2726 Data Science Jobs - Page 27

JOB SUMMARY This position creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects. RESPONSIBILITIES Defines key data sources from UPS and external sources to deliver models. Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems. For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs. Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives. Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling. Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders. Presents operationalized analytic findings and provides recommendations. Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions. QUALIFICATIONS Requirements: Ability to take a data science problem from start to finish, use pytorch/tensorflow to build the full model product. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Expertise with statistical techniques, machine learning or operations research and their application in business applications. Expertise in R, SQL, Python. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production at scale. Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows. Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Masters Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Preferences: Familiarity with Java or C++

Understand business objectives and translate them into data and machine learning requirements Identify what data is needed to support specific AI use cases and assess its availability, quality and structure Explore and profile data from various sources to evaluate its suitability and uncover biases, gaps or integration challenges Visualising data and analytical results using tools such as Power BI, with the ability to create insightful dashboards for both technical and non-technical audiences. Collaborate with data owners and engineers to locate, access and prepare data for experimentation and model development Work closely with product teams to define success metrics and ensure data can support reliable measurement and evaluation Support the design of data flows and contribute to ingestion and preparation strategies that align with modelling needs Translate insights from data exploration and model experimentation into clear actionable recommendations Contribute to best practices related to data validation, model documentation and governance of analytical workflows Collaborate with ML engineers and AI architects to assess modelling options and design evaluation strategies Stay up to date with developments in AI and machine learning and actively share insights with the wider team Qualification Your starting point for constant growth From the moment you join Ramboll, we will support your personal and professional development so that you grow with the company. For this role, we believe your starting point is: A master’s degree in data science, computer science, statistics, applied mathematics or a related field Strong experience in applied data science or machine learning, with an emphasis on data readiness and problem framing Proficiency in Python and experience with common data science libraries (e.g., pandas, scikit-learn, TensorFlow or PyTorch) Demonstrated ability to explore, profile and assess complex data sets to determine their value for ML solutions Experience working with business stakeholders to translate objectives into data needs and analytic plans Understanding of how data flows from source systems into models, and experience partnering with data engineers to build effective pipelines Excellent communication skills, with the ability to explain and visualize data-related concepts to non-technical audiences Fluency in English Additional Information We offer: Competitive salary and benefits package. Opportunities for professional growth and development. Flexible work environment and work-life balance. A multi-cultural work environment Personal qualities that will help you succeed in this role include: Ability to collect and analyse data, establish facts and make recommendations in written and verbal form. Ability to explain and translate complex, technical IT requirements into material understandable for non-IT staff. Ability to liaise with all parts of an organisation, including IT and business stakeholders. Open-minded and helpful and, finally, a good portion of self-awareness and humour.

Job Description: Data Science Trainer Position: Data Science Trainer Experience: 1.5+ years as a Data Science Trainer (or in a teaching/mentoring role in Data Science) Qualification: Bachelors/Masters in Data Science, Computer Science, Statistics, Mathematics, or related fields (or equivalent industry experience) Job Description: Data Science Trainer Excellent communication, presentation, and problem-solving skills. Certification in Data Science/AI/ML (preferred but not mandatory). Preferred Skills: Experience with Big Data tools (Hadoop, Spark, SQL databases). Familiarity with ML deployment (Flask, FastAPI, Docker). Knowledge of Generative AI (LLMs like ChatGPT, LangChain, RAG). Job Summary: We are looking for a passionate Data Science Trainer with 1.5+ years of training experience to educate students/professionals in Python, Machine Learning, Statistics, and Data Analysis. The ideal candidate should have strong technical expertise and the ability to simplify complex concepts for learners. Key Responsibilities: Deliver training sessions (online/offline) on Data Science, ML, and AI concepts. Teach Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, and Data Visualization (Matplotlib, Seaborn, Tableau, Power BI). Cover Statistics, EDA, Regression, Classification, Clustering, NLP, and Deep Learning basics. Develop hands-on exercises, real-world projects, and case studies. Guide students on data preprocessing, model building, and deployment. Stay updated with latest trends in AI/ML (LLMs, GenAI, AutoML, etc.). Assess learners through assignments, quizzes, and capstone projects. Assist in updating curriculum with industry-relevant tools & techniques. Required Skills & Qualifications: 1.5+ years as a Data Science Trainer (or in teaching/mentoring roles). Strong expertise in: Python, SQL, and Data Science libraries (Pandas, NumPy, Scikit-learn). Machine Learning (Supervised & Unsupervised Learning). Data Visualization (Matplotlib, Seaborn, Tableau, Power BI). Knowledge of Deep Learning (TensorFlow/Keras/PyTorch) & NLP (optional but preferred). Experience with Jupyter Notebooks, Google Colab, and cloud platforms (AWS/GCP/Azure).

Job OverviewBranch launched in India in 2019 and has since seen rapid adoption and growth. To meet the demands of a scaling company, we are seeking a highly strategic, experienced Head of Product for the India business who will work closely with Branchs CPO, CTO, India Leadership Team, and global engineering team to deliver a world-class product.Responsibilities1. Product Leadership and Strategy:Set vision & strategy for the India product and evangelize it effectively across the entire companyCollaborate with stakeholders across Engineering, Data Science, Finance, Credit, and Operations to define an India product roadmapResearch and ideate new avenues for growth and new products that could help our customersStay informed of industry trends and regulations2. Team Management:Manage the India Product Team, which includes Product Management, User Research, and DesignRecruit and train new Product Team members to build a high-performing teamMentor team in professional growth at Branch and foster a culture of innovation and learning3. Execution and DeliveryDefine and monitor key product metricsReview, edit, and approve team OKRs, PRDs, status reports, roadmaps, and feature designsImplement robust QA and release processes to ensure a quality product for our customersQualificationsYou have 10 to 20 years of total experience with a proven track record in a leadership role within a product team, and at least 5+ years in financial services. .You see the big picture and know what levers to pull to achieve company goals. You have a great nose for value and understand what drives metrics and financial performanceYou are a strong communicator who knows how to tell a compelling story and lay out a vision for the product. You have excellent written and verbal skills and can frame problems and potential solutions clearly and logicallyYou know that startups are a team sport. You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacherYou are resourceful. Youve worked on lean teams that have had a big impact. You are not afraid of big challenges and do whatever it takes to get the job done

Job OverviewBranch launched in India in 2019 and has since seen rapid adoption and growth. To meet the demands of a scaling company, we are seeking a highly strategic, experienced Head of Product for the India business who will work closely with Branch’s CPO, CTO, India Leadership Team, and global engineering team to deliver a world-class product.Responsibilities1. Product Leadership and Strategy:Set vision & strategy for the India product and evangelize it effectively across the entire companyCollaborate with stakeholders across Engineering, Data Science, Finance, Credit, and Operations to define an India product roadmapResearch and ideate new avenues for growth and new products that could help our customersStay informed of industry trends and regulations2. Team Management:Manage the India Product Team, which includes Product Management, User Research, and DesignRecruit and train new Product Team members to build a high-performing teamMentor team in professional growth at Branch and foster a culture of innovation and learning3. Execution and DeliveryDefine and monitor key product metricsReview, edit, and approve team OKRs, PRDs, status reports, roadmaps, and feature designsImplement robust QA and release processes to ensure a quality product for our customersQualificationsYou have 10 to 20 years of total experience with a proven track record in a leadership role within a product team, and at least 5+ years in financial services. .You see the big picture and know what levers to pull to achieve company goals. You have a great nose for value and understand what drives metrics and financial performanceYou are a strong communicator who knows how to tell a compelling story and lay out a vision for the product. You have excellent written and verbal skills and can frame problems and potential solutions clearly and logicallyYou know that startups are a team sport. You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacherYou are resourceful. You’ve worked on lean teams that have had a big impact. You are not afraid of big challenges and do whatever it takes to get the job done

Job Summary This position provides leadership in the design, development and implementation of complex algorithms and advanced analytics models and solutions to yield predictive and prescriptive insights from large volume of structured and unstructured data. This position uses knowledge and expertise in analytical approaches and advanced computing methods to evaluate, estimate and run models that drive insights and empowers confidence in business decisions. This position operates and leads within a highly collaborative environment of fellow data scientists, data engineers, domain business and data leaders during every phase of the advanced analytics activities and tasks. This position guides and influences department and project teams in identifying and managing data and model management challenges and risks by facilitating collaboration with various stakeholders. This position may supervise people within the department. Responsibilities Engages and collaborates with business leaders across the organization to help assess business needs and define research questions. Develops hypotheses, approaches (i.e., analytic plans and model development process), models, and solutions to solve problems and increase profitability. Builds models and tools using technical knowledge in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques. Examines the business reality behind large sets of data and develops the appropriate method and direction to derive meaningful insights and deliver data solutions to business problems. Creates innovative procedures by adapting emerging tools and technologies to new modeling techniques and procedures. Improves upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters using Cloud-AI technologies. Communicates with business customers and the leadership team, who have various levels of technical knowledge, and educates them about our systems, insights, and recommendations that can inform business strategies. Develops strategy to monitor model and system performance/integrity and supports the analysis and integration of tools and methods to provide desired optimal results from models. Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Acts as a project manager (as needed) of an analytics project and/or teams, responsible for the planning, procurement, quality control and execution of all components and resources needed to support the execution of data and analytics project Serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Qualifications : Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Extensive experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Strong proficiency in data management pipelines involving data extraction, analysis and transformation using either data querying languages (SQL,NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS). Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms. Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (Supervised, Unsupervised, Deep Learning, NLP, Neural Networks, Graphs) Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams as well business audiences. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Proven ability to convey rigorous technical concepts and considerations to non-experts, as well as strong analytical skills, attention to detail. Masters degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.

Designation - Sr. Consultant Experience in any two of the following programming languages: Python, Java, R, or .Net Proficiency in at least one database technology such as SQL, MongoDB, etc. Hands-on experience with AI stacks, including: PyTorch, TensorFlow, NVIDIA NeMo/NIM, Unsloth Agentic AI frameworks like LangGraph, MS AI Foundry Hugging Face, ChromaDB, FAISS, etc. Experience with MLOps and AI deployment infrastructure Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Knowledge of responsible AI practices, including bias mitigation and ethical AI usage

Role : Data Scientist Experience: 610 Years Salary : 35 L Upto Location : Bangalore Notice Period: 30 Days max ( Immediate Joiners Preferred ) Note : We are Open for both Contract or FTE Job Description: We are seeking a Data Scientist with strong experience in natural language processing and generative AI to build intelligent systems that extract information from PDFs, power chatbots, and implement retrieval-augmented generation (RAG) solutions. The ideal candidate should have a solid foundation in machine learning, experience working with unstructured text data. Key Responsibilities: Design and implement pipelines for extracting structured data from PDF documents using tools like PyMuPDF, PDFPlumber, or OCR libraries. Develop and fine-tune RAG pipelines combining vector databases (e.g., FAISS, Chroma) with LLMs for document-based question answering. Build and optimize conversational agents (chatbots) that use domain-specific data and generative AI models. Train and evaluate machine learning and NLP models for classification, entity extraction, summarization, etc. Collaborate with engineering and product teams to integrate AI capabilities into production systems. Monitor model performance and continually improve accuracy and relevance of generated responses. Requirements: Strong Python skills and experience with libraries like Hugging Face Transformers, LangChain, or LlamaIndex. Strong knowledge of ABC cloud tools (AWS or Azure) Familiarity with vector databases and embedding models (OpenAI, Cohere, SentenceTransformers). Experience with PDF data extraction techniques and tools. Solid understanding of supervised/unsupervised ML, deep learning, and NLP techniques. Experience working with LLMs and knowledge of prompt engineering and fine-tuning. Bachelors or Masters degree in Computer Science, Data Science, or a related field.

Role & Responsibilities: Smart maintenance using Databricks and large language models (LLMs) Deploying models (ML or LLM) outside Cognite and consuming them through Cognite API . Understanding of supervised and unsupervised learning algorithms (e.g., regression, classification, clustering) Building conversational agents using LLMs and ML workflows Techniques for model evaluation (e.g., cross-validation, A/B testing) Databricks integrate with Azure services such as Azure Data Lake and Azure Blob Storage . Using Azure, AWS, or Google Cloud for data storage, processing, and deployment. Integrate data from different sources. Preferred: Relevant experience 4+ years of experience in data science or a related field. Experience with deep learning and neural networks , particularly for LLMs. Expertise in natural language processing (NLP) techniques for text processing, sentiment analysis, and language generation. Experience working with models like GPT and BERT. Experience with JSON, REST APIs, and Data Modeling . Strong knowledge of Python, SQL, and Spark for data transformation and writing code in notebooks for data manipulation and analysis. Experience with ETL processes. Ability to integrate data from different sources.

About The Role Grade M1 to M3 Reports to: Head Analytics Is a Team leader? No Team Size: -- Role Business Analyst/Sr Business Analyst Business: Not Applicable Department: Analytics Sub-Department Not Applicable Location: Mumbai Role We are seeking a highly analytical and detail-oriented individual to join our team as a Data Analysis and Insights Specialist. In this role, you will be responsible for analyzing complex datasets, extracting meaningful insights, and proposing actionable recommendations to optimize processes and decision-making. Your ability to conduct thorough cost-benefit analyses and effectively communicate findings to stakeholders will be crucial in driving informed business strategies Key Responsibilities Data Analysis & Insights Generation Utilize statistical techniques to interpret data, identify trends, and uncover insights that drive operational efficiencies and strategic decision-making Derive actionable insights from data analysis to address business challenges, improve performance, and capitalize on opportunities Cost-Benefit Analysis Conduct comprehensive cost-benefit analyses to evaluate proposed solutions and ensure alignment with organizational objectives and financial goals Develop well-supported recommendations based on data-driven insights and cost-benefit assessments, ensuring clarity and feasibility Continuous Improvement Stay updated with industry trends, best practices, and evolving analytical techniques to enhance data analysis capabilities and contribute to continuous improvement initiatives Stakeholder Communication Present findings, recommendations, and analyses to stakeholders in a clear, concise manner, fostering understanding and buy-in for proposed solutions Qualifications MBA Finance or MBA Business Analytics with up to 2.5 years of relevant experience Role Proficiencies Must Have Skills Ms Excel & Powerpoint Python/SAS & SQL Insight generation Strong Communication & Presentation skills CBA or Impact Analysis Good to have Skills BI tools (Tableau/PowerBI) Cloud Data Analytics solutions (Sagemaker/Azure) Cloud Data warehousing solutions (Redshift/Snowflake)

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

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

Exp with Spark, Flask, SQL, Python, Cloud platform, Machine Learning, Deep Learning & Engineering aspects of ML model deployment, data analysis, mathematics/probability, & statistical analysis. Mail us- info@a1selectors.com

Seeking a Principal Data Engineer with the following skills, an excellent opportunity for top-tier coding experts . Experience with building and maintaining a Lakehouse architecture . Advanced expertise in Python and SQL. Expert in leveraging cloud-based data platform ( Snowflake , Databricks ) capabilities to create an enterprise lake house. Advanced expertise with AWS ecosystem Experience using spark for data ingestion/ processing Key Responsibilities Design, develop and maintain scalable data pipelines and architectures to support data ingestion, integration and analytics. Be accountable for technical delivery and take ownership of solutions. Lead a team of senior and junior developers providing mentorship and guidance. Collaborate with enterprise architects, business analysts and stakeholders to understand data requirements, validate designs and communicate progress. Drive technical innovation within the department to increase code reusability, code quality and developer productivity. Challenge the status quo by bringing the very latest data engineering practices and techniques

Data Scientist with 5+ years of relevant experience in: Python, SQL, NLP, LLM, GenAI, H2O

Greetings from Futurea4! We are looking for a passionate and experienced Senior Data Scientist to drive innovation in the world of Gen AI, NLP, LLMs , and MLOps . Position : Senior Data Scientist Gen AI | NLP | LLM | MLOps Locations : Bangalore | Pune | Noida | Gurgaon | Hyderabad Experience : 6 to15 Years Joiners Preferred : Immediate or Short Notice Key Responsibilities Design and implement advanced NLP and Gen AI models using cutting-edge LLMs (e.g., GPT, LLaMA, Mistral). Fine-tune and customize LLMs through LoRA , PEFT , and prompt engineering techniques. Develop scalable ML pipelines and ensure smooth deployment via MLOps best practices. Translate business challenges into impactful AI-powered solutions . Monitor and improve model performance for accuracy and scalability. Create documentation and foster cross-functional knowledge sharing. Required Skills Strong hands-on experience in Generative AI , NLP , and LLM development (using frameworks like Hugging Face, spaCy, LangChain). Expert knowledge of Python , TensorFlow/PyTorch , and the ML lifecycle. Deep MLOps know-how: CI/CD, model monitoring, versioning, and deployment workflows. Cloud-native development experience (AWS, Azure, or GCP) and container tools ( Docker , Kubernetes ). Experience with large-scale data handling and data engineering principles. Nice to Have Familiarity with RAG pipelines , vector databases , and advanced prompt tuning. Exposure to multi-modal architectures , transformer models , and open-source LLMs . Publications or community involvement in AI research or development. Apply Today If you're eager to build the future of AI and ready to take on exciting challenges, we want to hear from you.

10+ years of strong experience with data transformation ETL on large data sets Experience with designing customer centric datasets (ie, CRM, Call Center, Marketing, Offline, Point of Sale etc) 5+ years of Data Modeling experience (ie, Relational, Dimensional, Columnar, Big Data) 5+ years of complex SQL or NoSQL experience Experience in advanced Data Warehouse concepts Experience in industry ETL tools (ie, Informatica, Unifi) Experience with Business Requirements definition and management, structured analysis, process design, use case documentation Experience with Reporting Technologies (ie, Tableau, PowerBI) Experience in professional software development Demonstrate exceptional organizational skills and ability to multi-task simultaneous different customer projects Strong verbal written communication skills to interface with Sales team lead customers to successful outcome Must be self-managed, proactive and customer focused Degree in Computer Science, Information Systems, Data Science, or related field

This position is for a Senior Data Engineer with solid development experience who will focus on creating new capabilities for AI as a Service while maturing our code base and development processes. In this position, you are first a passionate and talented developer that can work in a dynamic environment as a member of Agile Scrum teams. Your strong technical leadership, problem-solving abilities, coding, testing and debugging skills is just a start. You must be dedicated to filling product backlog and delivering production-ready code. You must be willing to go beyond the routine and prepared to do a little bit of everything. Essential Functions Collaborate with project teams, data science teams and development teams to drive the technical roadmap and guide development and implementation of new data driven business solutions. Drive technical standard and best practices, and continuously improve AI Platform engineering scalability. Architecture and design of AI Platform services including Machine Learning Engines, In Memory Computing Systems, Streaming Computing Systems, Distributed Data Systems and etc, in Golang, Java, and Python. Coordinate the implementation among development teams to ensure system performance, security, scalability and availability. Coaching and mentoring junior team members and evolving team talent pipeline. Basic Qualifications 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications 3 or more years of work experience with a Bachelor s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)

Develop and productionize cloud-based services and full-stack applications utilizing NLP solutions, including GenAI models Implement and manage CI/CD pipelines to ensure efficient and reliable software delivery Automate cloud infrastructure using Terraform Write unit tests, integration tests and performance tests Work in a team environment using agile practices Monitor and optimize application performance and infrastructure costs Collaborate with data scientists and other developers to integrate and deploy data science models into production environments Work closely with cross-functional teams to ensure seamless integration and operation of services Proficiency JavaScript for full-stack development Strong experience with AWS cloud services, including EKS, Lambda, and S3 Knowledge of Docker containers and orchestration tools including Kubernetes

We are looking for an enthusiastic and driven Data Science - AI / ML Intern to join our team. This is a great opportunity for individuals who are passionate about applying data, algorithms, and machine learning to solve real-world problems. You will work on AI/ML research and development projects and collaborate with experienced professionals to grow your skills. Key Responsibilities: Assist in developing and testing machine learning models using Python and popular ML libraries Support AI/ML research, experiments, and proof of concept projects Perform data collection, cleaning, analysis, and visualization Apply statistical techniques and ML algorithms to solve business or research problems Document processes, models, and experiment results Work collaboratively with data scientists, engineers, and product teams Basic Requirements: Proficiency in Python and common ML libraries (eg, scikit-learn, pandas, NumPy) Basic understanding of statistics , machine learning algorithms , and data modeling Exposure to AI/ML projects (academic, personal, or internships) Familiarity with tools like TensorFlow , scikit-learn , or Azure ML Curiosity to explore new methods and use data to solve problems Strong communication and presentation skills Preferred Skills: Experience with Jupyter Notebooks , Google Colab , or cloud-based ML platforms Familiarity with deep learning frameworks (TensorFlow, Keras, PyTorch) Exposure to Azure Machine Learning , MLflow , or MLOps practices Understanding of data pipelines and basic SQL Why Join Us Opportunity to work on innovative AI/ML projects Learn from experienced data scientists and engineers Collaborative and growth-focused environment Potential for full-time employment based on performance

Hi, We have immediate opening for ML Engineer role Exp: 3 to 7 Yrs Location: Hyderabad Notice Period: Immediate to Max 15 Days Skills: Machine learning,AI

Utilize expertise in AI/ML and Data Science to develop and deploy AI models in production environments, ensuring scalability, reliability, and efficiency. Implement and optimize machine learning algorithms, neural networks, and statistical modelling techniques to solve complex problems. Hands-on experience in developing and deploying large language models (LLMs) in production environments, with a good understanding of distributed systems, microservice architecture, and REST APIs. Collaborate with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment. Stay updated with the latest advancements in AI/ML technologies and contribute to the development and improvement of AI frameworks and libraries. Ensure compliance with industry best practices and standards in AI engineering, maintaining high standards of code quality, performance, and security. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Proficiency in Python, C++. Experience with relevant ML libraries (e.g., TensorFlow, PyTorch) for developing production-grade quality products. Expertise in various databases including open-source databases like MongoDB, CouchDB, CockroachDB. Skills in Git, CI/CD pipelines (Jenkins, Travis CI, GitLab CI), and containerization (Docker, Kubernetes). Experience in contributing to open-source AI projects or utilizing open-source AI frameworks. Experience in optimizing AI algorithms for performance and scalability. Preferred technical and professional experience Proven ability to implement and optimize machine learning algorithms, neural networks, and statistical modelling techniques to solve complex problems effectively. Proficiency in distributed systems, microservice architecture, and REST APIs. Experience in collaborating with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment, ensuring seamless integration of AI/ML models into production workflows. Experience in using container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments, ensuring efficient scalability and management of AI infrastructure. Proven ability to contribute to the development and improvement of AI frameworks and libraries. Strong communication skills with the ability to communicate technical concepts effectively to non-technical stakeholders.

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

Deliver AI agents and automated solutions that remove repetitive work performed by the tribe supporting the Corporate Mobile Service Plan (CMSP). Partner with the CMSP team member across the countries, discover and prioritize CMSP processes and procedures to be automated, taking advantage of the vast amounts of data, and delivering on Watsonx. Build the required data models and leverage Watson Orchestrate and Watson Assistant to simplify processes and eliminate tedious tasks. Use both readily available data, such as in the CMSP dashboard, eAMT, Mobile@IBM, IBM Publisher, and other sources to drive faster decision making and increased end user self-service. Innovate, simplify and automate processes to improve the CMSP user experience. Explore the user requests that require intervention, where answers are not in Publisher or in the individuals subscriber account in the CMSP dashboard. Automate the resolution of complex requests. Work includes: Understanding and addressing user and business requirements including technology, integration, security, and privacy Planning, analyzing, designing, and constructing databases in alignment with CIO-TPT strategy Designing, developing, testing, and delivering apps and features using Watsonx.data, Code Assistant, Orchestrate and Assistant; Java; C++; JavaScript; Python; Perl; and SQL, as needed Configuring, testing, deploying, and supporting of code that enables simplified and automated workflows Performing problem determination to address problem root cause and application of preventative measures to prevent or mitigate problem recurrence Identifying opportunity to modernizing applications using state of the art technologies, software project management tools, and methodologies Partnering with colleagues across the CIO organization, such as Identity Services and others to ensure solution design is in alignment with CIO strategies and architectures Partnering with suppliers of CMSP services to deliver a seamless, integrated enterprise mobile offering Keeping up with developments in the AI solutions space and software project management spaces to continue to grow and deepen skills and apply leading future-proof solutions Maintaining consistency with global CMSP standards, including design and content of CMSP country Publisher pages Providing support to, and collaborating with, other CMSP Product Owners globally to maintain alignment Delivering effective technical presentations to stakeholders, including leaders, articulating value, dependencies, business implications to have clarity for non-technical team members Achieving OKRs and KPI parameters, e.g.: enabling cost reduction, maintaining a security-compliant device portfolio, zero or very few stock lines, etc. Performing in alignment with IBM Growth Behaviors Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Skills Requirements: Software Design & Engineering Machine Learning & Data Science Database Systems Data Structures & Visualization Watsonx Code Assistant, Watonx.data, Watsonx Orchstrate, Watsonx Assistant IBM Granite Models Java JavaScript Python Php Ability to collaborate in a global environment

Title: Research Manager Location: Ahmedabad, India, with current and ongoing work authorization Salary: Competitive Position: Full-time 6-month contract, with possibility of extension depending on funding Posted on: May 19, 2025 Application deadline: Rolling, applications will be reviewed as they are submitted Summary of the role PxD seeks a dynamic, creative, and self-motivated Research Manager to join a high-performing, flexible, and non-hierarchical team to manage the implementation of a new research project for generating insights on crowdsourcing information among smallholder farmers in India. In this role, you will have the opportunity to contribute to PxD s new workstreams, collaborate closely with PxD and affiliated researchers, and play a key role in testing and refining innovative ideas. You will use rigorous methods to experiment, measure impact, and identify pathways to scale our programs. The ideal candidate will be passionate about PxDs mission: to provide actionable insights and cost-effective, scalable services that help people in poverty improve their incomes and well-being sustainably. Summary of the project Smallholder farmers in low- and middle-income countries have historically been unable to access quality information to inform their decisions during the cultivation cycle. This research project will devise experiments and combine insights from behavioral, agricultural and development economics to understand the key factors that influence farmers decisions to contribute information to crowdsourcing efforts; and act on information obtained from their peers. We will conduct a randomized controlled trial (RCT) to explore the prospects of crowdsourcing in the context of pest incidence on crops among smallholder farmers in India. The RCT will provide insights into the following research questions: What key factors motivate farmers to share accurate information from which others could learn (including financial and non-financial incentives) What factors would influence farmers willingness to listen to, trust, and act on information derived from crowdsourcing Does acting on crowdsourced information help improve yields Responsibilities (including but not limited to): Manage the implementation of research activities for the project, ensuring adherence to appropriate rigor, policies, timelines, and budgets. Manage financial and human resources for the project. Guide teams on the use of evidence-based approaches and ensure that PxD maintains the standards for technical appropriateness and rigor. Oversee data management and analysis for the project and survey creation and implementation. Oversee documentation of research activities, research results, and rationale for decisions made. Interpret and contextualize external and internal evidence and insights for PxD programs. Manage partner relations and work with external stakeholders for successful project implementation. Develop and ensure compliance with IRB protocols for human subject research and relevant in-country research permission requirements. Provide mentorship and guidance to Associate level staff. Contribute and support internal and external communications to disseminate project results and research findings, including briefs, blogs, reports, and presentations. Contribute to PxD s institutional knowledge management and internal learning efforts. Requirements: The ideal candidate will have: Bachelor s or a Master s degree in economics, agricultural economics, public policy, or a closely related field. Professional experience working on at least two large projects involving the design and management of rigorous research and/or evidence-based programs in LMIC countries. Ability to draw inferences from data to identify pathways for program improvement. Adept at consuming large amounts of academic and scientific literature as well as other technical information, synthesizing key findings, and applying takeaways to program and research design. Deep understanding of economics and randomized evaluations. Excellent knowledge of Stata or R or similar software for data analysis Experience in using SurveyCTO/ODK or a similar program for survey design. Strong grasp of the research program life cycle and ability to supervise all activities on the ground. Experience managing program and/or research staff. Experience managing partnerships with an implementing organization. Understanding and application of research ethics for human subjects in the social sciences. Strong writing and oral communication skills in English, with attention to detail and advanced writing and presentation skills. Willingness to travel to field sites in India. How to apply: To apply, please visit the PxD website and use the online application form to submit a CV, cover letter, and brief responses to the screening questions. Applications will be reviewed on a rolling basis until the position is filled. PxD is committed to building an inclusive and diverse organisation. We don t make decisions based on gender, gender identity, class, ethnicity, sexual orientation, or any other personal characteristics that are unrelated to the role. We understand that everyone has different lifestyles, and we accommodate flexible working to make sure you are as productive and happy as you can be. We will use any personal data you provide for recruitment purposes only. About PxD: PxD is a global non-profit that harnesses the power of technology, data science, and behavioral economics to provide targeted information to farmers in low and middle-income countries. Providing the right information to the right people in the right way and at the right time increases incomes, protects the environment, and improves well-being. We are evidence-based: we test our interventions with randomized controlled trials to prove our impact and cost-effectiveness, to simultaneously learn from and improve our service, and to demonstrate our value to funders and partners. There are few programmes in international development that are as demonstrably cost-effective as ours.