1151 Statistical Modeling Jobs - Page 46

Experience in data science with a focus on predictive modelling. Expertise in AI, ML, cloud, and generative AI to build innovative data solutions. Cloud Architecture (GCP). Expertise in machine learning and NLP. MLOps principles and tools for CI/CD,

What Youll Do Develop and apply advanced statistical models that help clients understand dynamic business issues. Leverage analytic techniques to use data to guide client and ZS team decision-making. Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs. Synthesize and communicate results to clients and ZS teams through oral and written presentations. Develop client relationships and serve as key point of contact on aspects of projects. Provide client and ZS teams project status updates. Create project deliverables and implement solutions. Advance problem-solving skills and improve ZSs capabilities; Guide and mentor Associates on teams. What Youll Bring Bachelor's or master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering. 2-4 years of relevant post-collegiate job experience. A PhD may substitute in lieu of work experience. High motivation, good work ethic, maturity and personal initiative. Strong oral and written communication skills. Empathy, adaptability and emotional intelligence. Close attention to detail, with a quality-focused mindset. Self-discipline for planning and organizing tasks. Aptitude for, and enjoyment of, working in teams.

What Youll Do Develop and apply advanced statistical models that help clients understand dynamic business issues. Leverage analytic techniques to use data to guide client and ZS team decision-making. Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs. Synthesize and communicate results to clients and ZS teams through oral and written presentations. Develop client relationships and serve as key point of contact on aspects of projects. Provide client and ZS teams project status updates. Create project deliverables and implement solutions. Advance problem-solving skills and improve ZSs capabilities; Guide and mentor Associates on teams. What Youll Bring Bachelor's or master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering. 2-4 years of relevant post-collegiate job experience. A PhD may substitute in lieu of work experience. High motivation, good work ethic, maturity and personal initiative. Strong oral and written communication skills. Empathy, adaptability and emotional intelligence. Close attention to detail, with a quality-focused mindset. Self-discipline for planning and organizing tasks. Aptitude for, and enjoyment of, working in teams.

What you’ll do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What You’ll Bring A master’s degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc A proficiency in at least one programming language (e.g., Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

About The Role 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.

About The Role 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.

About The Role 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.

Practice Overview Practice: Data and Analytics (DNA) - Analytics Consulting The Role and Responsibilities We have open positions ranging from Data Scientist to Director, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or Masters degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required: Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence.

Job Opportunity: Senior Data Analyst Bangalore Location: Bangalore, India Company: GSPANN Technologies Apply: Send your resume to heena.ruchwani@gspann.com GSPANN is hiring a Senior Data Analyst with 57 years of experience to join our dynamic team in Bangalore! What Were Looking For: Education: Bachelor’s degree in Computer Science, MIS, or a related field Experience: 5–7 years in data analysis, with a strong ability to translate business strategy into actionable insight Advanced SQL expertise Proficiency in Tableau , Power BI , or Domo Experience with AWS , Hive , Snowflake , Presto Ability to define and track KPIs across domains like Sales, Consumer Behavior, and Supply Chain Strong problem-solving skills and attention to detail Excellent communication and collaboration abilities Experience working in Agile environments Retail or eCommerce domain experience is a plus If this sounds like the right fit for you, don’t wait— send your updated resume to heena.ruchwani@gspann.com today!

Years of experience : 6-10 years Office/Regions available: Bengaluru, Gurugram As an Actuarial Consultant , you will work alongside and learn from Oliver Wymans industry leaders and other experienced consultants while contributing to a broad range of client projects. You will gain industry exposure with Oliver Wymans clients, which include top tier insurance companies, reinsurance companies, investment banks, law firms, state regulators, and private equity firms. Potential projects may include: Actuarial model development of Life and Annuity products, valuation, and analysis support Transformation of pre and post actuarial model data and processes, including systems and financial reporting integration, analytics, and workflow Contributing to Asset Liability Management. M&A, and Strategic Reinsurance efforts Actuarial model conversions and optimization Perform Actuarial model testing and validation Attending client and industry presentations, surveys, case studies and marketing support Development and maintenance of intellectual capital Qualifications and Desired Skills Bachelors or Masters degree, preferably in Actuarial Science, Mathematics, Statistics, Finance or a related field Qualified or nearly qualified from SOA/IFoA/IAI Track record of and desire for rapid learning, high performance, and professional growth Strong written and oral communication skills Excellent time management skills Ability to work independently and direct junior staff Understanding of the value of collaboration, and the ability to work effectively in a team setting Deep critical-thinking skills and problem-solving ability Highly motivated individual and willingness to work in a dynamic environment Strong skills with MS Excel, MS Access or other database software, with VBA or other programming languages experience Experience in Moodys AXIS or FIS Prophet or similar Actuarial platforms is required

Overview The Senior Data Science Engineer will leverage advanced data science techniques to solve complex business problems, guide decision-making processes, and mentor junior team members. This role requires a combination of technical expertise in data analysis, machine learning, and project management skills. Responsibilities Data Analysis and Modeling Analyze large-scale telecom datasets to extract actionable insights and build predictive models for network optimization and customer retention. Conduct statistical analyses to validate models and ensure their effectiveness. Machine Learning Development Design and implement machine learning algorithms for fraud detection, churn prediction, and network failure analysis. Telecom-Specific Analytics Apply domain knowledge to improve customer experience by analyzing usage patterns, optimizing services, and predicting customer lifetime value. ETL Processes Develop robust pipelines for extracting, transforming, and loading telecom data from diverse sources. Collaboration Work closely with data scientists, software engineers, and telecom experts to deploy solutions that enhance operational efficiency. Data Governance : Ensure data integrity, privacy, security and compliance with industry standards Requirements Advanced degree in Data Science, Statistics, Computer Science, or a related field. Extensive experience in data science roles with a strong focus on machine learning and statistical modeling. Proficiency in programming languages such as Python or R and strong SQL skills. Familiarity with big data technologies (e.g., Hadoop, Spark) is advantageous. Expertise in cloud platforms such as AWS or Azure.

As an Actuarial Analyst , you will work alongside and learn from Oliver Wymans industry leaders and other experienced consultants while contributing to a broad range of client projects. You will gain industry exposure with Oliver Wymans clients, which include top tier insurance companies, reinsurance companies, investment banks, law firms, state regulators, and private equity firms. Potential projects may include: Actuarial model development of Life and Annuity products, valuation, and analysis support Supporting the transformation of pre and post actuarial model data and processes, including systems and financial reporting integration, analytics, and workflow Contributing to Asset Liability Management efforts Assisting with actuarial model conversions and optimization Perform Actuarial model testing and validation Attending client and industry presentations, surveys, case studies and marketing support Development and maintenance of intellectual capital Qualifications and Desired Skills Bachelors or Masters degree, preferably in Actuarial Science, Mathematics, Statistics, Finance or a related field Commitment to passing actuarial exams Track record of and desire for rapid learning, high performance, and professional growth Strong written and oral communication skills Excellent time management skills Understanding of the value of collaboration, and the ability to work effectively in a team setting Deep critical-thinking skills and problem-solving ability Highly motivated individual and willingness to work in a dynamic environment Strong skills with MS Excel, MS Access or other database software, with VBA or other programming languages experience Experience in Moodys AXIS or FIS Prophet is preferred

About OJ Commerce: OJ Commerce (OJC), a rapidly expanding and profitable online retailer, is headquartered in Florida, USA, with a fully-functional office in Chennai, India. We deliver exceptional value to our customers by harnessing cutting-edge technology, fostering innovation, and establishing strategic brand partnerships to enable a seamless, enjoyable shopping experience featuring high-quality products at unbeatable prices. Our advanced, data-driven system streamlines operations with minimal human intervention. Our extensive product portfolio encompasses over a million SKUs and more than 2,500 brands across eight primary categories. With a robust presence on major platforms such as Amazon, Walmart, Wayfair, Home Depot, and eBay, we directly serve consumers in the United States. As we continue to forge new partner relationships, our flagship website, www.ojcommerce.com, has rapidly emerged as a top-performing e-commerce channel, catering to millions of customers annually. Responsibilities: • Develop, validate, and implement advanced statistical models, including mixed effects models, structural equation modelling, generalized additive models (GAMs), Bayesian modelling, and hierarchical models to address complex business challenges. • Analyze large datasets using statistical techniques to extract actionable insights and trends. • Collaborate with stakeholders to understand business needs and translate them into analytical solutions. • Present findings and recommendations clearly to both technical and non-technical audiences. • Stay current with industry trends, statistical methodologies, and best practices in data analysis. • Document methodologies and results, ensuring transparency and reproducibility of models. • Conduct exploratory data analysis to inform model development and improve accuracy. • Participate in continuous improvement initiatives to enhance modelling processes and tools. Qualifications: • Masters degree or above in Statistical Sciences. • Proven experience in statistical modeling, data analysis, and predictive analytics. • Very strong proficiency in statistical software (e.g., R, Python, SAS, SPSS) and data visualization tools (e.g., Tableau, Power BI). • Strong understanding of advanced statistical techniques, including regression analysis, time series forecasting, mixed effects models, structural equation modeling, generalized linear models (GLMs), machine learning algorithms (e.g., decision trees, random forests, support vector machines), and Bayesian inference. • Excellent problem-solving skills and attention to detail. • Strong communication skills, with the ability to convey complex statistical concepts to diverse audiences. • Experience with data management and database systems (e.g., SQL) is a plus. What we Offer • Competitive salary • Medical Benefits/Accident Cover • Flexi Office Working Hours • Fast paced start up

Job Purpose The selected candidate will join the Global Quantitative Research team at ICE which designs, implements, and supports enterprise quantitative models and systems. The primary responsibility of this position will be to lead quantitative research and implementation team supporting various business functions at ICE (Exchange, Data Services, etc.). This job requires strong quantitative finance skills, a passion to see projects succeed and a strong attention to detail. It requires programming skills as well as mathematical knowledge. This role will interact with various teams of different backgrounds and expertise, so the ability to communicate clearly and concisely is a must. This role will have direct exposure to interest rate derivatives, equity derivatives, credit derivatives and commodity derivatives. Knowledge of Clearing operations and a strong background in derivatives pricing and theory is preferred. Responsibilities Drive clearing house margin, stress and collateral management models R&D. Define business requirements and specifications for model upgrades and enhancements. Perform risk analysis and develop risk solutions for new products across all asset classes. Model specific risks such as concentration charges and wrong way risk. Contribute strongly to hands-on and ad-hoc requests for development and solutions in time-critical situations. Document and present risk models and risk reports for clearing members, regulators, risk committees and boards. Interact with risk departments to provide support for existing clearing house quantitative models. Interact with technology groups for production implementation design. Candidate will be working the US shift initially. However, this can evolve as the team matures and candidate should be flexible to work any shift as per business requirements. Knowledge and Experience PhD or Masters in Physics, Mathematics, Quantitative Finance, Statistics, or a relevant scientific field. years of work experience in quantitative finance fields from financial institutions, with proven record designing or implementing quantitative finance models. Strong mathematical knowledge of financial derivatives pricing and risk management models. Excellent quantitative, analytical and problem-solving skills with solid knowledge of statistics, particularly time series analysis. Excellent C++ and Python required, and 2+ years of experience preferred. Strong numerical methods skills. Capable of working under pressure within a diverse team to accommodate tight deadlines. Excellent oral and written communication skills.

We are seeking a skilled and experienced Machine Learning Engineer specialized in Natural Language Processing (NLP) and Computer Vision to join our team. The ideal candidate should have a strong foundation in ML and AI principles, coupled with a proven track record of developing and deploying a minimum of 20+ models in these domains.

About the Digital Business Unit at IndusInd: The mandate of the Digital Business Unit at IndusInd Bank is as follows: Building customer centric products with human centered design principles for retail Individual and micro, small and medium enterprise (MSME) customer segments Build innovative products and propositions backed with problem solving mindset to discover and solve latent needs of customers Build Embedded Finance (Banking as a Service) applications Ensure designs are highly available, highly modular, highly scalable and highly secure Drive digital business Some of the applications managed by the Digital Business Unit include IndusMobile (banks mobile app for retail individual clients), Indusnet (net banking application of the bank), IndusMerchantSolutions app, Whatsapp Banking, Chatbots, easycredit for Individuals, easycredit for Business Owners, savings, current account and fixed deposit online platforms. There are many more innovative digital products and solutions in pipeline. The units objectives are three fold - (a) Drive better customer experience and engagement (b) transform existing lines of businesses and (c) build new digital only or banking as a service led digital business models. About the Role: You would be part of asset analytics and data science team and work on cutting edge problems for the bank. The individual will work closely with the stakeholders across risk, business, partnerships, digital and strategy in creating and refining strategies to augment profitability and growth for the bank. The incumbent will majorly be responsible with coming up data driven and actionable insights and presenting them to relevant stakeholders The candidate will work in close collaboration with digital product, growth, and marketing teams. Job Responsibilities: Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding. Well versed with necessary data reprocessing and feature engineering skills. Strong background in Statistical Analysis. Constantly look and research on ML algorithms and data sources for better prediction Work and coordinate with multiple stakeholders to identify opportunities for leveraging company data to drive business solutions, implement models and monitor outcomes. Assess the effectiveness and accuracy of new data sources and data gathering techniques and develop processes and tools to monitor and analyze model performance and data accuracy. Experience in establishing/scaling up data science functions Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Leverage analytics to increase customer lifetime value for clients acquired digitally by pitching right product to the right client at the right time Help define pricing models for digital value propositions for various segments of users / clients to ensure profitability of the portfolio and to ensure achievement of business outcomes Work with product, growth, and marketing teams across product/campaign lifecycle Empower product and marketing teams by creating automated dashboards and reports using PowerBI Education, Work Experience, Key Skill Set Requirements: BE / B-Tech/M.E./M.Tech/MBA/PGDBM from Tier 1/Tier 2 colleges 2-4 years of Data Science experience preferably in Banking/ Financial Services Model development experience in Python Strong and in-depth understanding of statistics Strong strategic thought leadership and problem-solving skills with ability to tackle unstructured and complex business problems Excellent written and verbal communication Ability to build & use relationships and influence broadly across the organization Results driven with strong project management skills, ability to work on multiple priorities Handling Big Data, Segmentation, Analytics, Machine Learning, Artificial Intelligence, Statistics and Hypothesis Testing

Responsibilities : Data Analysis and Exploration : - Analyze large datasets to identify trends, patterns, and insights. - Perform exploratory data analysis (EDA) to understand data characteristics and relationships. - Develop and implement data preprocessing and cleaning techniques. Machine Learning Model Development : - Design, develop, and evaluate machine learning models for various applications (prediction, classification, clustering). - Select and implement appropriate algorithms and techniques based on project requirements. - Optimize model performance and ensure scalability. Statistical Analysis : - Apply statistical methods to analyze data and draw meaningful conclusions. - Conduct hypothesis testing and statistical modeling. - Develop and interpret statistical reports and visualizations. Data Visualization and Communication : - Create compelling visualizations to communicate data insights to technical and non-technical audiences. - Develop dashboards and reports to monitor key performance indicators (KPIs). - Present findings and recommendations to stakeholders. Collaboration and Communication : - Collaborate with engineers, product managers, and other stakeholders to define project requirements and deliver solutions. - Communicate complex technical concepts clearly and effectively. - Contribute to the development of data science best practices. Model Deployment and Monitoring : - Deploy machine learning models into production environments. - Monitor model performance and retrain models as needed. Qualifications : - Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. - 2-6 years of experience in data science. - Strong proficiency in Python and relevant libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). - Experience with SQL and database management. - Solid understanding of machine learning algorithms and statistical methods. - Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn). - Excellent problem-solving and analytical skills. - Strong communication and collaboration skills. - Experience with cloud platforms (AWS, Azure, GCP) is a plus.

As a Data Science Manager you will have following key accountabilities: Team Leadership: Build and lead a high-performing team of 6-8 Data Scientists and Machine Learning Engineers in our Pune hub. Foster a collaborative and inclusive team culture that encourages innovation and continuous learning. Technical Communication: Explain Data Science principles, concepts, algorithms, and approaches in simple terms to diverse audiences, including non-technical stakeholders. Business Understanding: Utilize your solid business understanding to align with stakeholders, discuss requirements and feasibility, and manage expectations effectively. Ensure clear communication and understanding of project goals and outcomes. Key Qualifications Educational Background: PhD or Masters degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, with min 8+ years of experience as a Data Scientist. Leadership Experience: Proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams. Leadership Experience: Proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams Communication Skills: Ability to effectively communicate complex methodologies and technologies to both technical and non-technical audiences. Strong problem-solving skills and an independent working style. Technical Expertise: Strong statistical and machine learning modeling skills, including statistical tests, classification, predictive modeling, handling of missing data, and sampling/weighting techniques. Solid in analytical programming languages such as Python or R, along with their respective ecosystems. Hands-on experience implementing these models in production systems. Proficient in software development skills, including unit testing, CI/CD, and version control with Git, along with familiarity with computer science and engineering fundamentals such as data structures, software design principles, and testing strategies. Preferred qualifications Experience in the Media/Market Research industry Experience working with cloud-based data services (AWS, Azure, or GCP) Experience with Optimization techniques such as: linear programming, integer programming, genetic algorithms, constrained optimization is a plus If Interested, Please share your profile to elanchezhiyan.kg@nielseniq.com

Hinduja Global Solutions (HGS) is a global company specializing in business process management (BPM) and digital customer experience (CX) solutions. HGS offers a range of services including contact center solutions, back-office processing, and integrated digital platforms. They are part of the Hinduja Group, a large multinational conglomerate. With over 20,000 employees across 34 delivery centers in 8 countries, HGS offers a spectrum of technology, digital marketing, and outsourcing solutions tailored to specific industry verticals. What we are looking for: Core Skills & Knowledge Programming: Expert Python; deep use of Pandas, NumPy, Scikit-learn, PyTorch/Lightning; strong OO and functional patterns. Large Language Models: Fine-tuning (LoRA, QLoRA, PEFT), prompt engineering, evaluation (BLEU, BERTScore, hallucination metrics). Machine Learning: Classical algorithms (tree-based, linear, ensemble, time-series), hyper-parameter search (Optuna, Ray Tune), model explainability (SHAP, Captum). Statistical Methods: Experimental design, p-value and power analysis, Bayesian A/B testing, causal inference. Vector Search & RAG: Embedding generation, similarity search tuning (HNSW, IVF-PQ), chunking strategies, knowledge-base hygiene. DevOps & Tooling: Git, Docker, Conda/Poetry, make/Task, notebook versioning, automated linting & unit tests (pytest). Cloud & Data Platforms: Familiarity with AWS (SageMaker, Bedrock) or Azure (ML, OpenAI) plus modern data warehouses (Snowflake, Redshift, BigQuery) and lake formats (Parquet, Delta). Why this role matters We deliver data-driven and GenAI-powered products that move business KPIs, not just models. Youll transform raw data and cutting-edge research (LLMs, causal inference, RAG pipelines) into production-grade capabilities that customers use every day. Key Responsibilities Responsibility Model development & experimentation – Build and validate supervised/unsupervised models (classification, regression, clustering) and LLM fine-tuning pipelines; design statistically rigorous experiments (A/B, multivariate, uplift). This also includes RAG applications, and tune RAG workflows with vector databases (pgvector, Milvus) and embeddings (OpenAI, Hugging Face). Optimize retrieval recall, latency, and hallucination rates. Causal & statistical analysis – Apply quasi-experimental methods (DID, propensity scoring, synthetic controls) and hypothesis tests to uncover drivers of business outcomes. Operationalization & MLOps – Package models as reproducible artifacts (MLflow, TorchScript, BentoML), write CI/CD tests, and partner with MLOps engineers on scalable deployment and monitoring. Data wrangling & feature engineering – Build robust ETL/ELT pipelines in Python (Pandas, Polars, SQL) and orchestrate workflows (Airflow, Dagster). Collaboration & knowledge sharing – Translate findings to non-technical stakeholders, contribute to shared notebooks, mentor junior analysts, and document best practices. Nice-to-Have / Stretch Skills Graph data science (Neo4j, Graph-SAGE) Streaming ML on Apache Kafka / Flink LangChain / LlamaIndex orchestration Real-time feature stores (Feast, Tecton) Domain knowledge in finance, healthcare, or supply chain Experience & Education 6-10 years of overall IT experience with over 5 years of relevant experience building and shipping ML models or GenAI services in production. Proven track record of improving a business metric (conversion, churn, NPS, cost) through data science. Bachelor’s or Master’s in Computer Science, Statistics, Mathematics, or related field (or equivalent hands-on experience). Working at HGS: At TekLink our employees get an open and collaborative environment and gain experience working for customers in various industries while solving complex business problems. They get support to learn new technologies as well as to enhance existing skills to further their career growth. We offer: Very competitive remuneration Excellent Benefits including – Hot Skills allowance, Shift allowance, Health, accidental and Life coverage. Excellent performance based annual increments. Fast paced growth opportunities International work experience Opportunity to participate in various sports and CSR activities.

Required Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, Data Science, or a related field. 5+ years of hands-on experience as an AI Engineer, Machine Learning Engineer, or a similar role focused on building and deploying AI/ML solutions. Strong proficiency in Python and its relevant ML/data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch). Extensive experience with at least one major deep learning framework such as TensorFlow, PyTorch, or Keras. Solid understanding of machine learning principles, algorithms (e.g., regression, classification, clustering, ensemble methods), and statistical modeling. Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services (e.g., SageMaker, Azure ML, Vertex AI). Proven experience with MLOps concepts and tools for model lifecycle management (e.g., MLflow, Kubeflow, Sagemaker MLOps, Azure ML Pipelines). Strong SQL skills for data manipulation, analysis, and feature extraction from relational databases. Experience with data preprocessing, feature engineering, and handling large datasets. Familiarity with software development best practices including version control (Git), code reviews, and CI/CD. Excellent problem-solving skills and the ability to work on complex, ambiguous problems. Strong communication and collaboration skills to work effectively with cross-functional teams. Artifical Intelligence, Data Science

Bachelor s degree in engineering or equivalent quantitative field (such as Statistics, Mathematics, Economics) 3+ years experience in the analytics domain Proficient with either R or Python and Spark Expertise in Excel and PowerPoint Knowledge of big data processing tools/frameworks like Qubole /Databricks/Spark, AWS Exposure on API Integrations Descriptive and Inquisitive Analytics, Statistical modelling and Advanced analytics Should have developed and implemented at least 2 analytics solutions end to end. Able to translate problems into business-ready deliverables. Excellent Storytelling and visualization skills Programmatic Media / Ad-Tech domain knowledge Knowledge of Agile methodology, Scrum framework, Sprint planning Exposure on Machine learning and Deep Learning Exposure to project management tools such as JIRA, Trello, Monday.com etc. Knowledge of Tableau/ PowerBI /Google Data Studio > Design and analysis of experiments Analytic, Python, R, Visualization

About CloudThat: At CloudThat, we are driven by our mission to empower professionals and businesses to harness the full potential of cloud technologies. As a leader in cloud training and consulting services in India, our core values guide every decision we make and every customer interaction we have. Our culture is built on: Proprietorship Process Thinking Relentless Learning Commitment to Client Innovativeness Proactiveness If these principles resonate with you, we invite you to be a part of our journey. Role Overview: As a Subject Matter Expert, you ll provide deep technical expertise in data and AI domains, Implement and help in designing scalable solutions, and resolve complex issues. The role includes mentoring junior members and driving project delivery through best practices. Key Responsibilities: Design and validate scalable ML and data architectures Guide implementation and troubleshoot high-complexity issues Mentor junior associates and conduct code reviews Collaborate with stakeholders to translate business problems into AI/ML solutions Research and integrate advanced AI techniques and frameworks Skills & Qualifications: Deep experience with ML frameworks (TensorFlow, PyTorch, etc.) Strong background in statistics, model training, and fine-tuning Expertise in Spark, PySpark, and scalable data pipelines Prior experience in mentoring and team collaboration AWS Certified - Machine Learning Speciality and Developer Associate Any Bachelor s degree Why Work at CloudThat? Work on cutting-edge cloud transformation projects for enterprise clients. Be part of a values-driven organization where Customer Obsession, Ownership, and Trust are central. Enjoy a collaborative, growth-oriented environment where curiosity and innovation are celebrated. Access continuous learning opportunities, mentorship, and sponsored certifications. Contribute to a dynamic company thats thinking big and making a lasting industry impact. Technical Competencies: Under standing of Advance Data and AI/ML concepts Training Finetuning and Statistical Modeling Behavioural Competencies: Communication Skills Team Building Core Value Competencies: Proactiveness Commitment to Client

Roles and Responsibilities: Co-odinate with Departments of Gynaecology and Dermatology for subject recruitment Obtain relevant clinical details of subjectrs recruited and take informed consent Follow up subjects periodically (Telephonic) Collection of blood and vaginal swabs Transportation of samples Data entry and correspondence with ICMR

Job Characteristics:Demonstrates ability to extensively use and apply data science principles, methods, theories, and concepts to assignments where precedents may not exist. Demonstrates working knowledge and interconnectivity of other related disciplines. Provides solutions to a wide range of difficult problems through design and execution of data science research. Demonstrates ability and initiative to identify, experiment and collaborate on novel approaches to data science solutions. Makes significant contributions to the exploration, refinement and deployment of data science solutions. Education/Work Experience:Degree or advanced degree in data science, mathematics, statistics, computer science or related field. BS and 8-10 years related experience or MS and 5 years related experience or PhD and less than 2 years experience. Independence level/Reports to:Provides basic leadership and individually contributes to key data science projects/experiments of moderate scope and complexity with high impact on the business. Acts with considerable latitude in determining technical approach required to meet desired objectives. Normally reports to Director, Data Science Manager, or senior technical leader.

We are seeking a highly skilled and motivated AI Engineer with deep expertise in Generative AI, Large Language Models (LLMs), and Transformer-based architectures. The ideal candidate will have hands-on experience in building, finetuning, and deploying cutting-edge AI/ML models with a strong grasp of real-world applications. Key Responsibilities: Design, develop, and deploy AI/ML models with a focus on Generative AI and LLMs. Fine-tune transformer-based models using Hugging Face, LangChain, or similar frameworks. Implement end-to-end pipelines for training, evaluation, and serving of models. Collaborate cross-functionally with product, engineering, and data teams to integrate AI capabilities into applications. Conduct exploratory data analysis and build predictive analytics models. Optimize and scale models for performance, cost, and latency. Contribute to research and stay current with the latest advancements in deep learning and MML (Multimodal Machine Learning). Key Skills and Requirements: Strong hands-on experience with Generative AI, LLMs (e.g., GPT, LLaMA, Mistral), and Transformer models. Proficient in Python, SQL, and deep learning frameworks such as PyTorch or TensorFlow. Experience with LangChain, LangGraph, and Hugging Face Transformers. Ability to fine-tune and evaluate foundation models on custom datasets. Familiarity with MML (Multimodal Learning) including text, image, and audio integration. Strong understanding of predictive analytics and statistical modeling. Experience with model deployment and serving in production environments is a plus. Excellent problem-solving and communication skills. Preferred Qualifications: Bachelor s/Master s degree in Computer Science, AI/ML, Data Science, or a related field. Experience working with vector databases, embedding models, or RAG architectures.