Performing factor, strategy, portfolio construction and risk model related research projects Ensure collected data is prepared for cleansing and factor analysis Analysing and interpreting data to identify trends and patterns Results interpretation, presentation of results to the team, and refinement of models based on feedback given. Running scripts / process for existing quants models Manager Selection Portfolio construction Reporting – assimilation of data and preparation of decks Tech Stack – R / Python + SQL Dashboards + website – UX / UI – React / Java Script / HTML +

About The Role We are looking for a talented and motivated Senior Data Analyst to join our Marketing and Product Analytics team In this role, you will work closely with cross-functional teams to analyse data, build models, and generate insights that drive key decisions across our marketing and product functions This is a fantastic opportunity to apply your analytical skills in a fast paced, data-driven environment with a strong culture of experimentation and impact. Responsibilities Extract, clean, and transform data to ensure quality and usability across analytics initiatives. Build, validate, and deploy machine learning and statistical models to solve business problems. Using your SQL, Python, R expertise to interrogate our data to solve key business problems. Create clear, concise dashboards and reports to communicate findings to stakeholders. Conduct deep-dive analyses to uncover insights on user behaviour, marketing performance, and product engagement. Create clear, concise dashboards and reports to communicate findings to stakeholders. Partner with product managers, marketers, and engineers to design experiments and evaluate their outcomes. Experience in taking a business question or problem and turning it into an insight brief Perform deep dives into campaign metrics to identify drivers of performance and recommend actionable strategies. Stay updated on industry trends, best practices, and emerging technologies in Marketing analytics. Proactively bringing new ideas to the table relating to business questions, analytics approaches, datasets and ways of working. Shape our marketing approach actionable insights. Required Skills Proficient in Python and SQL (MySQL or Redshift experience preferred). Experience with data visualization tools (e.g., Tableau, Power BI, or Plotly). Solid understanding of machine learning, A/B testing, customer segmentation and statistical analysis. Strong problem-solving skills and a structured business approach to working with complex datasets. Excellent communication skills with the ability to present findings clearly o non-technical audiences. Highly motivated and collaborative to excel in a fast-paced remote environment. Proven work experience in working on business analytics and marketing insights. Education And Background EXP.- 3-5 years of experience in an analytics/data science role Prior experience in marketing/customer analytics required. Prior experience working in a consumer-tech, credit/lending or fintech environment is a plus. Experience in a business or marketing analytics product setting, leveraging data science to drive business outcomes.

Position Overview The Senior Enterprise Architect will play a mission-critical role in driving the digital transformation of a global sourcing business This role is responsible for designing and implementing scalable, data-powered technology solutions that optimize core business operationsparticularly in sourcing, merchandising, and supply chain The position requires a strategic thinker with deep technical acumen, proven experience in enterprise architecture, and a strong track record of delivering measurable business outcomes through digital initiatives. Key Responsibilities Digital Transformation & Solution Architecture Defines and leads the execution of the digital transformation roadmap aligned with business objectives. Designs enterprise-grade, scalable technology solutions focused on predictive analytics, supply chain agility, and operational optimization. Champions the use of digital platforms across business units, driving alignment between business needs and technology capabilities. Business Alignment & Change Leadership Collaborates with department heads and executive stakeholders to identify operational challenges and co-create technology-driven solutions. Leads transformational initiatives to modernize business processes and improve cross-functional agility. Drives organizational change management to support adoption of new digital tools and systems. Data Architecture & Analytics Integration Architects modern data ecosystems and AI/ML pipelines to enable real-time insights into inventory management, demand forecasting, and trend analysis. Leverages multiple data sourcesincluding POS, sales performance, and social media trendsto support strategic decision-making. Ensures the seamless integration of predictive analytics into operational workflows and performance dashboards. Technology Enablement & Cross-Functional Collaboration Acts as a strategic bridge between the technology team and core business functions such as sourcing and merchandising. Oversees development, deployment, and continuous improvement of digital platforms and business intelligence tools. Sets standards for system integration, cloud infrastructure, and data security to ensure scalable and sustainable implementation. Innovation & Continuous Improvement Monitors industry trends and evaluates emerging technologies to recommend innovative solutions. Implements automation and AI-enabled capabilities to reduce manual tasks and improve responsiveness. Fosters a culture of continuous improvement and experimentation across the technology landscape. Candidate Profile Education Bachelors degree in Computer Science, Engineering, Data Science, or related field is required. Masters degree or certifications in enterprise architecture or cloud platforms (e.g., TOGAF, AWS, Azure) are preferred. Experience 710 years of experience in enterprise architecture, digital transformation, and large-scale technology program delivery. Demonstrated success in leading cross-functional digital initiatives in fast-paced, global environments. Strong hands-on expertise in cloud technologies, data architecture, and AI/ML-based systems. Technical Expertise Proficient in cloud platforms (AWS, Azure, GCP), enterprise integration, and modern architecture frameworks. Skilled in data and analytics tools such as SQL, Python, R, Power BI, Tableau, or Looker. Deep understanding of automation, predictive analytics, and secure system design. Leadership & Communication Strong leadership capabilities with experience managing agile project teams and cross-functional stakeholder groups. Excellent communication and interpersonal skills, with the ability to translate complex technical ideas into business-aligned strategies. Proven ability to influence global teams and drive enterprise-wide change. Additional Requirements Willingness to travel frequently to the organizations European headquarters and other locations as needed.

Job Summary: We are looking for a skilled Python Developer to build scalable applications, develop software solutions, and support data-driven decision-making. Knowledge of data engineering concepts is a strong plus. Work Mode: Remote work Laptop collection from office (travel/accommodation not provided) In-office presence required once every 6 months for 5 days (based on project need) Mandatory Skill Set: Strong hands-on experience with Python and Python libraries (Pandas, NumPy) Proficient in SQL and R Familiarity with Object Relational Mappers (ORMs) Experience with Python web frameworks (Django or Flask) Solid understanding of RESTful APIs and JSON Basic experience in .NET Framework, C#, ASP.NET (preferred) Excellent communication and teamwork skills Strong problem-solving and organizational abilities Key Responsibilities: Design and develop applications using Python Collaborate with cross-functional teams and clients Perform application testing and provide post-deployment support Regularly update and maintain software solutions Work with data to derive insights and document tools and strategies securely

AI engineer Proficiency in programming languages such as Python, Java, or R with at least 3 yrs exp. Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) for model deployment and scaling. Understanding of financial data structures and databases.

MKS Vision Pvt Ltd About us: MKS Vision is a full spectrum of Information Technology and engineering service provider. We exist to provide increased efficiencies and flexibility that accelerate business performance by adapting the latest cutting-edge technologies for our customers. Our services bring tangible benefits to our customers. MKS Vision will assist you in adopting global services. Website: https://www.mksvision.com/ Job Location: Coimbatore Risk Data Scientist Knowledge of lending industry analytical processes related to (credit underwriting, collections, etc.) Experienced in the data science lifecycle (model specification, development, deployment, and validation) Proficient in the use of modeling and machine learning techniques (logistic regression, gradient boosting, etc.), in SAS, Python or R Strong working exp in Power BI. Proficient in SQL for data extraction, manipulation and cleanup , and the development of modeling datasets for development Experience in conducting data studies and retro studies using internal and external data for model validation Experience in developing project presentations across the project lifecycle (project specification, development, conclusions, and recommendations) Experience in development and maintenance of model documentation Knowledge of lending data systems and data structures (credit applications, loan origination, collections, payments, dialers, credit bureau data) Ability to generate analytical insights form model data, including identification of candidate variables, and development of new features. Preferred minimum 3+ years of experience, BS degree on computer science, management information systems, statistics, data science, etc., or similar experience.

Professor Harsha Tadikonda: Harsha Tadikonda is an Assistant Professor in the Strategy area at the Indian School of Business His research interests include corporate strategy, innovation, and entrepreneurship in high-tech industries Harshas current line of research focuses on how technology competition shapes collaborative decisions among firms and among individuals At ISB, he teaches an elective on managing strategic partnerships Harsha received his Ph D in Strategy and entrepreneurship from the University of Colorado at Boulder, About ISB The Indian School of Business (ISB) evolved from the need for a world-class business school in Asia The founders, some of the best minds from the corporate and academic worlds, anticipated the leadership needs of the emerging Asian economies, The ISB is committed to creating such leaders through its innovative programs, outstanding faculty, and thought leadership, The Indian School of Business (ISB) provides a robust environment that generates high-quality research that is both contemporary and rigorous, Roles & Responsibilities You will: Assistance to the faculty Assisting in their ongoing research work which includes the development of analytical models, solution algorithms, and designing of computational experiments, Data compilation Scraping data from websites or documents and compilation into usable formats for analysis, Database management Linking different datasets, ensuring data quality, and processing raw data into processed datasets for modelling and estimation, Synthesis Literature search and review, summary, presentation, and analytical writing, Quantitative modeling Econometric analysis for exploratory data analysis and causal estimation, including visualization and reporting, along with sound knowledge in signal processing/latent models, Conduct market and economic analysis and prepare reports to harvest data and generate presentable insights from the data, Qualifications Required Skills and Qualifications: B Tech from IIT, NIT, or BITS (A bachelor-level degree with a high CGPA from a reputed college is also good to go) MBA/ PGDBM from premier institutions like IIMs/Others, Skills Experience working with big data systems, concepts, and tools, Strong verbal and written communication skills, with attention to every detail, Strong team player with cross-functional skills, Background in basic econometrics is highly desired, Strong coding proficiency in Python, Stata, R, and SQL Knowledge of various text mining algorithms and their use cases as well as text pre-processing and normalization techniques, Excellent problem-solving and multi-tasking skills, Exposure to economic problems and econometric techniques desirable Motivation to learn and a strong work ethic, Our Commitment Towards You ISB is a research-focused business school It offers a variety of opportunities to understand the current management phenomena in depth, through research brown-bag seminars, workshops, and PhD-level courses It provides several options to hone a persons analytical skills This position is best suited for a candidate with an interest in pursuing a PhD down the line, Along with the competitive salary and plethora of employee benefits, ISB hosts a world-class Learning Resource Centre in the entire Asia, Comprehensive Health and Personal Accident Cover for you and your family members ISB believes in creating a truly inclusive culture that values diversity, equity, and inclusion for everyone through our ideas and collaborations, If this role is your true calling, please fill out the form using the below-mentioned link

Role Responsibilities Design, develop, and maintain the organization's business intelligence and reporting dashboards. Design, develop, and maintain data models and feeds for report development. Prepare insights based on data and reporting solutions. Collaborate with business stakeholders to understand reporting and analysis needs and translate them into technical requirements. Ensure that data is accurate and easily accessible for reporting and analysis. Develop and maintain persona-based dashboards, management reports and executive views to provide business insights. Experienced in Power BI to understand business needs and deliver technical solutions. Follow, learn, and share best practices for Power BI development. Ensure compliance with security and data privacy policies and regulations. Manage and prioritize workload and identify opportunities to streamline processes and improve efficiency. Keep up to date with industry trends and emerging technologies and evaluate their potential impact on business intelligence and reporting. Qualifications & Skills Bachelor's degree in Computer Science, Information Systems, or a related field Master of Business Administration preferred. At least 4 years of experience in business intelligence and reporting, with a focus on data visualization, dashboards, and reporting. Demonstrated experience with Microsoft Power BI, with proficiency in complex DAX, Power Query, tabular data modeling, visualizations, RLS, composite modeling, Power BI Service, Licensing, etc. Strong understanding of database systems, analytical processing, data modeling and ETL/DWH framework. Worked in advanced SQL and database technologies such as Microsoft SQL Server, Azure SQL Server, Oracle, and MySQL, and Amazon Redshift SQL. Experience with cloud-based data storage and processing technologies such as AWS or Azure Data Factory is a plus. Experience in end-to-end implementation projects as well as maintenance & support projects is a plus. Excellent communication skills, with the ability to collaborate effectively with cross-functional teams. Experienced across requirement analysis, solutioning, designing, modeling, implementation, testing, end-user communication. Work in diverse environments - geographical, cultural, and business is preferred. Ability to adapt to changing reporting requirements, priorities, and project timelines. Experience in Banking or Financial Services industry is a plus. Experience in Agile methodologies is preferred. Experience in Microsoft Excel, SharePoint Online, PowerAutomate, Draw.io, Power Apps, Administration, Governance, REST API, PowerShell, JavaScript, DAX Studio, Tabular Editor, Python, R programming, is a plus. Certification in Microsoft Power BI or SQL is a plus. Must Have: SQL (Minimum 3 4 years of hands-on experience), DAX, Power BI, Power Query, M Query. Location - Remote, Hyderabad,Ahmedabad,pune,chennai,kolkata. Mandatory Key Skills DAX,Power Query,data modeling,ETL,Data warehousing,Oracle,MySQL,Amazon Redshift,AWS,Azure Data Factory,Microsoft Excel,SharePoint Online,Power Automate,Power Apps,Business Intelligence*,Business reporting*,data visualization*,SQL*,Power BI*

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics

Job Title: Data Scientist Reports to: Lead – Data Science About upl: UPL is focused on emerging as a premier global provider of total crop solutions designed to secure the world’s long-term food supply. Winning farmers hearts across the globe, while leading the way with innovative products and services that make agriculture sustainable , UPL is the fastest growing company in the industry. UPL has a rich history of 50+ years with presence in 120+ countries . Based on the recognition that humankind is one community, UPL’s overarching commitment is to improve areas of its presence, workplace, and customer engagement . Our purpose is ‘ OpenAg’. An Open agriculture network that feeds sustainable growth for all. No limits, no borders . In order to create sustainable food chain, UPL is now working to build a future-ready, analytics-driven organization that will be even more efficient, more innovative, and more agile. We are setting up “Digital and Analytics” CoE to work on some disruptive projects that will have an impact that matters for the planet. It will help us reimagine our business to ensure the best outcomes for growers, consumers, employees, and our planet. Work with us to get exposure to cutting-edge solutions in digital & advanced analytics, mentorship from senior leaders & domain experts, and access to a great work environment . JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you ? Disruptive projects : Work on ‘ breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploy ing solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure : Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development : Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics!

Job Title: Data Scientist About upl: UPL is focused on emerging as a premier global provider of total crop solutions designed to secure the world’s long-term food supply. Winning farmers hearts across the globe, while leading the way with innovative products and services that make agriculture sustainable , UPL is the fastest growing company in the industry. UPL has a rich history of 50+ years with presence in 120+ countries . Based on the recognition that humankind is one community, UPL’s overarching commitment is to improve areas of its presence, workplace, and customer engagement . Our purpose is ‘ OpenAg’. An Open agriculture network that feeds sustainable growth for all. No limits, no borders . In order to create sustainable food chain, UPL is now working to build a future-ready, analytics-driven organization that will be even more efficient, more innovative, and more agile. We are setting up “Digital and Analytics” CoE to work on some disruptive projects that will have an impact that matters for the planet. It will help us reimagine our business to ensure the best outcomes for growers, consumers, employees, and our planet. Work with us to get exposure to cutting-edge solutions in digital & advanced analytics, mentorship from senior leaders & domain experts, and access to a great work environment . JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you ? Disruptive projects : Work on ‘ breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploy ing solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure : Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development : Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics!

Role Proficiency: Independently provides expertise on data analysis techniques using software tools; streamlining business processes and managing team Outcomes: Managing and designing the reporting environment including data sources security and metadata. Providing technical expertise on data storage structures data mining and data cleansing. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Synthesize both quantitative and qualitative data into insights Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Understanding business requirements and translating it into executable steps for the team members. Identify and recommend new ways to streamline business processes Illustrates data graphically and translates complex findings into written text. Locating results to help the clients make better decisions. Get feedback from clients and offer to build solutions based on the feedback. Review the team's deliverables before sending final reports to stakeholders. Support cross-functional teams with data reports and insights on data. Training end users on new reports and dashboards. Set FAST goals and provide feedback on FAST goals of reportees Measures of Outcomes: Quality - number of review comments on codes written Accountable for data consistency and data quality. Number of medium to large custom application data models designed and implemented Illustrates data graphically and translates complex findings into written text. Number of results located to help clients make informed decisions. Attention to detail and level of accuracy. Number of business processes changed due to vital analysis. Number of Business Intelligent Dashboards developed Number of productivity standards defined for project Manage team members and review the tasks submitted by team members Number of mandatory trainings completed Outputs Expected: Determine Specific Data needs: Work with departmental managers to outline the specific data needs for each business method analysis project Management and Strategy: Oversees the activities of analyst personnel and ensures the efficient execution of their duties. Critical business insights: Mines the business's database in search of critical business insights and communicates findings to the relevant departments. Code: Creates efficient and reusable SQL code meant for the improvement manipulation and analysis of data. Creates efficient and reusable code. Follows coding best practices. Create/Validate Data Models: Builds statistical models; diagnoses validates and improves the performance of these models over time. Predictive analytics: Seeks to determine likely outcomes by detecting tendencies in descriptive and diagnostic analysis Prescriptive analytics: Attempts to identify what business action to take Code Versioning: Organize and manage the changes and revisions to code. Use a version control tool like git bitbucket. etc. Create Reports: Create reports depicting the trends and behaviours from the analysed data Document: Create documentation for own work as well as perform peer review of documentation of others' work Manage knowledge: Consume and contribute to project related documents share point libraries and client universities Status Reporting: Report status of tasks assigned Comply to project related reporting standards/process Skill Examples: Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching. Communication Skills: Communicate effectively with a diverse population at various organization levels with the right level of detail. Critical Thinking: Data analysts must look at the numbers trends and data and come to new conclusions based on the findings. Presentation Skills - reports and oral presentations to client Strong meeting facilitation skills as well as presentation skills. Attention to Detail: Making sure to be vigilant in the analysis to come to correct conclusions. Mathematical Skills to estimate numerical data. Work in a team environment Proactively ask for and offer help Knowledge Examples: Knowledge Examples Database languages such as SQL Programming language such as R or Python Analytical tools and languages such as SAS & Mahout. Proficiency in MATLAB. Data visualization software such as Tableau or Qlik or Power BI. Proficient in mathematics and calculations. Spreadsheet tools such as Microsoft Excel or Google Sheets DBMS Operating Systems and software platforms Knowledge about customer domain and also sub domain where problem is solved Additional Comments: Job Description: We are looking for an experienced Python Developer with a minimum of eight years of experience in Python and its related web frameworks. Experience with machine learning stacks is a plus. Job Location: Bengaluru, India Responsibilities: - Develop, test, and maintain web applications using Python and related frameworks like Flask. - Write clean, maintainable, and efficient code. - Troubleshoot and debug applications to ensure optimal performance. - Participate in code reviews to maintain code quality and share knowledge with the team. - Work on integrating machine learning models and algorithms into applications (nice to have). Requirements: - Minimum of 5 years of professional experience in Python development. - Strong knowledge of web frameworks like Flask. - Experience with relational databases such as PostgreSQL, MySQL, or similar. - Familiarity with version control systems like Git. - Knowledge of software development best practices and design patterns. - Excellent problem-solving skills and the ability to work independently as well as in a team. - Strong communication skills and the ability to articulate technical concepts to non-technical stakeholders. - Proficiency in front-end technologies like HTML, CSS, and JavaScript is a plus. - Experience with machine learning stacks such as TensorFlow, Keras, or scikit-learn is a plus. Required Skills Python,Machine Learning Models,Flask,Postgresql

Good to have skills required : Cloud, SQL , data analysis skills Location : Pune - Kharadi - WFO - 3 days/week. Job Description : We are seeking a highly skilled and experienced Python Lead to join our team. The ideal candidate will have strong expertise in Python coding and development, along with good-to-have skills in cloud technologies, SQL, and data analysis. Key Responsibilities : - Lead the development of high-quality, scalable, and robust Python applications. - Collaborate with cross-functional teams to define, design, and ship new features. - Ensure the performance, quality, and responsiveness of applications. - Develop RESTful applications using frameworks like Flask, Django, or FastAPI. - Utilize Databricks, PySpark SQL, and strong data analysis skills to drive data solutions. - Implement and manage modern data solutions using Azure Data Factory, Data Lake, and Data Bricks. Mandatory Skills : - Proven experience with cloud platforms (e.g. AWS) - Strong proficiency in Python, PySpark, R, and familiarity with additional programming languages such as C++, Rust, or Java. - Expertise in designing ETL architectures for batch and streaming processes, database technologies (OLTP/OLAP), and SQL. - Experience with the Apache Spark, and multi-cloud platforms (AWS, GCP, Azure). - Knowledge of data governance and GxP data contexts; familiarity with the Pharma value chain is a plus. Good to Have Skills : - Experience with modern data solutions via Azure. - Knowledge of principles summarized in the Microsoft Cloud Adoption Framework. - Additional expertise in SQL and data analysis. Educational Qualifications : Bachelor's/Master's degree or equivalent with a focus on software engineering. If you are a passionate Python developer with a knack for cloud technologies and data analysis, we would love to hear from you. Join us in driving innovation and building cutting-edge solutions! Apply Insights Follow-up Save this job for future reference Did you find something suspicious? Report Here! Hide This Job? Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

What kind of person are we looking for We are seeking a highly skilled and motivated Business Intelligence Assistant Manager to join us. The successful candidate will be responsible for overseeing data analysis, developing insights, and supporting business strategies through data-driven decision making. This role requires a strong background in BI analytics, excellent people managerial skills, and a deep understanding of fintech industry trends. What would you get if you worked with us You'll be closely working on problem statements and influencing decisions that impact 42 million merchants. While supporting merchant experience strategy & operations, youll own data visibility, dashboarding, insights & subsequent strategic decision making. By creating powerful narratives based on support data & ticket insights, youll help the merchant experience strategy & operations team to prioritize & achieve ambitious goals. What would you get to do in this role Be an integral part of the Merchant experience strategy team and define the critical metrics to understand MX performance. Monitor performance trends and do data analysis for any interventions done to improve merchant experience. Collaborate closely with the internal to merchant experience teams like process design, Product operations, operations, Automation, etc. to highlight problems/inefficiencies identified by right analytical problem statements. Own the entire insight generation and build narratives by working on deep, thorough analysis to provide unbiased answers on the identified problem statement. Also, come up with unidentified / unknown problem statements based on new data insights. These insights and decisions will be influenced based on your presentation of the evidence, backed by data-driven hypothesis Identify & help stakeholders prioritize improvement opportunities by co-owning experience & business metrics. Move past just being the "Data person" and contribute with individual thoughts on how to improve the critical merchant experience metrics.. Act like a business owner & leverage data to influence stakeholder decisions. Work with central analytics team to ensure that the dashboards are designed and built in a way that makes it easy for the teams to consume the data they need What do you need to have to apply for this position Minimum 3-5 years of analytics experience in relevant roles. Lead and mentor a team of data analysts, ensuring high performance and continuous development. Ability to manage multiple projects/BUs and priorities simultaneously. Present findings and insights to senior management and other stakeholders in a clear and concise manner. Collaborate with business units to understand their needs and provide data-driven recommendations to support strategic initiatives. Strong problem solving & analytical skills, followed by strong stakeholder management skills. Identify opportunities for process improvement and implement best practices in data analysis and reporting. Penchant for business & curiosity to understand how the product works Ability to clearly explain thoughts and ideas either verbally or in the written form. Candidates who are able to explain the story behind their analysis will find themselves at an advantage. Intuition for data and ability to handle big data sources. Strong working knowledge in Excel and visualization tools like PowerBI, Tableau, Qlik Sense. Ability to write complex queries on SQL to manipulate, consolidate multiple data sources for the purpose of dashboarding and analysis, is a pulse. Understanding of data-analysis languages such as R, Python and in core statistical concepts is good to have.

Person at this position takes ownership of a module and associated quality and delivery. Person at this position provides instructions, guidance and advice to team members to ensure quality and on time delivery. Person at this position is expected to be able to instruct and review the quality of work done by technical staff. Person at this position should be able to identify key issues and challenges by themselves, prioritize the tasks and deliver results with minimal direction and supervision. Person at this position has the ability to investigate the root cause of the problem and come up alternatives/ solutions based on sound technical foundation gained through in-depth knowledge of technology, standards, tools and processes. Person has the ability to organize and draw connections among ideas and distinguish between those which are implementable. Person demonstrates a degree of flexibility in resolving problems/ issues that atleast to in-depth command of all techniques, processes, tools and standards within the relevant field of specialisation. Roles & Responsibilities Responsible for requirement analysis and feasibility study including system level work estimation while considering risk identification and mitigation. Responsible for design, coding, testing, bug fixing, documentation and technical support in the assigned area. Responsible for on time delivery while adhering to quality and productivity goals. Responsible for traceability of the requirements from design to delivery Code optimization and coverage. Responsible for conducting reviews, identifying risks and ownership of quality of deliverables. Responsible for identifying training needs of the team. Expected to enhance technical capabilities by attending trainings, self-study and periodic technical assessments. Expected to participate in technical initiatives related to project and organization and deliver training as per plan and quality. Expected to be a technical mentor for junior members. Person may be given additional responsibility of managing people based on discretion of Project Manager. Education and Experience Required Engineering graduate, MCA, etc Experience: 5-8 years Competencies Description Data Science TCB is applicable to one who 1) Analyses data to arrive at patterns/Insights/models 2) Come up with models based on the data to provide recommendations, predictive analytics etc 3) Provides implementation of the models in R, Matlab etc 4) Can understand and apply machine learning/AI techniques Platforms- Unix Tools- R, Matlab, Spark Machine Learning, Python-ML, SPSS, SAS Languages- R, Perl, Python, Scala Specialization- COGNITIVE ANALYTICS INCLUDING COMPUTER VISION, AI and ML, STATISTICS

Our client is one of the global banking firms which provides industry-focused services for clients across geographies. We are looking for a Principal Advisor to join our global Model Risk Management (MRM) team. As part of a collaborative and dynamic team, you will be responsible for validating, reviewing, and challenging models across the bank to ensure compliance with regulatory guidelines and best practices. Some of the key responsibilities will include: Conduct comprehensive validations of models across Treasury, ALM, balance sheet forecasting, and credit risk. Review model design, data integrity, code accuracy, and stress testing frameworks. Prepare high-quality validation reports and documentation, adhering to internal and regulatory standards. Interact with model owners, users, data scientists, and global MRM teams to ensure robust oversight. Provide effective challenge and identify model risks and control gaps, recommending enhancements. Support audits, regulatory exams, and ongoing model monitoring and governance. Stay current with regulatory trends (e.g., SR 11-7, OCC 2011-2012) and industry best practices. To be eligible for this role you will require: 5-12 years of experience in model development, validation, or implementation within financial services. Proficiency in Python, R, SQL, and statistical methods (regression, ARIMA, etc.). Experience with Treasury, ALM, or balance sheet forecasting models is a plus. Strong understanding of model governance frameworks and regulatory expectations. Bachelor's or master's degree in statistics, mathematics, economics, or a related quantitative field. Excellent written and verbal communication skills and the ability to mentor junior analysts.

ventureit global solutions is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey. Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

ventureit global solutions is looking for AI/ML Engineer to join our dynamic team and embark on a rewarding career journey. you will play a critical role in designing, developing, and deploying artificial intelligence and machine learning solutions that drive innovation and improve business outcomes. You will work closely with cross-functional teams to understand business needs, develop machine learning models, and create scalable, data-driven applications. Your expertise in AI/ML will enable us to harness the power of data for strategic advantage. Key Responsibilities: Solution Design: Collaborate with stakeholders to define AI/ML project requirements and objectives. Data Collection: Identify and gather relevant data from various sources, ensuring data quality and reliability. Data Preprocessing: Clean, preprocess, and transform data to prepare it for model development. Model Development: Build and train machine learning models using appropriate algorithms and techniques. Feature Engineering: Create relevant features and feature engineering pipelines to improve model performance. Model Evaluation: Evaluate model performance using appropriate metrics and validation techniques. Hyperparameter Tuning: Optimize model hyperparameters to achieve the best results. Deployment: Deploy machine learning models into production environments, ensuring scalability and reliability. Monitoring: Implement model monitoring and maintenance processes to ensure ongoing performance. Documentation: Maintain comprehensive documentation of AI/ML models, methodologies, and results. Research: Stay updated on the latest AI/ML research and technologies, and apply new insights to projects. Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field (Master's degree preferred). Proven experience in AI/ML development, with a strong portfolio of projects. Proficiency in machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong programming skills in languages such as Python or R. Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of deep learning, neural networks, and natural language processing (NLP) is a plus. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker) is a plus. Excellent problem-solving and analytical skills. Effective communication and collaboration abilities. Ability to work independently and as part of a multidisciplinary team.

Inorbvict healthcare India Pvt Ltd is looking for Business Inteligence to join our dynamic team and embark on a rewarding career journey. Data Collection and Integration: Gather data from various sources within the organization and external sources. Integrate data from different systems to create a unified and comprehensive dataset. Data Analysis: Analyze large sets of data to identify trends, patterns, and insights. Utilize statistical and analytical tools to interpret data and generate meaningful reports. Reporting and Visualization: Develop and design reports and dashboards to communicate data-driven insights. Use BI tools (e.g., Tableau, Power BI) to create visually appealing and easily understandable presentations of data. Business Performance Monitoring: Monitor key performance indicators (KPIs) and provide regular updates to stakeholders. Identify areas of improvement and suggest strategies for enhancing business performance. Predictive Analysis: Utilize predictive modeling and forecasting techniques to anticipate future trends and business outcomes. Database Management: Manage and maintain databases, ensuring data accuracy, integrity, and security. Collaboration: Collaborate with cross-functional teams, including IT, finance, marketing, and operations, to understand their data needs and provide relevant insights. Continuous Learning: Stay informed about industry trends, emerging technologies, and best practices in business intelligence.

Teqtive IT Services Pvt Ltd is looking for Graphics Design Intern to join our dynamic team and embark on a rewarding career journey. Collaborating with clients or team members to determine design requirements and project goalsDeveloping and creating visual contentSelecting and manipulating appropriate images, fonts, and other design elements to enhance the visual impact of designsUsing graphic design software, such as Adobe Photoshop, Illustrator, and InDesign, to produce final designsPresenting design concepts and presenting revisions to clients or team membersManaging multiple projects and meeting tight deadlinesEnsuring designs meet brand guidelines and quality standards

Senior RMLE Leader, incoordination with the rest of the RMLE team, will be responsible for data analysis, data management and periodically providing updated data tables from the data collected by RMLE team/by program team/ any other departments/partners as well as system data and communicate appropriately to different stakeholders. S/he will also focus on all RMLE data analysis and interpretation within the pursuit of the University of Manitoba funded Program Monitoring & Learning Project. Roles And Responsibilities • Understand and perform basic and advanced analysis using all available data sources for knowledge generation that will guide the program implementation. • Database management. • Conducting different types of random sampling from line lists. • Quantitative and Qualitative data analysis from cleaning to preparation of result tables. • Data Cleaning: Managing loss of information, data mapping, removing duplicate entries, coding of open-ended responses, merging of data sets etc. • Preparing data analysis plan / tabulation plan. • Analysis of data to produce frequencies of different indicators, descriptive, cross-tabulation, simple correlations etc. using SAS/SPSS/STATA/excel as per program requirement. • Writing syntaxes for concurrent data analysis. • Qualitative data management and analysis. • Collating and analysing secondary data from required sources. • Prepare appropriate dissemination including scientific manuscripts documents for sharing with internal and external stakeholders. • Capacity building of program team and Government counterparts on understanding of data and data driven management. • To perform other ad-hoc tasks as per the need of different stakeholders such as the Government and the donor. • Travel within or beyond the program areas for 10-30% of the time.

Position Overview :We are seeking an experienced Head of Engineering to lead our engineering team. The ideal candidate will have a deep technical background, particularly in AI/ML and Generative AI, and will be hands-on in contributing to the development process. This role will be key in driving the technical vision, architecture, and implementation of our cutting-edge platform. Key Responsibilities : - Lead and manage a team of engineers focused on AI/ML and Generative AI solutions. - Oversee the design, development, and deployment of advanced AI systems for the KonProz GPT platform. - Drive technical innovation and ensure that engineering practices meet the highest standards. - Collaborate with cross-functional teams to ensure technical alignment with business goals. - Stay current with AI/ML trends and incorporate best practices into the platform. - Contribute hands-on coding when necessary and mentor the engineering team. - Lead the engineering team in delivering scalable, secure, and efficient software solutions. - Ensure the product meets legal, tax, and regulatory requirements with in-depth knowledge of these sectors. Qualifications : - 6 to 7 years of hands-on experience in AI/ML, Generative AI, and related technologies. - Proven experience managing engineering teams while remaining technically involved. - Proficiency in Python (must-have). - Familiarity with Java, Go, and R (preferred). - Strong understanding of frontend technologies, particularly Next.js. - Experience with backend technologies, specifically Node.js. - Knowledge of authentication systems like Auth0. - Experience with server and database technologies, especially AWS and Firestore. - Strong understanding of AI/ML frameworks, algorithms, and deployment practices. - Good knowledge of the legal, tax, and regulatory sectors in India. - Bachelor's or Master's degree in Computer Science or a related field. - Strong problem-solving skills and ability to work in a fast-paced environment

Job Summary Person at this position takes ownership of a module and associated quality and delivery. Person at this position provides instructions, guidance and advice to team members to ensure quality and on time delivery. Person at this position is expected to be able to instruct and review the quality of work done by technical staff. Person at this position should be able to identify key issues and challenges by themselves, prioritize the tasks and deliver results with minimal direction and supervision. Person at this position has the ability to investigate the root cause of the problem and come up alternatives/ solutions based on sound technical foundation gained through in-depth knowledge of technology, standards, tools and processes. Person has the ability to organize and draw connections among ideas and distinguish between those which are implementable. Person demonstrates a degree of flexibility in resolving problems/ issues that atleast to in-depth command of all techniques, processes, tools and standards within the relevant field of specialisation. Roles & Responsibilities Responsible for requirement analysis and feasibility study including system level work estimation while considering risk identification and mitigation. Responsible for design, coding, testing, bug fixing, documentation and technical support in the assigned area. Responsible for on time delivery while adhering to quality and productivity goals. Responsible for traceability of the requirements from design to delivery Code optimization and coverage. Responsible for conducting reviews, identifying risks and ownership of quality of deliverables. Responsible for identifying training needs of the team. Expected to enhance technical capabilities by attending trainings, self-study and periodic technical assessments. Expected to participate in technical initiatives related to project and organization and deliver training as per plan and quality. Expected to be a technical mentor for junior members. Person may be given additional responsibility of managing people based on discretion of Project Manager. Education and Experience Required Engineering graduate, MCA, etc Experience: 5-8 years Competencies Description Data engineering TCB is applicable to one who 1) Creates databases and storage for relational and non-relational data sources 2) Develops data pipelines (ETL/ ELT) to clean , transform and merge data sources into usable format 3) Creates reporting layer with pre-packaged scheduled reports , Dashboards and Charts for self-service BI 4) Has experience on cloud platforms such as AWS, Azure , GCP in implementing data workflows 5) Experience with tools like MongoDB, Hive, Hbase, Spark, Tableau, PowerBI, Python, Scala, SQL, ElasticSearch etc. Platforms- AWS, Azure , GCP Technology Standard- NA Tools- MongoDB, Hive, Hbase, Tableau, PowerBI, ElasticSearch, Qlikview Languages- Python, R, Spark,Scala, SQL Specialization- DWH, BIG DATA ENGINEERING, EDGE ANALYTICS

Location: Gurgaon, Noida, Bangalore, Chennai Primary Responsibilities: WHAT Business Knowledge: Capable of understanding the requirements for the entire project (not just own features) Capable of working closely with PMG during the design phase to drill down into detailed nuances of the requirements Has the ability and confidence to question the motivation behind certain requirements and work with PMG to refine them Design: Can design and implement machine learning models and algorithms Can articulate and evaluate pros/cons of different AI/ML approaches Can generate cost estimates for model training and deployment Coding/Testing: Builds and optimizes machine learning pipelines Knows & brings in external ML frameworks and libraries Consistently avoids common pitfalls in model development and deployment HOW Quality: Solves cross-functional problems using data-driven approaches Identifies impacts/side effects of models outside of immediate scope of work Identifies cross-module issues related to data integration and model performance Identifies problems predictively using data analysis Productivity: Capable of working on multiple AI/ML projects simultaneously and context switching between them Process: Enforces process standards for model development and deployment Independence: Acts independently to determine methods and procedures on new or special assignments Prioritizes large tasks and projects effectively Agility: Release Planning: Works with the PO to do high-level release commitment and estimation Works with PO on defining stories of appropriate size for model development Agile Maturity: Able to drive the team to achieve a high level of accomplishment on the committed stories for each iteration Shows Agile leadership qualities and leads by example WITH Team Work: Capable of working with development teams and identifying the right division of technical responsibility based on skill sets Capable of working with external teams (e.g., Support, PO, etc.) that have significantly different technical skill sets and managing the discussions based on their needs Initiative: Capable of creating innovative AI/ML solutions that may include changes to requirements to create a better solution Capable of thinking outside-the-box to view the system as it should be rather than only how it is Proactively generates a continual stream of ideas and pushes to review and advance ideas if they make sense Takes initiative to learn how AI/ML technology is evolving outside the organization Takes initiative to learn how the system can be improved for the customers Should make problems open new doors for innovations Communication: Communicates complex AI/ML concepts internally with ease Accountability: Well versed in all areas of the AI/ML stack (data preprocessing, model training, evaluation, deployment, etc.) and aware of all components in play Leadership: Disagree without being disagreeable Use conflict as a way to drill deeper and arrive at better decisions Frequent mentorship Builds ad-hoc cross-department teams for specific projects or problems Can achieve broad scope 'buy in' across project teams and across departments Takes calculated risks Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: B.E/B.Tech/MCA/MSc/MTech 5+ years of experience working on multiple layers of technology Experience deploying and maintaining ML models in production Experience in Agile teams Working experience or good knowledge of cloud platforms (e.g., Azure, AWS, OCI) Experience with one or more data-oriented workflow orchestration frameworks (Airflow, KubeFlow etc.) Familiarity with traditional software monitoring, scaling, and quality management (QMS) Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc.) Knowledge of model versioning and deployment using tools like MLflow, DVC, or similar platforms Hands-on knowledge of OpenSource adoption and use cases Good understanding of Data/Information security Proficient in Data Structures, ML Algorithms, and ML lifecycle Product/Project/Program Related Tech Stack: Machine Learning Frameworks: Scikit-learn, TensorFlow, PyTorch Programming Languages: Python, R, Java Data Processing: Pandas, NumPy, Spark Visualization: Matplotlib, Seaborn, Plotly Familiarity with model versioning tools (MLFlow, etc.) Cloud Services: Azure ML, AWS SageMaker, Google Cloud AI Design, implement, and maintain CI/CD pipelines for MLOps and DevOps function Good knowledge in Engineering Practices Demonstrated excellent problem-solving skills Demonstrated excellent verbal, written, and interpersonal communication skills

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.