889 Pandas Jobs - Page 36

Looking for a developer with strong 5+ experience in Python and PySpark for building and optimizing big data pipelines. Must have hands-on experience with Spark, data processing, and distributed systems. Numpy pandas, and related technologies

We are seeking a highly skilled and experienced Senior Engineer - Full Stack with a strong background in Agile Methodologies Node.js .NET SQL & NoSQL databases and Python frameworks such as Flask and Django. Should have exposure to Panadas and NumPy libraries Responsibilities Develop and maintain full stack applications using Node.js .NET and Python frameworks like Flask and Django. Implement and manage Agile methodologies to ensure efficient project delivery. Design and optimize SQL and NoSQL databases to support application requirements. Utilize Numpy and Pandas for data manipulation and analysis. Collaborate with cross-functional teams to define design and ship new features. Ensure the performance quality and responsiveness of applications. Identify and correct bottlenecks and fix bugs. Conduct code reviews and provide constructive feedback to team members. Stay up-to-date with the latest industry trends and technologies to ensure the company remains competitive. Provide technical guidance and mentorship to junior engineers. Work closely with the Consumer Lending team to understand business requirements and translate them into technical solutions. Develop and maintain documentation for all projects and processes. Participate in daily stand-ups sprint planning and retrospectives to ensure continuous improvement. Qualifications Possess a strong understanding of Agile methodologies and their application in software development. Have extensive experience with Node.js .NET and Python frameworks such as Flask and Django. Demonstrate proficiency in SQL and NoSQL databases. Show expertise in data manipulation and analysis using Numpy and Pandas. Exhibit excellent problem-solving skills and attention to detail. Have a solid understanding of the Consumer Lending domain. Display strong communication and collaboration skills. Be able to work effectively in a hybrid work model. Have a minimum of 6 years and a maximum of 10 years of relevant experience. Show a commitment to continuous learning and professional development. Demonstrate the ability to mentor and guide junior engineers. Possess strong documentation skills.

Job description Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the worlds largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500.Offices: New York | Dallas | San Francisco | Lima | Bengaluru This role is for our Bengaluru office Roles and Responsibilities: Convert broad vision and concepts into a structured data science roadmap, and guide a team to successfully execute on it. Handling end-to-end client AI & analytics programs in a fluid environment. Your role will be a combination of hands-on contribution, technical team management, and client interaction. Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Contribute to internal product development initiatives related to data science. Drive excellent project management required to deliver complex projects, including effort/time estimation. Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects Manage the team-members, to ensure that the project plan is being adhered to over the course of the project Build a trusted advisor relationship with the IT management at clients and internal accounts leadership. Mandated Skills: A B-Tech/M-Tech/MBA from a top tier Institute preferably in a quantitative subject 7+ years of hands-on experience in applied Machine Learning, AI and analytics Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP) Experience in Python libraries such as NumPy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc. Strong grasp of depth and breadth of machine learning, deep learning, data mining, and statistical concepts and experience in developing models and solutions in these areas Expertise with client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc. Desired Skills: Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems. Comfortable with large scale data processing and distributed computing Providing required inputs to sales, and pre-sales activities A self-starter who can work well with minimal guidance Excellent written and verbal communication skills Perks and benefits Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions. Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo Vibrant inclusive culture of mutual respect and fun through both work and play

Job description: Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the worlds largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500.Offices: New York | Dallas | San Francisco | Lima | Bengaluru This role is for our Bengaluru office Roles and Responsibilities: Convert broad vision and concepts into a structured data science roadmap, and guide a team to successfully execute on it. Handling end-to-end client AI & analytics programs in a fluid environment. Your role will be a combination of hands-on contribution, technical team management, and client interaction. Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Contribute to internal product development initiatives related to data science. Drive excellent project management required to deliver complex projects, including effort/time estimation. Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects Manage the team-members, to ensure that the project plan is being adhered to over the course of the project Build a trusted advisor relationship with the IT management at clients and internal accounts leadership. Mandated Skills: A B-Tech/M-Tech/MBA from a top tier Institute preferably in a quantitative subject 5+ years of hands-on experience in applied Machine Learning, AI and analytics Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP) Experience in Python libraries such as NumPy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc. Strong grasp of depth and breadth of machine learning, deep learning, data mining, and statistical concepts and experience in developing models and solutions in these areas Expertise with client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc. Desired Skills: Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems. Comfortable with large scale data processing and distributed computing Providing required inputs to sales, and pre-sales activities A self-starter who can work well with minimal guidance Excellent written and verbal communication skills Perks and benefits Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions. Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo Vibrant inclusive culture of mutual respect and fun through both work and play

An AI Data Scientist at IBM is not just a job title - it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop 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 Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 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 (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.)Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps / friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL / PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques / tools and Process Mining / Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.)- Nice to have Strong communicationand presentation skills. Understanding of business processes.

About The Role Mandatory SkillGen AI, LLM, GPT-3, RAG, Lang chain, Llama, AI/ML, DL, NLP or Computer Vision, Python, Tensorflow, Pytorch, Django, Keras, Pandas, NumPy Preferred SkillAWS or GCP or Azure Cloud, MLOps, GPT-4, SQL, Scikit-learn, Matplotlib, Seaborn, Hadoop, Spark, or Apache Flink, Banking exposure Required Skill Programming LanguagesProficiency in Python, R, or Java. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, etc. Machine LearningStrong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning. Data ScienceExperience with data analysis, data visualization, and statistical modeling. Proficiency in using tools like Pandas, NumPy, Matplotlib, and Seaborn. Big Data TechnologiesFamiliarity with big data processing frameworks like Hadoop, Spark, or Apache Flink. Cloud PlatformsExperience with cloud services such as AWS, Google Cloud, or Azure for deploying AI solutions. Natural Language Processing (NLP)Knowledge of NLP techniques and tools such as NLTK, SpaCy, or GPT-3. Computer VisionExperience with computer vision techniques and libraries such as OpenCV, YOLO, or Fast R-CNN. Problem-SolvingStrong analytical and problem-solving skills with the ability to think critically and creatively. CommunicationExcellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Team CollaborationAbility to work effectively in a collaborative team environment and contribute to team success. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

We are looking for a skilled Data Scientist with strong expertise in Python, Pandas, Machine Learning, and Time Series Forecasting. The ideal candidate will be able to drive impactful Data Science solutions, optimize model performance, and work closely with clients to improve deployments. Data Scientist We are looking for a skilled Data Scientist with strong expertise in Python, Pandas, Machine Learning, and Time Series Forecasting. The ideal candidate will be able to drive impactful Data Science solutions, optimize model performance, and work closely with clients to improve deployments. Data Scientist? Mandatory Skills: Python, Pandas, EDA, ML, Time Series Forecasting, Model Optimization, Client Collaboration Good-to-Have Skills: Big Data (Spark/Hadoop), Deep Learning, Cloud Computing, NLP, Stakeholder Management Detailed JD Strong hands-on expertise in Python and Pandas Advanced skills in Exploratory Data Analysis (EDA) Strong command over Machine Learning (ML) techniques Experience in Time Series Forecasting and predictive modeling Proven problem-solving skills for model development and optimization Ability to design and drive Data Science solutions for business impact Proficiency in model performance testing and tuning Experience working directly with clients to resolve challenges and improve deployments Mandatory Skills: Python, Pandas, EDA, ML, Time Series Forecasting, Model Optimization, Client Collaboration Good-to-Have Skills: Big Data (Spark/Hadoop), Deep Learning, Cloud Computing, NLP, Stakeholder Management Detailed JD Strong hands-on expertise in Python and Pandas Advanced skills in Exploratory Data Analysis (EDA) Strong command over Machine Learning (ML) techniques Experience in Time Series Forecasting and predictive modeling Proven problem-solving skills for model development and optimization Ability to design and drive Data Science solutions for business impact Proficiency in model performance testing and tuning Experience working directly with clients to resolve challenges and improve deployments

Job Summary: We are seeking an experienced and forward-thinking AI Subject Matter Expert (SME) to lead the design, development, and integration of custom and commercial AI solutions. The ideal candidate will bring deep technical expertise, a passion for innovation, and a strategic mindset to drive impactful AI initiatives across the organization. Key Responsibilities: Custom AI Development: Design, build, and deploy tailored AI models and solutions that address specific business challenges and objectives. Commercial AI Integration: Evaluate, recommend, and implement commercial AI platforms and tools to enhance operational efficiency and business outcomes. Research & Innovation: Stay abreast of emerging AI technologies, trends, and research; identify opportunities to innovate and apply cutting-edge techniques. Advanced Data Analysis: Analyze complex datasets to uncover patterns, support model development, and inform decision-making. Cross-functional Collaboration: Partner with data scientists, software engineers, analysts, and business stakeholders to ensure seamless integration of AI solutions. Documentation & Knowledge Sharing: Create thorough documentation of models, algorithms, and development processes; contribute to organizational knowledge bases. Training & Support: Mentor team members and provide training sessions for stakeholders to build AI literacy and adoption across teams. Qualifications Education: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: 6-9 years of hands-on experience in AI solution development and implementation, with a strong portfolio of successful projects . Technical Proficiency: Expertise in AI/ML frameworks such as TensorFlow, PyTorch, Keras. Strong programming skills in Python (preferred), R, and experience with data tools such as SQL and Pandas. Familiarity with deploying models in production environments . Analytical & Problem-Solving Skills: Ability to interpret complex data, design intelligent systems, and develop actionable insights . Communication: Strong written and verbal communication skills, capable of translating complex concepts for non-technical audiences . Project Management: Demonstrated ability to lead AI projects end-to-end from planning to deployment and performance monitoring . Adaptability: Comfortable working in a dynamic, fast-paced environment with evolving business needs.

The impact you will have in this role: We are seeking a talented and expert Data Scientist to join our team. The ideal candidate will have expertise in Python, AI/ML, Power BI, Power Apps, Power Automate, Snowflake, Oracle, SQL, and SharePoint (knowledge is a plus), with a strong background in data analysis, machine learning, and visualization. What You'll Do: Develop and deploy machine learning models to tackle complex business problems and drive decision-making. This includes tasks such as data preprocessing, feature engineering, model training, and evaluation, using techniques such as regression, classification, clustering, and deep learning. Design and implement data pipelines for data extraction, transformation, and loading using Python, Snowflake, and Oracle. This involves understanding and working with various data sources and formats, ensuring data quality and integrity throughout the process. Build and maintain interactive dashboards and reports in Power BI to visualize key metrics and trends. This includes designing visually appealing and informative visualizations for collaborators, utilizing advanced DAX calculations and custom visuals, and optimizing report performance. Apply Power BI's advanced features such as Power Query, Power Pivot, and Power View to handle large datasets efficiently and create dynamic and interactive reports. Build and optimize Power Apps solutions to automate business processes and enhance productivity. This involves understanding user requirements and designing user-friendly interfaces, using Power Apps' capabilities to streamline workflows and improve efficiency. Develop and deploy workflows and business process automations using Power Automate. This includes automating repetitive tasks, integrating systems, and orchestrating complex workflows to improve operational efficiency and reduce manual effort. Collaborate with cross-functional teams to see opportunities for leveraging data and analytics to drive business value. This involves understanding business requirements, conducting data analysis, and translating insights into actionable recommendations and solutions. Provide technical leadership and mentorship to junior team members. This includes sharing standard processes, providing guidance on technical issues, and fostering a culture of continuous learning and innovation. Education : Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field. Talents needed for Success: 7+ years of experience in data science, analytics, or related roles, with a focus on machine learning and data-driven decision-making. Proven experience in Python programming and machine learning techniques, with a deep understanding of algorithms and data structures. Experience with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch is highly preferred. Strong understanding of different machine learning algorithms and their applications, including supervised learning, unsupervised learning, and reinforcement learning. Expertise in data visualization and dashboard development using Power BI. Experience with other visualization tools such as Tableau or Qlik is a plus. Proficient in creating complex calculations, measures, and KPIs in Power BI to derive actionable insights from data. Strong proficiency in Power Apps development, including canvas apps, model-driven apps, and custom connectors. Experience in building and deploying workflows and automations using Power Automate. Hands-on experience with Snowflake and Oracle database technologies. Advanced skills in SQL programming, with experience in writing complex queries and stored procedures. Excellent analytical and problem-solving abilities, with a keen attention to detail and a passion for data-driven decision-making. Effective communication skills and ability to collaborate with cross-functional teams, translating technical concepts into business insights and recommendations. SharePoint knowledge is a plus. Nice to have skills: Communicates openly keeping everyone across the organization advised. Strong communicator who is a self-starter and highly motivated individual

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence. Required Skills and Qualifications: Proficiency in Python programming with 3+ years of experience in custom development projects. Knowledge of web development frameworks like Django or Flask for extended functionality. Strong understanding of object-oriented programming, design patterns, and software development best practices. Experience with data visualization libraries (e.g., Matplotlib, Dash, Plotly) for building interactive UIs. Familiarity with agile development methodologies. Exposure to cloud environments (AWS, Azure, or GCP) is a plus. Experience in integrating RESTful APIs and working with JSON/XML data formats. Familiarity with version control systems (e.g., Git) and CI/CD pipelines. Hands-on experience with Python UI frameworks such as PyQt, Tkinter, or Kivy. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Key Responsibilities: Custom Development : Design, develop, and implement custom software solutions using Python. Write clean, efficient, and maintainable code, adhering to best practices. Debug, optimize, and enhance existing Python applications to meet evolving requirements. UI Development : Develop user-friendly interfaces using Python UI frameworks like PyQt, Tkinter, or Kivy. Collaborate with UX/UI designers to translate wireframes and user stories into functional, responsive UIs. Ensure seamless integration of front-end elements with the backend logic. Integration and Testing : Integrate third-party libraries, APIs, and services as required. Conduct thorough testing of applications to ensure quality, functionality, and performance. Collaboration and Communication : Work closely with cross-functional teams, including product managers, designers, and QA engineers, to deliver high-quality software. Provide technical support and documentation for implemented solutions.

Requirement : 8+ years of professional experience as a data engineer and 2+ years of professional experience as a senior data engineer Must have strong working experience in Python and its various data analysis packages Pandas / NumPy Must have strong understanding of prevalent cloud ecosystems and experience in one of the cloud platforms AWS / Azure / GCP . Must have strong working experience in one of the leading MPP Databases Snowflake / Amazon Redshift / Azure Synapse / Google Big Query Must have strong working experience in one of the leading data orchestration tools in cloud – Azure Data Factory / Amazon Glue / Apache Airflow Must have experience working with Agile methodologies, Test Driven Development, and implementing CI/CD pipelines using one of leading services – GITLab / Azure DevOps / Jenkins / AWS Code Pipeline / Google Cloud Build Must have Data Governance / Data Management / Data Quality project implementation experience Must have experience in big data processing using Spark Must have strong experience with SQL databases (SQL Server, Oracle, Postgres etc.) Must have stakeholder management experience and very good communication skills Must have working experience on end-to-end project delivery including requirement gathering, design, development, testing, deployment, and warranty support Must have working experience with various testing levels, such as, unit testing, integration testing and system testing Working experience with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures Nice to have Skills : Working experience in DataBricks notebooks and managing DataBricks clusters Experience in Data Modelling tool such as Erwin or ER Studio Experience in one of the data architectures, such as Data Mesh or Data Fabric Has handled real time data or near real time data Experience in one of the leading Reporting & analysis tools, such as Power BI, Qlik, Tableau or Amazon Quick Sight Working experience with API integration General insurance / banking / finance domain understanding

Job Summary We are seeking a detail-oriented and analytical Junior Data Scientist join our team. The ideal candidate will play a crucial role in maintaining data integrity, performing data cleaning tasks, and supporting the generation of key data reports. This position offers an excellent opportunity for growth and skill development in the field of data analytics and management. Role & responsibilities Clean, validate, and prepare large datasets to ensure consistency and reliability Assist in the extraction, transformation and loading (ETL) of data across internal and external sources Support the maintenance of data pipelines and documentation Collaborate with cross-functional teams to understand data requirements and help ensure data availability and quality Write SQL queries for data validation, reporting, and troubleshooting purposes Use Python for data extraction, manipulation, analysis, visualizations and automation (Pandas, NumPy, Matplotlib/Seaborn, BeautifulSoup) Contribute to regular and ad-hoc reporting tasks using Excel and BI tools like Tableau or Looker Studio Work alongside senior analysts and data scientists to support ongoing projects, contributing to data preparation, analysis, and meaningful insights wherever possible Support the development and testing of basic machine learning models Preferred candidate profile Bachelors degree in engineering, Statistics, Mathematics, Computer Science, or related field. Proficient in Excel, including advanced functions like pivot tables, VLOOKUP/INDEX-MATCH, and data visualization Hands-on experience with SQL for writing complex queries Proficient in Python for data analysis; familiarity with libraries such as Pandas and NumPy Solid understanding of data cleaning techniques, validation processes, and foundational data warehousing concepts Strong analytical mindset with high attention to detail Ability to collaborate effectively with cross-functional teams and translate business needs into actionable data tasks Excellent communication skills to convey complex data insights to non-technical stakeholders. Candidates available to join immediately or within 45 days will be given preference

Job Title: Data Scientist About Us: We as Primotech are as an IT Global Solutions company. Weve been delivering software development and IT projects from several big enterprises to small and medium-sized businesses. We blend agile methodologies with technical expertise to take business to the next level. What We Are Looking for: We are looking for a skilled and motivated Data Scientist with a strong background in Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate will design and deploy intelligent systems and predictive models to solve complex business problems, drive automation, and enhance data-driven strategies. Key Responsibilities: Design, develop, and implement AI/ML models to solve business challenges and optimize processes. Analyze large and complex datasets to uncover trends, patterns, and insights. Work with cross-functional teams to define use cases, gather requirements, and deploy end-to-end solutions. Perform model training, validation, testing, and tuning using real-world data. Apply advanced techniques such as deep learning, natural language processing (NLP), and computer vision when applicable. Present findings and recommendations to stakeholders in a clear, concise manner. Monitor and maintain production models to ensure ongoing performance and accuracy. Stay up to date with emerging technologies and best practices in AI and data science. Required Qualifications: Bachelors or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field. Strong programming skills in Python or R, with experience using AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras). Proficiency in data manipulation using SQL and data analysis/visualization tools (e.g., pandas, matplotlib, seaborn, Tableau). Solid understanding of machine learning algorithms, model evaluation techniques, and AI applications. Hands-on experience with supervised and unsupervised learning, feature engineering, and model deployment. Good understanding of cloud platforms such as AWS, GCP, or Azure. Interested candidates may share their resume at shikha.rana@primotech.com