Job Search Results for data scientist

We are hiring a Data Scientist for a full-time, permanent role, based in Calgary. In this role, you will own the full lifecycle of data products?from ideation and complex modeling through deployment,... More monitoring, and iteration?while enabling business teams to maximize impact. You?ll work on high-impact FinTech problems spanning fraud mitigation, credit risk, and growth optimization, partnering closely with cross-functional teams to translate complex business problems into production-grade, data-driven solutions.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

Insight Global is seeking a Data Scientist to support one of our largest telecom customers' Internet Product team. This role is heavily focused on building and deploying machine learning models that... More drive business decisions across outage detection, customer segmentation, and product rollout strategy.The majority of the work will involve hands-on statistical modeling and data preparation, leveraging large internal and third-party datasets. A strong emphasis is placed on machine-learning-driven insights, particularly around detecting outages, identifying competitive performance gaps, and classifying customer usage behaviors. There will be a portion of this role that encompasses ad-hoc requests which will require creative and critical thinking for solutioning. Pay Range: $60-67We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

Position SummaryThe Data Scientist provides advanced analytics, modeling, and data-driven decision support across enterprise functions. This role includes designing and developing machine learning... More models, performing statistical analysis, and collaborating with partners to frame problems, gather relevant data, and translate insights into strategic business recommendations. The Data Scientist ensures model development and deployment aligns with enterprise governance standards and drives measurable impact across key performance areas.Key Responsibilities:Translates complex business problems into analytical solutions using machine learning, statistical modeling, and AI techniquesDesigns, develops, and evaluates models and algorithms for classification, prediction, clustering, and optimizationWorks closely with data engineers and platform administrators to ensure proper data pipelines, infrastructure readiness, and scalable solutionsCommunicates findings and insights clearly to both technical and non-technical stakeholdersAdheres to enterprise model governance standards, including documentation, validation, and risk assessmentPartners with business and technical teams to ensure models are continuously monitored and updated as neededUtilizes structured and unstructured data from various systems (internal and external) to enhance model accuracy and performanceStays current on emerging techniques and tools in data science and applies them where appropriateWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

JDevelop, deploy, and maintain scalable machine learning models and analytical workflows using Databricks, Apache Spark, and cloud-based data platforms.Partner with financial domain stakeholders to... More understand business challenges related to risk, compliance, fraud, lending, investments, and customer analytics.Perform hands-on data exploration, feature engineering, statistical analysis, and modeling using Python, SQL, and Spark.Collaborate with data engineering teams to build reliable data pipelines and ensure high-quality, production-ready datasets.Communicate complex technical findings to non-technical audiences; present actionable insights to business leaders.Apply deep financial services expertise to ensure models meet regulatory expectations (e.g., model documentation, audit, transparency, fairness).Optimize workflows for performance and cost efficiency within Databricks and cloud environments.Design experiments and evaluate model performance using best practices in ML Ops, version control, and reproducibility.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

We are seeking a Senior Data Scientist to drive strategic insights and decision making through advanced analytics. This role partners closely with cross functional teams to tackle complex, ambiguous... More business problems and translate data into clear, actionable recommendations.The ideal candidate has deep experience in analytics and strategy, strong business acumen, and hands on expertise in SQL, Python or R, and data visualization tools such as Tableau. You will apply statistical and machine learning techniques, communicate insights through compelling narratives, and influence stakeholders without formal authority.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

The Senior Data Scientist will play a pivotal role in driving data-driven decision-making processes and developing advanced analytical models. This may involve leading or participating in cross... More functional/operating units? collaborations to define and develop applications of Artificial Intelligence and Machine Learning towards solving insurance problems. Building, refining, and improving existing models as well as developing new techniques and applications to different areas of insurance. The role requires a blend of strong technical expertise, statistical analysis, software engineering and a deep understanding of the insurance industry.? Collaborate with cross functional teams, including Actuaries, Underwriters, Product Managers to identify and define data science initiatives aligned with BRSS business goals and strategy.? Develop predictive models to assess risks and loss probabilities, enabling effective underwriting decisions and pricing strategies.? Utilize Machine Learning algorithms and statistical methods to analyze insurance trends, customer behaviors and market dynamics.? Design and implement experiments to test hypotheses and provide intuitive solutions to what happened, when, where and why, using data to enhance customer retention and profitable growth.? Create visualizations, dashboards, and slide decks to effectively communicate complex findings to non-technical stakeholders.? Conduct exploratory data analysis to identify patterns, anomalies, and opportunities for process improvements.? Collaborate with data engineers to develop data pipelines and integrate data sources ensuring data quality and integrity.? Build platforms and applications to accelerate data science operations including Model Monitoring and improve process efficiencies of business workflows.? Stay abreast of industry trends, emerging technologies and best practices in data science and insurance analytics.Pay rate ranges $55/hr - $65/hrWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

A fortune 100 company is seeking a Data Scientist for a contract to hire role that will work onsite 3 days a week in the Bengaluru India area. You will join a small and highly collaborative team that... More is responsible for rapid prototyping. To be successful, you will need to have a positive mindset, proactive problem solving mentality that strives to deliver solutions to the customer.This individual will be responsible for the following:Partner with business users and leaders in problem solving approaches and exploring business challenges that can be addressed with data science and machine learning. Learn and understand Business domain, and co-develop narratives guiding business users through ideation and estimation on solutions that drive business value.Analyze data, build statistical & machine learning models and algorithms. Improve upon existing machine learning methodologies by identifying new data sources, developing and testing model enhancements, running computational experiments, and fine-tuning model parameters for new models. Formalize assumptions about how models are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them, and ensuring deliverables meet scope, quality and timeline targets.Proven experience and knowledge of Python, R, with strong SQL skills. Strong knowledge of visualization in Power BI & experience of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.Proven experience and knowledge of a variety of machine learning techniques (clustering, decision tree learning, etc.) along with Experience in an Azure environment highly preferred, combined with Experience working with enterprise scale databases, with demonstrated ability to independently query and prepare data for analysis.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

Synthesize.ai ? Technical Requirements Document (External Vendor Version)1. Project OverviewSynthesize.ai is Southern Company?s advanced analytics and machine-learning platform designed to improve... More the quality, continuity, and analytical usefulness of AMI interval data across APC, GPC, and MPC. The platform will use AI/ML to perform data gap-fill, usage reconstruction, and short-term/long-term forecasting, and enable downstream analytics.The primary objective for this vendor engagement is to deliver a production-grade, scalable, accurate ML-based gap-fill and forecasting engine that can be integrated into Southern Company's data ecosystem.2. Scope of Work2.1 Core Functional RequirementsA. Data Gap-Fill EngineDevelop or extend models that can:? Fill missing AMI interval data at 15-minute and hourly resolutions? Handle short gaps (<2 hours) and long gaps (1?72 hours) with model-based reconstruction. ? Produce reconstruction confidence scores for each interval.? Incorporate:o Weather (temperature, humidity, solar irradiance)o Calendar effects (weekday/weekend, season)o Outage periods (explicitly excluding outage windows from prediction) B. Predictive Usage Modeling? Short-term usage prediction (next 24?48 hours)? Longer-horizon predictions (up to 7?14 days)? Ability to run inference on millions of meter records across all OpCos C. MLOps and Deployment? Run natively on Databricks within Southern Company?s secure cloud (no external hosting). ? Provide automated pipelines for:o Trainingo Batch inferenceo Monitoring and accuracy drift detection? Deliver source code, notebooks, CI/CD scripts, and documentation.3. Data Inputs & Volumes3.1 Data Sources? AMI interval data ? Weather feeds ? Outage metadata? Billing calendar markers (not used for billing VEE; for analytics only) 3.2 Data Characteristics? 96 intervals/day per meter (15-min)? Multi-year historical availability (1?3 years)? High presence of gaps, including consecutive missing intervals4. Performance Requirements4.1 Model(s) AccuracyMeasurable model KPIs for:? MAE / RMSE for filled intervals? Gap-fill bias (interval-level and daily aggregated)? Performance across:o 15-minute kWho Hourly kWho Golden meters (consecutive gap conditions)o Non-gold meters (random missing intervals) 4.2 ScalabilityModel(s) must:? Process 4.4M meters (15-min resolution) in batch production cycles ? Support parallelization / Spark-based architecture4.3 Operational Expectations? Runtime targets defined for daily and weekly pipelines? Monitoring hooks for:o Model drifto Data Anomalieso Input/outage alignment issues5. Deliverables1. ML Models & Codebaseo Gap-fill models (primary deliverable)o Forecasting modelso Modular architecture for future extensions2. Documentationo Model(s) documentationo Data dictionarieso Deployment runbooks3. MLOps Pipelineso Orchestrated Databricks jobso Git-based CI/CD workflows4. Dashboards / Visual QA Toolso before/after gap-fill visualizationso overlay and comparison tools5. Training & Knowledge Transfero Sessions for AMI Data Science teamo Code walkthroughso Handover documentation6. Non-Functional Requirements6.1 Security? All work must remain within Southern Company?s cloud environment ? No external data movement permitted6.2 Governance? Conform to Southern Company metadata, tagging, and logging standards? Models must not be used for billing (analytics-only) 6.3 Vendor Collaboration Expectations? Weekly progress meetings with Solomon, Joyce S. and project team ? Transparent issue escalation? Ability to collaborate using Jira (AMI team instance)? PM is already instated? 1 Data Scientist from AMI DSA will work in this project7. Evaluation Criteria for Vendors? Technical strength and ML methodology? Scalability and cloud architecture alignment? Experience with utility AMI datasets? Clarity of proposed MLOps approach? Documentation quality? Speed to delivery? Total cost and licensing structureWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

A client of Insight Global is looking for a Senior Data Scientist to join their team. This individual will participate in all phases of the data and analytics lifecycle, including specifying data... More capture requirements, analyzing patterns and trends in structured and unstructured data to provide insights on projects that span all facets of the Enterprise. Take these finding and synthesize them into dashboards or presentations that convey insights and recommendations through storytelling, while maintaining a balance between the big picture and mastery of details.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less

A client of Insight Global is seeking a senior-level Data Scientist with deep expertise in Python-based analytics, machine learning, and large-scale data systems to design, develop, and productionize... More end-to-end machine learning solutions. This role is responsible for translating complex business problems into scalable analytics use cases; building, testing, and deploying advanced ML models; developing model scoring code; working with large batch and streaming datasets; partnering with data engineering, platform, and DevOps teams to integrate solutions via CI/CD pipelines; contributing to data architecture decisions involving data warehouses and marts; applying strong logical, mathematical, and analytical reasoning to model evaluation and data quality; synthesizing results into clear insights; communicating recommendations to technical and non-technical stakeholders; mentoring others; and continuously expanding technical skills in evolving analytics and ML technologies.This position will be a hybrid role- 3 days a week onsite in Greenwood Village CO and will pay between $50-65 per hour.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Less