1143 Statistical Modeling Jobs - Page 17

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview of the role As a member of theEnterprise Insights teamat Target in India, you will expand efforts to help shape the ideal guest (consumer) experienceand drive business and communication strategies and activations. This role supports the Category Insights team, which focuses on understanding consumer behaviors, attitudes, needs, and motivations across Targets core businesses. You willplay a key role in bridging the gap between business and guests through research by collaborating with multiple stakeholders includingmerchandisers, marketers, category managers, and creative teams. You will be responsible for designing and executing guest or consumer research to support key initiatives. You will be the primary contact for internal partners and will identify the appropriate research method, data source and vendor/supplier to execute work. Target leverages both qualitative and quantitative techniques and various secondary and proprietary sources of data to conduct research studies.As an advocate for the guest, youll be expected to frame findings into compelling insights and stories to establish guest understanding and empathy on the team and drive effective changes. Your work will have to includeactionable recommendationsfor teams to then run with and achieve desired business goals for the organization. As a Sr. Marketing Researcher of Marketing & Brand Insights, you will report to the Sr. Manager, Research & Insights. Responsibilities: Identify best method or mix of methods for the research plan, timeline and resourcing. Work closely with cross-functional teams to identify and develop research plan based on analysis of knowledge gaps, project goals and risks. Conduct consumer research and report findings. Perform thoroughqualitative/quantitativeanalysis to create meaningful insights and actionable recommendations. Work on an iterative approachthrough close alignment with business teams to influence impact of the project. Skills: Ability to operate using a range of quantitative survey methods and techniques, qualitative methods/techniques, ethnographic and anthropological research, statistical testing within quantitative methods, sampling, and data analysis and synthesis across methods Solve business problems with a consumer- centered approach. Strong grasp of quantitative data analysis and statistics from a business perspective, including generating and distilling reports from syndicated and secondary sources Conducting field research (both quantitative and qualitative), including preparing survey design/ discussion guides etc. Strong collaboration to effectively influence a diverse set of stakeholders. Communicate complex concepts clearly and persuasively across different audiences and varying levels of the organization. Manage ambiguity, work autonomously, meet deadlines and multi-task in an agile environment. Preferred Background: Four-year degree or equivalent experience Retail/E-Commerce Experience Minimum of 5 years of Consumer Insights experience Significant experience with different methods of quantitative, qualitative, syndicated and first-party insight tools Experience analyzing syndicated and secondary data sources, as well as macro trend analysis Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

• 4 6 years of relevant analytics experience in banks, NBFCs, Fintechs, consultancies. • Lead end to end execution of analytical requirements including model development, implementation & stakeholder communication. • Strong understanding of ML algorithms and statistical modelling to address problems predominantly in BFSI domain. • Articulate complex data science models / analysis to relevant audience and effectively present the solution in a concise & neat manner. • Design, prototype, build & maintain frameworks for consumption of machine learning models at scale. • Perform feature engineering through extracting meaningful features from traditional and alternate data sources. • Mentor team of data scientists • Proficiency in Python, SQL, AWS / GCP / Azure • Bachelors / Master’s degree in mathematics, Statistics, Economics, Computer Science or other quantitative course Preferred candidate profile

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail Experience: Minimum 8 Years Of Experience

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

The Impact you will have in this role: The Capacity Planning Engineer for Mainframe works directly with a team responsible for monitoring, analyzing, and reporting mainframe processing capacity at DTCC. The successful candidate will collect, process and validate system resource data along with business volume data for future analysis using sound data science principles. One should have a basic understanding of Mainframe while knowledgeable of sources and tools used to collect, validate, then process required system data. One should have a solid background in both descriptive statistics to extrapolate insight from large quantities of raw data using SAS software on the mainframe and in distributed environments. Your Primary Responsibilities: Monitor and analyze mainframe system performance and capacity trends. Collect, process, and validate large datasets from various system and business sources. Apply descriptive statistical techniques to summarize and interpret raw data. Utilize SAS software to generate reports and insights that inform capacity planning decisions. Collaborate with cross-functional teams to ensure data accuracy and relevance. Contribute to the development of tools and processes that enhance data collection and analysis **NOTE: The Primary Responsibilities of this role are not limited to the details above. ** Qualifications: Minimum of 6 years of related experience Bachelor's degree in a mathematics / statistics subject area preferred or equivalent work experience Talents Needed for Success: Foundational understanding of mainframe systems Proficiency in SAS or similar statistical software. MS Office skills, in particular intermediate PowerPoint, and Excel skills Excellent analytical skills including data exploration, analysis Good foundation in Descriptive Statistics Understanding of mainframe technology and components

Desired Experience Experience of biostatistics in regulated markets Interacted with regulatory agencies (FDA/EMA/PMDA) Experience of biosimilar product development Knowledge of statistical models, meta-analysis, regression, longitudinal data analysis Knowledge of using relevant software including PASS, SAS, SPSS, R Job Description Prepare scientifically sound statistical design for clinical trials Design clinical trials for biosimilars for global requirements (FDA/EMA/PMDA) Perform meta-analysis and calculate sample size Prepare statistical justifications for agency interactions (FDA/EMA/PMDA) Review and provide inputs to statistical sections of clinical trial protocol Plan and perform blinded sample size re-estimation and interim analysis Review and provide inputs to statistical analysis plan and CRF Review tables, listings, figures and clinical study reports Collaborate with internal and external stakeholders (CROs) to resolve issues around statistics Respond to agency queries on issues related to biostatistics Qualification : MSc., PhD in Biostatistics Experience : 10-15 years' experience in a Pharma / CRO

About the Role You'll be the Science Tech Lead (Individual Contributor) for a team of 5-7 members based in India, working closely with Engineering and Product leads to create and execute the direction of the product development. This includes crafting machine learning, statistics, or analytical solutions to achieve business goals, guiding the team's direction through data-driven insights and algorithmic thinking, mentoring scientists and establishing cross functional relationships with partner teams at different locations. Basic Qualifications Undergraduate and/or graduate degree in Statistics, Machine Learning, Operations Research, or other quantitative fields. 9+ years of industry experience as an (Applied / Data) Scientist or equivalent. Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development. Experience in experimental design and analysis. Proficiency using Python, Spark at scale with large data sets. Experience with tools like SQL, R in a production environment. Preferred Qualifications Master's/Ph.D. Degree in Statistics, Machine Learning, Operations Research, or other quantitative fields. Experience in tech or marketplace industries. Experienced in partnering with cross-functional stakeholders to execute decisions. Ability to mentor, coach and develop junior team members. Superb communication and organisation skills. What the candidate will do Collaborate with Engineering and Product leadership to define the technical vision and guide team direction by identifying opportunities and creating data-driven solutions. Design innovative solutions and develop prototypes for business challenges using machine learning and statistical algorithms. Establish and guide data analysis and experimentation frameworks to generate business insights and support decision-making. Work closely with Engineering and Product teams to deploy models, improve data observability and metrics, and execute experiments and detailed analyses. Design and evaluate A/B tests, switchback experiments and quasi-experiments, applying best practices in experimental methodology to ensure high-quality, unbiased insights. Partner with Scientists and Engineers to build and enhance the availability, integrity, accuracy, and reliability of data logging and data pipelines. Provide mentorship and technical leadership to other Scientists, promoting a culture of statistical excellence and continuous learning. Communicate effectively with leadership and cross-functional teams, presenting the Science team's work on models, solutions, and data analytics outcomes.

We are seeking a highly experienced and strategic Senior Manager Applied Science to lead and scale our applied research and machine learning initiatives. This role involves working at the intersection of cutting-edge AI/ML technologies and real-world business challenges to drive measurable impact. Key Responsibilities: Lead a team of applied scientists and machine learning engineers to develop scalable AI/ML models. Define and drive the scientific vision, strategy, and roadmap aligned with business goals. Collaborate cross-functionally with product, engineering, and analytics teams. Stay ahead of emerging technologies and apply them to solve complex business problems. Publish research, file patents, or present findings in internal/external forums as needed. Requirements: 10+ years of experience in applied science, machine learning, or data science roles. Strong background in statistics, optimization, deep learning, NLP, or related fields. Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Proven experience in leading high-performance technical teams. Advanced degree (Ph.D. or Master’s) in Computer Science, Mathematics, Statistics, or a related field. Excellent communication and leadership skills. Preferred Qualifications: Experience in a product-led tech company or research lab environment. Track record of deploying ML models in production. Publications or patents in relevant areas.

About the Role Uber sends billions of messages to our users across channels such as Email, Push, SMS, WhatsApp, and in-app surfaces, through an internally built CRM system. We're looking for a Product Manager to lead the development of marketing measurement and insight-generation tools. This role will focus on enabling clear performance tracking, consistent measurement, and data-driven decision-makingempowering teams across Uber to optimize marketing efforts with confidence and speed. What the Candidate Will Do Partner with Marketing, Data Science, Engineering, and other cross-functional teams to deeply understand business needs and define measurement strategies. Drive the product vision, roadmap, and execution Build and refine underlying data processes and pipelines to ensure reliable, high-quality datasets that power measurement and insight generation. Collaborate with Engineering to design, implement, and maintain scalable data systems (e.g., data lakes, ETL frameworks) supporting marketing workflows. Develop intuitive dashboards and analytics tools that surface actionable insights on campaign performance, audience engagement, channel effectiveness, and overall marketing impact. Establish frameworks for consistent marketing measurement, including attribution, incrementality, and experimentation, ensuring alignment across diverse teams and markets. Collaborate with stakeholders to define KPIs, track impact, and foster continuous improvement in data-driven marketing decisions. Champion data governance and best practices so that marketers can trust and confidently act on insights. Basic Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical or analytical field. 5+ years of product management experience with a focus on data platforms, analytics, or business intelligence. Strong understanding of marketing measurement, data modeling, and reporting best practices. Experience working with large-scale data infrastructure and tools (e.g., SQL, Looker, BigQuery, Airflow). Ability to translate complex data requirements into simple, user-centric products. Strong cross-functional collaboration and communication skills. Preferred Qualifications Master's degree in a technical field Experience in digital marketing, CRM, or MarTech environments. Familiarity with experimentation and incrementality testing. Interest in applying AI/ML to enhance marketing analytics and insights.

New or Never Normal Job Title: Internal Audit Team Member Corporate Grade: CA fresher"s Kotak Overview Kotak Mahindra Bank Limited is an Indian banking and financial services company headquartered in Mumbai, India. It offers banking products and financial services for corporate and retail customers in the areas of personal finance, investment banking, life insurance, and wealth management. At Kotak, we expect more from ourselves, than what anyone else expects of us. This way, we are creating a rewarding and delightful experience every day for our customers. We are an equal opportunity employer and we are opposed to discrimination on any grounds. Overall purpose of role As Kotak Internal Audit Member, you will be a part of Kotak Internal Audit Department (IAD) which aims to provide independent, reliable, valued, insightful and timely assurance to the Board and executive management thus demonstrating a role of an ENABLER . This is achieved by looking at the effectiveness of governance, risk/control framework over current and evolving risks, within the current and expected business environment and in accordance with the international standards definition of internal auditing.Kotak IAD is a 200+ member department spread across 5 locations (Mumbai, Ahmedabad, Bangalore, Chennai and Delhi) which is set up to perform Internal Audits for KMBL (Kotak Mahindra Bank Limited) Flagship Company of the Kotak group. A one-stop shop.4 Strategic Business Units - Consumer Banking, Corporate Banking (Wholesale Banking), Commercial Banking, Treasury. Key Accountabilities Executing the delivery of the Kotak IAD"s Audit plan for the calendar year." To assist the Team Supervisor Team Lead on assigned audit work of KMBL Businesses & Processes. This will entail working on the audit to deliver the Audit Planning Memo, Controls Document, agree issues & action plans with management and submission of draft report to the Team Supervisor." Demonstrate sound knowledge of both business/technical areas and expert knowledge in the audit process, including the IA systems, to ensure that audit work is carried out with a high standard that meets all methodologies." Demonstrate sound knowledge of regulations governing the bank (RBI, IRDA, SEBI, FEMA, FIMMDA, FEDAI, FATCA, NDS-OM, etc.)" Conducts reviews to understand end-to-end process, evaluate and highlight key control deficiencies, analyse root cause and discuss agree with management for effective and timely remediation plans." Manage individual workflow to ensure timely report deliveries with quality articulation of audit queries" Writing high quality audit reports. To embrace and demonstrate effective Audit report writing & presentation skills from E2E perspective (Planning, Execution, Discussion, Clarification, Finalisation, Documentation into system etc.)" Endeavouring to update awareness of risk issues and changes across relevant business units and use this knowledge to update the audit approach." Driving and leading discussions with relevant stakeholders regarding audit observations, consulting with IAD team supervisors Team Leads. Decision-making and Problem Solving Take into account reputation of Kotak at all times, through positive interactions and adhering to policies, procedures and manuals. Set an example and supports fair and ethical behaviour. Make sure you are equipped to be able to protect our reputation at all times. Challenge others where appropriate, if you believe self to be correct. Endeavour to be part in decision making on a broad range of factors, with Kotak"s values at heart - Always Responsible, Always Accountable. Risk and Control Objective [This section is mandatory for all role profiles]Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Kotak"s Policies and Standards. Person Specification Personal attributes essential to performing role including competencies, expertise, knowledge, and experience. Noteexperience requirements must not be in the form of years (minimum or otherwise). Essential Skills/Basic & Preferred Qualifications: Understanding of Banking Business their products and processes." Person who can work alone, close audits and manage stakeholders" Relevant professional qualifications e.g. CA/CMA, CISA, CIA, (Bachelor"s degree mandatory)." A Bachelor"s degree in Commerce (preferably) holder with at least3-5 years of experiencein internal audit of a financial institution and/or relevant experience in the following areas:" Experience in a BFSI or Finance processes, including audit. Understanding of relevant regulatory environment would be an added advantage. " Experience in data analytics and/or exposure to data science/machine learning techniques would be an added advantage.

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Mandatory Skills: Python for Data Science Experience: 8-10 Years

Whether you're at the start of your career or looking to discover your next adventure, your story begins here. At Citi, you'll have the opportunity to expand your skills and make a difference at one of the world's most global banks. We're fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You'll also have the chance to give back and make a positive impact where we live and work through volunteerism. Citi Finance is responsible for the firm's financial management and related controls. We manage and partner on key Citi initiatives and deliverables, such as our quarterly earnings process and ensuring Citi's compliance with financial rules and regulations. The team comprises chief financial officers who partner with each of our businesses and disciplines including controllers, financial planning and analysis, strategy, investor relations, tax and treasury. We're currently looking for a high caliber professional to join our team as Vice President, NTMR Lead Analyst - Hybrid based in Mumbai. Being part of our team means that we'll provide you with the resources to meet your unique needs, empower you to make healthy decisions, and manage your financial well-being to help plan for your future. For instance: - Citi provides access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses. - We have a variety of programs that help employees balance their work and life, including generous paid time off packages. - We offer our employees resources and tools to volunteer in the communities in which they live and work. In 2019, Citi employee volunteers contributed more than 1 million volunteer hours around the world. In this role, you're expected to take on: The Balance Sheet Management Lead Analyst provides support to the BSM NTMR manager with bank balance sheet management and optimization, balancing financial resources among different competing priorities and how other Non-Trading Market Risk such as FXRBB, Commodity/Equity/CSRBB risk and OCI capital at risk and allocation of cash into debt investment securities contribute to achieving Corporate Treasury's balance sheet optimization objectives and Citi's strategic goals. Ability to learn and understand the strategic direction of the function within the relevant part of the business. Good communication skills are required in order to collaborate and engage a wide range and level of stakeholders. The role is to provide support to the NTMR manager with executing functional strategy in the designed area. Assist with determining the approach to implementing functional strategy and assisting the NTMR manager with reflecting strategic influence on the business and interaction with other functions or businesses. The Balance Sheet Management Model Governance group is the critical team within the Treasury/Balance Sheet Management and is primarily responsible for ongoing maintenance and governance support of the models that are used to generate Non-Trading Market Risk (NTMR) metrics within Treasury, covering Interest Rate Risk, Credit Spread Risk, Foreign Exchange Risk, valuation risk in Fixed Income and derivatives, Funds Transfer Pricing, and other related areas. This team plays an important role in overall balance sheet management and has a direct impact on Citigroup's Capital. The work in this space is subject to heightened regulatory focus and scrutiny. Key Responsibilities: - Provide support to the Non-Trading Market Manager with BSM's management process by providing analytical support with a primary focus on asset allocation, FXRBB, Commodity/Equity/CSRBB risk. - Provide support to the NTMR manager for enhancing BSM's analytics and methodologies and establishing Citi's first-line NTMR management framework (Policy/Standard/Procedures, models, methodologies, reporting, controls, processes, analytics, data, and documentation). - Provide support to align governance and management framework, procedures, and controls for all legal entities that have OCI Risk, FX risk, commodity risk, credit spread risk in the Banking Book. Provide support to the NTMR manager to liaise with businesses, legal entity treasury, CTI and Markets Treasury, and Controllers teams to ensure both an understanding and the ability to manage other non-trading market risks. - Assist with identifying and remediating gaps in other non-trading market risk (excl IRBB) as required by Tier 1 regulations and help to remediate regulatory/audit self-identified issues concerning other non-trading market risks in the banking book and achieve the target state framework. Interact with 2nd line Finance CRO function, regulators, senior management, and Non-Traded Market Risk governance committees. Qualifications and other Requirements: - Relevant statistical modeling/econometrics, model governance or model validation experience in the financial domain - 5 to 7+ years" experience in Financial Services, Treasury, and bank global liquidity investment portfolio. - Experience with debt investment securities and non-trading market risk such as FXRBB, commodity risk, private equity risk, and CSRBB is a plus - Experience with regulatory, compliance, risk management, and financial management, and data governance concerns is a plus - Understanding of Bank ALM, Capital, and Liquidity considerations is a plus - Proven ability to work under pressure in ambiguous environments - Excellent communication skills are imperative i.e. ability to make complex subjects easily digestible for senior management - Exercises proven Power Point and Excel skills - Ability to prioritize in a fast-paced environment Ability to interact with all levels of management Must be a team player Education: - Bachelor's degree in Finance and Business or related fields; an advanced degree is a plus. - Proficient with Bloomberg, fixed income analytical tools, Python and/or database - Strong power point presentation - Understanding of accounting general ledger Take the next step in your career, apply for this role at Citi today.,

Teleperformance is a leading provider of customer experience management, offering premier omnichannel support to top global companies. Our diverse service locations, including on-site and work-at-home programs, ensure flexibility and broad reach. Why Choose Teleperformance? We emphasize the importance of our employees, fostering enduring relationships within our teams and communities. Our dedication to employee satisfaction distinguishes us. Utilize advanced support technologies and processes engineered to achieve outstanding results. We cultivate lasting client relationships and make positive contributions to our local communities. Become Part of an Exceptional Team Join Teleperformance, where our world-class workforce and innovative solutions drive success. Experience a workplace that values your development, supports your goals, and celebrates your accomplishments. Job Description Responsible for performing general analytics and statistical modeling on existing data sets in various areas of the business (eg, Market Economics, Supply Chain, Marketing/Advertising, Financial Services, Scientific Research, etc). Activities include: defining data requirements, data collection, processing, cleaning, analysis, modeling and visualization. Examines and identifies data patterns and trends to help answer business questions and improve decision making. Provides inputs for complex Data Science and Big Data Mining projects. Identifies areas to increase efficiency and automation of data analysis processes. Positions on this level are fully proficient in executing established standards. Works independently within set frames and follows set course. Has a knowledge base typically acquired from a professional/university degree and approximately 1-2 years of practical professional experience in a particular area. Develops own knowledge, shares best practice and develops relevant/appropriate solutions. Positions at this level are expected to continuously improve the day-to-day activities/processes. Can be a formal team leader of more junior co-workers and may set day-to-day operational objectives.

Join Teleperformance Where Excellence Meets Opportunity! Teleperformance is a leading provider of customer experience management, offering premier omnichannel support to top global companies. Our diverse service locations, including on-site and work-at-home programs, ensure flexibility and broad reach. Why Choose Teleperformance? We emphasize the importance of our employees, fostering enduring relationships within our teams and communities. Our dedication to employee satisfaction distinguishes us. Utilize advanced support technologies and processes engineered to achieve outstanding results. We cultivate lasting client relationships and make positive contributions to our local communities. Become Part of an Exceptional Team! Join Teleperformance, where our world-class workforce and innovative solutions drive success. Experience a workplace that values your development, supports your goals, and celebrates your accomplishments. Job Description Responsible for performing general analytics and statistical modeling on existing data sets in various areas of the business (eg, Market Economics, Supply Chain, Marketing/Advertising, Financial Services, Scientific Research, etc). Activities include: defining data requirements, data collection, processing, cleaning, analysis, modeling and visualization. Examines and identifies data patterns and trends to help answer business questions and improve decision making. Provides inputs for complex Data Science and Big Data Mining projects. Identifies areas to increase efficiency and automation of data analysis processes. Positions on this level are fully proficient in executing established standards. Works independently within set frames and follows set course. Has a knowledge base typically acquired from a professional/university degree and approximately 1-2 years of practical professional experience in a particular area. Develops own knowledge, shares best practice and develops relevant/appropriate solutions. Positions at this level are expected to continuously improve the day-to-day activities/processes. Can be a formal team leader of more junior co-workers and may set day-to-day operational objectives.

As a Machine Learning Engineer at our company located in Coimbatore, Tamil Nadu, India, you will play a crucial role in developing, validating, and implementing machine learning models and algorithms. Your main responsibilities will include analysing large and complex datasets to derive actionable insights and collaborating with cross-functional teams to seamlessly integrate models into our products and services. It will be essential for you to stay updated with the latest techniques in statistical modeling and machine learning to ensure we are leveraging cutting-edge technologies. To excel in this role, you must have proven experience in machine learning algorithms and statistical modeling. Proficiency in Python is a must, along with familiarity with data science libraries such as TensorFlow, Scikit-learn, and Pandas. Additionally, experience with cloud platforms is required, with expertise in Google Cloud being preferred, though experience with AWS or Azure is also valuable. Your strong analytical and problem-solving skills will be put to the test, and your excellent communication abilities will be crucial in explaining complex models to non-technical stakeholders. In addition to the technical requirements, having previous experience in ERP systems and familiarity with big data technologies like Hadoop and Spark will be advantageous. An advanced degree in Computer Science, Statistics, or a related field is also a key qualification for this position. What makes this job great is the opportunity to work with a team of smart individuals in a friendly and open culture. You will not have to deal with micromanagement or cumbersome tools, and rigid working hours will not be a concern. At our company, you will have real responsibilities and the chance to expand your knowledge across various business industries. Your work will involve creating content that directly impacts our users on a daily basis, presenting you with real responsibilities and challenges in a fast-evolving company. Join us in this exciting role where you can contribute to cutting-edge machine learning projects and be part of a dynamic and innovative team.,

Niograph is a fast-growing startup specializing in data and artificial intelligence, offering consulting and innovative solutions across various industries. We focus on digital transformation, data and AI consulting, data visualization, data engineering, data analytics, and staff augmentation. Operating in the US, Middle East, and European markets, we deliver cutting-edge data-driven solutions to enhance business operations. We are seeking a highly skilled and experienced Data Science Lead to join our team. The ideal candidate will be responsible for leading a team of data scientists and analysts, driving data-driven decision-making, and designing innovative solutions to solve complex business challenges. You will collaborate with cross-functional teams to implement advanced machine learning models, develop data strategies, and ensure the delivery of impactful insights for our clients in the US, Middle East, and European markets. Responsibilities: - Lead and mentor a team of data scientists and analysts, fostering a culture of collaboration and innovation. - Define and implement data science strategies aligned with business goals. - Design, build, and deploy machine learning models to solve real-world problems. - Collaborate with engineering teams to ensure seamless integration of data science solutions into production. - Work closely with stakeholders to identify business challenges and translate them into data science projects. - Oversee the development and deployment of predictive and prescriptive analytics solutions. - Ensure data quality, governance, and compliance with industry standards and regulations. - Stay updated on the latest advancements in data science, machine learning, and AI to drive innovation. - Prepare and deliver technical presentations and insights to stakeholders and clients. - Provide regular updates on team performance, project progress, and outcomes to senior management. Qualifications: - Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (Masters or PhD preferred). - Proven experience in leading and managing data science teams. - Strong expertise in machine learning, AI, and statistical modeling techniques. - Proficiency in Python, R, SQL, and other relevant programming languages. - Experience with cloud platforms like AWS, Azure, or GCP for data science and analytics. - Familiarity with data visualization tools such as Tableau, Power BI, or similar. - Excellent problem-solving skills and the ability to work with large datasets. - Strong knowledge of data governance, security, and compliance standards. - Exceptional communication skills, both verbal and written, with the ability to explain technical concepts to non-technical audiences. - Experience in the finance, healthcare, or logistics industries is a plus. - Willingness to travel as required for client engagements and project implementations. Other Details: Joining Date: 15-01-2025 (Immediate) Work Location: As per End Customer Requirement Job Requisition Budget: As per Industry Standard Last Date to Apply: 10-01-2025 Preference: Delhi NCR candidates are preferred Contract Details: This is a 6-month contract role and may transition to a full-time role based on performance.,

As a Manager or Senior Manager in the Strategic Forecasting role at Genpact, you will be responsible for developing short and long-term forecast models in the pharmaceutical industry. Your main tasks will include maintaining forecast models to reflect current data, seeking key business issues that impact product and market forecasts, and incorporating primary research results into forecast models. You will collaborate with client partners to anticipate risks and opportunities, implement new market trends and innovations, and drive automation of existing systems to enhance forecasting accuracy and efficiency. In this position, you will work closely with the Forecasting Center of Excellence to ensure objectivity of brand/therapeutic area forecasts, develop brand volume forecasts, conduct sensitivity analysis for risk management, and provide strategic insights on portfolio and brand strategy. You will also be responsible for reviewing sales performance, collaborating with internal and external partners to acquire relevant data, and presenting forecast approaches and methodologies at the executive level. Additionally, you will lead initiatives for new forecast approaches and methodologies, focus on analytics to drive improvement opportunities, and stay updated on leading analytic capabilities in the pharmaceutical industry. To qualify for this role, you should have a Master's degree in Pharmacy, Business Administration, Statistics, Data Science, Applied Mathematics, or a related quantitative field. You should also have 4-6 years of experience in pharma forecasting, analytical experience in the healthcare and life sciences industry, and expertise in forecasting techniques and models. Proficiency in tools and techniques such as SQL, Tableau, Alteryx, and machine learning/statistical learning concepts is required. Experience with large datasets, patient modeling approaches, and analytical tools like Python/R is preferred. Strong communication skills, proactive mindset, and the ability to work independently and deliver results in demanding situations are essential for success in this role. If you are a proactive planner with a passion for seeking new challenges and driving continuous innovation in forecasting, we encourage you to apply for the Senior Manager position at Genpact in Pune, India. This is a full-time role that requires a Master's degree or equivalent education level. The job posting date is Oct 7, 2024, and applications are ongoing.,

As a Data Science Trainer at Bright Future IT Solution located in Aurangabad, you will be responsible for designing and delivering training programs, workshops, and courses on data science concepts, tools, and techniques. Your role will involve utilizing your proficiency in Python, R, and SQL to impart knowledge in machine learning, data analysis, and statistical modeling. Strong communication and presentation skills are essential as you engage with diverse groups of learners. You should have experience in curriculum development and training delivery. A Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field is preferred for this full-time on-site position.,

As a Technical Solutions Consultant, you will be the primary point of contact for our largest advertising clients and product partners, overseeing the technical aspect of our relationship. You will collaborate with cross-functional teams in Engineering, Sales, and Product Management to implement cutting-edge technologies for external clients. Your responsibilities will range from conceptual design and testing to data analysis and support, ensuring the technical execution and business operations of Google's online advertising platforms and product partnerships. Your role will involve striking a balance between business requirements and technical constraints, developing innovative solutions, and serving as a trusted consultant to your collaborators. You will lead the development of tools and automation products, manage the technical aspects of Google's partnerships, drive product strategy, and prioritize projects and resources effectively. The Google Pixel team is dedicated to enhancing the mobile experience by designing and delivering world-class products. By leveraging advanced designs, technologies, and experiences in consumer electronics, the team aims to shape the future of Pixel devices and services. This involves integrating Google's artificial intelligence, software, and hardware to create transformative experiences for users globally. Your key responsibilities will include: - Developing Extract, Transform, and Load (ETL) processes to automate data collection and reporting tasks using various large-scale distributed data systems. - Creating and reviewing technical and end-user documentation, such as requirements and design documents, data standards, and policies. - Designing, optimizing, and managing data warehouses and reporting systems. - Leading a team of Data Engineers and Business Intelligence Engineers, collaborating closely with Software Engineering teams to design and acquire log-level data. - Designing dashboards, optimizing statistical models, and presenting accurate findings to stakeholders. Your background should ideally include a Bachelor's degree in Science, Technology, Engineering, Mathematics, or related fields, along with at least 9 years of experience in data engineering or data sciences. A Master's degree and proficiency in programming languages like Python or Java would be advantageous. Experience in source control systems, statistical analysis, and modeling will also be beneficial for this role. Additionally, your ability to drive the development of business solutions and infrastructure, translate analysis results into actionable insights, and prioritize tasks effectively will be critical to your success in this position.,

Looking for statistical analysis or predictive modelling candidates with skills in Power BI, Alteryx, SQL, Python or Java, Data Analysis, Data modelling, ETL, Data processing. This role requires developing statistical learning models.

Research, design, develop, and modify computer vision and machine learning algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow - Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives - Help build a high-impact ML/AI team by supporting recruitment, training and development of team members - Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels Knowledge & Abilities: - Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection - Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: : One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised LearningDeveloped feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the following: Tableau, Hadoop, Spark, HBase, Kafka Experience: - 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets - Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud- Working w/ one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have: - Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager Mandatory Skills: : Generative AI Experience: 3-5 Years

Project description We are seeking a highly skilled and motivated Data Scientist with 5+ years of experience to join our team. The ideal candidate will bring strong data science, programming, and data engineering expertise, along with hands-on experience in generative AI, large language models, and modern LLM application frameworks. This role also demands excellent communication and stakeholder management skills to collaborate effectively across business units. Responsibilities We are seeking a highly skilled and motivated Data Scientist with 5+ years of experience to join our team. The ideal candidate will bring strong data science, programming, and data engineering expertise, along with hands-on experience in generative AI, large language models, and modern LLM application frameworks. This role also demands excellent communication and stakeholder management skills to collaborate effectively across business units. Skills Must have Experience5+ years of industry experience as a Data Scientist, with a proven track record of delivering impactful, data-driven solutions. Programming Skills: Advanced proficiency in Python, with extensive experience writing clean, efficient, and maintainable code. Proficiency with version control tools such as Git. Data EngineeringStrong working proficiency with SQL and distributed computing with Apache Spark. Cloud PlatformsExperience building and deploying apps on Azure Cloud. Generative AI & LLMsPractical experience with large language models (e.g., OpenAI, Anthropic, HuggingFace). Knowledge of Retrieval-Augmented Generation (RAG) techniques and prompt engineering is expected. Machine Learning & ModelingStrong grasp of statistical modeling, machine learning algorithms, and tools like scikit-learn, XGBoost, etc. Stakeholder EngagementExcellent communication skills with a demonstrated ability to interact with business stakeholders, understand their needs, present technical insights clearly, and drive alignment across teams. Tools and librariesProficiency with libraries like Pandas, NumPy, and ML lifecycle tools such as MLflow. Team CollaborationProven experience contributing to agile teams and working cross-functionally in fast-paced environments. Nice to have Hands-on experience with Databricks and Snowflake. Hands-on experience building LLM-based applications using agentic frameworks like LangChain, LangGraph, and AutoGen. Familiarity with data visualization platforms such as Power BI, Tableau, or Plotly. Front-end/Full stack development experience. Exposure to MLOps practices and model deployment pipelines in production.

MEET THE TEAM We are a high-performing analytics team on a mission to embed AI into every layer of our decision-making. By demonstrating machine learning, large language models (LLMs), and automation, we're redefining how data powers innovation and efficiency at scale. YOUR IMPACT As the AI Lead, you'll architect AI-powered BI systems integrating Snowflake, Tableau, and natural language interfaces. Youll transform ETL workflows with ML automation and build multi-agent AI systems to supervise KPIs, generate dashboards, and drive insights in real time. MINIMUM QUALIFICATIONS Proven expertise in building AI apps (LLMs, RAG, NLP, Deep Learning). Sophisticated Python, SQL (Snowflake), and Tableau dashboarding. Experience with ML pipelines, GenAI frameworks (LangChain, Hugging Face). Ability to lead workshops, PoCs, and mentor teams. Close collaboration with AI/engineering/product teams. Continuous learning mindset with industry awareness. BASIC QUALIFICATIONS Bachelors/Masters in CS, AI, or related field. 10+ years in BI/Analytics; 3+ in AI/ML roles. Expertise in LLMs (OpenAI, Claude, Llamas), RAG, and agent-based systems. Strong MLOps skills: model deployment, lifecycle management. Leadership in cross-functional teams and innovation delivery. PREFERRED QUALIFICATIONS Experience with multi-agent AI in BI, Snowflake Cortex, and MLOps tools like Kubeflow. Proven track record integrating AI with enterprise BI platforms for business impact.

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC & Summary We are seeking a skilled Python Plotly Dash Dashboard/ Web Application Developer to join our team. The ideal candidate will have a strong background in building interactive web applications using Plotly Dash and be adept at translating business requirements into functional features. This role involves collaborating with crossfunctional teams to design, develop, and maintain impactful data visualization tools. s Design and develop sophisticated dashboards using Plotly Dash. Collaborate with internal teams and stakeholders to gather and understand requirements. Analyze data using Python libraries such as Pandas and NumPy ,Plotly Express etc. Optimize the performance and scalability of dashboards. Identify and troubleshoot issues in existing dashboards. Stay abreast of industry trends and new technologies. Mandatory skill sets 2 to 6 years of experience in developing dashboards using Plotly Dash. Strong proficiency in Python programming. Experience with web technologies, including HTML, CSS, and JavaScript. Ability to work with databases and extract relevant data. Understanding of data visualization principles. Excellent problemsolving skills and attention to detail. Strong communication skills with the ability to effectively convey technical information to nontechnical stakeholders Preferred skill sets Familiarity with cloud platforms and services (e.g., AWS, Azure, GCP) is a plus. Understanding UI/UX design principles. Familiarity with other data visualization tools. Years of experience required 47 years experience req. Education qualification B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.) Education Degrees/Field of Study required Bachelor of Technology Degrees/Field of Study preferred Required Skills Plotly, Python (Programming Language) Microsoft Azure No