19784 Statistics Jobs - Page 41

The role is part of the finance centre of excellence and will support in financial reporting & compliance and taxation. The role will support implementation of policies, standards & processes in the respective areas. This is an operational role, responsible for delivering results that have direct impact on the achievement of results within the assigned account and business.Responsibilities Within the array of activities defined below, the role holder will be responsible for activities aligned to their respective finance function (financial reporting & compliance) Accrual accounting for accurate financials. Payroll & Prepaid Accounting. Review Reconciliation Preparation of bank reconciliation and to ensure minimum open line items. Review monthly Intercompany reconciliations to ensure complete and correct accounting in all entities. Preparation of monthly profit & loss account and variance analysis reporting for the management. Open item clearing of all General Ledger accounts in SAP to maintain Hygiene of books of account. Issue of Debit notes for all Intercompany transactions and ensuring regular settlement. Foreign exchange revaluation and analysis of Foreign exchange gain/(loss). Rental equalization and booking of AMC Cost. Liaison with Statutory Auditors of the respective entity. Ensure timely closer of Audit reports for respective entity. Preparation of audit on quarterly basis. Preparation of Balance sheet and schedules. Support internal and external audits, proving audit requirement and resolving all queries of the auditors with respect to each entity. Prepare related party reporting on a quarterly basis Work on Quarterly and Monthly Financial Review related inputs Minimum qualification & experienceexperience in FinanceDesired Skill sets Exceptional knowledge of Advanced Excel. SAP exposure required. Familiarity with finance and statistical analysis software Understanding of financial and accounting principles Understanding across finance domains (taxation, treasury etc)

ORMAE is hiring Lead OR Scientist Who we are: - ORAME is a successful Tech start-up founded and headed by Guinness World Record Holder Dr. Amit Garg an IIT Delhi Graduate who has won medals for India in Global Math Championships. ORMAE has 50+ Global Clients including 12+ $1B+ Clients. - ORMAE has helped them on 100+ Optimization & Data Science Projects across the globe including USA, Germany, UAE, Saudi Arabia, Japan & India. ORMAE is one of the very few Operations Research & Data Science consulting company, mainly focus in converting groundbreaking digital business transformation ideas into innovative Optimization and Data Science solutions. - Our services are extended to multiple areas like Supply Chain, logistics, health care, telecom, retail and many more. Requirement: - ORMAE is looking for a Lead OR Scientist with sound analytics background to deliver solutions for complex problems of our clients. -This is a Leadership Role; the candidate will be expected to Lead and mentor a Team of OR Scientists -One should have 6 plus years of working experience in designing and implementing complex/large scale optimization solutions. - The scientist should have exposure to Operations Research algorithm design and implementation. Advanced analytics experience is preferred. - Should have a strong interest and ability to solve mathematical modeling including column generation, cutting plane & LP tools like Cplex, Gurobi, GAMS, AMPL - "AIMMS knowledge is preferred" Skills : -Should have mentored a Team of OR Scientists (OR) in the similar capacity - Ability to understand the business problem and convert it as a mathematical model is preferred. Exposure to Optimization & statistical software like Cplex, Gurobi, Google OR tool, Arena, SAS, SPSS is preferred. - Should have a scientific mindset and interest in Operation Research algorithms w.r.t routing optimization, mathematical modeling, meta-heuristics, heuristics, forecasting, simulation model, inventory optimization, supply chain management. -Effective Client Management skills Additional skills: - Programming experience in Python/Java/C#/ C++/R of the optimization algorithm is preferred. Education : Graduation or Masters in Operations Research, Computer Science (with operations research experience), Industrial Engineering, Statistics, Business Analytics, or a similar field from any premium institute. Perks : - Working with a young enthusiast team. - A unique experience: Working on analytics to solve real-time problems. - Working with reputed mathematician Dr. Amit Garg (Guinness World Record Holder) Flexible working hours, with a high potential OR Team. What Is in it For Me ; Candidate Benefits : - Meritocracy based Career Progression - Global Exposure - Livewire Environment - Great Technical cross training & mentorship - Happening start up - in the garden city of Bengaluru If you find the job description aligned with your expertise and interests, please share your updated CV at vidhya_v@ormae.com

Responsibilities Implement and maintain customer analytics models including CLTV prediction, propensity modelling, and churn prediction Support the development of customer segmentation models using clustering techniques and behavioural analysis Assist in building and maintaining survival models to analyze customer lifecycle events Work with large-scale datasets using BigQuery and Snowflake Develop and validate machine learning models using Python and cloud-based ML platforms, specifically BQ ML, ModelGarden and Amazon Bedrock Help transform model insights into actionable business recommendations Collaborate with analytics and activation teams to implement model outputs Present analyses to stakeholders in clear, actionable formats Qualifications Bachelor's or master’s degree in Statistics, Mathematics, Computer Science, or related quantitative field 2-4 years’ experience in applied data science, preferably in marketing/retail Experience in developing and implementing machine learning models Strong understanding of statistical concepts and experimental design Ability to communicate technical concepts to non-technical audiences Familiarity with agile development methodologies Technical Skills Advanced proficiency in: SQL and data warehouses (BigQuery, Snowflake) Python for statistical modeling Machine learning frameworks (scikit-learn, TensorFlow) Statistical analysis and hypothesis testing Data visualization tools (Matplotlib, Seaborn) Version control systems (Git) Understanding of Google Cloud Function and Cloud Run Experience With Customer lifetime value modeling RFM analysis and customer segmentation Survival analysis and hazard modeling A/B testing and causal inference Feature engineering and selection Model validation and monitoring Cloud computing platforms (GCP/AWS/Azure) Key Projects & Deliverables Support development and maintenance of CLTV models Contribute to customer segmentation models incorporating behavioral and transactional data Implement survival models to predict customer churn Support the development of attribution models for marketing effectiveness Help develop recommendation engines for personalized customer experiences Assist in creating automated reporting and monitoring systems Soft Skills Strong analytical and problem-solving abilities Good communication and presentation skills Business acumen Collaborative team player Strong organizational skills Ability to translate business problems into analytical solutions Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual’s ability to perform their job.

Overview Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor’s “Best Places to Work” Seeking an astute individual that has a strong technical foundation with the additional ability to be hands-on with the broader engineering team as part of the development/deployment cycle, and deep knowledge of industry best practices, with the ability to implement them working with both the platform, and the product teams. The Platform Data Science and Machine Learning team works closely with sales, product and engineering teams to design and implement the next generation of retail solutions. Data Science team members bear the heavy burden of turning both small, sparse and massive data into actionable insights with measurable improvements to the customer bottom line. They use rigorous analysis and repeatable processes to implement both black box and interpretable models. The Data Science team uses MLOps to operationalize the machine learning pipeline. Scope Lead the data science workstream within implementation projects of our newly launched products and ML solutions at first customers in cooperation with Product Management and field teams Perform data analysis to discover patterns, trends and anomalies in customer data, translate the results into actionable insights, and present results and recommendations to support customers in improving their data quality. Configure and tune statistical algorithms such as time series and Machine Learning models from open source as well as BY’s libraries to support overall project objectives and achieve highest possible quality outcome Design and build tools and code templates to improve and/or speed up the data science workflow in customer projects to enable scale, leveraging new technologies such as GenAI Work with BY’s Data Scientists, Product Developers, Product Managers and other members of the Blue Yonder team to understand customer-specific requirements and data science related issues and translate them into model enhancement feature requests and tuning options Collaborate with Data Scientists, Solution Architects and Software Engineers to design and develop tools for the scalable use of AI solutions in supply chain Write clean, well-structured, documented and efficient (maintainable) code that adheres to software development best practices Create templates, artifacts, documentation, and training material for the larger data science community, customers and partners towards reusability and automation Actively and responsively collaborate with the field teams and customers to drive adoption of our new products and services Communicate and/or support the business cases to PMG and PD regarding specific trends for future product functionality and enhancements Mentor data science consultants in your own team and/or the wider BY team Keep up with industry trends in data science practice and continuously improve the team’s tools and methodologies Our Current Technical Environment Software: Python 3*, NumPy, SciPy, scikit-learn, SparkML, pandas, Jupyter Notebook, Matplotlib, Azure ML Application Architecture: Scalable, Resilient, Reactive, event driven, secure multi-tenant Microservices architecture Cloud: MS Azure Frameworks/Others: Snowflake, Kubernetes, Dataflow, Kubeflow, Keras, TensorFlow, PyTorch, FastAPI What We Are Looking For Graduate degree in computer science, statistics, or a related quantitative field, is required. PhD is a plus. 3+ years of demonstrated hands-on experience of script programming languages, preferably Python, with the typical PyData libraries like pandas, scikit-learn, TensorFlow, or pytorch, for data analytics and machine learning applications 5+ years of experience in software development and/or development of applications in the field of Machine Learning, statistical problem solving, data visualisation or similar Passion for and advanced knowledge of machine learning and statistical problem solving Demonstrated experience in building end-to-end data pipelines Demonstrated experience in building and maintaining the code base with git Demonstrated experience in bringing ML models into production is preferred High interest and/or experience in GenAI technologies is preferred Ability to translate complex data into business insights and opportunities to create value Ability to communicate analytic insights and recommendations to customers without a deep knowledge of statistics by relating data stories to business situations and processes Ability to create dashboards, visualizations, and reports to communicate statistical findings Familiarity with business processes for retail, pricing, and supply chain management is preferred Demonstrated experience with working with big data and parallel computing Ready to travel to customer sites based on business needs, and flexible to work with overlapping time zones German language skills on top of fluent English will be a plus. Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Bachelors degree in Business Analytics, Information Systems, Computer Science, Statistics, Actuarial Science, or a related field. 3+ years of experience as a data/business analyst working within insurance or financial services, with exposure to policy, claims, customer, or risk data. Strong skills in data querying, profiling, and transformation using SQL and Spark (Databricks/Spark SQL). Experience translating business requirements into data requirements, mapping data flows, and defining user stories/specs for data engineering teams. Familiarity with data governance platforms and best practices, especially using Informatica for data cataloguing, metadata management, and lineage. Understanding of insurance industry standards and regulatory requirements as they impact data capture, usage, and reporting (e.g., IFRS 17, Solvency II). Experience documenting data models, dictionaries, and business glossaries, and supporting user acceptance testing for analytical or reporting solutions. Excellent communication skills to work cross-functionally with business stakeholders, data engineers, architects, and governance teams.

Role Overview: We are seeking researchers with strong mathematical and analytical backgrounds to assist in fine-tuning and evaluating large language models (LLMs). Your work will help LLMs improve their ability to understand and solve complex math problems, such as multi-step algebra or logic questions. Research Objectives As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks: Determine the number of real 5×55 \times 55×5 symmetric matrices of rank 2 whose entries are only 0 or 1. How many subsets of a 10-element set exist such that the characteristic vector of each subset has Hamming weight exactly 3? How many distinct 10-digit numbers exist where the sum of the digits is divisible by 3, and each digit is either 0 or 1? These tasks are designed to find model weaknesses and improve training and evaluation workflows. Candidate Profile Academic Background: Enrolled in or completed a PhD/Postdoc in Mathematics, Applied Mathematics, Statistics, or a related field. Analytical Skills: Strong ability to solve advanced math problems with clear and structured reasoning. Communication Skills: Clarity in explaining complex topics and providing feedback with precision. Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions.. Technical Setup : Access to a reliable computer and internet setup to participate in remote assignments. Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required : at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Work on research that directly impacts the future of language model performance in mathematics and STEM. Collaborate with a global network of experts shaping next-generation AI benchmarks. Gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.

Bachelors degree in Business Analytics, Information Systems, Computer Science, Statistics, Actuarial Science, or a related field. 3+ years of experience as a data/business analyst working within insurance or financial services, with exposure to policy, claims, customer, or risk data. Strong skills in data querying, profiling, and transformation using SQL and Spark (Databricks/Spark SQL). Experience translating business requirements into data requirements, mapping data flows, and defining user stories/specs for data engineering teams. Familiarity with data governance platforms and best practices, especially using Informatica for data cataloguing, metadata management, and lineage. Understanding of insurance industry standards and regulatory requirements as they impact data capture, usage, and reporting (e.g., IFRS 17, Solvency II). Experience documenting data models, dictionaries, and business glossaries, and supporting user acceptance testing for analytical or reporting solutions. Excellent communication skills to work cross-functionally with business stakeholders, data engineers, architects, and governance teams.

Bachelors degree in Business Analytics, Information Systems, Computer Science, Statistics, Actuarial Science, or a related field. 3+ years of experience as a data/business analyst working within insurance or financial services, with exposure to policy, claims, customer, or risk data. Strong skills in data querying, profiling, and transformation using SQL and Spark (Databricks/Spark SQL). Experience translating business requirements into data requirements, mapping data flows, and defining user stories/specs for data engineering teams. Familiarity with data governance platforms and best practices, especially using Informatica for data cataloguing, metadata management, and lineage. Understanding of insurance industry standards and regulatory requirements as they impact data capture, usage, and reporting (e.g., IFRS 17, Solvency II). Experience documenting data models, dictionaries, and business glossaries, and supporting user acceptance testing for analytical or reporting solutions. Excellent communication skills to work cross-functionally with business stakeholders, data engineers, architects, and governance teams.

Credit Risk Location - Bangalore, Hyderabad, Mumbai, Pune, Gurgaon Notice - Immediate to 60 days Experience - 3+ years Overview PwC is one of the most prestigious professional services firm in the world, serving as the auditor to nearly half of the world’s largest banks. PwC US Risk and Regulatory (R&R) comprises of a highly experienced team of risk management specialists supporting global financial institutions in their risk management initiatives. R&R has significant exposure to, and driver of, industry leading practices and has deep knowledge of regulatory expectations. R&R professional’s experience covers all financial model types, including those used to manage credit risk, market risk, operational risk and compliance risk—as well as those used for financial reporting, valuations and economic capital estimation. Risk Analytics Center of Excellence (CoE), is the India extension of R&R practice and provides key risk analytics services to global banks, investment firms, and asset management entities. It comprises of risk analytics professionals with stellar quantitative pedigree from premier institutions, industry certifications in CFA, FRM, PRM etc. and proven professional credentials in risk modeling and analytics at reputed financial institutions and consulting firms. As an integral part of PwC US R&R, Risk Analytics CoE drives risk analytics engagements, opportunity pursuits and cutting edge innovation using data science, Artificial Intelligence, Machine Learning and Deep Learning. Credit Risk Analytics Professional Job Specification: Candidate would be responsible for developing, validating, auditing and maintaining credit risk models. Candidates would be expected to support financial institutions on meeting jurisdictional regulatory requirements and their broader risk management initiatives. Core Skill Requirements Candidate must have relevant experience in in statistical / mathematical modeling, quantitative research, credit risk management, or related field at a reputed bank, investment or broker services, asset management firm, Insurance provider or a consulting firm. Wider skill requirements include: Experience in Credit Risk Modeling PD/LGD/EAD – TTC, PIT, Stressed and unstressed portfolio Experience in Model Development, Model Validation, Model Audit (implementation and execution experience will not be considered directly relevant) Knowledge of one or more of global regulatory norms - CECL, IFRS 9, CCAR/DFAST, Basel II/III, SR-11/7, E-23 around data sufficiency, modeling methods, industry standards etc. Well versed with one or more statistical techniques used in credit risk modeling – Logistic Regression, Time series, OLS, Probit models, Survival techniques, Tobit, Fractional Logistic, Beta model, State Transition Matrix, Single Factor Merton model etc. Experience in Machine learning algorithms like Random Forest, SVM, Neural Network etc. and Artificial Learning use cases such as Natural Language Processing, Robotics etc. will be a plus Proficiency in one or more analytical tools such as SAS, R, Python, Matlab, Scala, VBA etc. Experience in Data Science and cloud based analytics platform will be a plus Understanding of credit risk metrics like RWA, Expected loss, Regulatory and Economic capital, OTTI, Watchlist, Asset quality etc. Conceptual understanding of the data and methodology used for credit risk regulatory models Leveraging experiential know-how of a wide range of loan types, including C&I, CRE, RRE, ABL, Leasing, Credit Card, Vehicle, Personal etc. Prior experience in domains like commercial banking, retail banking, treasury, investment management and strong knowledge of risk data analysis and development, strategy design and delivery deployment. Vendor Experience o Experience in bureau data from credit unions e.g. D&B, Experian, Equifax, Transunion o Experience in vendor models and ratings like Fitch, Credit pro, Moody etc. o Knowledge about external / benchmark models on consumer portfolios is a plus (FICO Score, Standards and Poor's, Fitch or Moody's Ratings) o Selecting, implementing and/or using commercial credit risk workflow, analytics- e.g., Moody's KMV, S&P and/or, reporting technologies- e.g., Oracle, Cognos, et al. Non-functional skill requirements: In order to succeed in PwC Risk CoE, it is desirable for candidates to possess: Understanding of market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Excellent oral and written communication skills Solid analytical and problem-solving skills; ability to isolate and solve issues using large amounts of data Process orientation with strong technical skills and attention to detail Deep technical capabilities and industry knowledge of financial products Willingness to travel to meet client needs, as needed Educational Background: Desired candidate must have a master’s degree or higher in a quantitative discipline such as Economics, Statistics, Mathematics, Operation Research, Econometrics, Data Science, Finance, Engineering + MBA; advanced degree is a plus; Industry relevant certifications in CQF, FRM, CFA, CPA certification is a plus Additional Requirement for Senior Positions: Candidates aspirant of senior positions at PwC Risk CoE are expected to possess: Proven consulting skills to structure vague problems at hand and conceptualizing solutions Credentials in leading and driving large and or complex risk analytics engagements and initiatives independently Experience in supporting sales pursuits for risk analytics offerings and solutions Ability to manage multiple engagements simultaneously along with leading people and initiatives Strong conceptual understanding of various functional/technical skills Ability to drive innovation and thought leadership in the risk management domain Intellectual property, patents and exclusive rights on any innovative solution is a plus

Overview Hyland Software is widely known as a great company to work for and a great company to do business with. Being a leader in providing software solution for managing content, processes, and cases for organizations across the globe we enabled more than 20,000 organizations to digitalize their workplaces and transform their operations. Currently we are looking for the position of Cloud Specialist 4 . We are accepting applications from Hyderabad and Kolkata location only as this is Work from Office job opportunity. ( NO HYBRID OR REMOTE ALLOWED ) The Cloud Specialist 4 is primarily responsible for responding to and resolving the most complex monitoring alerts responding to and resolving requests from customers partners and the company services team responding to incidents working Disaster Recovery failover testing and working scheduled maintenance windows within the cloud environment. Qualifications What you will be doing Must have a bachelor’s degree A minimum of 7+ years of experience working in Infrastructure Support or NOC Expert Knowledge of Cloud technologies, SQL & CRM based applications Expert Knowledge of various monitoring tools like SolarWinds, BMC etc. Expert Knowledge of ITIL / ITSM framework & Process Experience in leading small teams preferred Experience in Training and mentoring new joiners Expert in Oral & Written communication skills Ability to multi-task and prioritize workload Adaptable to a 24/7 rotational shift model including night shifts Ability to adapt to continuously changing procedures and environment Strong Customer handling experience required Responsibilities What will make you successful Application Layer Monitoring on Cloud Monitor infrastructure including (Servers, Applications & Services) and report them to appropriate teams. Documentation, recording and updating incident details in ITSM tool. Develop & Execute training plans for continuous improvement Identify process gaps & remediate accordingly Quality audits/assurance & implementation Spearhead timely resolution of Critical Incidents & Problems Responsible for maintaining NOC & administrative related reports. Ensure maximum possible service availability and performance. Manage escalations within SLAs defined in the team’s standard operating procedures. Coordination with stakeholders and third-party vendors. Support and Classification, making an initial assessment into the nature of the incident, assessing the severity, impact and risk. Allocation of unresolved Incidents to appropriate support groups Monitoring & Tracking, reviewing the progress of an incident and keeping the user informed Manage request / incident assigned by managers Hyland’s Offering We’re proud of our culture and take employee engagement seriously. By listening to employees’ feedback, we’re able to provide meaningful benefits and programs to our workforce. Learning & Development - development budget (used for certifications, conferences etc..), tuition assistance program, 4,000+ self-paced online courses, instructor-led webinars, mentorship programs, structured on-boarding experience full of trainings, dedicated Learning & Development department supporting our employees. R&D focus – cutting edge technologies, constant modernization efforts, dynamic and innovative environment, dedicated R&D Education Services department to help you grow. Work-life balance culture – flexible work environment and working hours (we are working in task-based system!), possibility to work from home, we value trust, and we believe efficiency does not depend on your actual location, however we would like to spend time together in the office! Well-being - private medical healthcare, life insurance, gym reimbursement, constant wellbeing programs Community Engagement – Volunteer time off (12h/year). Diversity & Inclusion – employee resource groups, inclusion benefits and policies Niceties & Events – snacks and beverages, employee referral program, birthday, baby gifts, and employee programs If you would like to join the company where honesty, integrity and fairness lie in the bottom of values, where people are truly passionate about technology and dedicated to their work – connect with us! We are committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, marital status, gender identity or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances. The information collected by this application is solely to determine suitability for employment, verify identity and maintain employment statistics on applicants.

Job Title: Data Scientist Position Summary: - As a Data Scientist at FSL, you will leverage your expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing and Generative AI to develop innovative data-driven solutions and applications. You will play a key role in designing and deploying dynamic models and applications using modern web frameworks like Flask and FastAPI, ensuring efficient deployment and ongoing monitoring of these systems. Key Responsibilities: - Model Development and Application: Design and implement advanced ML and DL models. Develop web applications for model deployment using Flask and FastAPI to enable real-time data processing and user interaction. - Data Analysis: Perform exploratory data analysis to understand underlying patterns, correlations and trends. Develop comprehensive data processing pipelines to prepare large datasets for analysis and modeling. - Generative AI: Employ Generative AI techniques to create new data points, enhance content generation and innovate within the field of synthetic data production. - Collaborative Development: Work with cross-functional teams to integrate AI capabilities into products and systems. Ensure that all AI solutions are aligned with business goals and user needs. - Research and Innovation: Stay updated with the latest developments in AI, ML, DL, CV and NLP. Explore new technologies and methodologies that can impact our products and services positively. - Communication: Effectively communicate complex quantitative analysis in a clear, precise and actionable manner to senior management and other departments. Required Skills and Qualifications: - Education: BE or Master’s or PhD in Computer Science, Data Science, Statistics or a related field. - Experience: 3+ years of relevant experience in a data science role with a strong focus on ML, DL and statistical modeling. - Technical Skills: Strong coding skills in Python, including experience with Flask or FastAPI. Proficiency in ML, DL frameworks (e.g., PyTorch, TensorFlow), CV (e.g., OpenCV) and NLP libraries (e.g., NLTK, spaCy). - Generative AI: Experience with generative models such as GANs, VAEs or Transformers. - Deployment Skills: Experience with Docker, Kubernetes and continuous integration/continuous deployment (CI/CD) pipelines. - Strong Analytical Skills: Ability to translate complex data into actionable insights. - Communication: Excellent written and verbal communication skills. - Certifications: Certifications in Data Science, ML or AI from recognized institutions is added advantage. Location: Hyderabad, Mumbai, Bangalore and Chennai

Overview Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor’s “Best Places to Work” Seeking an astute individual that has a strong technical foundation with the additional ability to be hands-on with the broader engineering team as part of the development/deployment cycle, and deep knowledge of industry best practices, with the ability to implement them working with both the platform, and the product teams. The Platform Data Science and Machine Learning team works closely with sales, product and engineering teams to design and implement the next generation of retail solutions. Data Science team members bear the heavy burden of turning both small, sparse and massive data into actionable insights with measurable improvements to the customer bottom line. They use rigorous analysis and repeatable processes to implement both black box and interpretable models. The Data Science team uses MLOps to operationalize the machine learning pipeline. Scope Lead the data science workstream within implementation projects of our newly launched products and ML solutions at first customers in cooperation with Product Management and field teams Perform data analysis to discover patterns, trends and anomalies in customer data, translate the results into actionable insights, and present results and recommendations to support customers in improving their data quality. Configure and tune statistical algorithms such as time series and Machine Learning models from open source as well as BY’s libraries to support overall project objectives and achieve highest possible quality outcome Design and build tools and code templates to improve and/or speed up the data science workflow in customer projects to enable scale, leveraging new technologies such as GenAI Work with BY’s Data Scientists, Product Developers, Product Managers and other members of the Blue Yonder team to understand customer-specific requirements and data science related issues and translate them into model enhancement feature requests and tuning options Collaborate with Data Scientists, Solution Architects and Software Engineers to design and develop tools for the scalable use of AI solutions in supply chain Write clean, well-structured, documented and efficient (maintainable) code that adheres to software development best practices Create templates, artifacts, documentation, and training material for the larger data science community, customers and partners towards reusability and automation Actively and responsively collaborate with the field teams and customers to drive adoption of our new products and services Communicate and/or support the business cases to PMG and PD regarding specific trends for future product functionality and enhancements Mentor data science consultants in your own team and/or the wider BY team Keep up with industry trends in data science practice and continuously improve the team’s tools and methodologies Our Current Technical Environment Software: Python 3*, NumPy, SciPy, scikit-learn, SparkML, pandas, Jupyter Notebook, Matplotlib, Azure ML Application Architecture: Scalable, Resilient, Reactive, event driven, secure multi-tenant Microservices architecture Cloud: MS Azure Frameworks/Others: Snowflake, Kubernetes, Dataflow, Kubeflow, Keras, TensorFlow, PyTorch, FastAPI What We Are Looking For Graduate degree in computer science, statistics, or a related quantitative field, is required. PhD is a plus. 3+ years of demonstrated hands-on experience of script programming languages, preferably Python, with the typical PyData libraries like pandas, scikit-learn, TensorFlow, or pytorch, for data analytics and machine learning applications 5+ years of experience in software development and/or development of applications in the field of Machine Learning, statistical problem solving, data visualisation or similar Passion for and advanced knowledge of machine learning and statistical problem solving Demonstrated experience in building end-to-end data pipelines Demonstrated experience in building and maintaining the code base with git Demonstrated experience in bringing ML models into production is preferred High interest and/or experience in GenAI technologies is preferred Ability to translate complex data into business insights and opportunities to create value Ability to communicate analytic insights and recommendations to customers without a deep knowledge of statistics by relating data stories to business situations and processes Ability to create dashboards, visualizations, and reports to communicate statistical findings Familiarity with business processes for retail, pricing, and supply chain management is preferred Demonstrated experience with working with big data and parallel computing Ready to travel to customer sites based on business needs, and flexible to work with overlapping time zones German language skills on top of fluent English will be a plus. Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Business Analyst (Entry Level) Location: Hyderabad (On-Site) About Acuitas360 At Acuitas360, we are a specialized life sciences consulting firm passionate about advancing patient outcomes through innovative use of data and insights. Our Insights & Analytics team partners with leading pharmaceutical and biotech organizations to address complex commercial and clinical challenges by leveraging real-world evidence, predictive modeling, and deep domain expertise. We foster a culture of ownership, continuous learning, and innovation—empowering consultants to shape how healthcare data drives smarter business decisions and better patient care. The Role We are seeking a Business Analyst for entry level candidates to contribute to high-impact projects across the life sciences sector. This role requires strong problem-solving ability, intellectual curiosity, and the drive to transform data into actionable insights that support strategic client decisions. You will work closely with senior consultants and clients, taking ownership of project deliverables, applying advanced data techniques, and presenting findings that directly influence commercial and clinical strategies. Key Responsibilities Take full ownership of assigned deliverables, ensuring accuracy, quality, and timeliness Evaluate the effectiveness of clients’ sales and marketing initiatives, modeling their impact on business outcomes and patient reach. Develop data-driven optimization plans that guide strategic decision-making and enhance business performance. Translate complex data findings into clear, actionable insights and present them effectively to stakeholders. Continuously expand technical and domain knowledge to apply best-fit methods and generate meaningful insights from client data. What You Bring Technical Skills: Proficiency in SQL; working knowledge of R, Python, or SAS for data analysis and statistical modeling. Education: MBA, MSc, or equivalent; background in Engineering, Life Sciences, Pharmacy, Statistics, or other quantitative disciplines. Mindset & Attributes: Strong problem-solving and structured thinking ability. Intellectual curiosity and a passion for improving patient outcomes through evidence-based decision-making. High attention to detail, quality-driven approach, and client-service orientation. Proactive, self-motivated, and comfortable taking ownership of outcomes. Excellent communication and presentation skills with the ability to build trusted relationships. Consistent track record of academic and professional excellence. Why Join Us? At Acuitas360, you will: Work on projects that shape critical decisions in healthcare and life sciences. Learn and grow in a collaborative environment that values innovation and thought leadership. Make a real-world impact by enabling better decisions that improve patient outcomes.

About HaaNaa HaaNaa is a skill-based opinion trading platform that simplifies decision-making with its Yes/No-based trading model. Focused on user experience, HaaNaa enables participants to predict outcomes across diverse categories like sports, entertainment, and finance, fostering informed decision-making in a dynamic and secure marketplace. Role Overview We are looking for a Sports Event Creation Intern who is passionate about Cricket, Football, and other major sports. Your role will involve designing and curating engaging trading events based on real-world matches, ensuring they are exciting and easy to understand for our users. Duration : 2 months Key Responsibilities Research and list upcoming Cricket, Football, and other major sports events to create engaging market questions. Develop clear, simple, and exciting trading events, such as: "Will Bangalore win against Gujarat?" "Will Rohit Sharma score 25 or more runs against Chennai?" Stay updated with match schedules, player form, and team news to ensure timely and relevant event creation. Ensure event phrasing is engaging, user-friendly, and easy to understand. Track event performance with the team and optimize questions based on user engagement and trading activity. Analyze sports trends to introduce fresh and innovative event ideas for increased participation. Who Should Apply? Passionate about sports, especially Cricket and Football. Strong analytical and research skills to identify key match insights. Creative thinker with the ability to formulate engaging and interactive event questions. Up to date with the latest sports news, team performances, and player statistics. Understanding of fantasy gaming, market-based predictions, or online sports engagement platforms is a plus. Why Join HaaNaa? Be part of an exciting and fast-growing opinion trading fantasy gaming startup. Work in a dynamic, sports-focused environment. Gain hands-on experience in sports event creation and engagement strategies. Opportunity to turn your passion for sports into a real-world impact. Are you ready to create thrilling sports trading events? Apply now and be a part of the HaaNaa journey! Skills: sports,events,gaming,research,trading,cricket,football,analysis,english,hindi,engagement platforms

Job Title: Data Analyst Intern (Paid) Company: Enerzcloud Solutions Location: Remote Duration: 3 Months Opportunity: Full-time role based on performance + Internship Certificate About Enerzcloud Solutions Enerzcloud Solutions provides students and graduates with hands-on experience in data analysis, helping them develop the skills needed to extract, interpret, and present insights from complex datasets. Our team focuses on real-world projects while mentoring interns to become industry-ready professionals. Responsibilities Collect, process, and analyze data from multiple sources Generate actionable insights to support business decisions Create visualizations and reports using tools like Excel, Tableau, or Power BI Maintain data accuracy and integrity Collaborate with team members to solve analytical problems Requirements Enrolled in or a recent graduate of a relevant program (Statistics, Mathematics, Data Science, Economics, or related fields) Skilled in Excel, SQL, and data visualization tools Familiarity with Python, R, or other analytics tools (preferred) Strong analytical thinking, problem-solving, and communication skills Stipend & Benefits Stipend: ₹17,000 – ₹18,000 (Paid) Real-world data analysis experience Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio with impactful projects

Role Overview: We are seeking researchers with strong mathematical and analytical backgrounds to assist in fine-tuning and evaluating large language models (LLMs). Your work will help LLMs improve their ability to understand and solve complex math problems, such as multi-step algebra or logic questions. Research Objectives As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks: Determine the number of real 5×55 \times 55×5 symmetric matrices of rank 2 whose entries are only 0 or 1. How many subsets of a 10-element set exist such that the characteristic vector of each subset has Hamming weight exactly 3? How many distinct 10-digit numbers exist where the sum of the digits is divisible by 3, and each digit is either 0 or 1? These tasks are designed to find model weaknesses and improve training and evaluation workflows. Candidate Profile Academic Background: Enrolled in or completed a PhD/Postdoc in Mathematics, Applied Mathematics, Statistics, or a related field. Analytical Skills: Strong ability to solve advanced math problems with clear and structured reasoning. Communication Skills: Clarity in explaining complex topics and providing feedback with precision. Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions.. Technical Setup : Access to a reliable computer and internet setup to participate in remote assignments. Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required : at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Work on research that directly impacts the future of language model performance in mathematics and STEM. Collaborate with a global network of experts shaping next-generation AI benchmarks. Gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.

About The Role Grade Level (for internal use): 08 The Team: You will become a member of the Data Solutions group. We provide solutions to all stakeholders across multiple products. Our key clients are the Tier-1 Custodians, Asset Managers and Investment Banks. We see growth in providing solutions to asset managers, wealth managers and other stake holders in the capital markets space. The Impact: You will be part of a team that develops innovative solutions, derives actionable insights from data, which helps drive the client engagement and business. The candidate would be a critical part of data science and automation projects which will add value and propel the analysis and research of this critical team. The solutions you will work on will enhance the existing products and provide actionable intelligence to our clients. What’s In It For You Exposure to latest technologies in the space of data analytics & science, Gen AI. Develop data and analytical skills. Opportunities to work on cross-team initiatives and collaborative projects. What You Will Work On Automate processes and workflows using Python Project manage AI and data science initiatives Provide support in AI governance & documentation Derive value and insights from large datasets to enable business decisions and strategy. Collaborate with cross-functional teams to integrate NLP/LLM solutions into existing products. Handle large amounts of data from multiple and disparate sources. Analyze the data and the results to ensure data quality, statistical relevance, etc. with a critical mindset. Establish necessary business and domain knowledge to correctly interpret data and results. Bring analytical rigor and statistical methods to the challenges of measuring data quality, product performance, anticipating and interpreting the behavior of end-user. Who You Are Hands on project lifecycle experience, from business analysis to productization Ability to handle and pivot AI projects from incubation till final implementation Strong programming skills in Python including experience with data extraction, transformation and relevant libraries Proven experience in developing NLP/NLG models Experience working with large language models (LLMs) like GPT, BERT etc Familiarity with cloud platforms (like AWS) for model deployment and scaling Experience with data extraction with SQL etc. Able to translate business problems into problems that can be solved with Data Science Ability to communicate ideas and analysis results effectively both verbally and in writing to a non-technical audience. Bachelor of Science or certified in a quantitative discipline (e.g., Computer Science, Data Science, Statistics, etc.) 4-5 years of professional experience in Advanced Analytics / Data Science / Machine Learning preferably in Finance and/or Reference Data space. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH203 - Entry Professional (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 318379 Posted On: 2025-08-19 Location: Gurgaon, Haryana, India

Role Overview: We are seeking researchers with strong mathematical and analytical backgrounds to assist in fine-tuning and evaluating large language models (LLMs). Your work will help LLMs improve their ability to understand and solve complex math problems, such as multi-step algebra or logic questions. Research Objectives As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks: Determine the number of real 5×55 \times 55×5 symmetric matrices of rank 2 whose entries are only 0 or 1. How many subsets of a 10-element set exist such that the characteristic vector of each subset has Hamming weight exactly 3? How many distinct 10-digit numbers exist where the sum of the digits is divisible by 3, and each digit is either 0 or 1? These tasks are designed to find model weaknesses and improve training and evaluation workflows. Candidate Profile Academic Background: Enrolled in or completed a PhD/Postdoc in Mathematics, Applied Mathematics, Statistics, or a related field. Analytical Skills: Strong ability to solve advanced math problems with clear and structured reasoning. Communication Skills: Clarity in explaining complex topics and providing feedback with precision. Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions.. Technical Setup : Access to a reliable computer and internet setup to participate in remote assignments. Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required : at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Work on research that directly impacts the future of language model performance in mathematics and STEM. Collaborate with a global network of experts shaping next-generation AI benchmarks. Gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.

Role Overview: We are seeking researchers with strong mathematical and analytical backgrounds to assist in fine-tuning and evaluating large language models (LLMs). Your work will help LLMs improve their ability to understand and solve complex math problems, such as multi-step algebra or logic questions. Research Objectives As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks: Determine the number of real 5×55 \times 55×5 symmetric matrices of rank 2 whose entries are only 0 or 1. How many subsets of a 10-element set exist such that the characteristic vector of each subset has Hamming weight exactly 3? How many distinct 10-digit numbers exist where the sum of the digits is divisible by 3, and each digit is either 0 or 1? These tasks are designed to find model weaknesses and improve training and evaluation workflows. Candidate Profile Academic Background: Enrolled in or completed a PhD/Postdoc in Mathematics, Applied Mathematics, Statistics, or a related field. Analytical Skills: Strong ability to solve advanced math problems with clear and structured reasoning. Communication Skills: Clarity in explaining complex topics and providing feedback with precision. Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions.. Technical Setup : Access to a reliable computer and internet setup to participate in remote assignments. Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required : at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Work on research that directly impacts the future of language model performance in mathematics and STEM. Collaborate with a global network of experts shaping next-generation AI benchmarks. Gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.

Role Overview: We are seeking researchers with strong mathematical and analytical backgrounds to assist in fine-tuning and evaluating large language models (LLMs). Your work will help LLMs improve their ability to understand and solve complex math problems, such as multi-step algebra or logic questions. Research Objectives As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks: Determine the number of real 5×55 \times 55×5 symmetric matrices of rank 2 whose entries are only 0 or 1. How many subsets of a 10-element set exist such that the characteristic vector of each subset has Hamming weight exactly 3? How many distinct 10-digit numbers exist where the sum of the digits is divisible by 3, and each digit is either 0 or 1? These tasks are designed to find model weaknesses and improve training and evaluation workflows. Candidate Profile Academic Background: Enrolled in or completed a PhD/Postdoc in Mathematics, Applied Mathematics, Statistics, or a related field. Analytical Skills: Strong ability to solve advanced math problems with clear and structured reasoning. Communication Skills: Clarity in explaining complex topics and providing feedback with precision. Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions.. Technical Setup : Access to a reliable computer and internet setup to participate in remote assignments. Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required : at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Work on research that directly impacts the future of language model performance in mathematics and STEM. Collaborate with a global network of experts shaping next-generation AI benchmarks. Gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.

Position Summary The Senior Change Order analyst will lead change order activities between Project Management, Functional Leads, and the Project Financial Analysts in order to develop, explain, and provide variance analysis for the change orders in preparation for presentation to the client. The incumbent will contribute to the tracking and record keeping of Change Order requests to develop departmental metrics, and lead and/or actively participate in internal and client calls on a routine basis. Essential functions of the job include but are not limited to: Work collaboratively with Project Management, Financial Analysts, Functional Leads, and other contributing parties to produce a high-quality change order which is meaningful, accurate, and in accordance with the changes in assumptions on a timely basis. Provide review of changes in assumptions to the budget to work with the extended project team to identify information gaps and/or discrepancies, unique service requirements to translate information into budgets. Actively communicate with the Project Team and other Key Stakeholders both within and outside the organization to support the timely and accurate delivery of change orders Prepare, edit and customize change order text to accurately reflect the strategic, message, changes in assumptions, budget summaries, changes in resourcing, and additional financial Incorporate vendor and partner change orders into the main change order as applicable while ensuring accuracy and completeness. Ensure all information is accurate and clearly stated including statistics, assumptions, processes described changes from prior executed agreements inclusive of resourcing updates, timeline shifts, country/site/patient changes. Meticulous attention to the use of financial formulas to ensure an accurate change order which includes, but not limited to cross checks, formula review, reasonable testing, etc. Assists in the maintenance of departmental tracking to not only support the departmental metric reporting, but also to prepare the Change Order Team for routine Managerial Change Order Meetings. Work with the Senior Change Order Manager, VP, Business Operations, proposals and other members of the Management Team on an as needed and ad-hoc basis. Qualifications Minimum Required: Bachelor’s degree or equivalent in Finance/Accounting or related business 5 years’ relevant work experience Working knowledge of project budgets, financial analysis, advanced excel skills with a meticulous attention to detail. Competencies Working knowledge of the life cycle of a project with a solid foundation of how the changes in assumptions impact the costings/budget and financial impact at each stage of the clinical Strong Excel / Microsoft Office skills and ability to thrive in a multi-tasking Strong financial skills combined with an attention to and appreciation to High energy and enthusiasm with a strong commitment to exceeding Flexibility and willingness to work on multiple assignments of varying tasks with personnel throughout the organization. Ability to learn Good oral and written communication & interpersonal skills with the ability to connect and build relationships with management and others throughout the organization. Exhibits self-motivation and is able to work and plan independently as well as in a team. Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? Within Actimize, the AI and Analytics Team is developing the next generation advanced analytical cloud platform that will harness the power of data to provide maximum accuracy for our clients’ Financial Crime programs. As part of the PaaS/SaaS development group, you will be responsible for developing this platform for Actimize cloud-based solutions and to work with cutting edge cloud technologies. How will you make an impact? NICE Actimize is the largest and broadest provider of financial crime, risk and compliance solutions for regional and global financial institutions & has been consistently ranked as number one in the space At NICE Actimize, we recognize that every employee’s contributions are integral to our company’s growth and success. To find and acquire the best and brightest talent around the globe, we offer a challenging work environment, competitive compensation, and benefits, and rewarding career opportunities. Come share, grow and learn with us – you’ll be challenged, you’ll have fun and you’ll be part of a fast growing, highly respected organization. This new SaaS platform will enable our customers (some of the biggest financial institutes around the world) to create solutions on the platform to fight financial crime. Have you got what it takes? Develop and execute advanced analytics projects from end to end, including data collection, preprocessing, model development, evaluation, and deployment. Design and develop predictive and generative models to extract actionable insights from large and complex datasets. Utilize statistical techniques and quantitative analysis to identify trends, patterns, and correlations within the data. Translate business problems into analytical solutions in partnership with Product, Engineering, and domain SMEs. Mentor and upskill junior data scientist, champion best practices in code quality, experimentation, and documentation. Stay abreast of the latest advancements in Data Science, Machine Learning, Generative AI and recommend innovative approaches to solve business challenges. Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; advanced degree (Master's or Ph.D.) preferred. 2- 4 years of hands-on experience in data science and machine learning, with at least 2 years of experience in Generative AI development. Proficiency in programming languages such as Python or R, as well as experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, Hugging Face - Transformers, LangChain etc.). Strong understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, regression, classification, clustering, and deep learning. Strong understanding of LLMs, NLP techniques, and evaluation methods for generative outputs. Solid foundation in prompt engineering for optimizing AI-generated outputs across different tasks and domains. Excellent problem-solving skills and ability to work independently as well as collaboratively in a fast-paced environment. Strong communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences. Proven leadership abilities, with experience in mentoring junior team members and leading cross-functional projects. Preferred Qualifications: Experience working in industries such as finance, banking. Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and related services for building and deploying machine learning models. Knowledge of data visualization tools (e.g., Tableau, Power BI) for creating interactive dashboards and reports. Publications or contributions to the data science community, such as conference presentations, research papers, or open-source projects. Experience in implementing RAG pipelines, combining LLMs with external knowledge bases or vector databases. Hands-on experience with vector databases (e.g. Pinecone) and embedding techniques. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 8296 Reporting into: Tech Manager Role Type: Data Scientist About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

Job Title - Vice President – Data Location: Hybrid – Chennai/Bangalore/Hyderabad/Mumbai/Pune About The Job We are seeking a seasoned and visionary leader to join our executive team as the Vice President – Data . This individual will play a pivotal role in shaping the organization’s data strategy, driving actionable insights, and fostering a culture of data-driven decision-making across all levels of the business. The ideal candidate will combine deep technical expertise with strategic thinking and proven leadership capabilities. What You Do Strategic Leadership: Define and execute the enterprise-wide data analytics strategy aligned with business goals and innovation priorities. Team Development: Build, mentor, and lead a high-performance analytics team including data scientists, analysts, and BI developers. Data-Driven Transformation: Drive the organization's transition to a data-first culture by embedding analytics into key decision-making processes. Stakeholder Engagement: Collaborate closely with senior leaders, product owners, and operations teams to identify analytical needs and deliver high-impact solutions. Advanced Analytics and Innovation: Oversee the design and deployment of machine learning models, predictive analytics, and data visualization frameworks that generate business insights. Governance and Data Quality: Partner with Data Engineering and IT to ensure the availability, accuracy, and integrity of enterprise data assets. Analytics Enablement: Champion self-service analytics and democratization of data through tools, training, and platforms. Industry Intelligence: Stay on the forefront of emerging trends, technologies, and best practices in data science, artificial intelligence, and data governance. Who You Are Education & Experience Bachelor’s or master’s degree in data science, Computer Science, Statistics, Business Analytics, or a related field Minimum 15-20 yearsof experience in data analytics or data science, with at least 5+ years in a senior leadership role driving enterprise-level analytics initiatives. Strong technical proficiency in SQL, Python, and familiarity with big data platforms Expertise in machine learning, AI, statistical modeling, and predictive analytics. Proven success in leading cross-functional teams, managing complex projects, and influencing C-suite executives. Excellent communication and storytelling skills with the ability to translate complex data insights into clear business value. Experience with modern BI tools such as Tableau, Power BI, Looker, or similar platforms. Soft Skills: Commitment to learn and deliver. Good communication skills (Written and Oral). Willingness to learn, train, and mentor subordinates. English Language proficiency is required to effectively communicate in a professional environment. Strong problem-solving skills and a creative mindset bring fresh ideas to the table. Should demonstrate confidence and self-assurance in their skills and expertise, enabling them to contribute to team success and engage with colleagues and clients in a positive, assured manner. Should be accountable and responsible for deliverables and outcomes. Should demonstrate ownership of tasks, meet deadlines, and ensure high-quality results. Demonstrates strong collaboration skills by working effectively with cross-functional teams, sharing insights, and contributing to shared goals and solutions. Continuously explore emerging trends, technologies, and industry best practices to drive innovation and maintain a competitive edge.

Required Skills & Qualifications Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Strong knowledge of Python / R / SQL . Hands-on experience with machine learning libraries (Scikit-learn, TensorFlow, PyTorch, etc.). Strong statistical and analytical skills with experience in hypothesis testing, regression, and clustering. Familiarity with data visualization tools (Power BI, Tableau, or Matplotlib/Seaborn). Knowledge of big data frameworks (Hadoop, Spark) is an added advantage. Strong problem-solving skills and ability to interpret complex data. Preferred Skills (Good to Have) Experience with cloud platforms (AWS, GCP, Azure). Knowledge of NLP, deep learning, and recommendation systems . Prior experience in handling large-scale data sets. What We Offer Opportunity to work on impactful projects in a data-driven environment. A collaborative, innovative, and growth-oriented workplace. Professional development opportunities and skill enhancement programs.

Job Summary We are seeking a highly skilled Data Scientist with 6 to 12 years of experience to join our team. The ideal candidate will have expertise in Statistics Azure Open AI Service EDA Airflow Knowledge Graph ML Ops Machine Learning Cloud AutoML Dialogflow OpenCV Artificial Intelligence Natural Language Processing Deep Learning PyTorch AI enabled chatbot Tensorflow R Statistical Package Python and Search Engine Optimization. Responsibilities Lead the development and implementation of machine learning models to solve complex business problems Oversee the application of statistical techniques to analyze large datasets and extract meaningful insights Provide expertise in Azure Open AI Service to enhance AI capabilities within the organization Conduct exploratory data analysis (EDA) to identify trends patterns and anomalies in data Utilize Airflow to manage and automate data workflows and pipelines Implement knowledge graphs to improve data relationships and insights Apply ML Ops practices to streamline the deployment and monitoring of machine learning models Develop and optimize machine learning algorithms using Cloud AutoML and other tools Integrate Dialogflow to create and manage AI-enabled chatbots for customer interaction Utilize OpenCV for computer vision tasks and image processing Apply artificial intelligence and natural language processing techniques to enhance data analysis Implement deep learning models using PyTorch and Tensorflow for advanced data analysis Use R Statistical Package and Python for data manipulation analysis and visualization Optimize search engine performance through effective SEO strategies Collaborate with cross-functional teams to ensure alignment of data science projects with business objectives Communicate findings and recommendations to stakeholders in a clear and concise manner Stay updated with the latest advancements in data science and machine learning technologies Qualifications Must have strong experience in Statistics and Azure Open AI Service Must be proficient in EDA Airflow and Knowledge Graph Must have expertise in ML Ops Machine Learning and Cloud AutoML Must be skilled in Dialogflow OpenCV and Artificial Intelligence Must have experience in Natural Language Processing and Deep Learning Must be proficient in PyTorch AI enabled chatbot and Tensorflow Must have strong knowledge of R Statistical Package and Python Must have experience in Search Engine Optimization Nice to have experience in other data science and machine learning tools and technologies Must have excellent communication and collaboration skills