143 Statistical Techniques Jobs - Page 4

You will be responsible for leading the Yield Management System team for a 300mm Wafer Fab at Tata Electronics Private Limited. Your role will involve collaborating with the Digital/IT team to design and develop Yield Management software and Database. You will be tasked with creating a Data Integration framework to collect data from various sources such as E-test, Defect Inspection, Inline Metrology, and Sort. Additionally, you will develop algorithms for data analysis to facilitate root cause understanding and yield optimization using Yield Analysis Tools. It will be crucial for you to work closely with PI/YE, CFM teams, and vendors to drive continuous system improvements. Automation & Reporting will also be a key aspect of your role, where you will be required to generate Automated yield reports. Cross-Functional Collaboration is essential as you will need to work with Product Engineering and Process Integration teams to gather requirements for building software that supports yield management. Ensuring the reliability and scalability of the software for handling high volume data will also be part of your responsibilities. You will be expected to provide updates to internal and customer senior executives and be willing to travel as needed. The ideal candidate for this position should possess essential attributes such as being self-driven, independent, and results-oriented. Strong cross-functional collaboration skills across global teams, a continuous learning mindset, curiosity, data-driven approach, and resilience in problem-solving are highly valued. You should also be an open, humble, and relationship-focused communicator who is creative, agile, and adaptable to change. Qualifications: - Minimum Bachelors degree in electrical engineering, computer science, or equivalent; Advanced degree preferred - Experience in data analysis, failure/defect analysis, and yield improvement - Strong understanding of device physics, process integration, yield improvement, and failure mechanisms - Familiarity with statistical techniques, data visualization techniques, operations dashboards, process modules, and metrology/defect inspection tools - Knowledge of AI/ML basics with an innovation mindset Desired Experience: - 10+ years experience in the semiconductor industry with specific expertise in E-test / Wafer Sort - Proven structured problem-solving skills using methods like 8D - Proficiency in programming and managing E-test systems,

The Balance Sheet Management Analyst is a seasoned professional role responsible for applying in-depth disciplinary knowledge to contribute to the development of new methodologies, data processing, visualization and analysis tools, and the improvement of processes and workflows for the Balance Sheet Management function. The Balance Sheet Management modeling group within the treasury team is crucial for developing statistical and non-statistical methodologies that directly impact Citigroup's Capital. This team's work is subject to heightened regulatory focus and scrutiny, focusing on the development of models and tools for Deposit duration, Fund Transfer Pricing, Customer Pricing, and other areas used in the IRRBB and treasury space. Key responsibilities of the Analyst include end-to-end development support of statistical models covering asset classes like Deposits or Fixed Income Securities, as well as specific functions such as Asset Allocation strategy. The Analyst is expected to demonstrate analytical/statistical skills, strong communication skills for documenting and presenting work, and stakeholder management abilities to understand requirements and develop suitable models. For non-statistical modeling projects, the Analyst should showcase good analytical skills to filter, prioritize, and validate complex material from multiple sources. The detailed responsibilities involve end-to-end development and governance of models in the treasury/IRRBB space, including econometric forecasting models for key Balance sheet and income statement line items. The Analyst applies analytical thinking, statistical knowledge, and attention to detail when making judgments and analytical recommendations based on data analysis. Model governance and support include timely submission of model documentations to stakeholders. Qualifications and other Requirements: - 2-4 years of relevant statistical modeling/econometrics experience in the financial domain. - PG/Masters/PhD in quantitative disciplines such as Statistics, Economics, Mathematics, or related fields preferred. - Experience in Time Series modeling and development of models and metrics related to ALM/IRRBB. - Hands-on experience with statistical techniques such as Linear Regression, Logistic Regression, Time Series, and more. - Working knowledge of Artificial Intelligence/Machine Learning techniques and programming skills in Python. - Experience with SQL, databases, and programming languages like SAS/R. - Domain knowledge in PPNR, Fixed Income Securities, Mortgage Modeling, and other financial concepts. - Demonstrated analytical skills and ability to synthesize quantitative and qualitative data to support decision-making. - Ability to manage multiple projects and deadlines effectively. This is a full-time position based in Mumbai at a C10 job level within the Finance Job Family Group under Non-Trading Market Risk Management.,

At Goldman Sachs, Engineers play a crucial role in making things possible. You will have the opportunity to connect people and capital with ideas, solve challenging engineering problems for clients, and contribute to building massively scalable software and systems. As part of our engineering teams, you will architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning in combination with financial engineering to turn data into actionable insights. The dynamic environment at Goldman Sachs requires innovative strategic thinking and immediate, real solutions. If you are someone who wants to explore the boundaries of digital possibilities, this is the place to start. Goldman Sachs Asset Management provides innovative investment solutions through a global, multi-product platform. As a top 10 global asset manager, we maintain a leadership position across asset classes and key market segments. Your success will be driven by collaborating with a global team of talented professionals to deliver innovative client solutions. As a Quantitative Strategist at Goldman Sachs, you will work closely with bankers, traders, and portfolio managers on complex financial and technical challenges. Your responsibilities will include developing quantitative analytics and signals using advanced statistical techniques, improving portfolio construction processes, and implementing fund management models. You will also be involved in building sustainable production systems, providing quantitative analytics to optimize investment structure, pricing, returns, and capital sourcing, and partnering globally to create quantitative modeling-based solutions. Basic qualifications for the role include a Bachelor's or Master's degree in a quantitative discipline, strong mathematical understanding, proficiency in coding solutions to quantitative problems, and experience in developing finance and statistics-based applications. Additionally, you should have strong written and oral communication skills, the ability to work in a team environment, and a passion for delivering technology solutions in a dynamic business environment. Goldman Sachs is committed to fostering diversity and inclusion within its workplace and beyond, providing opportunities for professional and personal growth. We offer benefits, wellness programs, personal finance offerings, and mindfulness programs to support our employees. If you are a candidate with special needs or disabilities, we are committed to finding reasonable accommodations during the recruiting process. Join us at Goldman Sachs, where we commit our resources to help clients, shareholders, and communities grow, and where every individual has opportunities to thrive both professionally and personally.,

Management Level: Ind & Func AI Decision Science Consultant Location: Gurgaon, Mumbai, Bangalore Must-have skills: Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, Time Series (ARMA/ARIMA), Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, PowerBI, 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 Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. You will be responsible for risk model development, validation, and auditing activities, ensuring performance evaluation, monitoring, governance, and documentation. This role offers opportunities to work with top financial clients globally, utilizing cutting-edge technologies to drive business capabilities and foster innovation. Roles & Responsibilities: Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation, and end-to-end delivery of risk solutions for Accentures clients. Ability to manage workstreams of small projects, overseeing the quality of deliverables for junior team members. Demonstrated ability to manage day-to-day interactions with client stakeholders. Practice Enablement Guide junior team members. Support development of the practice by driving innovations and initiatives. Develop thought leadership and disseminate information around current and emerging trends in Risk. Professional & Technical Skills: 2-6 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: Masters 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 2-6 years of relevant Risk Analytics experience, Exposure to Financial Services firms or Professional Services/Risk Advisory Educational Qualification: Masters 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

As a Senior Data Scientist at our company, you will play a vital role in leading data-driven projects, applying advanced analytics, and providing actionable insights. Your responsibilities will include collaborating with cross-functional teams, mentoring junior staff, and staying up-to-date with the latest technologies in data science and machine learning. The ideal candidate for this position should possess a Master's degree or higher in data science, statistics, computer science, or a related field. Proficiency in R or Python, with a preference for R, is required for data modeling and analysis. Strong knowledge of SQL for data extraction and transformation, hands-on experience with machine learning models and statistical techniques, as well as the ability to translate complex data findings into business strategies are essential skills for this role. In addition, you should have experience in cross-validation techniques, model evaluation, and excellent communication skills to deliver technical and non-technical reports. Mentoring junior data scientists, guiding project execution, and ensuring ethical data practices and data governance are also key aspects of this position. Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib, understanding of big data platforms and distributed computing frameworks, and knowledge of cloud platforms like AWS, Azure, or Google Cloud for data projects are highly valued skills. Your daily tasks will involve designing and executing data science projects aligned with business objectives, collecting, cleaning, and preparing data from multiple sources for analysis, developing statistical models and machine learning algorithms, and monitoring model performance for better accuracy. You will be expected to prepare easy-to-understand reports to communicate insights and outcomes, collaborate with cross-functional teams to align data initiatives with strategic goals, stay updated with advancements in data science, and ensure compliance with quality and information security standards in all data processes. If you are passionate about data science, have a strong analytical mindset, and enjoy working in a collaborative environment, we would love to hear from you. Please submit your application including your CV and documents to careers@grazitti.com. We look forward to reviewing your application and potentially welcoming you to our team at Grazitti Interactive LLP in Mohali, India.,

As a Risk Analyst at PhonePe, you will work with data to understand patterns and anti-patterns related to risk activities such as fraud, AML, identity theft, KYC, and non-compliant activity as per RBI and company policies. Your responsibilities include defining, developing, and communicating key metrics for monitoring risky activities across various aspects of the business. You will be required to analyze data to provide insights that contribute to decision-making, ensuring PhonePe principles and customer interests are upheld. To excel in this role, you must possess a Bachelor's degree in engineering or a Master's degree in Management, Maths, Statistics, or a related quantitative discipline. A minimum of 1-2 years of experience in data analytics, risk analytics, or business analytics is essential. Proficiency in SQL for data manipulation, excellent Excel skills, and a strong grasp of programming languages like SAS, Python, and R are necessary. Moreover, you should have a good understanding of statistical techniques such as regression, segmentation, and forecasting. Collaboration is key in this role as you will work closely with cross-functional teams, including Engineering, Product, Operations, and Business, to develop fraud risk solutions. Strong organizational, communication, and project management skills are vital for success. Additionally, experience with BI tools like QlikView, Tableau, or PowerBI would be advantageous. As a full-time employee at PhonePe, you can enjoy various benefits including medical insurance, wellness programs, parental support, mobility benefits, retirement benefits, and other perks. Working at PhonePe offers a rewarding experience with a focus on creativity, opportunities for personal growth, and a supportive work environment. If you are passionate about using data analytics to combat risk activities, ideate with top minds, and make a meaningful impact on millions of users, then joining PhonePe could be the next step in your career journey. Embrace the opportunity to own your work from day one and contribute to a dynamic and innovative tech-focused environment. Join us at PhonePe and be part of a team that values empowerment, trust, and continuous learning.,

At PwC, our team members in data and analytics are dedicated to utilizing data to drive insights and facilitate informed business decisions. Using advanced analytics techniques, we assist clients in optimizing their operations and achieving strategic goals. As a data analyst at PwC, your primary focus will be on employing advanced analytical methods to extract insights from extensive datasets and promote data-driven decision-making. Your role will involve leveraging expertise in data manipulation, visualization, and statistical modeling to aid clients in solving complex business challenges. Fueled by curiosity, you are a dependable and collaborative team member. In our dynamic work environment, you are expected to adapt to collaborating with diverse clients and team members, each presenting unique challenges and opportunities for growth. Every encounter serves as a chance to enhance your skills and knowledge. It is essential to take ownership, consistently deliver high-quality work that adds value for our clients, and contributes to the success of the team. As you progress within the Firm, you will establish a strong professional reputation, creating pathways for further career opportunities. In the domain of Data Science, specifically Conversational AI, we are seeking an experienced Senior Associate with a solid analytical background and a minimum of 4 years of professional experience. As part of the Digital Contact Solutions team within the Analytics Consulting practice, Senior Associates will collaborate with business analytics teams in India and work closely with clients and consultants in the U.S. This role involves leading teams in high-end analytics consulting engagements and providing strategic recommendations to project teams. To excel in this position, you will need an advanced degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statistics, or Information Sciences specializing in business analytics or informatics. Key skills required for this role include familiarity with Conversational AI domain, NLP/NLU techniques, experience in building chatbots, proficiency in cloud platforms, expertise in Python or PySpark, visualization tools, and strong problem-solving abilities. As a Senior Associate, your responsibilities will encompass developing and executing project plans, translating business needs into data science solutions, client interaction, conducting analysis using advanced analytics tools, mentoring junior team members, writing production-ready code, creating presentations, and contributing to firm-building activities. At PwC, we prioritize the well-being of our employees and offer flexible work arrangements including Work-from-Home options and flexible working hours. We conduct mid-year appraisal cycles, provide opportunities to work on impactful client problems, offer continuous learning and upskilling opportunities, access to Massive Online Open Courses (MOOC) at no cost, guidance from world-class leadership, interaction with senior client leadership, and a diverse peer group for support throughout your journey.,

About The Role Kotak Mahindra Bank looking to hire Team Member-Credit Risk LocationBKC, Mumbai "¢ Credit Risk Analytics and Modelling Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations. Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards in particular for PD, LGD, EAD and related Credit Risk metrics - using statistical methods and / or expert judgement based techniques In depth understanding of the underlying statistical techniques and functional insights that drive Credit Risk models and the experience of having used modelled output in computing Expected Credit Loss (ECL) under Ind AS or Credit Risk Capital under Internal Ratings based approaches, Economic Capital and having taken these measures through the scrutiny of auditors and regulators Derive insights from data and effectively communicate these insights to Risk, Credit and Business teams "¢ Preparing and submitting reports to the regulator and / or senior management on a periodic and adhoc basis. The job-holder will be responsible for computing and reporting ECL and related metrics on an on-going basis. "¢ Ability to work with (gather, consolidate, prepare, summarise) large data sets on a routine basis with an eye for detail and flair for numbers. Data cleansing and preparation for use in model building. "¢ Ensure reliability, integrity and consistency of reported and underlying data "¢ Build and manage a team of like-minded data analysts and modellers "¢ Between 8 and 12 years of experience in the areas of risk and data analytics particularly in the area of Credit Risk. Exposure to risk reporting or financial reporting would be an advantage. "¢ Degree in statistics or econometrics (or equivalent professional qualifications) with hands-on experience in statistical model development, implementation, validation and use is highly desirable "¢ Extensive experience and expertise in using any one or more among Python / SAS / R. Intermediate level SQL skills will be useful. "¢ Strong experience in areas like delinquency or loan loss forecasting, expected credit losses capital computation under advanced approaches. "¢ Experience in projects involving automation / data consolidation in the areas of risk or financial reporting would be an advantage

The Senior Analyst, MoRM (DIPL) position based in Mumbai, India involves actively managing model risk globally in line with the bank's risk appetite. The primary responsibilities include performing independent model validation, identifying and mitigating model risks, designing model risk metrics, implementing a robust model risk management framework, and supporting bank-wide model risk-related policies and practices. This role encompasses validation applicable to estimation approaches within the Deutsche Bank Combined US Operations (CUSO) across various business units and risk types. As a Senior Analyst in Model Risk Management, you will be responsible for validating Stress testing models under the CCAR PPNR umbrella for DB USA. It is crucial to have an understanding of different aspects of the bank's business within Corporate Banking, Private Banking, Investment Banking, and other business segments. The role may involve flexibility in moving across different risk areas within the US model validation team. Key tasks include model performance testing, scenario and sensitivity analysis, assessing model assumptions, developing challenger models, and ensuring compliance with regulatory guidelines and bank policies. The ideal candidate should have 2-3 years of experience in model development/validation, with a preference for previous experience in stress testing such as DFAST/CCAR/ICAAP. Knowledge of B/PPNR models, financial statement analysis, statistical techniques, analytical skills, and proficiency in software packages like R and Python are essential. Strong report drafting skills, presentation abilities, and communication skills are also required. Candidates with backgrounds in Mathematics, Statistics, Economics, Engineering, or MBA are preferred, and additional certifications like CFA/FRM would be advantageous. Experience with Business Intelligence tools and framework development would be a plus. The position offers benefits including a leave policy, parental leaves, childcare assistance, sponsorship for certifications, employee assistance programs, insurance coverage, and health screening. Training, coaching, and a culture of continuous learning are provided to support career development. Deutsche Bank Group promotes a positive, fair, and inclusive work environment and values collaboration and initiative among its employees. For further details about our company and teams, please visit our website at https://www.db.com/company/company.htm. Join us in striving for excellence together every day, acting responsibly, thinking commercially, and celebrating the successes of our people as part of the Deutsche Bank Group. We welcome applications from individuals of all backgrounds to contribute to our diverse and inclusive workplace.,

Responsibilities: *Teach statistics subjects * Teach statistical principles using software tools * Publish academic papers related to statistics

As a Senior Data Scientist at our company, you will play a crucial role in leading data-driven projects and providing actionable insights through advanced analytics techniques. Your responsibilities will include designing and executing data science projects that align with our business objectives, collecting and preparing data from various sources, and developing statistical models and machine learning algorithms to solve complex business problems. To excel in this role, you should have a Master's degree or higher in data science, statistics, computer science, or a related field. Proficiency in R or Python, with a preference for R, is essential for data modeling and analysis. You must also possess a strong knowledge of SQL for data extraction and transformation, hands-on experience with machine learning models and statistical techniques, and the ability to translate complex data findings into actionable business strategies. Additionally, your role will involve mentoring junior staff, ensuring quality output, monitoring model performance, and refining approaches for increased accuracy. Collaboration with cross-functional teams, staying updated with advancements in data science, and applying new methods to projects are also key aspects of this position. Moreover, your expertise in ethical data practices, data governance, data visualization tools like Tableau, Power BI, or Matplotlib, and cloud platforms such as AWS, Azure, or Google Cloud will be valuable assets in successfully fulfilling your responsibilities. If you are a highly analytical and strategic professional with excellent communication skills, a passion for data science, and a commitment to quality and information security standards, we encourage you to apply for this exciting opportunity. Join us in driving innovation and making a difference in the field of data science. Thank you for considering a career with us. We look forward to reviewing your application and potentially welcoming you to our team soon!,

At PwC, the focus of individuals in data and analytics engineering is on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Playing a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will concentrate on leveraging advanced analytics and machine learning techniques to extract insights from large datasets, driving data-driven decision making. You will be involved in developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems. You will be crucial in organizing and maintaining proprietary datasets, transforming data into insights and visualizations that drive strategic decisions for clients and the firm. Working closely with industry leaders and various cross-functional retail and consumer advisory, tax, and assurance professional teams to develop high-impact, commercially relevant insights for thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement. Demonstrates in-depth level abilities and/or a proven record of success in managing efforts with identifying and addressing client needs: - As a critical member of a team of Retail and Consumer data scientists, maintaining and analyzing large, complex datasets to uncover insights that inform topics such as consumer sentiment, future business trends/challenges, insights around cyclical consumer-related events (e.g., holidays, back-to-school, Super Bowl, etc.), business strategy, pricing, promotions, customer segmentation, and supply chain optimization. - Supporting in the identification of new, cutting-edge datasets that add to the firm's differentiation amongst competitors and clients. - Supporting in building predictive models and data-led tools. - Designing and conducting experiments (A/B testing, market basket analysis, etc.) to measure the effectiveness of new approaches and drive continuous improvement. - Partnering with the US team to translate analytical findings into actionable recommendations and compelling stories. - Developing dashboards and reports using tools like Tableau, Power BI, or Looker to support self-service analytics and decision-making. - Staying up to date and ahead of industry trends, customer behavior patterns, and emerging technologies in the consumer and retail landscape. - Having experience managing high-performing data science and commercial analytics teams. - Strong SQL and Alteryx skills and proficiency in Python and/or R for data manipulation and modeling. - Experience applying machine learning or statistical techniques to real-world business problems. - Solid understanding of key retail and consumer metrics (e.g., CLV, churn, sales velocity, basket size, etc.). - Proven ability to explain complex data concepts to non-technical stakeholders. - Experience with retail and consumer datasets such as Circana, Yodlee, Pathmatics, Similar Web, etc. - Knowledge of geospatial or time-series analysis in a retail setting. - Prior work with pricing optimization, inventory forecasting, or omnichannel analytics.,

At PwC, our focus in data and analytics is on leveraging data to drive insights and make informed business decisions. We utilize advanced analytics techniques to assist clients in optimizing their operations and achieving their strategic goals. In the realm of data analysis at PwC, your main role will involve utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Your expertise in data manipulation, visualization, and statistical modeling will be crucial in supporting clients to solve complex business problems effectively. Driven by curiosity, you are a reliable and contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a diverse set of clients and team members, each presenting unique challenges and opportunities for growth. Taking ownership and consistently delivering quality work that adds value for our clients and contributes to team success are key expectations. As you progress within the firm, you have the opportunity to build a strong personal brand, creating pathways for further professional growth. Examples of the skills, knowledge, and experiences required to excel in this role include: - Applying a learning mindset and taking ownership of your own development. - Appreciating diverse perspectives, needs, and feelings of others. - Developing habits to sustain high performance and unlock your potential. - Actively listening, asking questions for clarification, and effectively expressing ideas. - Seeking, reflecting upon, acting on, and providing feedback. - Gathering information from various sources to analyze facts and identify patterns. - Committing to understanding how businesses operate and building commercial awareness. - Learning and applying professional and technical standards while upholding the firm's code of conduct and independence requirements. Position: Senior Associate Domain: Data Science - Conversational AI About Acceleration Center Mumbai/Bangalore: The Acceleration Centers at PwC serve as diverse, global talent hubs dedicated to driving growth for the organization and creating value for clients. The PwC Advisory Acceleration Center in Bangalore is an integral part of the Advisory business in the US, focusing on developing a wide range of solutions across Risk Consulting, Management Consulting, Technology Consulting, Strategy Consulting, Forensics, and vertical-specific solutions. PwC's high-performance culture, centered on excellence and diversity, provides a supportive environment for collaboration and growth. By collaborating with a network of people and leveraging global leadership development frameworks and digital technologies, you will have the opportunity to learn and excel in your career. The firm's commitment to Responsible Business Leadership, Diversity & Inclusion, work-life flexibility, career coaching, and learning & development establishes it as one of the most desirable workplaces. We are seeking an experienced senior associate with a strong analytical background and expertise in Conversational AI (with over 4 years of professional experience) to join our Digital Contact Solutions team within the Analytics Consulting practice. As a Senior Associate, you will work closely with business analytics teams in India, collaborating with clients and consultants in the U.S. to lead high-end analytics consulting engagements and provide valuable business recommendations to project teams. Education: Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statistics, or Information Sciences focusing on business analytics or informatics. Required Skills: - Proficiency in the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges. - Understanding of conversational (chats, emails, and calls) data and its preprocessing for training Conversational AI systems. - Strong problem-solving and analytical skills for troubleshooting and optimizing conversational AI systems. - Familiarity with NLP/NLG techniques such as parts of speech tagging, lemmatization, Word2vec, sentiment analysis, and text classification. - Expertise in NLP and NLU verticals including Text to Speech (TTS), Speech to Text (STT), SSML modeling, Intent Analytics, Proactive Outreach Orchestration, OmniChannel AI & IVR, Intelligent Agent Assist, Contact Center as a Service (CCaaS), Modern Data for Conversational AI, and Generative AI. - Experience in building chatbots using bot frameworks like RASA/ LUIS/ DialogFlow/Lex and developing NLU model pipelines. - Proficiency in cloud platforms (e.g., AWS, Azure, Google Cloud) and services for building Conversational AI solutions. - Expertise in Python or PySpark, R, and JavaScript frameworks. - Proficiency in visualization tools such as Power BI, Tableau, Qlikview, Spotfire. - Experience in evaluating and enhancing conversational AI system performance through metrics and user feedback. - Excellent communication and collaboration skills for working effectively with cross-functional teams and stakeholders. - Track record of successfully delivering conversational AI projects on time. - Familiarity with Agile development methodologies and version control systems. - Ability to stay updated with the latest trends in conversational AI technologies. - Strong strategic thinking and alignment of conversational AI initiatives with business goals. - Knowledge of regulatory and compliance requirements related to conversational AI applications. - Experience in the telecom industry or similar fields. - Understanding of customer service operations and CRM systems. Nice To Have: - Familiarity with data wrangling tools such as Alteryx, Excel, and Relational storage (SQL). - ML modeling skills including Regression, Time Series Forecasting, Classification, XGB, Clustering, Neural Networks, Simulation Modeling, etc. - Experience in survey analytics and organizational functions like pricing, sales, marketing, operations, customer insights, etc. - Understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data. Roles and Responsibilities: As a Senior Associate, your responsibilities will include participating in the end-to-end project cycle from developing proposals to delivering the final product. Apart from supporting PwC leadership, you will also lead client conversations to develop suitable products. Specific responsibilities entail: - Developing and executing project & analysis plans under the guidance of the project manager. - Translating business needs into data science solutions and actionable insights. - Handling client interactions on business problems to be resolved. - Conducting analysis using advanced analytics tools and mentoring junior team members. - Writing and deploying production-ready code. - Creating presentations for client teams and PwC project leadership. - Contributing to knowledge and firm-building activities. What We Offer: At PwC, we prioritize the mental & physical well-being of our people and acknowledge the importance of flexibility, especially in challenging times. Our policies around Work-from-Home and flexible working hours aim to support our employees. Additionally, we provide: - Mid-year appraisal cycle to recognize performance in a timely manner. - Opportunities to address impactful client problems with long-lasting implications. - Continuous learning and upskilling opportunities through access to Massive Online Open Courses (MOOC) at no cost. - World-class leadership guidance to enhance expertise across various functions. - A diverse peer group for support throughout your journey. - Interaction with senior client leadership and potential visits to client locations for meaningful engagements.,

As a Senior Analyst in Model Risk Management (MoRM) at Deutsche Bank, your primary responsibility will be to manage and actively validate model risk globally in alignment with the bank's risk appetite. This includes performing independent model validation, early identification and mitigation of model risks, designing model risk metrics, and implementing a robust model risk management and governance framework. You will support bank-wide model risk-related policies and practices. Your role will involve validating stress testing models used within the CCAR PPNR umbrella for DB USA, requiring an understanding of various aspects of the bank's business across Corporate Banking, Private Banking, and Investment Banking segments. You will be expected to conduct model performance testing, scenario analysis, sensitivity analysis, and conceptual assessments of model assumptions, limitations, and weaknesses. Additionally, you will develop challenger models, automate processes, and enhance frameworks to ensure efficiency. To excel in this role, you should have 2-3 years of professional experience in model development/validation or related areas, with prior exposure to stress testing such as DFAST/CCAR/ICAAP being advantageous. Knowledge of B/PPNR models across different lines of business and the ability to analyze financial statements will be beneficial. Proficiency in statistical techniques, analytical skills, and experience with software packages like R and Python are essential. Strong report drafting skills, along with good presentation and communication abilities, are required. A background in Mathematics, Statistics, Economics, Engineering, or MBA, along with CFA/FRM certifications, will be advantageous. At Deutsche Bank, you will have access to a range of benefits, such as a best-in-class leave policy, gender-neutral parental leaves, childcare assistance, sponsorship for certifications, and comprehensive insurance coverage. Training, coaching, and a culture of continuous learning will support your career progression. Join us in a positive, fair, and inclusive work environment where we strive for excellence together every day. For more information about Deutsche Bank and our teams, please visit our company website: https://www.db.com/company/company.htm. We celebrate the successes of our people and welcome applications from all backgrounds. Together, we are Deutsche Bank Group.,

About The Role - Kotak Mahindra Bank looking to hire Team Member-Credit Risk " Credit Risk Analytics and Modelling Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations. Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards in particular for PD, LGD, EAD and related Credit Risk metrics - using statistical methods and or expert judgement based techniques In depth understanding of the underlying statistical techniques and functional insights that drive Credit Risk models and the experience of having used modelled output in computing Expected Credit Loss (ECL) under Ind AS or Credit Risk Capital under Internal Ratings based approaches, Economic Capital and having taken these measures through the scrutiny of auditors and regulators Derive insights from data and effectively communicate these insights to Risk, Credit and Business teams" Preparing and submitting reports to the regulator and or senior management on a periodic and adhoc basis. The job-holder will be responsible for computing and reporting ECL and related metrics on an on-going basis." Ability to work with (gather, consolidate, prepare, summarise) large data sets on a routine basis with an eye for detail and flair for numbers. Data cleansing and preparation for use in model building." Ensure reliability, integrity and consistency of reported and underlying data" Build and manage a team of like-minded data analysts and modellers" Between 8 and 12 years of experience in the areas of risk and data analytics particularly in the area of Credit Risk. Exposure to risk reporting or financial reporting would be an advantage." Degree in statistics or econometrics (or equivalent professional qualifications) with hands-on experience in statistical model development, implementation, validation and use is highly desirable" Extensive experience and expertise in using any one or more among Python SAS R. Intermediate level SQL skills will be useful." Strong experience in areas like delinquency or loan loss forecasting, expected credit losses capital computation under advanced approaches." Experience in projects involving automation data consolidation in the areas of risk or financial reporting would be an advantage

The vision at Micron Technology is to transform how the world uses information to enrich life for all. As a world leader in innovating memory and storage solutions, Micron accelerates the transformation of information into intelligence, inspiring the world to learn, communicate, and advance faster than ever. Micron Technology is currently seeking a Yield Analysis (YA) Lead (JR54484) in India. The ideal candidate will be passionate about innovating in data analytics and possess a curious mindset, always seeking to understand "what, how, and why." In this role, you will be responsible for providing analysis results, key feedback, as well as automation and analytics solutions for yield improvement activities. Collaboration with Technology Development yield analysis groups in Japan and the US is essential for success in this role. Key responsibilities for the Yield Analysis Lead position include: - Leading a team of engineers to review and analyze experimental data to identify device performance shifts - Collaborating with Yield Analysis teams in the US and Japan to develop new tools for data analysis and implement machine learning techniques to enhance analysis efficiency and accuracy - Working with the TD YA team to develop new techniques and find innovative ways to use existing analysis tools for identifying process issues - Building a culture of continuous improvement and creating effective best-known methodologies sharing forums - Mentoring engineers to develop skills and capabilities in project management - Conducting performance management by setting objectives and tracking leading indicators - Ensuring efficient allocation of resources for optimal team performance Successful candidates for this position will possess: - Excellent technical, communication, and presentation skills - Experience in leading multi-functional teams to successfully resolve complex problems - Proficient data analysis and statistical techniques skills - Knowledge in device physics, CMOS operation, and memory cell operation - Ability to lead by example in demonstrating Micron values and leadership competencies - Track record of leading successful projects while mentoring and developing other engineers - Programming skills, including Python or R, and SQL. Java or Jmp scripting knowledge is a plus - Ability to thrive in a dynamic, fast-paced work environment - Good understanding of semiconductor processing Experience: - Minimum experience required is a Senior Engineer or Engineer Supervisor with at least 3 years of experience in the semiconductor industry Education: - Master's or Bachelor's degree with 5 years of industry-related experience in Electrical Engineering, Chemical Engineering, Materials Science Engineering, Physics, or related field Micron Technology, Inc. is dedicated to delivering innovative memory and storage solutions that transform how information is used to enrich life for all. With a strong focus on customers, technology leadership, and operational excellence, Micron offers a range of high-performance DRAM, NAND, and NOR memory and storage products through its Micron and Crucial brands. The daily innovations created by Micron's team drive the data economy, enabling advancements in artificial intelligence and 5G applications, which open up opportunities from the data center to the intelligent edge and across the client and mobile user experience. For more information about Micron Technology, Inc., please visit micron.com/careers. For assistance with the application process or to request reasonable accommodations, please contact hrsupport_in@micron.com. Micron strictly prohibits the use of child labor and complies with all applicable laws, rules, regulations, and international labor standards.,

The Associate Manager, Compliance Analytics supports the development and implementation of compliance analytics across the global compliance organization. You will be responsible for designing and developing analytical solutions, generating insights, and fostering a culture of ethics and integrity. Your role will involve transforming data from multiple systems, designing the analytics approach, and executing the analytics. Your responsibilities will include designing, developing, and maintaining analytics to provide business insights, enabling risk-intelligent decisions, informing compliance risk assessment processes, and supporting remediation activities. You will be involved in scoping, gathering requirements, developing analytics models, validating and testing models, and communicating results to stakeholders for analytics projects. Additionally, you will support the execution of analytics initiatives to enhance the Global Compliance program and provide actionable insights through data and analysis to achieve business objectives. Furthermore, you will contribute to the development of standardized analytics processes and frameworks, including documentation and validation of work. You will also be responsible for setting up sustainable analytics solutions, including data pipelines and automated refresh schedules as necessary. Collaboration with compliance officers, IT, and stakeholders to understand business objectives and provide reliable and accurate reports, insights, and analysis to inform decision-making is an essential aspect of this role. As part of your duties, you will lead a culture of continuous improvement by enhancing existing databases, data collection methods, statistical methods, technology, procedures, and training. You will partner with data custodians and process experts to ensure the quality of data and definitions to support the building of reliable data models and analysis. Additionally, coaching and developing junior team members will be a key component of this role. To qualify for this position, you should have 8+ years of relevant work experience in Python, Advanced SQL, R, Azure, Databricks, PySpark, and PowerBI. A strong knowledge and experience in advanced analytics tools and languages to analyze large data sets from multiple sources are required. A BTech in Computer Science, IT, MSc in Mathematics/Statistics, or equivalent courses from an accredited university is necessary. You should possess a strong understanding of algorithms, mathematical models, statistical techniques, data mining, and experience implementing statistical and machine learning models. Experience with analyzing accounting and other financial data, as well as demonstrating excellent ability to exercise discretion and maintain confidentiality, are essential. Knowledge and experience with data transformation and cleansing, data modeling, and database concepts are also preferred.,

As a Data Engineer at Blis, you will be part of a globally recognized and award-winning team that specializes in big data analytics and advertising. We collaborate with iconic brands like McDonald's, Samsung, and Mercedes Benz, providing precise audience insights to help them target their ideal customers effectively. Upholding ethical data practices and privacy rights is at the core of our operations, and we are committed to ensuring outstanding performance and reliability in all our systems. Working at Blis means being part of an international company with a diverse culture, spanning across four continents and comprising over 300 team members. Headquartered in the UK, we are financially successful and poised for continued growth, offering you an exciting opportunity to contribute to our journey. Your primary responsibility as a Data Engineer will involve designing and implementing high-performance data pipelines on Google Cloud Platform (GCP) to handle massive amounts of data efficiently. With a focus on scalability and automation, you will play a crucial role in building secure pipelines that can process over 350GB of data per hour and respond to 400,000 decision requests each second. Your expertise will be instrumental in driving improvements in data architecture, optimizing resource utilization, and delivering fast, accurate insights to stakeholders. Collaboration is key at Blis, and you will work closely with product and engineering teams to ensure that our data infrastructure evolves to support new initiatives seamlessly. Additionally, you will mentor and support team members, fostering a collaborative environment that encourages knowledge sharing, innovation, and professional growth. To excel in this role, you should have at least 5 years of hands-on experience with large-scale data systems, with a strong focus on designing and maintaining efficient data pipelines. Proficiency in Apache Druid and Imply platforms, along with expertise in cloud-based services like GCP, is essential. You should also have a solid understanding of Python for building and optimizing data flows, as well as experience with data governance and quality assurance practices. Furthermore, familiarity with event-driven architectures, tools like Apache Airflow, and distributed processing frameworks such as Spark will be beneficial. Your ability to apply complex algorithms and statistical techniques to large datasets, along with experience in working with relational databases and non-interactive reporting solutions, will be valuable assets in this role. Joining the Blis team means engaging in high-impact work in a data-intensive environment, collaborating with brilliant engineers, and being part of an innovative culture that prioritizes client obsession and agility. With a global reach and a commitment to diversity and inclusion, Blis offers a dynamic work environment where your contributions can make a tangible difference in the world of advertising technology.,

Management Level: Ind&Func AI Decision Science Manager Location: Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods:SVM, Decision Trees, Programming Languages & Tools:Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP). Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Manager to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. This role will focus on Market Mix Modeling (MMM), where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. This role offers an exciting opportunity to collaborate with leading financial clients and leverage cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models, delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping, staffing, and execution phases. Practice Enablement Mentor and guide analysts, consultants, and managers to build their expertise in Market Mix Modeling and analytics. Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and the development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM, ensuring the development of high-quality client proposals and responses to RFPs. Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 5+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization, AI/ML models, and advanced statistical techniques for marketing. Proficiency in programming languages such as Python, NumPy, Pandas, Sklearn, Seaborne, Pycaret, and Matplotlib. Experience with cloud platforms such as AWS, Azure, or GCP and data migration to Snowflake. Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures. Additional Information Masters degree in Statistics, Econometrics, Economics, or related fields from reputed universities. Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights. About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: 5+ years of advanced experience in Market Mix Modeling (MMM) and related optimization techniques for promotional channels and budget allocation 2+ years for Analysts & 4+ years for Consultants of experience in consulting/analytics with reputed organizations Educational Qualification: Masters degree in Statistics, Econometrics, Economics, or related fields from reputed institutions Ph.D. or M.Tech in relevant fields is an advantage

Hi, We are having an opening for Manager / Senior Manager 2 Data Science at our Mumbai location Job Summary : The role would work as an integral part of the Data & Analytics team at SUN Pharma. It involves leading and managing business critical data science projects and AI/ ML Initiatives. The role requires an understanding of business processes related to Pharma industry and data science and analytics, and the ability to communicate effectively to both technical and functional stakeholders. Position offers a significant opportunity for an all-round business understanding and impact working with the in-house teams as well as business and corporate functions as well as technology consultants and partners Areas of Responsibility : For designated complex and business critical digital and technology based data & AI related projects, Building and expanding the Data Analytics CoE and Data Architecture for Global Use cases Clear understanding of the expected business outcome, business value and specific outputs / deliverables Managing stakeholders and expectations from use of data science and analytics Working in tandem with Data guardians from different functions, in-line with their requirements and vision Monitoring any proof of concept for new requirement, coordinating with involved stakeholders and partners, ensuring timely completeness for the objectives pre-decided Planning benefits realization for Data Science projects and execution strategy Reusability of data streams, wherever applicable, to eliminate duplication in data foot print Managing a team of data engineers, cloud architects, MLOps engineers and Database engineers Structuring delivery team organization, managing the engagement with relevant partner ecosystem Managing CI-CD pipelines and building ML products for internal teams Managing budgets, managing scope, time and quality, measuring and managing change Targeted communication, orchestration and governance System/solution usage and adoption, benefit realization and measurement Educational Qualification : B. Tech / MBA Skills : Knowledge of Data Science, ML, Statistical Techniques, Data Modelling, Data Transformation, Use of Cloud Hyperscaler environment. Use of cloud based tools for automating ML pipelines and deploying cloud based models for end users Ability to understand and interpret complex datasets and formulate means for merging disparate data sources Strong fundamentals in cloud services and data lake architecture. Work involves handling sensitive data and confidential information requiring discretion on the role holder's part. Ability to work under deadlines and comfortable with certain level of ambiguity Ability to multi task, successfully adapt to changes in work priorities. Should be comfortable to operate at a strategic level, and also have an eye for detail. Should be a self motivated Experience : 7-12 years (preferably, IT Services / Pharma Industry Experience, from organizations of repute) Experience in handling data/ data models for different functions

Pi Vector focuses on international curriculums - IB and Cambridge, as well as popular Olympiads. While our priority in school curriculum is in IBDP and AS&A-Levels, we also cater to high school MYP and IGCSE. In Olympiads our flagship programs are AMC and CEMC, while we also help with UKMT and Asian Olympiads. Eligibility/Qualification: Bachelor's degree or higher in Mathematics, Education, or a related field. Strong knowledge of the IBDP curriculum and assessment requirements. Previous experience tutoring IB Math students preferred. Work Experience: 3+ years of teaching in the relevant area. Experience in teaching IB/ ICSE / IGCSE/ CBSE Curriculum. Must have experience of teaching 11th & 12th Std. Remuneration: 3.6 LPA to 7 LPA (based on the eligibility and recruitment criteria) Working Days: 6 days, including Saturdays and Sundays, with one week off (Monday). Working Timings: 2:00 pm - 10:00 pm Roles & Responsibilities: The ideal candidate should be innovative and well-organized and should have the capacity to raise achievement through motivating and inspiring students. Will be responsible for training and mentoring the students in a result-oriented manner coupled with academic enrichment for self and the organization. A broad break-up of the role is as follows: A. Tutoring B. Student review C. Content development and research Educational Background: A minimum of a Bachelors degree in Mathematics. A Masters degree or teaching certification in a relevant area is a plus. Previous experience teaching or tutoring IB Mathematics for High School is preferred. Knowledge & Skills: Deep understanding of the IB Maths syllabus, including the specific requirements of the Internal Assessment. Familiarity with IB exam papers, grading rubrics, and assessment criteria. Strong communication skills with the ability to explain complex concepts in simple, digestible terms. Ability to develop customized lesson plans and materials to meet the needs of each student. Patience, creativity, and a passion for teaching and mentoring students.

Description Sr Statistical Programmer Syneos Healthis a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities Our Clinical Development model brings the customer and the patient to the center of everything that we do We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for Whether you join us in a Functional Service Provider partnership or a Full-Service environment, youll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE Why Syneos Health We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program We are committed to our Total Self culture where you can authentically be yourself Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people We are continuously building the company we all want to work for and our customers want to work with WhyBecause when we bring together diversity of thoughts, backgrounds, cultures, and perspectives were able to create a place where everyone feels like they belong Job Responsibilities Develop and maintain programs to create analysis datasets, tables, and figures, ensuring accuracy and compliance with statistical standards Provide comprehensive statistical programming support for statisticians, clients, or business needs, including troubleshooting and resolving programming issues Source, organize, and interpret complex data sets, utilizing advanced coding techniques to ensure data integrity and usability Collaborate with statisticians and other stakeholders to understand project requirements and deliver high-quality statistical outputs Evaluate existing programming processes, identify areas for improvement, and implement revisions to enhance productivity and efficiency Contribute to the design, implementation, and delivery of processes, programs, and policies, leveraging in-depth knowledge and skills within the statistical programming discipline Direct the work of lower-level professionals, providing guidance and mentorship to ensure the successful completion of projects and tasks Manage processes and programs related to statistical programming, ensuring alignment with organizational goals and objectives Ensure effective communication and collaboration with cross-functional teams to meet the needs of statisticians, clients, or businesses Stay updated with the latest advancements in statistical programming and data analysis techniques, continuously improving skills and knowledge to deliver innovative solutions Qualifications Advanced degree in Statistics, Computer Science, or a related field Proven experience in statistical programming and data analysis Strong knowledge of programming languages such as SAS, R, or Python Familiarity with data visualization tools and techniques Excellent problem-solving and analytical skills Ability to work independently and manage multiple projects simultaneously Certifications SAS Certified Advanced Programmer for SAS 9 or equivalent certification Certification in data analysis or statistical programming is preferred Necessary Skills Proficiency in statistical programming and data manipulation Strong understanding of statistical methodologies and data analysis techniques Ability to develop and implement efficient programming solutions Excellent communication and collaboration skills Attention to detail and commitment to quality Ability to adapt to changing project requirements and priorities Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients No matter what your role is, youll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment Learn more about Syneos Health http://www syneoshealth com Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above Further, nothing contained herein should be construed to create an employment contract Occasionally, required skills/experiences for jobs are expressed in brief terms Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job Summary Roles within the Statistical Programming job family at the P22 level are responsible for developing programs and providing statistical programming support for statisticians or for client or business use These roles address needs for sourcing, organizing, and interpreting complex data sets utilizing codes and programs This includes developing codes that create analysis datasets, tables, and figures, evaluating programming processes, and suggesting revisions geared toward increasing productivity Impact and Contribution Roles within the Statistical Programming job family at the P22 level contribute significantly to the design, implementation, and delivery of processes, programs, and policies These roles involve in-depth knowledge and skills within a professional discipline, understanding the impact of work on related areas, and may be responsible for entire projects or processes within their area of responsibility Individuals in these roles may direct the work of lower-level professionals or manage processes and programs, ensuring that statistical programming support is effectively provided to meet the needs of statisticians, clients, or businesses Core Focus Developing programs and codes to create analysis datasets, tables, and figures Providing statistical programming support for statisticians or for client or business use Sourcing, organizing, and interpreting complex data sets Evaluating programming processes and suggesting revisions to increase productivity Contributing to the design, implementation, and delivery of processes, programs, and policies Directing the work of lower-level professionals or managing processes and programs Ensuring effective statistical programming support to meet the needs of statisticians, clients, or businesses

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.

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.

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.