285 Xgboost Jobs - Page 10

Quantitative Analyst: Hillroute Capital About Hillroute: Hillroute Capital is a regulated quantitative hedge fund specializing in global digital asset trading. We leverage sophisticated quantitative methodologies and advanced technology to achieve exceptional risk-adjusted returns. Our transparent approach and diverse, experienced team allow us to excel in the rapidly evolving digital asset market. About the Role: We are seeking a highly skilled Quantitative Analyst to develop, test, and refine systematic trading models across global digital asset markets. This role offers flexibility in approach—candidates with expertise in systematic strategies, options trading, statistical arbitrage, backtesting, or machine learning are equally encouraged to apply. This role will be in the US shift. Key Responsibilities: Strategy Development & Backtesting: Design and rigorously backtest quantitative trading models, ensuring predictive reliability and strong risk management. Quantitative & Statistical Analysis: Apply advanced statistical modeling, econometric analysis, or financial mathematics to extract market insights. Risk Management: Contribute actively to robust risk management frameworks, identifying potential risks and implementing mitigation strategies. Innovation: Regularly generate and test new ideas and strategies, pushing boundaries to enhance fund performance. Preferred Qualifications: 3–5 years experience in quantitative analysis, trading, or research roles within finance. 1-3 years experience in running quantitative machine learning models. Advanced degree in quantitative disciplines (Mathematics, Physics, Statistics, Computer Science, Engineering). Strong Python programming skills (NumPy, Pandas), and familiarity with backtesting frameworks (Backtrader, QuantConnect). Solid knowledge in options pricing, volatility modeling, statistical arbitrage, or systematic strategies. Familiarity with financial data platforms (Bloomberg, Refinitiv, Quandl). Exposure to cloud computing environments (AWS, GCP, Azure). Experience or interest in applying machine learning techniques (XGBoost, TensorFlow, PyTorch) is a plus—but not mandatory. Participation in Kaggle or similar platforms is beneficial but not required. Key Performance Indicators (KPIs): Model profitability and risk-adjusted returns. Backtest reliability and accuracy. Effectiveness in risk management. Contribution to innovation and research quality. What We Offer: Competitive compensation and performance-based incentives. The opportunity to pioneer quantitative strategies in the dynamic digital asset industry. A collaborative, inclusive, and flexible working environment. Professional growth in an innovative, fast-paced hedge fund setting. If you're passionate about quantitative finance and thrive in a dynamic, data-driven environment, we invite you to join our team. Apply directly via LinkedIn: Hillroute Capital Show more Show less

Quantitative Analyst: Hillroute Capital About Hillroute: Hillroute Capital is a regulated quantitative hedge fund specializing in global digital asset trading. We leverage sophisticated quantitative methodologies and advanced technology to achieve exceptional risk-adjusted returns. Our transparent approach and diverse, experienced team allow us to excel in the rapidly evolving digital asset market. About the Role: We are seeking a highly skilled Quantitative Analyst to develop, test, and refine systematic trading models across global digital asset markets. This role offers flexibility in approach—candidates with expertise in systematic strategies, options trading, statistical arbitrage, backtesting, or machine learning are equally encouraged to apply. Key Responsibilities: Strategy Development & Backtesting: Design and rigorously backtest quantitative trading models, ensuring predictive reliability and strong risk management. Quantitative & Statistical Analysis: Apply advanced statistical modeling, econometric analysis, or financial mathematics to extract market insights. Risk Management: Contribute actively to robust risk management frameworks, identifying potential risks and implementing mitigation strategies. Innovation: Regularly generate and test new ideas and strategies, pushing boundaries to enhance fund performance. Preferred Qualifications: 3–5 years experience in quantitative analysis, trading, or research roles within finance. 1-3 years experience in running quantitative machine learning models. Advanced degree in quantitative disciplines (Mathematics, Physics, Statistics, Computer Science, Engineering). Strong Python programming skills (NumPy, Pandas), and familiarity with backtesting frameworks (Backtrader, QuantConnect). Solid knowledge in options pricing, volatility modeling, statistical arbitrage, or systematic strategies. Familiarity with financial data platforms (Bloomberg, Refinitiv, Quandl). Exposure to cloud computing environments (AWS, GCP, Azure). Experience or interest in applying machine learning techniques (XGBoost, TensorFlow, PyTorch) is a plus—but not mandatory. Participation in Kaggle or similar platforms is beneficial but not required. Key Performance Indicators (KPIs): Model profitability and risk-adjusted returns. Backtest reliability and accuracy. Effectiveness in risk management. Contribution to innovation and research quality. What We Offer: Competitive compensation and performance-based incentives. The opportunity to pioneer quantitative strategies in the dynamic digital asset industry. A collaborative, inclusive, and flexible working environment. Professional growth in an innovative, fast-paced hedge fund setting. If you're passionate about quantitative finance and thrive in a dynamic, data-driven environment, we invite you to join our team. Apply directly via LinkedIn: Hillroute Capital Show more Show less

Profile Description We’re seeking someone to join our team as Senior Machine Learning Engineer with expertise in architecture, design and development of data and ML centric applications at scale. The right candidate should have a background in data engineering and requisite experience working with Machine learning (ML) algorithms and Frameworks. The role is a confluence of Developer, ML and data analysis. WM_Technology Wealth Management Technology is responsible for the design, development, delivery, and support of the technical solutions behind the products and services used by the Morgan Stanley Wealth Management Business. Practice areas include: Analytics, Intelligence, & Data Technology (AIDT), Client Platforms, Core Technology Services (CTS), Financial Advisor Platforms, Global Banking Technology (GBT), Investment Solutions Technology (IST), Institutional Wealth and Corporate Solutions Technology (IWCST), Technology Delivery Management (TDM), User Experience (UX), and the CAO team. Services Tech Services Technology is a dynamic and fast-paced area within the Firm's WM Technology Division. The charter of this department is to develop applications that covers Service to Sales which includes Contact Center, Client Onboarding, Account Opening, CRM, JAWS, Document Management, Workflows, RPA that supports FAs, CSAs, and Operations. Software Engineering This is Director position that develops and maintains software solutions that support business needs. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. At Morgan Stanley India, we support the Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there’s ample opportunity to move across the businesses for those who show passion and grit in their work. Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on… What You’ll Do In The Role Digitizing document which can support structured and unstructured documents. Collaboratively Work with Chapter lead, product owners, scrum masters and testing team to deliver business requirements. Participate in scrum meeting, chapter meeting and fleet meeting Create highly optimized, scalable, redundant, and distributed software Deliver manageable, modular code, along with automated tests Work with geographically dispersed teams (NYC, Alpharetta, Mumbai, and Bangalore). Perform code reviews on server-side code Help release and maintain code as well as address production issues Implementing DevOps tools and practice Writing unit tests using Junit and Mockito What You’ll Bring To The Role At least 5 years’ relevant experience would generally be expected to find the skills required for this role Hand on experience in AI/ML Experience in Python/Java. Experience in OCR technologies. Experience/exposure to LLM and Open Deep Convolutional Neural network Machine learning libraries: TensorFlow, Keras, PyTorch, Hugging Face, PySpark, OpenCV, Scikit-learn, NumPy, Matplotlib, Seaborn, Pandas, SciPy, NLP Libraries such as NLTK, SpaCy, HF Transformers, LightGBM, XGBoost ML Ops Tools: TensorFlow Extended (TFX), PyTorch Serve, MLflow, Kubeflow, Docker, Kubernetes, Apache Airflow, DVC Jupyter Notebooks and VS code Familiarity in OCR technologies Must have experience in Agile and DevOps practices. Strong communication, organizational, and collaboration skills. Demonstrates exceptional analytical and problem-solving skills. Development experience building high volume systems. Experience in working on large and medium scale projects in agile environment. Experience with task management tools such as JIRA. Competency with source control (preferably Git) and Continuous Integration tools such as Jenkins or TeamCity. Good understanding on cloud What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 85 years. At our foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. Our Firm is differentiated by the caliber of our diverse team, while our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents. What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Show more Show less

Relocation Assistance Offered Within Country Job Number #166101 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. About Colgate-Palmolive Do you want to come to work with a smile and leave with one as well? In between those smiles, your day consists of working in a global organization, continually learning and collaborating, having stimulating discussions, and making impactful contributions! If this is how you see your career, Colgate is the place to be! Our dependable household brands, dedicated employees, and sustainability commitments make us a company passionate about building a future to smile about for our employees, consumers, and surrounding communities. The pride in our brand fuels a workplace that encourages creative thinking, champions experimentation, and promotes authenticity which has contributed to our enduring success. If you want to work for a company that lives by their values, then give your career a reason to smile...every single day. The Experience The Global Data Science & Advanced Analytics team in Colgate Palmolive is focused on working on commercial business cases which have a revenue impact for the business with recommended actions and scope for scalability across markets. The role requires working with cross functional teams and leaders across Information Technology (UI/UX Front End, Back end, ML Ops), data architecture, data engineering, division analytics leads and business teams, The Global Data Science & Advanced Analytics team is structured with Analytics Leads, Data Science Leads, Data Scientists and Analytics Engineers to solve business questions, provide actionable insights and drive growth for the organization. The role will lead a team of Data Scientists to develop scalable enterprise solutions from scratch in the areas of Marketing and Media Effectiveness, Marketing Mix Models, Revenue Growth Management, Category Forecasting. The role requires an understanding of Internal & external data sources (Syndicated Market Data, Point of Sales, Nielsen, SAP, Retailer ePOS etc.) and the ability to work with large datasets to derive insights and recommendations. The candidate should have proven ability to write scalable codes in SQL, Python, R to build and deploy statistical models, machine learning models in production using Airflow, conceptualize algorithms to guide the team to achieve the business objectives and goals. Knowledge of working on cloud environments (Google Cloud, Snowflake) is crucial. The candidate should be an analytical problem solver and be proactive and responsive to Business needs Communication is a prime requisite along with storytelling to present complex model insights in simple business language to the stakeholders. Who Are You You are a Data Science Expert and Leader working on solving Business Questions and leading a high performing Data Science and Advanced Analytics team An expert coder to write codes in SQL, Python to build scalable enterprise level data science solutions in Marketing Mix Modelling and Revenue Growth Management and to address business problems requiring descriptive, diagnostic, predictive, and / or prescriptive analytics Ability to write codes to build Regression Models, Machine Learning Models [ Ridge, Lasso, Logistic Regression, Bayesian Regression, Random Forests, XGBOOST, Optimization, Simulation ] at scale and then deploy models in production on cloud platforms using Airflow Leading, Mentoring, Coaching data scientists on key technical and domain topics through solution and code reviews to meet business objectives End to end accountability of quality of recommendations, insights and data science solutions developed and deployed in the organization globally You can prioritize multiple work assignments multi-task conflicting priorities and meet deadlines Excellent written and verbal communication. Good facilitation and project management skills You connect the dots - Understands business needs, business questions and identifies the right analytics capabilities to solve them Presentation and Storytelling of model results, insights, recommendation and actions to Marketing and Customer Development (Sales) team and to Division/Global Analytics Leads Communicate complex quantitative insights in a precise, and actionable manner to business stakeholders You are a collaborator - Work with cross functional teams in GIT, Data Architecture, Analytics Engineering to drive the delivery and project management of large scale enterprise wide data science solutions Work collaboratively with the Division Analytics/Global Analytics team and business partners across geographies located in different time zones. You are an innovator - Drive new value from insights by connecting external and internal data sources Bring in enhancements to the existing data science solutions / capabilities by exploring new solutions and techniques Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, exploring new data sources, re-designing infrastructure for greater scalability, etc. Qualifications What you’ll need Bachelor degree required [ Master's or MBA preferred ] in data science, computer science engineering, Information Technology, other engineering streams, a related quantitative and technical (Statistics, Business Analytics, Econometrics) 8+ years of data science and analytics experience in developing and deploying machine learning algorithms in a production environment Experience in setting up or managing a data science team is a must [ 2+ years ] Expert knowledge in all the following domains Marketing Mix Modeling, Revenue Growth Management, Optimization Techniques, Forecasting, Recommendation Engines, Marketing Analytics in CPG or Consulting Companies Extraordinary coding skills in SQL, Python, PySpark, R to implement statistical and machine learning algorithms like Linear Regression, Ridge, Lasso, PyMc, Bayesian Methods, GLMNET, Decision Trees, Random Forests, XGBOOST, SVM etc Strong knowledge of MLOPS using docker, airflow, kubernetes, databricks, dataiku on any cloud platform Proficient in Cloud Platforms - Google Cloud, Snowflake and experience dealing with high-volume, high-dimensionality data from varying sources (Cloud Platforms, Nielsen, SAP, Retailer ePOS; both structured and unstructured data) Experience in supporting and working with multi-functional teams in a dynamic environment Proficient in Reporting Insights, making and delivering presentation via Excel, Google Sheets, Google Slides, DOMO and any other Visualization Tools Proven Ability to provide structure and think strategically in complex business context and operate effectively in ambiguity Ability to independently plan and execute deliveries and be comfortable in a client / business facing role Exceptional communication & collaboration skills to understand business partner needs & deliver solutions. What You’ll Need (Preferred) Experience in building web apps using Pydash, Plotly, R Shiny, Streamlit Experience in Deep Learning, Reinforcement Learning, Image Recognition, AI algorithms, GenAI Experience with Databricks, Docker, Azure Data Factory Experience with machine learning API on cloud services: Azure, AWS, Vertex AI Our Commitment to Diversity, Equity & Inclusion Achieving our purpose starts with our people — ensuring our workforce represents the people and communities we serve —and creating an environment where our people feel they belong; where we can be our authentic selves, feel treated with respect and have the support of leadership to impact the business in a meaningful way. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. Show more Show less

Job Title - Data Scientist and Analytics Level 7:Manager Ind & Func AI Decision Science Manager S&C Management Level:07 - Manager Location Bangalore/Gurgaon/Hyderabad/Mumbai Must have skills: Technical (Python, SQL, ML and AI), Functional (Data Scientist and B2B Analytics preferably in Telco and S&P industries) Good to have skillsGEN AI, Agentic AI, cloud (AWS/Azure, GCP) Job Summary : About Global Network Data & AI:- Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition About Comms & Media practice The Accenture Center for Data and Insights (CDI) team helps businesses integrate data and AI into their operations to drive innovation and business growth by designing and implementing data strategies, generating actionable insights from data, and enabling clients to make informed decisions. In CDI, we leverage AI (predictive + generative), analytics, and automation to build innovative and practical solutions, tools and capabilities. The team is also working on building and socializing a Marketplace to democratize data and AI solutions within Accenture and for clients. Globally, CDI practice works across industry to develop value growth strategies for its clients and infuse AI & GenAI to help deliver top their business imperatives i.e., revenue growth & cost reduction. From multi-year Data & AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices. Roles & Responsibilities: Experienced in Analytics in B2B domain. Responsible to help the clients with designing & delivering AI/ML solutions. He/she should be strong in Telco and S&P domain, AI fundamentals and should have good hands-on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL. Data manipulation and aggregation using Python. Propensity modeling using various ML algorithms. Text mining using NLP/AI techniques Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client. Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem. Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project. Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues. Partner with clients to understand end clients' business goals, marketing objectives, and competitive constraints. Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders. Professional & Technical Skills: Overall 10+ years of experience in Data Science B.Tech Engineering from Tier 1 school or Msc in Statistics/Data Science from a Tier 1/Tier 2 Demonstrated experience in solving real-world data problems through Data & AI Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Execution level understanding of econometric/statistical modeling packages Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling. Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc. Knowledge of Deep learning modeling techniques like RNN, CNN etc. Experience using digital & statistical modeling software Python (must), R, PySpark, SQL (must), BigQuery, Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc. Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Strong analytical, problem-solving skills and good communication skills Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members. Execution knowledge of optimization techniques is a good-to-have Exact optimization Linear, Non-linear optimization techniques Evolutionary optimization Both population and search-based algorithms Cloud platform Certification, experience in Computer Vision are good-to-haves Qualifications Experience: B.Tech Engineering from Tier 1 school or Msc in Statistics/Data Science from a Tier 1/Tier 2 Educational Qualification: B.tech or MSC in Statistics and Data Science

Key Responsibilities: Collaborate with data scientists to support end-to-end ML model development, including data preparation, feature engineering, training, and evaluation. Build and maintain automated pipelines for data ingestion, transformation, and model scoring using Python and SQL.. Assist in model deployment using CI/CD pipelines (e.g., Jenkins) and ensure smooth integration with production systems. Develop tools and scripts to support model monitoring, logging, and retraining workflows. Work with data from relational databases (RDS, Redshift) and preprocess it for model consumption. Analyze pipeline performance and model behavior; identify opportunities for optimization and refactoring. Contribute to the development of a feature store and standardized processes to support reproducible data science. Required Skills & Experience: 13 years of hands-on experience in Python programming for data science or ML engineering tasks. Solid understanding of machine learning workflows, including model training, validation, deployment, and monitoring. Proficient in SQL and working with structured data from sources like Redshift, RDS, etc. Familiarity with ETL pipelines and data transformation best practices. Basic understanding of ML model deployment strategies and CI/CD tools like Jenkins. Strong analytical mindset with the ability to interpret and debug data/model issues. Preferred Qualifications: Exposure to frameworks like scikit-learn, XGBoost, LightGBM, or similar. Knowledge of ML lifecycle tools (e.g., MLflow, Ray). Familiarity with cloud platforms (AWS preferred) and scalable infrastructure. Experience with data or model versioning tools and feature engineering frameworks.

Key Responsibilities: Collaborate with data scientists to support end-to-end ML model development, including data preparation, feature engineering, training, and evaluation. Build and maintain automated pipelines for data ingestion, transformation, and model scoring using Python and SQL.. Assist in model deployment using CI/CD pipelines (e.g., Jenkins) and ensure smooth integration with production systems. Develop tools and scripts to support model monitoring, logging, and retraining workflows. Work with data from relational databases (RDS, Redshift) and preprocess it for model consumption. Analyze pipeline performance and model behavior; identify opportunities for optimization and refactoring. Contribute to the development of a feature store and standardized processes to support reproducible data science. Required Skills & Experience: 13 years of hands-on experience in Python programming for data science or ML engineering tasks. Solid understanding of machine learning workflows, including model training, validation, deployment, and monitoring. Proficient in SQL and working with structured data from sources like Redshift, RDS, etc. Familiarity with ETL pipelines and data transformation best practices. Basic understanding of ML model deployment strategies and CI/CD tools like Jenkins. Strong analytical mindset with the ability to interpret and debug data/model issues. Preferred Qualifications: Exposure to frameworks like scikit-learn, XGBoost, LightGBM, or similar. Knowledge of ML lifecycle tools (e.g., MLflow, Ray). Familiarity with cloud platforms (AWS preferred) and scalable infrastructure. Experience with data or model versioning tools and feature engineering frameworks.

Salary : 20 to 35 LPA Exp: 3 to 10 years Location :Bangalore/Pune/Gurugram (Hydrid) Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) PD/LGD model development Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Text classification using any of the following : decision trees, knn classification, support vector machines or LDA Exp on SQL would be a plus

BIU: JD for Data Science Grade: Business: BIU Department: � BIU Sub - Department: BIU Location: Mumbai/Bangalore About BIU Axis Bank�s (Business Intelligence Unit): This is a high profile team with a mandate to drive data based decisions within the bank. Reporting in to Head Banking Operations and Transformation, this department works with all businesses of the bank including retail, small business and corporate to drive analytics. In terms of functions, the department has teams focused on all aspects of analytics for the bank including risk analytics, financial analytics, crime analytics, business and marketing analytics, building predictive scores, data engineering, business reporting and data governance roles. About the Role Analytics is one of top focus areas for the bank and this position represents opportunity to be part of high growth teams driving innovation. This role involves understanding of model building and reviewing. Key Responsibilities The candidate will be responsible for the following in his/her job role: � Co-own the business goals & lead problem solving, work in an agile manner with business partners, Risk-review committee members , data engineering and IT � Work with a team of data scientists and help deliver on projects in a time bound fashion. � Innovate by adapting new modeling techniques and procedures � Work in a self-directed environment, own tasks and drive them to completion Role Proficiencies: � The candidate is required to have: � Fluency in Python, SQL/SAS � hands on relevant experience � Experience in building models, with some years in building credit-Risk models � Prior experience in BFSI domain a plus � Should have good knowledge of advanced ML techniques (Logistic, XGboost, RF, ANNs, Ensembles) and understand the end to end deployment aspects � Knowledge of dockers/containers, micro services is a plus � Solid spoken and written communication skills � Should have strong analytical thinking and be able to convince stakeholders on using data-based evidence Experience in modelling for BFSI domain preferred � Having good exposure of various deployment platforms like FICO BLAZE, BDL, ORACLE etc.. � Strong track record in solving analytical problems using quantitative and statistical approaches � Ability to manipulate and analyse complex, high- volume, high- dimension data from varying sources � Technical competence in tools such as Python and/or SAS a plus

As an expectation a fitting candidate must have/be: Ability to analyze business problem and cut through the data challenges. Ability to churn the raw corpus and develop a data/ML model to provide business analytics (not just EDA), machine learning based document processing and information retrieval Quick to develop the POCs and transform it to high scale production ready code. Experience in extracting data through complex unstructured documents using NLP based technologies. Good to have : Document analysis using Image processing/computer vision and geometric deep learning Technology Stack: Python as a primary programming language. Conceptual understanding of classic ML/DL Algorithms like Regression, Support Vectors, Decision tree, Clustering, Random Forest, CART, Ensemble, Neural Networks, CNN, RNN, LSTM etc. Programming: Must Have: Must be hands-on with data structures using List, tuple, dictionary, collections, iterators, Pandas, NumPy and Object-oriented programming Good to have: Design patterns/System design, cython ML libraries : Must Have: Scikit-learn, XGBoost, imblearn, SciPy, Gensim Good to have: matplotlib/plotly, Lime/sharp Data extraction and handling: Must Have: DASK/Modin, beautifulsoup/scrappy, Multiprocessing Good to have: Data Augmentation, Pyspark, Accelerate NLP/Text analytics: Must Have: Bag of words, text ranking algorithm, Word2vec, language model, entity recognition, CRF/HMM, topic modelling, Sequence to Sequence Good to have: Machine comprehension, translation, elastic search Deep learning: Must Have: TensorFlow/PyTorch, Neural nets, Sequential models, CNN, LSTM/GRU/RNN, Attention, Transformers, Residual Networks Good to have: Knowledge of optimization, Distributed training/computing, Language models Software peripherals: Must Have: REST services, SQL/NoSQL, UNIX, Code versioning Good to have: Docker containers, data versioning Research: Must Have: Well verse with latest trends in ML and DL area. Zeal to research and implement cutting areas in AI segment to solve complex problems Good to have: Contributed to research papers/patents and it is published on internet in ML and DL Morningstar is an equal opportunity employer. Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues. I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build what’s next for their businesses. Your role Understand client business requirement and provide suitable approach to solve the business problem in different domains. Develop strategies to solve problems in logical yet creative ways Helping & Managing teams of data scientist and produce project deliverables Processing, cleansing and verifying the integrity of data used for analysis. Data mining and performing EDAs using state-of-the-art methods. Selecting features, building and optimizing classifiers / regressors, etc. using machine learning & deep learning techniques. Help enhance data collection procedures to include information that is relevant for building analytical systems Doing ad-hoc analysis and presenting results in a clear manner. Follow and help improve with ‘Analytics-Delivery’ procedures using detailed documentations. Create custom reports and presentations accompanied by strong data visualization and storytelling Present analytical conclusions to senior officials in a company and other stakeholders Your Profile Education: Engineering graduates (B.E/ B.Tech)/ Other Graduates (Mathematics/ Statistics/ Operational Research/ Computer Science & Applications). Minimum 4 years relevant experience Experience in data management and visualization task Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, MLFlow, Tensorflow, Pytorch etc. Excellent understanding / hand-on experience in NLP and computer vision. Good understanding / hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc.). Knowledge/ Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost, H2O etc. Knowledge/ hand-on experience Exposure on large scale dataset and respective tool & framework like Hadoop, Pyspark, etc Knowledge/ hand-on experience on deployment of model in production & deployment. Hands on experience in GenAI. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

About the Role: Grade Level (for internal use): 09 S&P Global Mobility The Role: Senior Data Scientist The Team: We are the Research and Modeling team, driving innovation by building robust models and tools to support the Vehicle & Powertrain Forecast team. Our work includes all aspects of development of, and ongoing support for, our business line’ data flows, analyst modelling solutions and forecasts, new apps, new client-facing products, and many other work areas besides. We value ownership, adaptability, and a passion for learning, while fostering an environment where diverse perspectives and mentorship fuel continuous growth. The Impact: We are seeking a motivated and talented Senior Data Scientist to create new AI algorithms and/or improve our current machine learning algorithms, while exploring the potential of GenAI and LLMs to enhance our data collect, data source mapping, and information inference capabilities. This role will directly contribute to our ability to deliver more accurate and timely forecasts to our clients, solidifying S&P Mobility's position as the leader in automotive market intelligence. What’s in it for you: Engage with cutting-edge AI and ML technologies to solve complex forecasting challenges and drive innovation in automotive market intelligence. Lead the development and implementation of advanced analytical models (pricing, demand, specifications), enhancing your expertise and contributing significantly to the product's value. Directly influence forecasts provided to market-leading clients in the automotive sector, gaining exposure to their critical data and business challenges. Benefit from a collaborative environment with opportunities to mentor talent, fostering both your technical leadership and the growth of the team. Responsibilities: Advanced Pricing Analytics: Develop and implement machine learning models to analyse vehicle and powertrain pricing trends, predicting future price points with high accuracy. Create sophisticated algorithms to assess the impact of various factors (e.g., market conditions, competitor pricing, etc.) on vehicle pricing. Refine our forecast system to incorporate these advanced pricing analytics, enhancing the overall forecast precision considering price elasticity. Forecasting Modeling: Improve the performance of current machine learning models (XGBoost) Develop and optimize algorithms for predicting vehicle demand based on historical data, market trends, and pricing information. Develop algorithms for predicting vehicle specifications, like dimension or mass. GenAI and LLM Exploration: Investigate and implement LLMs for efficient data collecting from diverse sources, improving the breadth and depth of our data collection Develop solutions for better mapping, filling, and structuring our data with source information, ensuring data integrity and consistency, ultimately streamlining our data acquisition and analysis processes. Collaboration & Mentorship: Collaborate closely with product teams, business stakeholders, ML Engineers, and Data Engineers to ensure smooth integration of models into production systems. Mentor talent ML Engineer and Data Engineer in fostering their professional growth and development. Communication: Communicate complex technical concepts to non-technical stakeholders. Contribute to the documentation of ML models and processes. What We’re Looking For: Master’s in Data Science, Computer Science, Statistics, or a related field. Minimum 7+ years of professional experience in data science, with a proven track record of developing and deploying machine learning models. Strong proficiency in Python and relevant machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Hands-on experience with Generative AI and Large Language Models (LLMs), including data collection, text analysis, and information retrieval. Experience with cloud platforms (e.g., AWS, Azure, GCP) and data engineering tools Strong communication and collaboration skills. Experience in the automotive sector is a plus. About Company Statement: S&P Global delivers essential intelligence that powers decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape. S&P Global Mobility turns invaluable insights captured from automotive data to help our clients understand today’s market, reach more customers, and shape the future of automotive mobility. About S&P Global Mobility At S&P Global Mobility, we provide invaluable insights derived from unmatched automotive data, enabling our customers to anticipate change and make decisions with conviction. Our expertise helps them to optimize their businesses, reach the right consumers, and shape the future of mobility. We open the door to automotive innovation, revealing the buying patterns of today and helping customers plan for the emerging technologies of tomorrow. For more information, visit www.spglobal.com/mobility . 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. ----------------------------------------------------------- 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), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 314773 Posted On: 2025-05-13 Location: Gurgaon, Haryana, India

About the Role: Grade Level (for internal use): 09 S&P Global Mobility The Role: Senior Data Scientist The Team: We are the Research and Modeling team, driving innovation by building robust models and tools to support the Vehicle & Powertrain Forecast team. Our work includes all aspects of development of, and ongoing support for, our business line’ data flows, analyst modelling solutions and forecasts, new apps, new client-facing products, and many other work areas besides. We value ownership, adaptability, and a passion for learning, while fostering an environment where diverse perspectives and mentorship fuel continuous growth. The Impact: We are seeking a motivated and talented Senior Data Scientist to create new AI algorithms and/or improve our current machine learning algorithms, while exploring the potential of GenAI and LLMs to enhance our data collect, data source mapping, and information inference capabilities. This role will directly contribute to our ability to deliver more accurate and timely forecasts to our clients, solidifying S&P Mobility's position as the leader in automotive market intelligence. What’s in it for you: Engage with cutting-edge AI and ML technologies to solve complex forecasting challenges and drive innovation in automotive market intelligence. Lead the development and implementation of advanced analytical models (pricing, demand, specifications), enhancing your expertise and contributing significantly to the product's value. Directly influence forecasts provided to market-leading clients in the automotive sector, gaining exposure to their critical data and business challenges. Benefit from a collaborative environment with opportunities to mentor talent, fostering both your technical leadership and the growth of the team. Responsibilities: Advanced Pricing Analytics: Develop and implement machine learning models to analyse vehicle and powertrain pricing trends, predicting future price points with high accuracy. Create sophisticated algorithms to assess the impact of various factors (e.g., market conditions, competitor pricing, etc.) on vehicle pricing. Refine our forecast system to incorporate these advanced pricing analytics, enhancing the overall forecast precision considering price elasticity. Forecasting Modeling: Improve the performance of current machine learning models (XGBoost) Develop and optimize algorithms for predicting vehicle demand based on historical data, market trends, and pricing information. Develop algorithms for predicting vehicle specifications, like dimension or mass. GenAI and LLM Exploration: Investigate and implement LLMs for efficient data collecting from diverse sources, improving the breadth and depth of our data collection Develop solutions for better mapping, filling, and structuring our data with source information, ensuring data integrity and consistency, ultimately streamlining our data acquisition and analysis processes. Collaboration & Mentorship: Collaborate closely with product teams, business stakeholders, ML Engineers, and Data Engineers to ensure smooth integration of models into production systems. Mentor talent ML Engineer and Data Engineer in fostering their professional growth and development. Communication: Communicate complex technical concepts to non-technical stakeholders. Contribute to the documentation of ML models and processes. What We’re Looking For: Master’s in Data Science, Computer Science, Statistics, or a related field. Minimum 7+ years of professional experience in data science, with a proven track record of developing and deploying machine learning models. Strong proficiency in Python and relevant machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Hands-on experience with Generative AI and Large Language Models (LLMs), including data collection, text analysis, and information retrieval. Experience with cloud platforms (e.g., AWS, Azure, GCP) and data engineering tools Strong communication and collaboration skills. Experience in the automotive sector is a plus. About Company Statement: S&P Global delivers essential intelligence that powers decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape. S&P Global Mobility turns invaluable insights captured from automotive data to help our clients understand today’s market, reach more customers, and shape the future of automotive mobility. About S&P Global Mobility At S&P Global Mobility, we provide invaluable insights derived from unmatched automotive data, enabling our customers to anticipate change and make decisions with conviction. Our expertise helps them to optimize their businesses, reach the right consumers, and shape the future of mobility. We open the door to automotive innovation, revealing the buying patterns of today and helping customers plan for the emerging technologies of tomorrow. For more information, visit www.spglobal.com/mobility . 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. ----------------------------------------------------------- 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), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 314773 Posted On: 2025-05-13 Location: Gurgaon, Haryana, India

Data Scientist - Automotive Research Gurgaon, India; Bangalore, India Information Technology 314773 Job Description About The Role: Grade Level (for internal use): 09 S&P Global Mobility The Role: Senior Data Scientist The Team: We are the Research and Modeling team, driving innovation by building robust models and tools to support the Vehicle & Powertrain Forecast team. Our work includes all aspects of development of, and ongoing support for, our business line’ data flows, analyst modelling solutions and forecasts, new apps, new client-facing products, and many other work areas besides. We value ownership, adaptability, and a passion for learning, while fostering an environment where diverse perspectives and mentorship fuel continuous growth. The Impact: We are seeking a motivated and talented Senior Data Scientist to create new AI algorithms and/or improve our current machine learning algorithms, while exploring the potential of GenAI and LLMs to enhance our data collect, data source mapping, and information inference capabilities. This role will directly contribute to our ability to deliver more accurate and timely forecasts to our clients, solidifying S&P Mobility's position as the leader in automotive market intelligence. What’s in it for you: Engage with cutting-edge AI and ML technologies to solve complex forecasting challenges and drive innovation in automotive market intelligence. Lead the development and implementation of advanced analytical models (pricing, demand, specifications), enhancing your expertise and contributing significantly to the product's value. Directly influence forecasts provided to market-leading clients in the automotive sector, gaining exposure to their critical data and business challenges. Benefit from a collaborative environment with opportunities to mentor talent, fostering both your technical leadership and the growth of the team. Responsibilities: Advanced Pricing Analytics: Develop and implement machine learning models to analyse vehicle and powertrain pricing trends, predicting future price points with high accuracy. Create sophisticated algorithms to assess the impact of various factors (e.g., market conditions, competitor pricing, etc.) on vehicle pricing. Refine our forecast system to incorporate these advanced pricing analytics, enhancing the overall forecast precision considering price elasticity. Forecasting Modeling: Improve the performance of current machine learning models (XGBoost) Develop and optimize algorithms for predicting vehicle demand based on historical data, market trends, and pricing information. Develop algorithms for predicting vehicle specifications, like dimension or mass. GenAI and LLM Exploration: Investigate and implement LLMs for efficient data collecting from diverse sources, improving the breadth and depth of our data collection Develop solutions for better mapping, filling, and structuring our data with source information, ensuring data integrity and consistency, ultimately streamlining our data acquisition and analysis processes. Collaboration & Mentorship: Collaborate closely with product teams, business stakeholders, ML Engineers, and Data Engineers to ensure smooth integration of models into production systems. Mentor talent ML Engineer and Data Engineer in fostering their professional growth and development. Communication: Communicate complex technical concepts to non-technical stakeholders. Contribute to the documentation of ML models and processes. What We’re Looking For: Master’s in Data Science, Computer Science, Statistics, or a related field. Minimum 7+ years of professional experience in data science, with a proven track record of developing and deploying machine learning models. Strong proficiency in Python and relevant machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Hands-on experience with Generative AI and Large Language Models (LLMs), including data collection, text analysis, and information retrieval. Experience with cloud platforms (e.g., AWS, Azure, GCP) and data engineering tools Strong communication and collaboration skills. Experience in the automotive sector is a plus. About Company Statement: S&P Global delivers essential intelligence that powers decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape. S&P Global Mobility turns invaluable insights captured from automotive data to help our clients understand today’s market, reach more customers, and shape the future of automotive mobility. About S&P Global Mobility At S&P Global Mobility, we provide invaluable insights derived from unmatched automotive data, enabling our customers to anticipate change and make decisions with conviction. Our expertise helps them to optimize their businesses, reach the right consumers, and shape the future of mobility. We open the door to automotive innovation, revealing the buying patterns of today and helping customers plan for the emerging technologies of tomorrow. For more information, visit www.spglobal.com/mobility. 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. - 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), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 314773 Posted On: 2025-05-13 Location: Gurgaon, Haryana, India

Job Title - Data Scientist and Analytics Level 9:Consultant Ind & Func AI Decision Science Consultant S&C Management Level:09 - Consultant Location Bangalore/Gurgaon/Hyderabad/Mumbai Must have skills: Technical (Python, SQL, ML and AI), Functional (Data Scientist and B2B Analytics preferably in Telco and S&P industries) Good to have skills GEN AI, Agentic AI, cloud (AWS/Azure, GCP) Job Summary : About Global Network Data & AI:- Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition About Comms & Media practice: The Accenture Center for Data and Insights (CDI) team helps businesses integrate data and AI into their operations to drive innovation and business growth by designing and implementing data strategies, generating actionable insights from data, and enabling clients to make informed decisions. In CDI, we leverage AI (predictive + generative), analytics, and automation to build innovative and practical solutions, tools and capabilities. The team is also working on building and socializing a Marketplace to democratize data and AI solutions within Accenture and for clients. Globally, CDI practice works across industry to develop value growth strategies for its clients and infuse AI & GenAI to help deliver top their business imperatives i.e., revenue growth & cost reduction. From multi-year Data & AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices. Roles & Responsibilities: Experienced in Analytics in B2B domain. Responsible to help the clients with designing & delivering AI/ML solutions. He/she should be strong in Telco and S&P domain, AI fundamentals and should have good hands-on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL. Data manipulation and aggregation using Python. Propensity modeling using various ML algorithms. Text mining using NLP/AI techniques Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client. Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem. Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project. Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues. Partner with clients to understand end clients' business goals, marketing objectives, and competitive constraints. Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders. Professional & Technical Skills: Overall 8 years of experience in Data Science B.Tech Engineering from Tier 1 school or Msc in Statistics/Data Science from a Tier 1/Tier 2 Demonstrated experience in solving real-world data problems through Data & AI Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Execution level understanding of econometric/statistical modeling packages Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling. Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc. Knowledge of Deep learning modeling techniques like RNN, CNN etc. Experience using digital & statistical modeling software Python (must), R, PySpark, SQL (must), BigQuery, Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc. Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Strong analytical, problem-solving skills and good communication skills Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members. Execution knowledge of optimization techniques is a good-to-have Exact optimization Linear, Non-linear optimization techniques Evolutionary optimization Both population and search-based algorithms Cloud platform Certification, experience in Computer Vision are good-to-haves Qualifications Experience: B.Tech Engineering from Tier 1 school or Msc in Statistics/Data Science from a Tier 1/Tier 2 Educational Qualification: B.tech or MSC in Statistics and Data Science

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. We’re looking for a talented Research Data Scientist who expects more from their career You will be at the forefront of dunnhumby’s research data science team where you will be translating a complex business problem into a data science problem and solving that with scalable and state-of-the art AI algorithms. Joining our research data science team, you will be helping identify new opportunities within the Data Science space for future dunnhumby solutions. Learn from experts and grow your career in our organisation What We Expect From You Degree or equivalent in a statistical or mathematical subject. 2-5 Years of experience in Data Science Good understanding of statistics and mathematical methodologies used – especially forecasting, regression, linear models, time series, hypothesis tests and optimisation Ability to prototype solutions using Python and Spark to facilitate development and testing of algorithms on large data sets Good understanding of machine learning techniques, with applications to classification, prediction and clustering Ability to apply and extend experimental design methodology to conduct rigorous measurement of treatment effects Good working knowledge of databases, including SQL, relational and non-relational data models Experience of using following algorithm at scale: Ancova, linear models with regularization, clustering, random forests, xgboost Research the latest machine learning approaches Good grasp of Object-Oriented Programming Ability to quickly learn open-source statistics and machine learning packages – Pandas, SciPy, Scikit - learning, Tensor flow. What You Can Expect From Us We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. For an informal and confidential chat please contact stephanie.winson@dunnhumby.com to discuss how we can meet your needs. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

Job Summary We are looking for a highly skilled Lead AI/ML Engineer with 6+ years of hands-on experience in designing, deploying, and scaling AI/ML and Generative AI solutions. The ideal candidate will lead technical efforts across a wide spectrum of AI technologies—including large language models (LLMs), computer vision, machine learning, and data science—to solve high-impact business problems. This is a technical leadership role that involves mentoring team members, shaping architecture decisions, and driving end-to-end AI solution delivery across cloud-based environments. Key Responsibilities Leadership & Strategy Drive the technical vision and roadmap for AI/ML and Generative AI initiatives.Lead and mentor a team of AI/ML engineers and data scientists, conducting regular code reviews and guiding solution architecture.Collaborate with cross-functional stakeholders to translate business problems into scalable AI/ML solutions.Own the AI/ML lifecycle—from prototyping and experimentation to production deployment and monitoring. Generative AI & LLMs Architect and lead the development of scalable Generative AI solutions using AWS Cloud and modern frameworks.Deep experience in working with large language models (LLMs) including fine-tuning, evaluation, and deployment.Expertise in prompt engineering, agentic workflows, and custom LLM development.Proficient with Langchain, Langgraph, Langfuse, Crew AI, and other GenAI frameworks.Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise applications. Machine Learning & Data Science Solve complex machine learning problems using supervised, unsupervised, and deep learning methods.Lead the implementation of ML pipelines including automated data preprocessing, training, validation, and monitoring.Manage ML lifecycle using AWS SageMaker, including model versioning, drift detection, and retraining strategies.Apply advanced analytics, time series forecasting, and predictive modeling techniques. Computer Vision Design and deploy advanced computer vision models for tasks such as classification, object detection, segmentation, and image captioning. Skills & Qualifications 6+ years of experience in AI/ML, with at least 3 years in Generative AI and LLMs.Strong proficiency in Python and ML libraries such as Scikit-learn, XGBoost, LightGBM, CatBoost.Deep understanding of LLMs including OpenAI (GPT-4, GPT-4o), Claude, Gemini, LLaMa, DeepSeek, etc.Proficiency with GenAI tooling: Langchain, Langfuse, Crew AI, LLAMA Index, Langgraph, etc.Experience working with vector databases (Pinecone, FAISS, OpenSearch, Chroma) and indexing strategies.Hands-on with deep learning frameworks such as PyTorch and TensorFlow.Strong experience with AWS services: SageMaker, Bedrock, DynamoDB, S3, Lambda, etc.Proficiency in REST API development using FastAPI, Uvicorn, Flask, Docker, and related tools.Strong database knowledge—both SQL (PostgreSQL) and NoSQL (DynamoDB).Familiarity with caching systems like Redis and Memcached.Strong communication skills and ability to lead discussions with both technical and non-technical stakeholders. Preferred Experience in leading enterprise-scale AI/ML deployments.Contributions to open-source GenAI/ML projects.Certifications in AWS AI/ML or equivalent.

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world's most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. We're looking for a talented Research Data Scientist who expects more from their career You will be at the forefront of dunnhumby's research data science team where you will be translating a complex business problem into a data science problem and solving that with scalable and state-of-the art AI algorithms. Joining our research data science team, you will be helping identify new opportunities within the Data Science space for future dunnhumby solutions. Learn from experts and grow your career in our organisation What we expect from you Degree or equivalent in a statistical or mathematical subject. 2-5 Years of experience in Data Science Good understanding of statistics and mathematical methodologies used – especially forecasting, regression, linear models, time series, hypothesis tests and optimisation Ability to prototype solutions using Python and Spark to facilitate development and testing of algorithms on large data sets Good understanding of machine learning techniques, with applications to classification, prediction and clustering Ability to apply and extend experimental design methodology to conduct rigorous measurement of treatment effects Good working knowledge of databases, including SQL, relational and non-relational data models Experience of using following algorithm at scale: Ancova, linear models with regularization, clustering, random forests, xgboost Research the latest machine learning approaches Good grasp of Object-Oriented Programming Ability to quickly learn open-source statistics and machine learning packages – Pandas, SciPy, Scikit - learning, Tensor flow. What you can expect from us We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don't just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. For an informal and confidential chat please contact stephanie.winson@dunnhumby.com to discuss how we can meet your needs. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

Description And Requirements CareerArc Code CA-PS Hybrid "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! The DSOM product line includes BMC’s industry-leading Digital Services and Operation Management products. We have many interesting SaaS products, in the fields of: Predictive IT service management, Automatic discovery of inventories, intelligent operations management, and more! We continuously grow by adding and implementing the most cutting-edge technologies and investing in Innovation! Our team is a global and versatile group of professionals, and we LOVE to hear our employees’ innovative ideas. So, if Innovation is close to your heart – this is the place for you! BMC is looking for an experienced Data Science Engineer with hands-on experience with Classical ML, Deep Learning Networks and Large Language Models, knowledge to join us and design, develop, and implement microservice based edge applications, using the latest technologies. In this role, you will be responsible for End-to-end design and execution of BMC Data Science tasks, while acting as a focal point and expert for our data science activities. You will research and interpret business needs, develop predictive models, and deploy completed solutions. You will provide expertise and recommendations for plans, programs, advance analysis, strategies, and policies. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Ideate, design, implement and maintain enterprise business software platform for edge and cloud, with a focus on Machine Learning and Generative AI Capabilities, using mainly Python Work with a globally distributed development team to perform requirements analysis, write design documents, design, develop and test software development projects. Understand real world deployment and usage scenarios from customers and product managers and translate them to AI/ML features that drive value of the product. Work closely with product managers and architects to understand requirements, present options, and design solutions. Work closely with customers and partners to analyze time-series data and suggest the right approaches to drive adoption. Analyze and clearly communicate both verbally and in written form the status of projects or issues along with risks and options to the stakeholders. To ensure you’re set up for success, you will bring the following skillset & experience: You have 8+ years of hands-on experience in data science or machine learning roles. You have experience working with sensor data, time-series analysis, predictive maintenance, anomaly detection, or similar IoT-specific domains. You have strong understanding of the entire ML lifecycle: data collection, preprocessing, model training, deployment, monitoring, and continuous improvement. You have proven experience designing and deploying AI/ML models in real-world IoT or edge computing environments. You have strong knowledge of machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost). Whilst these are nice to have, our team can help you develop in the following skills: Experience with digital twins, real-time analytics, or streaming data systems.Contribution to open-source ML/AI/IoT projects or relevant publications.Experience with Agile development methodology and best practice in unit testinExperience with Kubernetes (kubectl, helm) will be an advantage. Experience with cloud platforms (AWS, Azure, GCP) and tools for ML deployment (SageMaker, Vertex AI, MLflow, etc.). Our commitment to you! BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page. < Back to search results BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 8,047,800 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices. (Returnship@BMC) Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply. Min salary 6,035,850 Mid point salary 8,047,800 Max salary 10,059,750

Role & responsibilities We are seeking an experienced and technically strong Machine Learning Engineer to design, implement, and operationalize ML models across Google Cloud Platform (GCP) and Microsoft Azure. The ideal candidate will have a robust foundation in machine learning algorithms, MLOps practices, and experience deploying models into scalable cloud environments. Responsibilities: Design, develop, and deploy machine learning solutions for use cases in prediction, classification, recommendation, NLP, and time series forecasting. Translate data science prototypes into production-grade, scalable models and pipelines. Implement and manage end-to-end ML pipelines using: Azure ML (Designer, SDK, Pipelines), Data Factory, and Azure Databricks Vertex AI (Pipelines, Workbench), BigQuery ML, and Dataflow Build and maintain robust MLOps workflows for versioning, retraining, monitoring, and CI/CD using tools like MLflow, Azure DevOps, and GCP Cloud Build. Optimize model performance and inference using techniques like hyperparameter tuning, feature selection, model ensembling, and model distillation. Use and maintain model registries, feature stores, and ensure reproducibility and governance. Collaborate with cloud architects, and software engineers to deliver ML-based solutions. Maintain and monitor model performance in production using Azure Monitor, Prometheus, Vertex AI Model Monitoring, etc. Document ML workflows, APIs, and system design for reusability and scalability. Primary Skills required (Must Have Expereince): 5 -7 years of experience in machine learning engineering or applied ML roles. Advanced proficiency in Python, with strong knowledge of libraries such as Scikit-learn, Pandas, NumPy, XGBoost, LightGBM, TensorFlow, PyTorch. Solid understanding of core ML concepts: supervised/unsupervised learning, cross-validation, bias-variance tradeoff, evaluation metrics (ROC-AUC, F1, MSE, etc.). Hands-on experience deploying ML models using: Azure ML (Endpoints, SDK), AKS, ACI Vertex AI (Endpoints, Workbench), Cloud Run, GKE Familiarity with cloud-native tools for storage, compute, and orchestration: Azure Blob Storage, ADLS Gen2, Azure Functions GCP Storage, BigQuery, Cloud Functions Experience with containerization and orchestration (Docker, Kubernetes, Helm). Strong understanding of CI/CD for ML, model testing, reproducibility, and rollback strategies. Experience implementing drift detection, model explainability (SHAP, LIME), and responsible AI practices.

Skills: Python, TensorFlow, PyTorch, Scikit-learn, NLP, Pandas, NumPy, Data Visualization, About Us We are a growing tech company based in Ahmedabad, building AI-powered enterprise applications for the BFSI sector, government bodies, and e-Auction and ProcureToPay domains. Our platforms include eAuction, FinTech Applications, and procurement automationpowered by cutting-edge AI technologies. Requirements Final year student / recent graduate (Computer Science, IT, Data Science, etc.)Solid foundation in Python programmingAcademic or personal project experience in any ML framework (XGBoost preferred)Familiar with or eager to learn:Vector Databases (FAISS, Weaviate)LangChain / RAG frameworkScrapy or web scraping toolsPandas, Numpy, Scikit-learn, Transformers Nice to Have Exposure to OpenAI API, HuggingFace, or LLM-based projectsInterest in Finanance / eAuction / Procure To Pay / e-Governance domainsGit or version control understanding What We Offer Chance to work upon the Live AI projectsPerformance-based full-time opportunity after internshipA collaborative, growth-focused work culture

Salary : 20 to 35 LPA Exp: 3 to 10 years Location :Bangalore/Pune/Gurugram (Hydrid) Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) PD/LGD model development Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Text classification using any of the following : decision trees, knn classification, support vector machines or LDA Exp on SQL would be a plus

Exp - 6- 10 Years Level - Senior Consultant Skill - ML OPS with Gen AI Location - Bengaluru Event on 9th May in Bangalore location Hybrid Mode (2 days WFO in a week) Education - B.Tech/B.E/MS/MBA ML OPs Engineer Required: 6-10 years of Consulting, Data, and Analytics experience Experience in descriptive & predictive analytics, both theoretical and practical knowledge in basic ML algorithms like linear and non-linear regression, linear and non-linear classification, dimensional reduction, anomaly detection, statistical concepts and techniques like theoretical distributions, parametric and non-parametric inference 6+ years of experience implementing & executing data science projects throughout the entire lifecycle: Developing/designing and implementing solutions E2E in production. Strong knowledge of Python or R Programming experience with Node.js, SQL, Java, JavaScript OR PERL Experience in cloud-based data platforms on AWS, GCP and Azure Understanding of multi-tier application architectures Ability to develop, test and maintain programming environments and architectural standards Foundational understanding of application development lifecycle and using tools like ANT, Maven, Gradle and Version control (SVN OR GIT OR BitBucket) Experience with working in an agile development lifecycle and continuous integration processes using tools such as Jenkins Experience in doing deployments for Java, .NET , Angular , Node.js , PHP, Python applications using Jenkins/Bamboo Experience on code quality assessment tools and integration with CI tool Strong logical structuring and problem-solving skills Strong verbal, written and presentation skills Preferred Additional Experience in using Spark either with Scala or Python Experience with different database types like RDS and NoSQL Experience in cloud deployments Knowledge of working in a Linux environment Strong understanding and experience configuring, managing and supporting applications using tools such as OpsWorks, Datadog and CloudWatch on AWS Experience in Docker /Swarm / Kubernetes Experience or exposure to Test Driven Development Experience (Junit / TestNG) Experience on Behavior Driven Development Experience (Cucumber / Selenium) Expertise in any commercial data visualization tool such as Tableau, Qlik, Power BI Experience with real time data movement solutions that use security and encryption protocols while data is in transit

Management Level :07- I&F Decision Sci Practitioner Manager Location :Mumbai Must-have skills :Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, QlikView, PowerBI, SAS VA, Regulatory Knowledge:Basel/CCAR/DFAST/CECL/IFRS9, Risk Reporting and Dashboard Solutions Good to have skills :Advanced Data Science Techniques, AML, Operational Risk Modelling, Cloud Platform Experience (AWS/Azure/GCP), Machine Learning Interpretability and Bias Algorithms Job Summary We are seeking a highly skilled I&F Decision Sci Practitioner Manager to join the Accenture Strategy & Consulting team in the Global Network – Data & AI practice. You will be responsible for leading risk model development, validation, and auditing activities, ensuring performance evaluation, monitoring, governance, and documentation. This role also provides opportunities to work with top financial clients globally, utilizing cutting-edge technologies to drive business capabilities and foster innovation. Roles & Responsibilities: Engagement Execution Lead the team in the development, validation, governance, strategy, transformation, implementation, and end-to-end delivery of risk solutions for clients. Manage workstreams for large and small projects, overseeing the quality of deliverables for junior team members. Develop and frame Proof of Concept for key clients where applicable. Practice Enablement Mentor, guide, and counsel analysts and consultants. Support the development of the practice by driving innovations and initiatives. Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral. Professional & Technical Skills: 7-12 years of relevant Risk Analytics experience at one or more Financial Services firms or Professional Services / Risk Advisory with significant exposure to: Credit Risk :PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting, Revenue Forecasting Models, IFRS9/CECL Loss Forecasting across Retail and Commercial portfolios. Credit Acquisition/Behavior :Modeling, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios. Regulatory Capital and Economic Capital Models Liquidity Risk :Liquidity Models, Stress Testing Models, Basel Liquidity Reporting Standards Anti-Money Laundering (AML) :AML Scenarios/Alerts, Network Analysis Operational Risk :AMA Modeling, Operational Risk Reporting Modeling Techniques :Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time Series (ARMA/ARIMA), ML Interpretability and Bias Algorithms Programming Languages & Tools :SAS, R, Python, Spark, Scala, Tableau, QlikView, PowerBI, SAS VA Strong understanding of Risk functions and their application in client discussions and project implementation. Additional Information: Master's Degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities Industry Certifications :FRM, PRM, CFA preferred Excellent Communication and Interpersonal Skills About Our Company | Accenture Qualification Experience :Minimum 7-12 years of relevant Risk Analytics experience, Exposure to Financial Services firms or Professional Services/Risk Advisory Educational Qualification :Master’s degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities, Industry certifications such as FRM, PRM, CFA preferred

Basic Information Country: India State: Maharashtra City: Pune Date Published: 05-May-2025 Job ID: 44647 Travel: You may occasionally be required to travel for business Secondary locations: IND Bangalore - Prestige Summit Looking for details about our benefits? You can learn more about them by clicking HERE Description and Requirements CareerArc Code CA-PS #LI-PS1 Hybrid: #LI-Hybrid "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! The DSOM product line includes BMC’s industry-leading Digital Services and Operation Management products. We have many interesting SaaS products, in the fields of: Predictive IT service management, Automatic discovery of inventories, intelligent operations management, and more! We continuously grow by adding and implementing the most cutting-edge technologies and investing in Innovation! Our team is a global and versatile group of professionals, and we LOVE to hear our employees’ innovative ideas. So, if Innovation is close to your heart – this is the place for you! BMC is looking for an experienced Data Science Engineer with hands-on experience with Classical ML, Deep Learning Networks and Large Language Models, knowledge to join us and design, develop, and implement microservice based edge applications, using the latest technologies. In this role, you will be responsible for End-to-end design and execution of BMC Data Science tasks, while acting as a focal point and expert for our data science activities. You will research and interpret business needs, develop predictive models, and deploy completed solutions. You will provide expertise and recommendations for plans, programs, advance analysis, strategies, and policies. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Ideate, design, implement and maintain enterprise business software platform for edge and cloud, with a focus on Machine Learning and Generative AI Capabilities, using mainly Python Work with a globally distributed development team to perform requirements analysis, write design documents, design, develop and test software development projects. Understand real world deployment and usage scenarios from customers and product managers and translate them to AI/ML features that drive value of the product. Work closely with product managers and architects to understand requirements, present options, and design solutions. Work closely with customers and partners to analyze time-series data and suggest the right approaches to drive adoption. Analyze and clearly communicate both verbally and in written form the status of projects or issues along with risks and options to the stakeholders. To ensure you’re set up for success, you will bring the following skillset & experience: You have 8+ years of hands-on experience in data science or machine learning roles. You have experience working with sensor data, time-series analysis, predictive maintenance, anomaly detection, or similar IoT-specific domains. You have strong understanding of the entire ML lifecycle: data collection, preprocessing, model training, deployment, monitoring, and continuous improvement. You have proven experience designing and deploying AI/ML models in real-world IoT or edge computing environments. You have strong knowledge of machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost). Whilst these are nice to have, our team can help you develop in the following skills: Experience with digital twins, real-time analytics, or streaming data systems. Contribution to open-source ML/AI/IoT projects or relevant publications. Experience with Agile development methodology and best practice in unit testin Experience with Kubernetes (kubectl, helm) will be an advantage. Experience with cloud platforms (AWS, Azure, GCP) and tools for ML deployment (SageMaker, Vertex AI, MLflow, etc.). Our commitment to you! BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page.