... Microsoft data and AI solutions align with Darktrace's architecture principles, Azure landing zones, security standards and platform roadmaps.- AI solutions operate within agreed observability, evaluation, monitoring and operational governance controls.- Copilots and agents deliver reliable, auditable and trusted outcomes with ...
... topic-modeling and trace-clustering approaches (Clio-style summarize-then-embed pipelines, BERTopic, c-TF-IDF) is a strong plus - Proficient in Python and the standard data-science stack (pandas, scikit-learn, statsmodels, numpy) - Data engineering competence — you can design and ship ETL and data models (dbt or equivalent), not ...
... integrity of clinical data through rigorous quality control and validation checks. - Mentoring and guiding junior programmers and providing technical leadership within the data science programming team. Your Profile: You will have solid clinical data science experience, with the ability to manage competing priorities and develop ...
... actionable business strategy, translating technical insights into intuitive dashboards that drive decision-making for senior leadership. You will collaborate closely with cross-functional product, engineering, and operations teams to identify performance bottlenecks, optimize data workflows, and ensure data integrity across our ...
... multiple sources.- Experiment with statistical and machine-learning algorithms to improve forecasting accuracy.- Deploy models into production and continuously monitor their performance.- Collaborate with product and business teams to convert complex data insights into practical business strategies.MUST-HAVE SKILLS :- Data ...
... Key responsibilities : Design and develop data models using generative AI and LLM technologies. Implement retrieval-augmented generation techniques to improve data accessibility. Analyze complex datasets to extract actionable insights and drive strategic initiatives. Collaborate with cross-functional teams to define project ...
... disciplined quality-control practices throughout the task creation and review process. Requirements - Professional experience in data entry, data validation, quality assurance, or a closely related field. - Experience working with high-accuracy or data-integrity-sensitive processes. - Strong ability to identify data inconsistencies, ...
... product analysis to identify trends, patterns, and opportunities for product improvement and growth. Write complex SQL queries and use Python to perform advanced data analysis Collaborate with product managers, engineers, and other stakeholders to understand their data needs and provide them with the insights they need to make ...
Education Role description ~ Bachelor's degree in Computer Science, Computer Engineering, Data Analytics, Business Analytics, or a relevant field. Required Experience 3+ years of experience in a Data Analyst, Business Analyst, BI Analyst, or similar role. Professional experience working with life science domain Demonstrated ...
... compliance-sensitive data environments Core Skills - Data Entry - Data Validation - Data Quality Assurance - Error Detection - Data Reconciliation - Accuracy Control - Data Integrity - Format Reconciliation - Dataset Curation - CSV & Spreadsheet Validation - PDF Data Review - Document Validation - Quality Control - Evaluation Rubric ...
... including keyword bidding, CPM, CPC, CPA, etc. Excellent analytical and problem-solving skills with the ability to translate data into actionable insights. Proven ability to work effectively in a fast-paced environment and manage multiple projects simultaneously. Exceptional communication and presentation skills with the ability ...
... visualization, and business intelligence initiatives across multiple industries. The role requires strong analytical skills, frequent client interaction, and the ability to translate business problems into effective analytical and BI solutions while collaborating closely with Data Engineering teams. The ideal candidate should ...
... reporting cycles with dependable, decision-ready data - Monitor data quality across systems and proactively highlight risks or inconsistencies - Identify opportunities to streamline processes, reduce manual effort, and improve efficiency - Ensure confidentiality and compliance with internal controls and data governance standards ...
... cross-validation, hyperparameter tuning, feature engineering, and model comparison. Experience selecting appropriate algorithms based on business objectives, data characteristics, interpretability requirements, and model performance. Experience with model interpretability and explainability, using techniques such as SHAP, ...
We are seeking an experienced Lead Data Analyst to work on large-scale Energy & Utilities datasets. The ideal candidate will be responsible for analyzing tariff and pricing data, building data models, automating workflows, and delivering actionable insights to support business decisions.Role: Lead Data AnalystExperience: ...
... analytics, data engineering, and applied data science, with a strong focus on translating complex operational data into reliable financial insights. While reporting within the Finance team, this role will also partner closely with the Payment Operations team, helping improve the data, controls, and automation behind high-volume ...
... lending clients, taking ownership from problem definition through analysis and final delivery. The work may involve business problem solving, insight generation, data validation, dashboards, reports or client presentations. This role is suited to someone who is hands-on with data and can clearly explain what the analysis means ...
... (Azure AI Foundry, Cognitive Services).- Solid understanding of ETL/ELT pipelines, data modeling (dimensional / data vault), and orchestration tools.- Familiarity with Microsoft Purview (or equivalent) for data governance, cataloging, and lineage, plus working knowledge of Azure security, networking, and identity (Entra ...
... experience with container orchestration, SQL datastores (MySQL/Postgres), and Infrastructure as Code; experience designing systems across multiple regions and availability zones. - Communication & Influence: Demonstrated ability to drive technical consensus across org boundaries, mentor senior engineers, and translate platform strategy ...