 07 - Manager Location: Primary - Bengaluru, Secondary - Gurugram Must-Have Skills: Python, R, SQL, Machine Learning, Deep Learning, Cloud Platforms (AWS, Azure, GCP), Big Data Tools (Hadoop, Spark), Data Visualization (Power BI, Tableau), Team Management, Stakeholder Engagement, Mentoring, Project Management. Good-to-Have Skills: Azure, AWS, GCP, Familiarity with advanced analytical techniques, including machine learning (e.g., Random Forest, Gradient Boosting) and deep learning (e.g., RNN, CNN), Experience with Large Language Models (LLMs) and tools like ChatGPT, Hugging Face. Job Summary :As an AI Decision Science Manager, you will leverage your expertise in AI, data science, and the Consumer Goods & Services domain to deliver innovative, data-driven solutions for Accentures global clients. You will lead multi-disciplinary teams to design, develop, and implement AI strategies that drive measurable business outcomes, enhancing customer experience, revenue growth, and operational efficiency. Roles & Responsibilities: Analyze extensive datasets from CG&S sources like Nielsen and IRI to synthesize actionable insights. Evaluate clients AI and analytics maturity and develop data-driven solutions across various business domains. Lead the design and deployment of advanced analytics solutions using cutting-edge platforms and tools. Provide technical guidance on statistical and machine learning techniques. Collaborate with cross-functional teams to address CG&S pain points, including revenue growth management, route-to-market strategies, and demand forecasting. Stay updated on the latest advancements in AI and integrate innovative approaches into solutions. Professional & Technical Skills: Expertise in traditional statistical techniques (e.g., regression, time series) and machine learning methods (e.g., clustering, decision trees). Familiarity with optimization methods, including linear and evolutionary techniques. Strong communication skills for engaging both technical and non-technical stakeholders. Proven ability to lead client-facing roles and large project teams. Exceptional attention to detail and a proactive, problem-solving mindset. Additional Information: This role offers an opportunity to work in a dynamic and collaborative environment, driving innovation and delivering impactful results for global clients in the Consumer Goods & Services sector. About Our Company Qualifications Experience: 7-9 years of direct experience in Data Science and AI within the Consumer Goods & Services industry. Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or an MBA specializing in Data Science.

Job description Job Title: AI Decision Science Manager Strategy & Consulting Global Network Management Level: 07 - Manager Location: Primary - Bengaluru, Secondary - Gurugram Must-Have Skills: Python, R, SQL, Machine Learning, Deep Learning, Cloud Platforms (AWS, Azure, GCP), Big Data Tools (Hadoop, Spark), Data Visualization (Power BI, Tableau), Team Management, Stakeholder Engagement, Mentoring, Project Management. Good-to-Have Skills: Azure, AWS, GCP, Familiarity with advanced analytical techniques, including machine learning (e.g., Random Forest, Gradient Boosting) and deep learning (e.g., RNN, CNN), Experience with Large Language Models (LLMs) and tools like ChatGPT, Hugging Face. Job Summary :As an AI Decision Science Manager, you will leverage your expertise in AI, data science, and the Consumer Goods & Services domain to deliver innovative, data-driven solutions for Accentures global clients. You will lead multi-disciplinary teams to design, develop, and implement AI strategies that drive measurable business outcomes, enhancing customer experience, revenue growth, and operational efficiency. Roles & Responsibilities: Analyze extensive datasets from CG&S sources like Nielsen and IRI to synthesize actionable insights. Evaluate clients AI and analytics maturity and develop data-driven solutions across various business domains. Lead the design and deployment of advanced analytics solutions using cutting-edge platforms and tools. Provide technical guidance on statistical and machine learning techniques. Collaborate with cross-functional teams to address CG&S pain points, including revenue growth management, route-to-market strategies, and demand forecasting. Stay updated on the latest advancements in AI and integrate innovative approaches into solutions. Professional & Technical Skills: Expertise in traditional statistical techniques (e.g., regression, time series) and machine learning methods (e.g., clustering, decision trees). Familiarity with optimization methods, including linear and evolutionary techniques. Strong communication skills for engaging both technical and non-technical stakeholders. Proven ability to lead client-facing roles and large project teams. Exceptional attention to detail and a proactive, problem-solving mindset. Additional Information: This role offers an opportunity to work in a dynamic and collaborative environment, driving innovation and delivering impactful results for global clients in the Consumer Goods & Services sector. About Our Company Qualifications Experience: 7-9 years of direct experience in Data Science and AI within the Consumer Goods & Services industry. Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or an MBA specializing in Data Science.

Data Analyst Banking and Financial Domain is Mandatory Experience:5 to 8 Years Preferred location Chennai, Pune, Budget:30LPA fix Notice :Immediate or who are serving and can join by 30thof March. We are seeking a talented Data Analyst to help us make data-driven decisions by gathering, processing, and analyzing key data sets. The ideal candidate will have a strong analytical mindset, the ability to interpret large amounts of data, and an expert in banking risks across financial, operational, and other strategic areas. Key Responsibilities : Data Collection & Analysis :Gather, clean, and analyze large datasets from a variety of sources. Use statistical methods to identify trends, patterns, and insights that can influence business decisions. Reporting & Dashboards :Develop and maintain clear and comprehensive reports and dashboards using tools like Tableau, Power BI, or Excel to present actionable insights. Ensure timely and accurate reporting for key business stakeholders. Agile SDLC Engagement :Work closely with business units, finance, legal, tech and compliance teams to understand business needs, build out requirement docs, translate them into user stories, prioritize the product backlog, perform testing and actively contribute as part of the Agile Pod Team. Business Insights :Collaborate with business teams to understand key performance metrics and business goals. Provide actionable insights and recommendations based on data analysis to optimize risk processes or operational efficiency. Data Quality & Integrity :Monitor data integrity, consistency, and accuracy. Implement data validation procedures to ensure high-quality data is used for decision-making. Ad-Hoc Analysis :Conduct ad-hoc analysis and support business units with specific analytical needs, using your expertise to solve unique problems and answer pressing business questions. Skills : Proven experience (5+ years) in a data analyst or similar role, with a strong understanding of data analysis and statistical techniques. Proficiency in data analysis tools and software (e.g., Excel, SQL, R, Python). Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Strong understanding of data manipulation, cleaning, and data transformation techniques. Excellent problem-solving skills with the ability to turn data insights into clear and actionable recommendations. Strong communication skills, with the ability to explain complex data findings to both technical and non-technical stakeholders. Attention to detail and an ability to work efficiently in a fast-paced environment. Preferred Skills : Familiarity with machine learning algorithms or predictive analytics is a plus. Experience with data warehousing or cloud-based analytics tools (e.g., AWS, Google Cloud, Azure). Knowledge of database management systems (e.g., MySQL, PostgreSQL, MS SQL Server).

Job Location : Lucknow Role & responsibilities 1. Design and implement statistical models and methods to analyze clinical and laboratory data. 2. Interpret results to provide actionable insights that drive diagnostic test development and improvement. 3. Collaborate on experiment and clinical study design, ensuring appropriate statistical methodologies. 4. Perform statistical validation of diagnostic tests (sensitivity, specificity, predictive values). 5. Prepare detailed reports and presentations on statistical analyses. 6. Develop and maintain databases, ensuring data integrity and quality. 7. Collaborate with cross-functional teams to provide statistical support. Preferred candidate profile 1. Bachelor's degree in statistics, biostatistics, mathematics, or a related field. 2. Proficiency in Python or R. 3. Experience with SQL. 4. Strong Excel skills. 5. Familiarity with Tableau or Power BI. 6. Excellent problem-solving abilities. Preferred Qualifications: Masters degree in statistics, biostatistics, or a related field. - Experience in diagnostic test development or related field. - Knowledge of regulatory standards and guidelines (e.g., CLSI, FDA). - Strong communication and interpersonal skills Please Note : Those who have completed B.Sc in Mathematics and an M.Sc in Mahematics are the one eligible to apply. Candidates those who are seeking job opportunities in Lucknow will be preferable.

Domestic dispatch programming. Ensure proper record maintenance related to invoicing. Strong knowledge of excise laws and dispatch logistics. Handle customer queries related to excise duties, dispatch status, and delivery timelines.

As an Associate level Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. We have 1 of positions open in these locations: Bangalore, Karnataka, India. The below requirements are a guideline. If you have transferable skills we encourage you to apply to this role. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 2+ Years of experience. Technical Skills : Proficiency in programming languages such as Python, R, or SQL. Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. Strong knowledge of statistical techniques (e.g., regression, classification, hypothesis testing). Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and data visualization tools (e.g., Matplotlib, Seaborn, Tableau). Experience working with databases and data storage systems (e.g., SQL, NoSQL). Problem-Solving: Ability to think critically and solve complex problems using data-driven approaches. Communication: Strong written and verbal communication skills to present technical concepts to non-technical stakeholders. Teamwork: Ability to work in a collaborative team environment and contribute to both individual and group projects. Detail-Oriented: High attention to detail and commitment to producing accurate and high-quality work. Preferred technical and professional experience Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for data science workflows. Knowledge of big data technologies (e.g., Hadoop, Spark). Experience with deep learning techniques.

About The Role : Title: Sales Excellence COE- Sales Projections Associate Manager Role (Job Profile):Analytics and Modeling Associate Manager Management Level:Associate Manager (ML8) The work: The Center of Excellence (COE) enables Sales Excellence to deliver best-in-class service offerings to Accenture leaders, practitioners, and sales teams. As an Analytics & Modeling Associate Manager, you will be driving innovation around analytics models. Your typical day will involve working with SQL, Python, performing data analysis and modeling to extract insights and patterns from large data sets. You will: Develop and deploy Artificial Intelligence solutions using Python, SQL and latest AI technologies, including GenAI. You will be required to utilize frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise-class You will be responsible for solving complex business problems that include predicting future outcomes, prescriptive actions, and optimization for stakeholders Conduct detailed analysis of complex data sets, employing statistical methodologies and data modeling techniques for actionable insights, alongside a robust understanding of statistical analysis and machine learning algorithms. Apply expertise in diverse analytics algorithms, specialized in machine learning, including hands on experience implementing various algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Communicate technical findings effectively to stakeholders, utilizing data visualization tools like Tableau or Power BI for clarity. Stay updated with the latest advancements in analytics and data science, integrating innovative approaches for sustained competitive advantage The Work Continued: Partner with stakeholders and other members of the team to apply critical thinking and the latest data science methodologies to solve our most complex analytic challenges. Translate business issues into specific requirements to develop analytic solutions and identify appropriate data to support the solution. The person should require minimal guidance when determining methods and procedures on new assignments Individual could potentially manage medium-small sized teams and/or work efforts Please note that this role requires you to work in a second shift Qualifications Heres what you need: Bachelors degree or equivalent experience 5-8 years of experience doing similar work. Knowledge of statistical techniques and machine learning algorithms (4+ years) Experience in building regression & classification models using Python or R (4+ years) Advanced SQL & data integration(ETL) knowledge (experience with stored procedures, functions, views etc.) Advanced Visualization (Excel/Power BI) Knowledge of Google Cloud Platform (GCP) and BigQuery Strong Quality Practices and Thoroughness Strong interpersonal skills and ability to communicate solutions to senior leadership, gain alignment, and drive progress. Extra credit if you have: Masters degree in Analytics or similar field Sales Domain Experience Experience working in Sales, Marketing, Pricing, Finance, or related fields. Understanding of Accenture sales process and systems, business model Working knowledge of Salesforce Einstein Analytics You may also need: Ability to work flexible hours according to business needs. Must have good internet connectivity and a distraction-free environment for working at home, in accordance with local guidelines.

Project Role : Industry Subject Matter Advisor Project Role Description : Work closely with client project teams to provide expertise (functional, technical, industry, tools/methods) to ensure successful solution design and delivery. Must have skills : PowerFactory Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : BE in Electrical Engineering Summary :As an Industry Subject Matter Advisor for PowerFactory, you will work closely with client project teams to provide expertise in functional, technical, industry, tools/methods to ensure successful solution design and delivery. Your typical day will involve collaborating with cross-functional teams, analyzing client requirements, and providing expert guidance on PowerFactory solutions. Roles & Responsibilities: Collaborate with cross-functional teams to analyze client requirements and provide expert guidance on PowerFactory solutions. Provide expertise in functional, technical, industry, tools/methods to ensure successful solution design and delivery. Lead the development and deployment of PowerFactory solutions, ensuring adherence to best practices and industry standards. Conduct detailed analysis of complex data sets, employing statistical methodologies and data munging techniques for actionable insights. Professional & Technical Skills: Must To Have Skills:Expertise in PowerFactory. Good To Have Skills:Knowledge of other power system analysis software. Strong understanding of power system analysis and design. Experience in leading the development and deployment of PowerFactory solutions. Solid grasp of statistical methodologies and data munging techniques. Excellent communication and collaboration skills. Additional Information: The candidate should have a minimum of 5 years of experience in PowerFactory. The ideal candidate will possess a strong educational background in electrical engineering or a related field, along with a proven track record of delivering impactful PowerFactory solutions. This position is based at our Bengaluru office. Qualifications BE in Electrical Engineering