... with advancements in data science, machine learning, and AI technologies. Required Skills And Qualifications Experience: 5-7 years of hands-on experience in data analysis, predictive modeling, and advanced analytics. Technical Proficiency Strong programming skills in Python, R, and SQL. In-depth knowledge of machine learning ...
... LangChain, OpenAI models, prompt engineering, RAG pipelines. - More on traditional machine learning with cloud aws exposure - Understanding of statistics, Ex – Data distributions, Data drift, and hypothesis testing - Experience in production level ML solutions. Ex – GIT, Modular coding and ML Pipelines - Good communication ...
... of data you find satisfaction in messy datasets made clean and hard questions made answerable.- Strong hands-on experience in data research, data quality/QA, data science, or analytics engineering (typically 5 - 9 years).- Fluency with Python and SQL and modern data tooling; comfort digging into large, real-world datasets.- ...
... architects, engineering teams, and business stakeholders. Required Skills - 10+ years of overall technology/consulting experience. - 7+ years of experience in Data Engineering, Big Data, Data Platforms, or Analytics. - Strong hands-on experience with Databricks . - Experience delivering 6–8+ end-to-end Databricks projects ...
... ETL/ELT data pipelines using Azure and Databricks.- Develop and optimize data processing solutions using PySpark.- Build and manage data pipelines using Azure Data Factory (ADF).- Work with Databricks for data ingestion, transformation, processing, and optimization.- Write complex and optimized SQL queries for data extraction ...
... applications across AWS, Azure and GCP environments- Design and optimize ETL/data pipelines for large-scale AI and analytics workloads- Leverage Spark and Snowflake for big-data processing- Contribute to Agentic AI systems enabling intelligent and autonomous decision-makingEducation :- Bachelors degree in Computer Science, Data Science, ...
... SAFe, PMI ACP, or Scrum related credentials Experience working with manufacturing, supply chain, finance, commercial, engineering, or other enterprise business data domains The Data Program Manager will be an effective communicator and enterprise leader who can bring structure to ambiguity, align diverse stakeholders, and ...
... role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and ...
... Knowledge of pandas, PySpark, or equivalent; - Knowledge of columnar storage and time-series analytics; - Familiarity with Dataplex; - Understanding of Change Data Capture patterns using Datastream; - Understanding of bitemporal data modeling concepts; - Understanding of financial reference data; - Familiarity with BigQuery ...
... Qualifications :- Experience in a product-centric or SaaS company.- Familiarity with MLOps principles and the data architecture required to support machine learning models and GenAI applications.- Relevant professional cloud certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate). (ref:hirist.tech)
... collaborative people. Each designer brings a unique lens to the table to help us realize our goal of designing software that is driven by empathy and validated with data. Seismic continues to expand our product design team, and we're looking for a passionate and talented Product Designer to help us design and build the next generation ...
... experience in a finance-related role, preferably in a business analysis capacity. Strong analytical and problem-solving skills. Proficiency in financial modelling and data analysis tools (e.g., Excel, Power BI). Excellent communication and interpersonal skills. Ability to work collaboratively in a team environment and manage multiple ...
... and lines of business teams Strong technical and analytical skills, including Excel, PowerPoint, Essbase, Visual Basic and macros Ability to navigate multiple data sets and synthesize into cohesive presentation and recommendations Detail oriented with the ability to work well under pressure, handling multiple projects and ...
... related samples. HPLC Perform instrument calibration, preventive maintenance, and routine performance checks. Interpret chromatographic and mass spectrometric data accurately and prepare analytical reports. Review raw data, ensure data integrity, and maintain complete documentation in accordance with laboratory quality systems. ...
... institute - Experience in Product Analytics, Management Consulting, Business Strategy, or Sales/Marketing Analytics roles. - Strong SQL expertise for large-scale data analysis and reporting. - Experience with BI tools such as Superset, Tableau, Power BI, or Looker. - Solid understanding of product analytics, marketing metrics, ...
... investment projects are diverse by nature. The jobholder has to demonstrate a deep understanding of the business value drivers and their interactions, creating a big picture of the outcomes of a decision. It requires a good understanding of the business and an ability to ask the right questions to the right people, i.e. to ...
... infrastructure. You will own the end-to-end data architecture vision from ingestion and transformation to analytics, ML enablement, governance, and cost optimisation. Data Architecture and Platform Design: Architect scalable data lakehouse and warehouse platforms Define canonical data models and domain-driven data architecture Design ...
... including:1. Natural Language Processing5. Computer Vision- Strong programming skills in Python, R or other relevant programming languages.- Experience working with Big Data technologies such as Hadoop, Spark and SQL.- Experience with one or more cloud platforms such as AWS, GCP or Azure.- Experience in the financial services ...
Job Title: Finance Executive/Sr. We are seeking a detail-oriented, experienced Finance Executive/Senior Finance Executive to manage end-to-end accounting with a strong focus on TDS, GST compliance, project and cost centre accounting.