1151 Statistical Modeling Jobs - Page 24

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

We are looking for a skilled Modeling Analytics Specialist to join our dynamic team. In this role, you will be responsible for leveraging advanced statistical and machine learning models to analyze complex data sets. Your insights and recommendations will drive strategic decision-making and optimize business processes. The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Roles and responsibilities: Develop and implement predictive models, segmentation analysis, and statistical analyses to extract insights from large datasets. Apply machine learning algorithms to solve business problems and improve operational efficiency. Collaborate with cross-functional teams to identify business requirements and translate them into analytical solutions. Utilize tools such as [list specific tools, e.g., Python, R] for data manipulation, modeling, and visualization. Create and automate reports and dashboards to present findings and actionable recommendations to stakeholders. Conduct deep dives into data to identify trends, patterns, and anomalies that can inform strategic initiatives. Ensure data accuracy and integrity by validating data sources and implementing quality assurance measures. Stay updated on industry trends and best practices in modeling, analytics, and data science. Technical and Functional Skills: Bachelors degree in Statistics, Mathematics, Computer Science, or a related field (preferred) with 7+ years of proven experience in statistical modeling, machine learning, and data analysis. Proficiency in programming languages such as [specific tools you use, e.g., Python, R]. Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights and findings. Strong analytical and problem-solving skills with the ability to interpret complex data sets. Excellent communication and collaboration skills to work effectively with diverse teams.

The leader must demonstrate an ability to anticipate, understand, and act on evolving customer needs, both stated and unstated. Through this, he/she must create a customer-centric organization and use innovative thinking frameworks to foster value-added relations. With the right balance of bold initiatives, continuous improvement, and governance, the leader must adhere to the delivery standards set by the client and eClerx by leveraging the knowledge of market drivers and competition to effectively anticipate trends and opportunities. Besides, the leader must demonstrate a capacity to transform, align, energize organization resources, and take appropriate risks to lead the organization in a new direction. As a leader, the candidate must build engaged and high-impact direct, virtual, and cross-functional teams, and take the lead towards raising the performance bar, build capability and bring out the best in their teams. By collaborating and forging partnerships both within and outside the functional area, the leader must work towards a shared vision and achieve positive business outcomes. Associate Program Manager Roles and responsibilities: Lead and provide strategic direction to teams, ensuring alignment with clients business objectives Actively collaborate with the Marketing, Marketing Operations, Marketing Technology, Risk & Controls, and Automation teams to consult and facilitate the seamless execution of marketing campaigns and initiatives Collaborate with client stakeholders to shape and execute the target operating model for data operations, data engineering, and insights teams Drive revenue growth by understanding client needs, proposing innovative commercial constructs, and capitalising on upsell & cross-sell opportunities Accountable for ensuring we are recruiting a highly skilled workforce of data engineers, data analysts and data scientists to support RTB and CTB initiatives of the Client Work closely with sales and consulting teams to expand current business and explore new transformation-led opportunities Stay updated with industry trends, and champion the adoption of cutting-edge tools, methodologies, and technologies Take ownership of team deliverables, ensuring quality checks, best practices and desired outcomes are achieved on the first attempt. Understand project requirements and equip team members with the necessary skills and training. Technical and Functional Skills: Masters / Bachelors degree in Management / Engineering / Mathematics / Statistics or any related quantitative discipline The ideal candidate must have a minimum of 8+ years of experience in Data Management, Analytics, or Decision Science, including P&L Management responsibilities Experience working in services/consulting space, building and leading large analytics business and demonstrated success in delivering to clients across industries and domains preferably Banking and Financial Services Proven track record of building and leading high growth teams; demonstrated experience in hiring, retaining, and scaling geographically dispersed, high-performing teams Experience in collaborating, communicating, and influencing different stakeholders to drive inclusion, efficiency, and creative solutions

Immediate Openings on Data Scientist _India Experience : 5 + Skill:- Data Scientist Location : India Notice Period :- Immediate . Employment Type: Contract . Job Description: Strong problem-solving skills with an emphasis on product development. Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. Were looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Masters in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools: Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Experience using web services: Redshift, S3, Spark, etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Experience analyzing data from 3rd party providers: Google Analytics, Crimson Hexagon, Facebook Insights, etc. Experience visualizing/presenting data for stakeholders using different tools. Working knowledge of message queuing (Kafka or Google Pub/Sub), stream processing, and highly scalable data stores.

Responsibilities Should act as a business analyst with technical expertise who is the main contact from business users including Financial Risk I.e. Credit, Market etc. Elicit the functional and non-functional requirements from the business stake holder the and manage those requirements through development, test, UAT and post-implementation support, including maintaining traceability to high level requirements and business processes. Good understanding of Risk application and should also have understanding of business flow within other upstream or downstream application. Should have working knowledge on any risk applications like SaS Should be able to understand and remediate any gaps in application and if required should be able to independently lead the discussions with business teams. Engage with business users to understand their requirements or should be able to translate the functional requirements into Technical Design Document. Supporting the preparation of training material and supporting users through user acceptance testing. Implement and follow best industry practices ensuring that designs/solutions are both efficient and sustainable Must have Experience Minimum 10-15 years of experience in banking and/or financial services IT Knowledge and experience in the area of risk modelling Participated in the implementation of sophisticated financial/risk models in live operating environments Experienced in designing and delivering complex solution for Banks and financial institutions Excellent stakeholder management skills Experience with lending, credit, and/or special asset risk management Experience with business analysis methodologies and applicable IT architectures; Should have strong communication and presentation skills. Flexible and constructively critical attitude, strong analytic mind-set, result oriented Experience in agile environment Knowledge of developing and designing analytical solutions and models in Base SAS, Advance SAS, SAS/SQL will be a plus.

MSCI is looking for a Data Scientist to join our Datadesk team in Hyderabad, Telangana, India . Datadesk is the go-to team for all data requirements and new vendor data on-boardings across MSCI's business units. As part of this centralized team, you'll be proficient in handling a diverse range of datasets, including Equity, Fixed Income, Crypto, Pharma, Thematic, ESG, and Private. We also manage the askData service, participate in the integration of recently acquired companies, and are early adopters of new technologies like AI, Cloud, and DSP. Your Key Responsibilities Utilize Python and frameworks like pandas, numpy, and dask to process, aggregate, and manipulate large financial datasets. Apply statistical modeling and AI techniques to improve data processing, forecasting, and decision-making. Identify opportunities for AI adoption in data processing, analytics, and decision-making. Ensure data quality, integrity, and consistency across different sources. Create presentations and reports that effectively communicate data findings to stakeholders. Take ownership of assigned tasks with minimal supervision, ensuring timely and high-quality deliverables. Your Skills and Experience That Will Help You Excel Degree in Computer Science, Statistics, Information Technology, and/or Finance . Proficiency in Python and its various frameworks like pandas, numpy, and dask . Good knowledge in statistics as well as statistical modeling for aggregating big datasets, resampling data, and explaining data. Data Visualization Frameworks like Power BI, Streamlit, or any other Python Frontend framework is a plus. Strong interest in Finance with work experience in finance and/or capital markets . Experience dealing with providers of financial data products (MSCI, Refinitiv, ICE, S&P, Factset etc.) preferred. Good communication skills (written and oral) and proficiency in creating presentations. You are an independent worker who can drive certain parts of the work with minimal oversight.

Immediate Openings on Data scientist _ Bangalore_ Contract Experience 7+ Years Skill Data scientist Notice Period Immediate Employment Type Contract Work Mode WFO/Hybrid Classic time series analysis tools Machine learning models Python R coding SQL coding

Description We are seeking an experienced Data Operator to join our team in India. The successful candidate will be responsible for managing and maintaining data, ensuring its accuracy and availability for various business needs. This role requires strong attention to detail and a commitment to maintaining high standards in data management. Responsibilities Enter and maintain data in databases and systems accurately and efficiently. Verify and validate data for accuracy and completeness. Generate reports and summaries based on data analysis. Assist in data cleaning and preparation for analysis. Collaborate with other departments to ensure data integrity and consistency. Skills and Qualifications Proficient in Microsoft Excel and data entry software. Strong attention to detail and accuracy. Good analytical and problem-solving skills. Familiarity with database management systems (e.g., SQL, Oracle). Basic knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus. Excellent communication skills, both verbal and written. Ability to work independently and as part of a team.

Urgent Hiring in Genpact for the role of Data Scientist Permanent Role Shift Timing- 9 AM to 7 PM IST Location: Genpact Kolkata Office Responsibilities: Running statistical forecasting model to predict long and short term metrices. Conduct thorough business analysis to identify opportunities for process improvement and system enhancements. Creating digital POCs and Gen AI solutions for the organization. Act as a liaison between technical and non-technical stakeholders, translating business needs into technical specifications. Ensure compliance with design standards, best practices, and industry trends. Requirements: Proficient in Advanced Excel with expertise in VBA Macros. Should have sound knowledge in any one of the visualization tools (Tableau or PowerBI). Should have expert knowledge on SQL/R/Python on data mining, data analysis and can build predictive and forecasting models. Expert on using data to build AI/ML statistical models and solutions. Should have basic functional knowledge of ChatGPT or any other industry relevant Gen-AI tools. Should be proficient in using Microsoft Office tools, mainly MS-Power Point. Strong client facing communication skills. Ability to adapt to evolving technologies and industry trends. Good to have knowledge on Aviation Industry on Aircraft Engine supplier space. Qualifications Minimum qualifications Masters degree in economics/MBA/statistics. Minimum of 2 to 4 years of relevant working experience in data science domain.

Develops AI-driven solutions using NLP and generative AI techniques, enhancing automation and language processing.

Analyze large datasets and develop machine learning models to derive actionable insights for businesses. Focus on using statistical techniques, data visualization, and predictive analytics to optimize decision-making.

Job Title: Head of Analytics & Data Science BPM(Multi-Vertical) Location: India Gurgaon Department: Analytics Reports to: Chief Capability Leader Experience Required : 16+ years (with at least 5 years in senior analytics and data science leadership across multiple industries) Education : Masters or Bachelor's in Data Science, Statistics, Engineering, Business, or related field Job Summary : The Head of Analytics & Data Science will lead the end-to-end data and analytics strategy across multiple BPM industry verticals, delivering actionable insights, digital transformation, and measurable business impact to internal stakeholders and global clients. T his role demands deep expertise in analytics and advanced data science , combined with strong domain knowledge across Shipping & Logistics, Telecom, Insurance, Energy & Utilities, Retail & Diversified, Banking & Financial Services (BFS), Healthcare & Life Sciences, Automotive, and Travel & Leisure. The ideal candidate will drive analytics and data science maturity, scalable delivery models, and innovation through AI/ML, automation, and applied data intelligence . Key Responsibilities : 1. Strategic Analytics & Data Science Leadership Define and execute a unified analytics and data science roadmap aligned with the organizations digital and business transformation goals across all verticals. Champion the integration of advanced data science techniques (predictive modelling, optimization, machine learning) into core business functions. Collaborate with business leaders to embed data-driven decision-making i nto strategic and operational processes. 2. Client-Facing Solutioning & Delivery Serve as the senior advisor to clients, leading discovery sessions, solution design, and execution of advanced data science and analytics programs. Design customized , vertical-specific analytics and AI/ML solutions: Shipping & Logistics : Route optimization, warehouse analytics, predictive delivery Telecom : Churn prediction, usage pattern modelling, customer lifetime value Insurance : Fraud detection, risk scoring, claims analytics Energy & Utilities : Load forecasting, asset health modelling Retail & Diversified : Customer 360, pricing optimization, market basket analysis BFS : Risk modelling, credit scoring, anti-money laundering (AML) analytics Healthcare & Life Sciences : Patient outcome prediction, RWE analytics, care pathway modelling Automotive : Predictive maintenance, quality analytics, connected vehicle data modelling Travel & Leisure : Dynamic pricing, demand forecasting, personalization and loyalty analytics 3. Operational Analytics & Governance Establish and enforce best practices in data science model lifecycle management, data governance, and analytical operations. Drive efficiency and SLA improvements through continuous monitoring, dashboards, and KPI frameworks. Ensure m odel explainability, compliance (e.g., GDPR, HIPAA), and responsible AI principles in delivery. 4. Team Development & Leadership Build and lead high-performance global teams of data scientists, ML engineers, BI developers, and domain experts. Establish Centers of Excellence (CoEs) for analytics and data science by industry vertical and capability. Foster a c ulture of experimentation, innovation, and continuous learning in AI, ML, and data science. 5. Technology & Innovation Enablement Oversee the adoption of best-in-class platforms and tools: BI : Power BI, Tableau, Qlik Data Science & ML: Python, R, SAS, TensorFlow, Scikit-learn Cloud & Big Data: AWS, Azure, GCP, Spark, Databricks Lead initiatives involving generative AI, NLP, and real-time analytics to improve process automation and customer experience. 6. Data Science Excellence Own the design and scaling of ML pipelines, model ops frameworks, and AI-driven workflows across client programs. Introduce innovation in forecasting, classification, clustering, and optimization models. Build partnerships with academic institutions, AI labs, and vendors to continually enhance the firm’s data science maturity. Key Skills & Competencies : Deep multi-vertical expertise with strong domain understanding across listed industries Expertise in data science, statistical modelling, and ML deployment at scale Strong consultative, problem-solving, and solution architecture capabilities Executive presence and stakeholder management with global clients Proven ability to build analytics and data science teams, COEs, and delivery frameworks Preferred Background Senior leadership experience in analytics and data science within a BPM/KPO/Shared Services/Consulting environment Track record of driving data science-led transformation in client engagements Experience delivering programs for US, UK/EU, and APAC markets Familiarity with regulatory requirements and ethical AI standards across industries

Job Summary We are seeking skilled and motivated Data Scientists with 4+ years of experience in data science with good domain understanding. The ideal candidate will have a strong foundation in data science concepts, proficiency in analytical tools, and the ability to translate data insights into actionable business recommendations. This role requires a blend of technical expertise and business acumen, preferable in financial (credit, risk) fields, to drive data-driven decision making. This will be an individual contributor role or lead for a small team (if relevant experience is present). Qualifications. Education :. Bachelor of Engineering or master's in quantitative areas.. It is mandatory that the ideal candidate should be from tier 1 institutes.. Experience. 4+ years of experience in data science and business analytics projects.. The ideal candidate should exposure in Credit risk analytics.. Proven experience in data handling, analytics with good exposure to statistical analysis and machine learning.. Technical Skills. Expertise in programming languages such as Python and SQL.. Expertise in machine learning algorithms.. Soft Skills. Strong analytical and problem-solving skills.. Excellent communication and interpersonal skills.. Ability to lead a team.. (ref:hirist.tech). Show more Show less

Project Role : Cloud Migration Engineer Project Role Description : Provides assessment of existing solutions and infrastructure to migrate to the cloud. Plan, deliver, and implement application and data migration with scalable, high-performance solutions using private and public cloud technologies driving next-generation business outcomes. Must have skills : Cloud Migration Planning Good to have skills : Microsoft Azure IaaS, VMWare Cloud AdministrationMinimum 7.5 year(s) of experience is required Educational Qualification : Graduate Post Graduate BE B Tech MSC IT M Tech M Sc CS Summary :As a Cloud Migration Engineer, you will provide a comprehensive assessment of existing solutions and infrastructure to facilitate their migration to the cloud. Your typical day will involve planning, delivering, and implementing application and data migration strategies that leverage both private and public cloud technologies. You will focus on creating scalable and high-performance solutions that drive next-generation business outcomes, ensuring that the migration process aligns with organizational goals and enhances operational efficiency. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Develop and maintain comprehensive migration plans that outline timelines, resources, and risk management strategies.- Facilitate training and knowledge transfer sessions to ensure team members are equipped with the necessary skills for cloud technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Cloud Migration Planning.- Good To Have Skills: Experience with Microsoft Azure IaaS, VMWare Cloud Administration.- Strong understanding of cloud architecture and deployment models.- Experience with data migration tools and techniques.- Familiarity with security best practices in cloud environments. Additional Information:- The candidate should have minimum 7.5 years of experience in Cloud Migration Planning.- This position is based at our Bengaluru office.- A Graduate Post Graduate BE B Tech MSC IT M Tech M Sc CS is required. Qualification Graduate Post Graduate BE B Tech MSC IT M Tech M Sc CS

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.

Company: Oliver Wyman Description: Oliver Wyman Actuarial Analyst Life Office/Regions available Bengaluru, Gurugram Company Overview The Actuarial Consulting Practice of Oliver Wyman advises clients across a broad spectrum of risk management issues. We are a rapidly growing practice with offices across the globe. Our actuaries hold the highest professional qualifications and are nationally recognized as experts in their field(s). We use mathematical and statistical modeling skills and our qualitative assessment methodologies to assist clients in evaluating and addressing risk. Our solutions help clients manage and prepare for the potential financial consequences of uncertain future events. We bring a combination of broad-based expertise with specialized knowledge of specific risks, allowing us to provide independent, objective advice in the three primary areas of riskhealthcare, life and annuity, and property and casualty. Oliver Wyman provides customized actuarial services and strategic insight, supporting clients as they strive to exceed their business objectives. Our exceptional client and employee retention exemplify our commitment to relationships built on trust, responsiveness and clear communication. The Actuarial Life Practice is a part of the broader Actuarial Practice which strives to be the consulting partner of choice for clients and employees, and to be recognized as the premier life, annuity and LTC actuarial consultancy by fostering the power of ideas to lead our industry, consistently helping clients achieve their strategic objectives, and gaining trusted advisor status. The practice seeks to inspire an entrepreneurial culture which fosters free flowing ideas, values diversity, and allows for challenges to the status quo. Its colleagues are proud to perform exciting, diverse, and leading-edge work. Job Title Actuarial Analyst Life Years of experience 3-5 years Office/Regions available: Bengaluru, Gurugram 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 Why Work for Us Oliver Wyman seeks to invest in its people by fostering a safe and inclusive environment, respecting and welcoming different perspectives, promoting an ownership culture, providing opportunities for individuals to develop their personal brand, and celebrating successes and rewarding performance. Oliver Wyman offers a performance-based pay program that rewards colleagues for the contributions they make to our business results, including year-end bonuses based on personal and corporate performance. We also offer an impressive array of benefits. For more information, please visit our website at www.oliverwyman.com/actuaries. About Oliver Wyman Follow Oliver Wyman on X @OliverWyman. Marsh & McLennan Companies and its Affiliatesare EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. The Actuarial Practice of Oliver Wyman advises clients across a broad spectrum of risk management issues. We are a rapidly growing group with offices expanding across the globe. Our actuaries hold the highest professional qualifications and are nationally recognized as experts in their field(s). We use mathematical and statistical modeling skills and our qualitative assessment methodologies to assist clients in evaluating and addressing risk. Our solutions help clients manage and prepare for the potential financial consequences of uncertain future events. We bring a combination of broad-based expertise with specialized knowledge of specific risks, allowing us to provide independent, objective advice in the three primary areas of riskhealthcare, life and annuity, and property and casualty. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Company: Oliver Wyman Description: Job Title Actuarial Consultant Life 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 Why Work for Us Oliver Wyman seeks to invest in its people by fostering a safe and inclusive environment, respecting and welcoming different perspectives, promoting an ownership culture, providing opportunities for individuals to develop their personal brand, and celebrating successes and rewarding performance. Oliver Wyman offers a performance-based pay program that rewards colleagues for the contributions they make to our business results, including year-end bonuses based on personal and corporate performance. We also offer an impressive array of benefits. For more information, please visit our website at www.oliverwyman.com/actuaries. About Oliver Wyman Follow Oliver Wyman on X @OliverWyman. Marsh & McLennan Companies and its Affiliatesare EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. The Actuarial Practice of Oliver Wyman advises clients across a broad spectrum of risk management issues. We are a rapidly growing group with offices expanding across the globe. Our actuaries hold the highest professional qualifications and are nationally recognized as experts in their field(s). We use mathematical and statistical modeling skills and our qualitative assessment methodologies to assist clients in evaluating and addressing risk. Our solutions help clients manage and prepare for the potential financial consequences of uncertain future events. We bring a combination of broad-based expertise with specialized knowledge of specific risks, allowing us to provide independent, objective advice in the three primary areas of riskhealthcare, life and annuity, and property and casualty. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Company: Oliver Wyman Description: Oliver Wyman DNA team is now looking to hire a Senior Data Analytics Specialist - we are looking for individuals with strong experience in Data Analytics and Private Capital Industry. OW DNA Overview The Oliver Wyman DNA is a distinguished center of excellence for business analytics and data analytics within Oliver Wyman. This group leverages data and information to provide business insights to Oliver Wyman consulting teams driving positive outcomes and tangible impact for Oliver Wymans clients. The group combines cutting edge data science expertise with core consulting expertise to augment engagement teams with analytical firepower to deliver outstanding results. Key Responsibilities: Deploy best-in-class analytics, statistical models, and research methods to solve complex business problems and generate impactful business reports Support due diligence and valuation projects for private equity clients, assisting in buy decisions, sell/IPO valuations, and post-transaction deal value realization Conduct thorough market, financial, and operational due diligence to support investment decisions and deal-value realization Develop and maintain financial models, valuation analyses, and data-driven insights using best-in-class analytics and AI techniques. Prepare clear, concise reports and presentations for internal teams and client stakeholders. Collaborate with senior team members to identify risks, growth opportunities, and value creation levers for clients Support business development efforts by gathering market intelligence and contributing to client proposals. Maintain and enhance data management and reporting tools leveraging MS Excel, PowerPoint, and other relevant software Education: Bachelors degree in Science, Finance, Mathematics, Economics or equivalent. MS or Certificate courses in analytics preferred Experience: Overall experience of 2+ years in data analytics, with minimum 1+ years of exposure to market research and/or due diligences Excellent analytical and problem-solving skills with proven ability to deliver actionable insights and proficiency in financial modelling and modelling techniques Knowledge and in-depth experience with customer research techniques (interviews, surveys, focus groups) Experience of doing business research across multiple sectors, preferably in a global consulting firm set up Strong written and verbal communication skills with demonstrated ability to interact effectively with all levels of stakeholders (both internal and external) Experience of working with specialized data sources such as Capital IQ , Factiva, Bloomberg etc. Advanced skills in MS-office, along with familiarity with Gen AI and other analytical tools preferred Strong experience in data analytics and visualization tools such as SQL, Python and PowerBI Quick learner with ability to learn and pick up a new tool/ platform quickly Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Join our team to develop and maintain trading algorithms using Python and Pandas. No prior finance experience needed—just strong Python skills, eagerness to learn, and a growth mindset. Training in options and strategies will be provided.

Responsibilities: Collaborate with business stakeholders to understanddatarequirements and objectives. Analyse complexdatasets to extract valuable insights and trends. Interpretdatato identify opportunities for process improvements and business growth. Develop reports, dashboards, and visualisations to communicate findings effectively. Conductdataquality assessments and ensuredataintegrity across systems. Supportdata-driven decision-making by providing actionable recommendations. Work with cross-functional teams to implementdatasolutions that meet business needs. Stay informed on industry trends and best practices indataanalysis and business intelligence Qualifications: Bachelor's degree in Business Administration, Statistics, Computer Science, or related field. Proven experience as a BusinessAnalystorDataAnalystin a corporate setting. Proficiency indataanalysis tools (e.g., SQL, Excel, Amazon QuickSight) anddatabase querying. Strong analytical skills with the ability to translate complexdatainto actionable insights. Excellent communication and presentation skills. Experience withdatavisualization tools and techniques. Knowledge of business processes and operations. Preferred Skills: Familiarity with ETL processes anddatawarehousing concepts. Experience with predictive analytics and statistical modelling. Certification in business analysis or related field is a plus. Knowledge of Agile methodologies for project management.

As a Senior Technical Specialist, you will play a key role in developing and maintaining network management applications for optical transport technologies, ensuring efficient configuration, fault supervision, and performance monitoring. You will leverage your expertise in data science and machine learning to enhance network management capabilities, applying advanced models and feature engineering techniques. With strong proficiency in Python, Java, GoLang, and cloud-based technologies, you will drive innovation, optimize performance, and enable seamless deployments through CI/CD pipelines. Your adaptability and leadership will help mentor junior developers, foster collaboration, and navigate the fast-paced, evolving landscape of optical network management. This role offers the opportunity to make a significant impact on global deployments while continuously learning and growing in a cutting-edge technological environment. You have: Bachelors degree or equivalent, with 7 to 12 years of experience as a Data Scientist. Analyze data and apply appropriate models (univariate, multivariate). Expertise in various learning models, including supervised, unsupervised, and different neural network variations. Proficient in applying probabilistic and stochastic models to different datasets and performing feature engineering for various models. Stay up to date with the capabilities and limitations of different models and distinguish between real-time and batch processing needs. Strong domain knowledge or the ability to learn the Optical Transport domain for effective feature engineering. It would be nice if you also had: Proficiency in NumPy, Pandas, PyTorch, SciPy, Keras, TensorFlow, GoLang, and corresponding packages for Java and Python, as well as various Time Series databases. Ability to differentiate between Proof-of-Concept mode and deployment for small- and large-scale data using CI/CD pipelines. Adaptability to rapidly evolving technology and tools, with a proven ability to learn quickly. Network Management of Optics Division products, including Photonic/WDM, Optical Transport, and SDH/SONET. Optics Network Management applications provide users with control over the network, including configuration (infrastructure, end-to-end services), fault supervision, and performance monitoring. These applications interface with various Network Elements, provide a user-friendly graphical interface, and implement algorithms and functions to facilitate network management and reduce OPEX. Optics Network Management applications are deployed worldwide in hundreds of installations, serving both large enterprises and small customers. The Software Development Engineer for Optics Network Management will be part of the development team, contributing to new developments and maintaining applications to enhance functionality and customer satisfaction.

Project description We are seeking a highly skilled and motivated Data Scientist with 5+ years of experience to join our team. The ideal candidate will bring strong data science, programming, and data engineering expertise, along with hands-on experience in generative AI, large language models, and modern LLM application frameworks. This role also demands excellent communication and stakeholder management skills to collaborate effectively across business units. Responsibilities We are seeking a highly skilled and motivated Data Scientist with 5+ years of experience to join our team. The ideal candidate will bring strong data science, programming, and data engineering expertise, along with hands-on experience in generative AI, large language models, and modern LLM application frameworks. This role also demands excellent communication and stakeholder management skills to collaborate effectively across business units. Skills Must have Experience5+ years of industry experience as a Data Scientist, with a proven track record of delivering impactful, data-driven solutions. Programming Skills: Advanced proficiency in Python, with extensive experience writing clean, efficient, and maintainable code. Proficiency with version control tools such as Git. Data EngineeringStrong working proficiency with SQL and distributed computing with Apache Spark. Cloud PlatformsExperience building and deploying apps on Azure Cloud. Generative AI & LLMsPractical experience with large language models (e.g., OpenAI, Anthropic, HuggingFace). Knowledge of Retrieval-Augmented Generation (RAG) techniques and prompt engineering is expected. Machine Learning & ModelingStrong grasp of statistical modeling, machine learning algorithms, and tools like scikit-learn, XGBoost, etc. Stakeholder EngagementExcellent communication skills with a demonstrated ability to interact with business stakeholders, understand their needs, present technical insights clearly, and drive alignment across teams. Tools and librariesProficiency with libraries like Pandas, NumPy, and ML lifecycle tools such as MLflow. Team CollaborationProven experience contributing to agile teams and working cross-functionally in fast-paced environments. Nice to have Hands-on experience with Databricks and Snowflake. Hands-on experience building LLM-based applications using agentic frameworks like LangChain, LangGraph, and AutoGen. Familiarity with data visualization platforms such as Power BI, Tableau, or Plotly. Front-end/Full stack development experience. Exposure to MLOps practices and model deployment pipelines in production. OtherLanguagesEnglishC2 Proficient SeniorityRegular

Generative AI Experience in developing Generative AI based applications Knowledge of various GenAI techniques and frameworks. Python o Machine Learning model development and deployment Azure AI services Optional skills but good to have : SQL API development

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking a Research Associate (Economics) with a minimum of 1-2 years of experience to join us as a freelancer and contribute to research and analysis in economic modeling and policy evaluation. Key Responsibilities:. Assist in the development and analysis of economic models and forecasts. Support research projects and contribute to reports and publications. Conduct data analysis, literature reviews, and provide insights on economic trends. Required Qualifications:. 1-2 years of experience in economic research. Strong skills in data analysis and econometrics. Proficiency in research tools like Stata, R, or Python. Why Join Us. Competitive pay (‚1200/hour). Flexible hours. Remote opportunity. NOTEPay will vary by project and typically is up to Rs. 1200 per hour (if you work an average of 3 hours every day that could be as high as Rs. . Shape the future of AI with Soul AI!.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for Indias top 1% Data Scientists for a unique job opportunity to work with the industry leaders. Who can be a part of the community. We are looking for top-tier Data Scientists with expertise in predictive modeling, statistical analysis, and A/B testing. If you have experience in this field then this is your chance to collaborate with industry leaders. Whats in it for you. Pay above market standards. The role is going to be contract based with project timelines from 2 12 months, or freelancing. Be a part of an Elite Community of professionals who can solve complex AI challenges. Work location could be:. Remote (Highly likely). Onsite on client location. Deccan AIs OfficeHyderabad or Bangalore. Responsibilities:. Lead design, development, and deployment of scalable data science solutions optimizing large-scale data pipelines in collaboration with engineering teams. Architect advanced machine learning models (deep learning, RL, ensemble) and apply statistical analysis for business insights. Apply statistical analysis, predictive modeling, and optimization techniques to derive actionable business insights. Own the full lifecycle of data science projects"”from data acquisition, preprocessing, and exploratory data analysis (EDA) to model development, deployment, and monitoring. Implement MLOps workflows (model training, deployment, versioning, monitoring) and conduct A/B testing to validate models. Required Skills: . Expert in Python, data science libraries (Pandas, NumPy, Scikit-learn), and R with extensive experience with machine learning (XGBoost, PyTorch, TensorFlow) and statistical modeling. Proficient in building scalable data pipelines (Apache Spark, Dask) and cloud platforms (AWS, GCP, Azure). Expertise in MLOps (Docker, Kubernetes, MLflow, CI/CD) along with strong data visualization skills (Tableau, Plotly Dash) and business acumen. Nice to Have:. Experience with NLP, computer vision, recommendation systems, or real-time data processing (Kafka, Flink). Knowledge of data privacy regulations (GDPR, CCPA) and ethical AI practices. Contributions to open-source projects or published research. What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.