2627 Data Science Jobs - Page 39

- Strong understanding of ML algorithms (regression, classification, clustering) with the ability to independently develop and scale models using Python. - Experience in commercial analytics with a knack for translating business problems into analytical solutions and strategic recommendations. - Proficient in Power BI to build intuitive dashboards and deliver insights in a clear, actionable format. - Strong storytelling and communication skills to convey complex analytical findings to both technical and non-technical audiences. - Demonstrates ownership and leadership, driving projects from idea to impact with minimal supervision. SKILLS Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Python, Data Science

- Strong understanding of ML algorithms (regression, classification, clustering) with the ability to independently develop and scale models using Python with minimal supervision - Experience in commercial analytics with a knack for translating business problems into analytical solutions and strategic recommendations. - Proficient in Power BI to build intuitive dashboards and deliver insights in a clear, actionable format. SKILLS Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Python, Data Science

- Strong understanding of ML algorithms (regression, classification, clustering) with the ability to independently develop and scale models using Python. - Experience in commercial analytics with a knack for translating business problems into analytical solutions and strategic recommendations. - Proficient in Power BI to build intuitive dashboards and deliver insights in a clear, actionable format. - Strong storytelling and communication skills to convey complex analytical findings to both technical and non-technical audiences. - Demonstrates ownership and leadership, driving projects from idea to impact with minimal supervision. SKILLS Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Python, Data Science

Proficient: Languages/Framework: Fast API, Azure UI Search API (React) Cloud: Azure Cloud Basics (Azure DevOps) Gitlab: Gitlab Pipeline Ansible and REX: Rex Deployment Data Science: Prompt Engineering + Modern Testing Data pipeline development Understanding of AI/ML algorithms and their applications MLOps frameworks Knowledge of cloud platforms (Azure ML especially) Model deployment process Data pipeline monitoring Languages/Framework: Azure Open AI Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search Databases and ETL: Azure Storage Account, Postgresql, Cosmos Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) Knowledge of cloud platforms (AWS SageMaker, Google AI Platform) Expertise in data preprocessing, feature engineering, and model evaluation Understanding of software engineering principles (version control, CI/CD, containerization) Familiarity with distributed computing and big data tools (Spark, Hadoop) Ability to optimize models for performance and scalability Experience with Azure AI Search Desired skills* Azure DevOps; MLOps frameworks; Postgresql; Cosmos Domain* Investment , Banking

F2F Weekend Drive - Bangalore- 14th June - DS Gen AI Job description We are having a F2F weekend drive for the requirement of a Data Scientist + Gen AI at our LTIM Bangalore Whitefield office. Date - 14th June 2025 Experience - 6+ Years Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS, AI/ML, NLPt Location - LTIMindtree Bangalore Whitefield Office Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment Generic JD- More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen.

signdesk is looking for Consultant- AI Developer to join our dynamic team and embark on a rewarding career journey Develops AI-powered applications and tools for business use cases Builds machine learning models and optimizes their deployment Works closely with clients to define AI strategy and solutions Contributes to research, documentation, and training modules

10 years of experience in Data ScienceML domain Should have experience in Python and libraries like pandas numpy scikitlearn etc Have worked on building ML models and integrating it with application end to end Have knowledge on Recommender engines and the ML models running behind it like ALS and LightFM Have experience in Azure Machine Learning and Azure Services Have experience in deploying models in cloud environment and exposing it as an API Good communication and presentation skill Ability to deliver ML projects as an individual contributor

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.

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.

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.

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.

Job Description: Job Summary As a Data Analyst at Bluphlux, you will play a crucial role in leveraging data to enhance our recruitment processes. You will work closely with our team to analyze data trends, develop insights, and support the continuous improvement of our AI-driven recruitment solutions. Key Responsibilities Analyze large datasets to identify trends and patterns that can improve recruitment processes. Collaborate with cross-functional teams to develop data-driven insights and strategies. Support the development and refinement of our AI algorithms by providing data analysis and feedback. Create reports and visualizations to communicate findings to stakeholders. Ensure data accuracy and integrity in all analyses and reports. Required Qualifications Bachelors degree in Data Science, Statistics, Computer Science, or a related field. Proven experience as a Data Analyst or in a similar role. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Proficiency in data analysis tools such as SQL, Python, or R. Excellent communication skills, both written and verbal. Preferred Skills Experience in the recruitment or HR industry. Familiarity with AI and machine learning concepts. Ability to work in a fast-paced, innovative environment.

SUMMARY We are looking for a Machine Learning Scientist who is passionate about aiding India s emergence into an AI superpower and about applying AI and ML to solve high-impact societal challenges, especially in the area of large language models (LLMs). The ideal candidate will have a strong research or applied background with 6+ years of relevant experience or a PhD, and expertise in designing and implementing machine learning models, including LLMs, data analysis, and simulations. They should enjoy interfacing with disparate internal and external stakeholders, mentoring junior scientists and developers, working in cross-functional teams, and contributing to ML evaluations and practical deployments. A demonstrated commitment to social good, strong communication skills, and the ability to translate complex problems into deployable ML solutions are essential. ABOUT US - https://www.wadhwaniai.org/ Wadhwani AI is a nonprofit institute building and deploying applied AI solutions to solve critical issues in public health, agriculture, education, and urban development in underserved communities in the global south. We collaborate with governments, social sector organizations, academic and research institutions, and domain experts to identify real-world problems, and develop practical AI solutions to tackle these issues with the aim of making a substantial positive impact. Pertinent to this role, Wadhwani AI also works closely with the Ministry of Electronics and Information Technology (MEITy), Government of India, in helping flesh out the various pillars of the India AI mission. We have over 30+ AI projects supported by leading philanthropies such as Bill & Melinda Gates Foundation, USAID and Google.org. With a team of over 200 professionals, our expertise encompasses AI/ML research and innovation, software engineering, domain knowledge, design and user research. In the Press: Our Founder Donors are among the Top 100 AI Influencers G20 India s Presidency: AI Healthcare, Agriculture, & Education Solutions Showcased Globally. Unlocking the potentials of AI in Public Health Wadhwani AI Takes an Impact-First Approach to Applying Artificial Intelligence - data.org Winner of the H&M Foundation Global Change Award 2022 Indian Winners of the 2019 Google AI Impact Challenge, and the first in the Asia Pacific to host Google Fellows ROLES AND RESPONSIBILITIES As an ML Scientist working with our team at the India AI Mission, you will be responsible for critically evaluating LLM solutions, building machine learning solutions to problems of societal importance, and mentoring other team members in this effort. You will participate in stakeholder engagements, setting critical requirements, problem definition and the development and execution of algorithms and solutions to the problems. You will need to understand user challenges and their context, curate and transform data, train and validate models, run simulations, and broadly derive insights from data. In doing so, you will work in cross-functional teams spanning administration, engineering, solutions, domain experts, and designers. You will also work closely with social sector organisations and are encouraged to collaborate with researchers across the world. REQUIREMENTS This role requires the candidate to work out of the India AI Mission office at MEITy, Government of India. M.Tech./M.E./M.S./M.Sc. or equivalent in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, Economics or a relevant quantitative field with work experience of 6+ years or a PHd from a reputed institute. We are looking for ML Scientists with experience applying AI, machine learning, and data science to real-world problems. Ideal candidates should have a strong research background, be familiar with the state of the art especially in foundational models and LLMs, have experience in mentoring junior scientists and developers through strong code practices and ideation, and be adept at a variety of data mining/analysis methods and tools, building and implementing models, visualising data, creating/using algorithms, and running simulations. Candidates should be completely comfortable working with cross-functional teams in an uncertain and fast-paced environment, and must have excellent oral and written communication skills and a track record of driving projects to completion. Evidence of written skills through high quality research publications is a plus. Candidates should be passionate about using their technical skills to solve large societally important problems.

Internal Title: Data Science Lead Analyst External Title: Data Science Lead Analyst Role Summary As a member of the Data Science Center of Expertise (DSCOE), the DS Lead Analyst is responsible for leading and enabling Data Science within Cigna Group with demonstrable aptitude in Data Science (i) Technical Skills (ii) Leadership (iii) Scope & Impact (iv) Influence. Please see Qualifications section below for more details. The role will support the development and maintenance of machine learning models, with a focus on ensuring that models meet Cigna s requirements for governance and legal compliance. The role will require collaboration with other data scientists and involve work across many lines of business. Key Responsibilities: Analyze model performance of new models with specific regards to requirements for legal compliance and governance standards around accuracy and bias; Perform periodic analyses of performance of existing models to ensure continued compliance with internal and external standards for accuracy and bias; Conduct research (i.e. literature review) to understand when bias may be biologically or medically justifiable, and to what degree, for example: finding evidence from literature that heart disease is more prevalent among older populations Using machine learning development tools to mitigate model bias when this is determined to be necessary Collaborating with data scientists, business stakeholders, and governance/compliance teams to ensure models meet compliance and governance standards Qualifications: Bachelors or Masters/PhD (preferred) in statistics or computer science or equivalent field with 5-8 years of relevant experience Strong proficiency in ML, statistics, python or R, SQL, version control (e.g., Git), health care data (e.g., claims, EHR) Ability to promote best coding practices, championing a culture of documentation/logging Thorough understanding of ML lifecycle, including necessary tradeoffs and associated risks Leadership in Data Science Can own a project end-to-end e.g., scoping, business value estimation, ideation, dev, prod, timeline Collaborates and guides junior team members in completion of projects and career development Works cross functionally with technical (e.g., Data Science, Data Engineering) and business (e.g., clinical, marketing, pricing, business analysts) to implement solutions with measurable value Scope and Impact Independently delivers clear and well-developed presentations for both technical and business audiences Creates data science specific project goals associated with project deliverables Articulates timeline changes, rationale, and goals to meet deadlines moving forward Values diversity, growth mindset, and improving health outcomes of our customers Level of Influence Communicate with stakeholders to identify opportunities and possible solutions based on business need Draft project charter, timeline, and features/stories Influence matrix-partner leadership About Evernorth Health Services

LT Finance Limited is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey. Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LT Finance Limited is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey. Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LT Finance Limited is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey. Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LT Finance Limited is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey. Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LT Finance Limited is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey. Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LT Finance Limited is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey. Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LT Finance Limited is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey. Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LT Finance Limited is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey. Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

LT Finance Limited is looking for ML OFFICER to join our dynamic team and embark on a rewarding career journey. Develop, implement, and optimize machine learning models to address organizational needs Collaborate with data scientists, engineers, and business teams to design solutions aligned with strategic goals Ensure scalability and performance of ML algorithms in production environments Analyze complex datasets to extract insights and identify patterns for predictive analytics Monitor and evaluate the performance of ML systems, making adjustments to improve accuracy and reliability Research and implement new methodologies, tools, and frameworks to advance the organization's ML capabilities Provide technical expertise and mentorship to junior team members on machine learning best practices Communicate technical concepts and findings to non-technical stakeholders effectively Ensure compliance with ethical and legal standards in the deployment of ML models Stay updated with advancements in AI/ML technologies to keep the organization at the forefront of innovation

Senior Data Scientist - S&A Now, more than ever, the Toast team is committed to our customers. We re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. We focus on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we ll deliver on their needs for today while investing in experiences that will power their restaurant of the future. Bready* to make a change? As the Senior Data Scientist in our Bangalore Data Science team, you will contribute to building machine learning algorithms using our huge reservoir of point of sale transaction data. You will work with architects, engineers and product managers to solve business and customer problems and turn machine learning models into business impact across product lines, including financial processing and fraud. About this Roll* : Design, build, train and evaluate machine learning models to drive business value for Toast and our restaurant customers Collaborate closely with internal and external product stakeholders, both technical and non-technical and help translate deep machine learning knowledge to product applications Break down larger ML initiatives into smaller problems that enables data science to deliver incremental business value and lead the team to execute on them Work closely with Production Engineering and Data Platform teams to deploy models to production and regularly monitor for efficiency, key KPIs and enhance them as needed Work with incident response and problem resolution teams to check and resolve any problems/challenges as and when identified in the model deployed in the production Effectively document all steps and manage code repositories for easy scalability and knowledge sharing with the the team Incorporate up-to-date ML technology and DS approach as best practice for the team Help in continuing to build out and expand the Data Science and ML Engineering teams Work effectively in a dynamic, changing environment while focusing on key goals and objectives Do you have the right ingredients* ? Advanced degree in Data Science, Statistics, Applied Math, Computer Science, Engineering or other equivalent quantitative disciplines 6 + years of industry experience in the field of Data Science and Machine Learning Experience in time series modelling. Familiarity with ARIMA, SARIMA, ETS, VAR models. Familiarity with forecasting tools like Facebook Prophet, GluonTS, or NeuralProphet. Strong proficiency in Python and SQL; experience with some of the following languages, tools, and frameworks: R, Spark, Scala, scikit-learn, Tensorflow, PyTorch, etc. Familiarity with standard software engineering practices and tools including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration (Airflow, Luigi, etc.) and preferably AWS tooling (Sagemaker, DynamoDB, ECS, etc.) Strong knowledge of underlying mathematical foundations of statistics and machine learning Prior success deploying machine learning solutions in large-scale production environments Experience collaborating with cross-functional teams and stakeholders to evaluate new Machine Learning opportunities Problem solver who loves to dig into different kinds of data and can communicate their findings to cross-functional stakeholders Bonus ingredients* : Passion for research and curiosity that calls you to go beyond good enough to create something innovative and exciting Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https: / / careers.toasttab.com / locations-toast . Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact . ------ For roles in the United States, It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Reporting Development and Data Integration Assist with data projects related to integration with our core claims adjudication engines, eligibility, and other database items as necessary Support the data leads by producing ad hoc reports as needed based on requirements from the business Report on key milestones to our project leads Ensuring all reporting aligns with brand standards Ensuring PADU guidelines for tools, connections, and data security Build a network with internal partners to assist with validating data quality Analytical Skills Utilization Applying analytical skills and developing business knowledge to support operations Identify automation opportunities through the trends and day to day tasks to help create efficiencies within the team Perform root cause analysis via the 5 why root causing to identify process gaps and initiate process improvement efforts Assist with user testing for reports, business insights dashboards, and assist with automation validation review 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: Degree or equivalent data science, analysis, mathematics experience Experience supporting operational teams' performance with reports and analytics Experience using Word (creating templates/documents), PowerPoint (creation and presentation), Teams, and SharePoint (document access/storage, sharing, List development and management) Basic understanding of reporting using Business Insights tools including Tableau and PowerBI Expertise in Excel (data entry, sorting/filtering) and VBA Proven solid communication skills including oral, written, and organizational skills Proven ability to manage emotions effectively in high-pressure situations, maintaining composure, and fosters a positive work environment conducive to collaboration and productivity Preferred Qualifications: Experience leveraging and creating automation such as macros, PowerAutomate, Alteryx/ETL Applications Experience working with cloud-based servers, knowledge of database structure, stored procedures Experience performing root cause analysis and demonstrated problem solving skills Knowledge of R/Python, SQL, DAX or other coding languages Knowledge of multiple lines of business, benefit structures and claims processing systems