524 Predictive Analytics Jobs - Page 14

Description. The Head of AI Innovation will be responsible for conceptualizing, leading, and executing artificial intelligence initiatives across GarbhaGudi IVF to enhance clinical outcomes, streamline workflows, personalize patient engagement, and drive strategic advantage. This role bridges healthcare expertise, data science, and innovation leadership in a fast-evolving IVF ecosystem.. Job Responsibilities. Key Responsibilities. AI Strategy Development & Leadership. Define and implement a roadmap for AI adoption in clinical, patient, and back-office functions.. Identify high-impact use cases aligned with organizational goals—such as embryo selection, treatment prediction, patient follow-up automation, and inventory management.. Evaluate and deploy AI tools or build custom models with internal or external data science partners.. Clinical AI Applications. Collaborate with embryologists and clinicians to integrate AI into embryo grading, cycle prediction, imaging, and outcome forecasting.. Lead trials or pilots of AI models that improve treatment precision and success rates.. Ensure medical accuracy, ethical AI use, and patient data protection in all implementations.. Operational AI & Process Automation. Introduce AI-driven solutions for:. Demand forecasting. CRM and patient communication automation. Chatbots for pre-consultation and FAQs. Staff workload optimization. Data Governance & Infrastructure. Work with IT and Data teams to improve data quality, integration, and accessibility across departments.. Ensure adherence to HIPAA-like standards and ethical AI usage.. Build or supervise a centralized data warehouse or AI-ready ecosystem.. Vendor and Ecosystem Collaboration. Identify, evaluate, and manage partnerships with AI tech companies, academic institutions, and healthcare startups.. Represent GarbhaGudi at AI in Healthcare forums, summits, and collaborations.. Qualifications. Candidate Profile:. Master’s or PhD in Artificial Intelligence, Data Science, Computer Science, Biomedical Engineering, or related field.. Additional certification or exposure to healthcare informatics or medical data is highly preferred.. Experience. 7–10 years in AI development or AI strategy, with at least 2 years in healthcare or life sciences.. Demonstrated success in deploying AI models from pilot to production in a regulated environment.. Experience with medical imaging, NLP, predictive analytics, or patient behavior modeling is a plus.. Technical Skills. Familiarity with Python, TensorFlow, PyTorch, and cloud AI platforms (AWS, GCP, Azure).. Strong understanding of data science lifecycle, model validation, and ML Ops.. Ability to translate clinical requirements into technical AI solutions.. Soft Skills. Visionary thinker with hands-on execution capability.. Strong communication skills to align cross-functional stakeholders.. High integrity, discretion, and empathy in handling patient-centric innovation.. Success Metrics (First 12–18 Months). Launch of at least 2 AI pilots impacting core IVF functions (e.g., embryo grading or treatment personalization).. Measurable improvement in patient outcomes, efficiency, or lead conversion via AI.. Foundation for a scalable AI innovation lab or internal AI center of excellence.. Enhanced organizational readiness for data-driven decision-making.. Why Join GarbhaGudi IVF?. GarbhaGudi is a pioneer in compassionate and cutting-edge fertility care. This is a unique opportunity to shape the future of reproductive healthcare through ethical AI innovations that touch lives and build families. You’ll lead transformative initiatives in an environment that values science, empathy, and long-term impact.. Show more Show less

Our Company. We’re Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We’re crucial to the company’s strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market.. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole.. Imagine the sheer breadth of talent it takes to unleash a digital future. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.. Job Summary. We are seeking a highly skilled and analytical Senior Business Intelligence (BI) Analyst to join our team. The ideal candidate will have extensive experience in data analysis, reporting, and BI tools. This role will be crucial in transforming data into actionable insights to support business decision-making and strategy.. Key Responsibilities. Design, develop, and maintain BI solutions, including dashboards and reports.. Analyze complex data sets to identify trends, patterns, and insights.. Collaborate with business stakeholders to understand their data needs and provide analytical support.. Ensure data accuracy and integrity by performing data validation and quality checks.. Develop and implement data models and data visualization techniques.. Provide training and support to end-users on BI tools and reports.. Stay updated with the latest BI technologies and best practices.. Lead and mentor junior BI analysts within the team.. Qualifications. Bachelor's or Master's degree in Computer Science, Information Systems, Business Analytics, or a related field.. Extensive experience in business intelligence, data analysis, and reporting.. Proficiency in BI tools such as Tableau, Power BI, or QlikView.. Strong SQL skills and experience with data warehousing concepts.. Excellent analytical and problem-solving skills.. Strong communication and presentation skills.. Ability to work collaboratively with cross-functional teams.. Preferred Skills. Experience with cloud-based data platforms such as AWS, GCP, or Azure.. Knowledge of programming languages such as Python or R.. Familiarity with machine learning and predictive analytics.. Experience with Tableau, Power BI, and Looker is a plus.. Certification in BI tools or data analytics.. About Us. We’re a global, 1000-strong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We’re curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you’re not just another employee; you’re part of a tradition of excellence and a community working towards creating a digital future.. Championing diversity, equity, and inclusion. Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team.. How We Look After You. We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.. We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.. Show more Show less

Overview Experience: 10 + Years Shift: 2-11 pm Location : Hyderabad /Bangalore /Chennai About Omnicom Global Solutions Omnicom Global Solutions is an integral part of Omnicom Group, a leading global marketing and corporate communications company. Omnicom’s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services to over 5,000 clients in more than 70 countries. Omnicom Global Solutions India plays a key role for our group companies and global agencies by providing stellar products, solutions, and services in the areas of Creative Services, Technology, Marketing Science (Data & Analytics), Advanced Analytics, Market Research, Business Support Services, Media Services, and Project Management. Responsibilities Client & Agency Service: We are seeking an experienced Data Analytics Manager with 10+ years of proven management and leadership experience. The ideal candidate will have strong Data Analytics skills and the ability to manage a growing team. This role involves overseeing projects through all stages of the project lifecycle, including initiation, scoping, planning, execution, and execution. This role will work closely with the project management team onshore to ensure that both onshore and offshore teams are aligned on weekly deliverables. Responsibilities: Leadership & Team Management Lead projects, manage people, and deliver results to business leads Focus on mastering team management and progressing into firm leadership Provide project oversight and strategic direction Collaborate with all employee levels to deliver meaningful work Manage a team of data analysts and assisting with unlocking their potential and shaping their growth Data Analytics & Strategy Translate business problems into analytical frameworks and models Develop and maintain data models, reporting systems, dashboards, and automation tools to support business decisions Implement quality control measures to ensure data integrity, consistency, and reliability. Guide the team in performing statistical analysis, predictive modeling, and business intelligence reporting. Design and implement technical processes for data intake, validation, mining, and engineering Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources Oversee the creation and delivery of reports, insights, and key performance metrics for business functions You will be working closely with: Global Finance Leaders / members of agency Finance Team and will have responsibilities to achieve group goals with respect to Reporting, Planning, Forecasting, Working Capital, and accounting support. Qualifications This may be the right role for you if you have. Requirements: Bachelor’s degree. Total 10+ overall years of experience in relevant field. 3+ years of management experience 8+ years of data analytics experience Proactive communicator and problem solver with strong attention to detail. Strong understanding of data confidentiality. Familiarity with Excel, PowerQuery, Alteryx Proven ability to influence cross-functional teams without direct authority. Ability to manage multiple high-priority projects simultaneously.

Job Description Summary Develop and maintain systems, rules, and processes to ensure fulfillment of internal and external requirements. Ensures that projects and products are capable and will meet specified standards (Preventive). In-depth understanding of key business drivers; uses this understanding to accomplish own work. In-depth understanding of how work of own team integrates with other teams and contributes to the area. GE Healthcare is a leading global medical technology and digital solutions innovator. Our purpose is to build a world where Healthcare has no limits. Our mission is to make life better for everyone across the world, and that all starts with the well-being and empowerment of our people. We are dedicated to creating a culture of compassion and empathy that helps us to create the collaborative, diverse and inclusive teams that will discover the solutions of tomorrow. Job Description Roles and Responsibilities Engineering Procure Construct tendering and project execution phases. Verify contractual and regulatory requirements are fulfilled and have maximized customer satisfaction and profitability. Establish and execute project quality plan, witness-points, quality records for compliance with contract. Ensure customer quality requirement, Feedback of Experience (FOE)/Lessons Learned are taken into account in the tender proposal to avoid deviation and to continually improve execution processes. Developing in-depth knowledge of a discipline. Uses prior experience and acquired expertise to execute functional policy/strategy. A job at this level is likely to be an individual contributor, with proven interpersonal skills. Communication with direct colleagues and the business about design and coordination services rendered. Provides informal guidance to new team members. Explains complex information to others in straightforward situations. Impacts projects, processes and procedures in own field. The role operates with some autonomy, but is focused on execution of activities/provision of advice within an enabling discipline covered by standard functional practices and procedures. Activities require professional judgment, but may require more senior levels of guidance. Utilizes technical expertise and judgement to solve problems. Leverages technical skills and analytic thinking required to solve problems. May use multiple internal sources outside of own team to arrive at decisions. Required Qualifications For roles outside of the USA- This role requires advanced experience in the Quality & QA Engineering. Knowledge level is comparable to a Bachelors degree from an accredited university or college ( or a high school diploma with relevant experience). For roles in USA - Bachelors degree from an accredited university or college (or a high school diploma / GED with at least 6 years of experience in Job Family Group(s)/Function(s)). Required Qualifications Bachelors degree from an accredited university or college in Engineering with at least 8 years of industry experience in core manufacturing. This role requires advanced experience in the Quality & Healthcare Quality. Desired Characteristics Project Selection - Assess risks with FMEA, analyze inefficiencies, and prioritize based on VoC feedback. Lean Problem-Solving - Apply DMAIC, and Lean tools like VSM, 5 Whys, Kaizen, Visual Management and Standard work Failure Prevention - Use Predictive Analytics, IOT, Industry practices to identify risks early. Digitization & Best Practices - Implement MES & ERP integration, and benchmarking for process optimization. Monitoring & Standardization - Track KPIs, conduct ROI analysis, and document solutions via SOPs & training. Strong oral and written communication skills. Demonstrated ability to analyze and resolve problems. Ability to document, plan, market, and execute programs. Established project management skill. Inclusion and Diversity GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. . Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you d expect from an organization with global strength and scale, and you ll be surrounded by career opportunities in a culture that fosters care, collaboration and support . Relocation Assistance Provided: No

About Ethos Ethos was built to make it faster and easier to get life insurance for the next million families. Our approach blends industry expertise, technology, and the human touch to find you the right policy to protect your loved ones. We leverage deep technology and data science to streamline the life insurance process, making it more accessible and convenient. Using predictive analytics, we are able to transform a traditionally multi-week process into a modern digital experience for our users that can take just minutes! We ve issued billions in coverage each month and eliminated the traditional barriers, ushering the industry into the modern age. Our full-stack technology platform is the backbone of family financial health. We make getting life insurance easier, faster and better for everyone. Our investors include General Catalyst, Sequoia Capital, Accel Partners, Google Ventures, SoftBank, and the investment vehicles of Jay-Z, Kevin Durant, Robert Downey Jr and others. This year, we were named on CB Insights Global Insurtech 50 list and BuiltIns Top 100 Midsize Companies in San Francisco. We are scaling quickly and looking for passionate people to protect the next million families! About the Role At Ethos, our Technical Program Managers operate within the Engineering organization and possess the technical knowledge to influence and drive cross-team projects and roadmaps. The ideal candidate will be an excellent communicator, comfortable in a flat, fast-moving organization, and eager to collaborate to solve difficult challenges. They will display high agility, allowing them to pivot as they lead the companys most pressing initiatives. To thrive in this role, we are looking for an individual who is highly organized and able to produce in high-pressure, time-sensitive scenarios. Duties and Responsibilities: Develop and manage end-to-end project plans and ensure on-time delivery. Partner closely with engineering and product leads to evolve Ethos product strategy and development. Provide hands-on program management during analysis, design, development, testing, implementation, and post-implementation phases. Perform the duties of a Scrum Master using agile methodologies and scrum practices. Provide day-to-day coordination for projects and tasks. Drive internal process improvements across teams and functions to ensure high-performance standards are met across the board. Assist teams with having a detailed understanding of agile and scrum frameworks. Participate in and facilitate roadmapping, sprint planning sessions, retrospectives, demos, and scrum of scrums. Help teams understand and balance dependencies between performance, efficiency, and product functionality. Map dependencies and relationships between projects and teams, coordinating efforts across organizations and verticals. Communicate status and the big picture to stakeholders and leadership. Work independently with minimal supervision. Qualifications and Skills: 8+ years of knowledge/work experience as a Technical Program Manager in a software development environment BA/BS degree or equivalent work experience. Experience developing, coaching, or managing teams. #LI-Hybrid #LI-DG1 Don t meet every single requirement? If you re excited about this role but your past experience doesn t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace.

As an Data Engineer at IBM you wi harness the power of data to unvei captivating stories and intricate patterns. You' contribute to data gathering, storage, and both batch and rea-time processing. Coaborating cosey with diverse teams, you' pay an important roe in deciding the most suitabe data management systems and identifying the crucia data required for insightfu anaysis. As a Data Engineer, you' tacke obstaces reated to database integration and untange compex, unstructured data sets. In this roe, your responsibiities may incude: Impementing and vaidating predictive modes as we as creating and maintain statistica modes with a focus on big data, incorporating a variety of statistica and machine earning techniques Designing and impementing various enterprise search appications such as Easticsearch and Spunk for cient requirements Work in an Agie, coaborative environment, partnering with other scientists, engineers, consutants and database administrators of a backgrounds and discipines to bring anaytica rigor and statistica methods to the chaenges of predicting behaviour’s. Buid teams or writing programs to ceanse and integrate data in an efficient and reusabe manner, deveoping predictive or prescriptive modes, and evauating modeing resuts Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Proof of Concept (POC) DeveopmentDeveop POCs to vaidate and showcase the feasibiity and effectiveness of the proposed AI soutions. Hep in showcasing the abiity of Gen AI code assistant to refactor/rewrite and document code from one anguage to another Document soution architectures, design decisions, impementation detais, and essons earned. Stay up to date with the atest trends and advancements in AI, foundation modes, and arge anguage modes. Evauate emerging technoogies, toos, and frameworks to assess their potentia impact on soution design and impementation Preferred technica and professiona experience Experience and working knowedge in COBOL & JAVA woud be preferred Having experience in Code generation, code matching & code transation everaging LLM capabiities woud be a Big pus Demonstrate a growth mindset to understand cients' business processes and chaenges

As an Data Engineer at IBM you wi harness the power of data to unvei captivating stories and intricate patterns. You' contribute to data gathering, storage, and both batch and rea-time processing. Coaborating cosey with diverse teams, you' pay an important roe in deciding the most suitabe data management systems and identifying the crucia data required for insightfu anaysis. As a Data Engineer, you' tacke obstaces reated to database integration and untange compex, unstructured data sets. In this roe, your responsibiities may incude: Impementing and vaidating predictive modes as we as creating and maintain statistica modes with a focus on big data, incorporating a variety of statistica and machine earning techniques Designing and impementing various enterprise search appications such as Easticsearch and Spunk for cient requirements Work in an Agie, coaborative environment, partnering with other scientists, engineers, consutants and database administrators of a backgrounds and discipines to bring anaytica rigor and statistica methods to the chaenges of predicting behaviour’s. Buid teams or writing programs to ceanse and integrate data in an efficient and reusabe manner, deveoping predictive or prescriptive modes, and evauating modeing resuts Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Proof of Concept (POC) DeveopmentDeveop POCs to vaidate and showcase the feasibiity and effectiveness of the proposed AI soutions. Hep in showcasing the abiity of Gen AI code assistant to refactor/rewrite and document code from one anguage to another Document soution architectures, design decisions, impementation detais, and essons earned. Stay up to date with the atest trends and advancements in AI, foundation modes, and arge anguage modes. Evauate emerging technoogies, toos, and frameworks to assess their potentia impact on soution design and impementation Preferred technica and professiona experience Experience and working knowedge in COBOL & JAVA woud be preferred Having experience in Code generation, code matching & code transation everaging LLM capabiities woud be a Big pus Demonstrate a growth mindset to understand cients' business processes and chaenges

As an Data Engineer at IBM you wi harness the power of data to unvei captivating stories and intricate patterns. You' contribute to data gathering, storage, and both batch and rea-time processing. Coaborating cosey with diverse teams, you' pay an important roe in deciding the most suitabe data management systems and identifying the crucia data required for insightfu anaysis. As a Data Engineer, you' tacke obstaces reated to database integration and untange compex, unstructured data sets. In this roe, your responsibiities may incude Impementing and vaidating predictive modes as we as creating and maintain statistica modes with a focus on big data, incorporating a variety of statistica and machine earning techniques Designing and impementing various enterprise search appications such as Easticsearch and Spunk for cient requirements Work in an Agie, coaborative environment, partnering with other scientists, engineers, consutants and database administrators of a backgrounds and discipines to bring anaytica rigor and statistica methods to the chaenges of predicting behaviours. Buid teams or writing programs to ceanse and integrate data in an efficient and reusabe manner, deveoping predictive or prescriptive modes, and evauating modeing resuts Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Proof of Concept (POC) DeveopmentDeveop POCs to vaidate and showcase the feasibiity and effectiveness of the proposed AI soutions. Hep in showcasing the abiity of Gen AI code assistant to refactor/rewrite and document code from one anguage to another Document soution architectures, design decisions, impementation detais, and essons earned. Stay up to date with the atest trends and advancements in AI, foundation modes, and arge anguage modes. Evauate emerging technoogies, toos, and frameworks to assess their potentia impact on soution design and impementation Preferred technica and professiona experience Experience and working knowedge in COBOL & JAVA woud be preferred Having experience in Code generation, code matching & code transation everaging LLM capabiities woud be a Big pus Demonstrate a growth mindset to understand cients' business processes and chaenges

As an Data Engineer at IBM you wi harness the power of data to unvei captivating stories and intricate patterns. You' contribute to data gathering, storage, and both batch and rea-time processing. Coaborating cosey with diverse teams, you' pay an important roe in deciding the most suitabe data management systems and identifying the crucia data required for insightfu anaysis. As a Data Engineer, you' tacke obstaces reated to database integration and untange compex, unstructured data sets. In this roe, your responsibiities may incude: Impementing and vaidating predictive modes as we as creating and maintain statistica modes with a focus on big data, incorporating a variety of statistica and machine earning techniques Designing and impementing various enterprise search appications such as Easticsearch and Spunk for cient requirements Work in an Agie, coaborative environment, partnering with other scientists, engineers, consutants and database administrators of a backgrounds and discipines to bring anaytica rigor and statistica methods to the chaenges of predicting behaviour’s. Buid teams or writing programs to ceanse and integrate data in an efficient and reusabe manner, deveoping predictive or prescriptive modes, and evauating modeing resuts Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Proof of Concept (POC) DeveopmentDeveop POCs to vaidate and showcase the feasibiity and effectiveness of the proposed AI soutions. Hep in showcasing the abiity of Gen AI code assistant to refactor/rewrite and document code from one anguage to another Document soution architectures, design decisions, impementation detais, and essons earned. Stay up to date with the atest trends and advancements in AI, foundation modes, and arge anguage modes. Evauate emerging technoogies, toos, and frameworks to assess their potentia impact on soution design and impementation Preferred technica and professiona experience Experience and working knowedge in COBOL & JAVA woud be preferred Having experience in Code generation, code matching & code transation everaging LLM capabiities woud be a Big pus Demonstrate a growth mindset to understand cients' business processes and chaenges

Job Title: Assistant CMI Manager - Personal Care Insights Hub Work Location: Mumbai HO Function/BU: Personal Care, CMI Role Background: The Personal Care Insights Hub aims to drive strategic insights and operational efficiency to transform Personal Care CMI at Unilever by ensuring we "Stay 3 Steps Ahead. " The hub works closely with both the Business Group (BG) and Business Unit (BU) to deliver on key workstreams, enhancing processes, speed, and agility within Personal Care through centralized agency partnerships and providing PC-wide meta-learnings and updates. As a part of the PC Insights HUB, the candidate would have an exciting role in enabling the growth of the Personal Care business by bringing insights through strategic analysis. Responsibilities: In this role, the successful candidate will be responsible for leading UBS tracking and analysis across the 6Ps, conducting deep dives to provide actionable recommendations The position will liaise with global BG and BU teams across Skin Cleansing, Deodorant & Oral categories. The candidate will conduct a comprehensive meta-analysis on idea testing, communication (TV & Digital), and Instacept & Pack tests for PC across key geographies. The key is to identify success codes that help land winning ideas, communication, and concepts The candidate will take the lead on agency partnerships to collaborate on strategic initiatives to ensure the delivery of high-quality reports and results. Able to communicate the key findings and insight to senior stakeholders and peers both conversationally and in a formal presentation style Maintain knowledge of previous analysis to avoid duplication and to share learnings from relevant past projects Key Experience/Skills Requirement: You will have a proven record of analyzing and synthesizing data and information from different sources. Experience in conducting UBS analysis, Brand Power deep dives, and 6P analysis is preferred. Experience with key qualitative and/or quantitative ad-hoc consumer and market understanding techniques Experience in managing multiple workstreams and ensuring the timely delivery of key initiatives. Candidate showing strong strategic rigor with the ability to decipher multiple information sources into a clear, succinct story Demonstrated ability to engage and collaborate effectively with internal stakeholders, such as BG and BU CMI teams, as well as external agency partners, to achieve project deliverables Strong team player, yet with a good level of independence INTERFACES: The role will have a global scope for the Personal Care business group The job holder will have an interface with the BG and BU PC CMI teams The job holder will also work with other cross-functional teams, i. e. , strategy, marketing, predictive analytics, etc. , and deliver internal briefs to drive growth.

Position Title Head (AI/ML) Reporting to CTO and Founder, Advisory Board. Job locations - Gurugram Role Description This is a full-time on-site role for a Head (AI/ML) in Gurugram. The Head will be responsible for leading the AI/ML strategy and implementation, overseeing software development, managing IT projects, defining IT strategies and architectures, and driving product development initiatives. The candidates should be at least 10 years experience with 3-5 year in the field of AI/ML. Exposure to healthcare will be added advantage. Qualifications Software Development skills Project Management skills IT Strategy and Architecture expertise Product Development experience Strong background in AI/ML technologies Excellent leadership and communication skills Ability to collaborate with cross-functional teams Experience in the healthcare IT industry is a plus Master's degree in Computer Science or related field Education qualification Master in Computer Science or equivalent Experience range 10 years with 3 4 year in AI/ML Mandatory skills, domain etc Please submit your resume along with a cover letter highlighting your relevant experience and skills & other details like Current CTC (fixed plus variable) Offer in hand (fixed plus variable) Expected CTC Notice period Current Location Open to work from office at Gurgaon Experience in Healthcare domain( good to have) Hands on experience and self rating in the scale of 10 , 10 being the maximum 1. GenAI 2. Predictive AI 3. LLM 4. DL 5. NLP 6. Computer vision/ Assuring you of the best assistance in search of the right career opportunity Thanks & Regards, Surender Intelli Search Services Pvt Ltd, Email: sp@intellisearchonline.net Mobile: 9590270707

5 to 7 years of experience in Data Science or Machine Learning roles Proven ability to work on end-to-end ML projectsfrom research to production Conduct in-depth machine learning research and stay updated with state-of-the-art advancements Read, interpret, and implement research papers, especially in the Generative AI domain

Industry: General Insurance Role Lead Data Scientist Years of Experience 8+ years Purpose of Role In this role, The Candidate should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. To help our company analyze trends to make better decisions. Build propensity models, customer segmentations, uplift models, campaign response models, risk, and fraud detection models. Also, Integrate the models with the business processes and consuming systems via ML Ops processes. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to evaluate the effectiveness of different courses of action. Key Accountabilities Responsibilities will include but will not be restricted to: Create models as required by the business with a high degree of precision and recall. Model accuracy and stability are key accountabilities. Understand business priorities and align data science deliverables to ensure the business receives the intelligence and modeling inputs to drive decisions. Work with stakeholders throughout the organization to identify opportunities for using company data to drive business solutions. Undertake preprocessing of structured and unstructured data and analyze large amounts of information to discover trends and patterns. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Coordinate with different functional teams to implement models and monitor outcomes. Recruit, train, develop and supervise Junior level employees. Develop processes and tools to monitor and analyze model performance and data accuracy. Technical Requirements (what) Proven experience of 8+ years as a Data Scientist. Post Graduate degree in Computer Science, Statistics, Engineering, Physics, Mathematics, Econometrics or MBA with a ML/DS focus. Knowledge of SQL and R or Python; familiarity with Scala & SPARK is an asset. Candidates with experience of working on AWS stack will be preferred, however this is not a compulsory requirement. Knowledge and experience in machine learning, optimization, statistical and data mining techniques- regression, simulation, clustering, decision trees, classification algos (bagging/boosting), neural networks. Desired Personal Qualities or Behavior Strong Analytical critical thinking skills and business acumen Strong commitment to professional development. Process Oriented and excellent time management skills. Ability to adapt to new situations and issues and to solve problems. Good organizational, communication, presentational and people skills - with the capability to communicate concisely and effectively equally well with fellow employees, non-technical colleagues and with members and/or customers alike. Only apply if you are matching with above Criteria Work From Office First and last Saturday will be working 60 and 90 Days Notice periods Please don't apply. Interested candidates can share their resumes at - shubhanshi.agarwal@mounttalent.com 7302239534

Role & responsibilities Technical Requirements (what) Advanced knowledge of data analysis and modeling principles: KPI Tree creation, Reporting best practices, predictive analytics, statistical and ML based modeling techniques Work Experience of 20+ years in analytics inclusive of 5+ years of experience of leading a team. Candidates from Insurance Industry are preferred. Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units. Strong problem solving, quantitative and analytical abilities. Strong ability to plan and manage numerous processes, people, and projects simultaneously. The right candidate will also be proficient and experienced with the following tools/programs: Experience with working on big data environments: Teradata, Aster, Hadoop. Experience with testing tools such as Adobe Test & Target. Experience with data visualization tools: Tableau, Raw, chart.js. Experience with Adobe Analytics and other analytics tools. Preferred candidate profile Perks and benefits

Job Description Summary The Data Science Specialist will develop and implement Artificial Intelligence based solutions across various disciplines in GE Aerospace under the guidance of senior team members. In this role, the candidate will contribute to the development and deployment of modern machine learning, artificial intelligence, statistical methods, operations research, semantic analysis etc. for finding structure in large data sets. Job Description Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview The Data Scientist will be responsible to work on data science projects under the supervision of senior team members and deliver business outcomes. Key responsibilities include Development of data science models. Work alongside software developers and software engineers to translate algorithms into viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analysis using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing and data analytics. Generate reports, annotated code, and other projects artifacts to document, archive, and communicate the work and outcomes. Share and discuss findings with team members. The Ideal Candidate The ideal candidate should have experience in Gen AI/LLM, python. Required Qualifications: Bachelor's Degree in Statistics, Machine Learning, Computer Science or related field Proficiency in Python (mandatory). Demonstrated skill at data cleansing, data quality assessment, and using analytics for solving business problems Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on datasets Demonstrated skill at data visualization and storytelling for an audience of stakeholders Strong communication and interpersonal skills Preferred Qualifications: Influences within peer group. Implements specific component(s) of the roadmap. Evaluates features using well known or prescribed recipes and appropriately down selects to valuable ones. Aware of models such as CART SVM RF Neural Net and the associated sub-models Knowledge on Gen AI/LLM Uses Cross Validation and other Verification & Validation techniques to build robust models from large data sets. Understands the types of issues that impact data quality Performs basic data cleaning operations such as flagging missing and invalid data etc. Fits normal parameters to data and assess goodness of fit Can use and interpret t-tests, ANOVA and basic hypothesis testing with good utilization of p-values. Codes using modular practices for reusage and object-oriented Effectively shows visualization of data exploration using box, bubble and matrix plots. Has a basic understanding of GE Aerospace business and how the tools they are developing create value. At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate. #LI-VR1 Additional Information Relocation Assistance Provided: Yes

Your Role Developing and implementing advanced analytical models to derive actionable insights from large datasets. Utilizing machine learning techniques, predictive modeling, and statistical analysis to solve complex workforce-related challenges. Utilizing deep learning techniques and frameworks (e.g., TensorFlow, PyTorch) for advanced predictive analytics. Publishing articles, presenting at conferences, and participating in relevant forums (Thought Leadership). Performing natural language processing (NLP) and sentiment analysis for extracting insights from unstructured data sources. Your profile Proven experience as a Power Platform Developer with expertise in PowerApps, Power Automate, and Power BI. Strong understanding of the Microsoft Power Platform architecture and common development practices. Familiarity with Common Data Service (CDS) and Dataverse. Experience with integrating Power Platform with other Microsoft services like SharePoint and other data sources. Excellent communication skills and the ability to work in a collaborative team environment. Knowledge of Agile development methodologies. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.

SAP BW with SAC Delivery Role Experience: 6+ years Location : Coimbatore/ Chennai/ Salem Mode of work: Worf from office Shift : Mid Shift (2-to 11 PM) Key Responsibilities: Lead and deliver SAP BW on HANA and SAC projects across various domains. Gather and analyze business requirements for reporting and dashboarding. Develop and maintain BW data models (DSOs, Info Objects, Composite Providers, ADSOs). Design and build SAC stories, dashboards, and analytical applications. Integrate SAC with SAP BW/4HANA and other source systems. Optimize data flows, queries, and SAC performance. Work closely with functional teams to translate business needs into technical solutions. Troubleshoot and resolve issues related to data accuracy, modeling, or performance. Support testing, documentation, and user training activities. Ensure timely project delivery with adherence to best practices and standards. Key Skills & Qualifications: Strong experience in SAP BW (preferably BW/4HANA) data modeling, extraction, transformation, and loading (ETL). Hands-on experience in SAP Analytics Cloud (SAC) building stories, dashboards, and predictive analytics. Proficiency in integrating BW data into SAC and managing data connections. Solid understanding of HANA views, CDS views, and ABAP for BW enhancements. Good knowledge of SAP ECC/S4HANA data sources and business processes. Experience in Agile delivery methodology is a plus. Strong analytical, problem-solving, and communication skills. Ability to work independently and in cross-functional teams. Preferred Qualifications: SAP BW and/or SAC certification. Prior experience in a client-facing delivery or consulting role. Experience with BOBJ, Analysis for Office, or other reporting tools is a plus.

Role Summary: The Senior Data Scientist is a technical leadership role with direct accountability for the delivery of multiple projects within FMCG including the management of the analytics quality on these projects. The Senior Data Scientist collaborates closely with other Data Scientists and consultants on projects (across the FMCG client portfolio) to transform client questions and issues into analytical solutions. Key responsibilities: Accountable for the analytics quality and delivery of key FMCG projects. Transforming client questions and issues into analytical solutions, through partnering with Consultants to scope solutions and ensure projects are successfully delivering value to clients. Task management including overseeing and delegating technical tasks amongst data scientists. Team management: leading a small team of technical analysts (~1-3 direct reports). Key activities: * Accountable for the analytics quality and delivery of key FMCG projects: Delivery and build of analytical solutions, transforming transaction- or customer-level data sets into client ready strategic insights e.g. data exploration, cleansing, manipulation, extracting insights, and clear presentation via spreadsheets, PowerPoint presentations and self-service analytical visualization tools. Task management including overseeing and delegating technical tasks amongst analysts within project team, including reviewing code, analysis and outputs. Design and be accountable for solution design, analytical methodology / technique and quality assurance for analytical projects. Providing estimates of work effort, timeframes, costings and resourcing for analytical tasks. * Partnering with consultants to ensure projects are successfully delivered and providing value to clients: Convert data into meaningful, actionable recommendations for Quantium's clients. Transforming client questions and issues into analytical solutions, through project scoping and solution design. * Team management: leading a small team of Data Scientists: Directly manage all direct reports, managing on-boarding, driving their performance, supporting their development & progression and managing the formal performance review process. Provide technical guidance for direct reports and other analysts within the project team as needed / on a day-to-day basis. Support team initiatives, such as interviewing candidates, facilitating team training or knowledge sharing, or organizing events. Be a role model of Quantium's DNA and support a culture of collaboration, innovation, high-performance and fun. Experience and education required: 1. Approximately 5+ years experience in a highly technical analytics environment, carrying out data analytics or data science work. Strong coding experience in SQL. Experience in working with large datasets to solving commercial business problems (customer-level and/or sales transaction-level datasets preferred). Advanced knowledge of technical analytics discipline, including data preparation, feature engineering and foundational analytics concepts, model development and model training. 2. Well-developed commercial acumen to understand business needs and be able suggest the commercial impacts of different analytics solutions or approaches. Experience transforming client questions and issues into analytical solutions, through project scoping and solution design. Experience in FMCG/CPG or Retail industry (preferred). Experience working in consulting environment (preferred). 3. Experience in supervising the work of others as a senior team member, project manager or team leader. 4. Experience with successfully managing either internal and external stakeholders, delivering against projects, tasks and activities in a dynamic deadline driven environments. 5. Experience and interest in people management, mentoring and development. 6.Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline. Key business capabilities required: 1. Resource Planning - Coordination of resources effectively to achieve committed client outcomes at a high level of quality. 2. Client Project Planning - Effective capture, planning and management of the series of inter-related activities involved in delivering the agreed client scope of work, including managing dependencies, making decisions on variances to the original plan and aligning stakeholders. 3. Client Project Delivery- Effective management that integrates people, systems, structures and practices across Quantium and a client organization to ensure high quality project delivery. 4. Business and Product Requirements - Ability to effectively translate business and client needs or problems into an a sustainable technical or product solution. 5. Method Evaluation - Assess the appropriateness of the solution to the original problem and the application of the method. 6. Method Selection - Choose the appropriate type of analytics or modelling to best solve the problem, given all inputs and prescribed outputs. 7. Method Design - Design the most appropriate structure for the method that best solves the problem, given inputs and prescribed outputs. 8. Insight Generation: Convert information into meaningful, actionable recommendations for Quantium's clients and partners. Key People and leadership capabilities required: 1. Self-aware - you leverage diversity across people, tasks, client interactions and projects, taking responsibility for self and other. 2. Agile and innovative - you possess strong lateral thinking skills and actively develop these in others. 3. Achieve and perform - you have exceptional execution skills and are achievement focused. 4. Brand advocate - you anticipate and consider brand and cultural impact in decision making. 5. Purposeful and aligned - you can set clear, tangible objectives which deliver against our strategy. 6. Achievement oriented - you effectively facilitate challenging performance related conversations in a timely and appropriate manner. 7. Coach - you demonstrate the ability to coach and develop others while facilitating learning, growth and engagement.

Role & responsibilities As a Principal Data Scientist in our AdTech team, youll drive innovation in our advertising platform using advanced machine learning and statistical methods. Youll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our businesss bottom line. This role requires technical excellence and business acumen and youll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem. Preferred candidate profile B.Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML research. Experience in auction theory, predictive modelling, causal inference, and reinforcement learning. Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies. History of mentoring junior data scientists, and comfortable in driving multiple problem statements. Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences. Design and develop sophisticated bidding, budget pacing and other algorithms that optimize ad spend or ROI. Create frameworks and experimental design to measure ad effectiveness and ROI. Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions. Communicate long-term roadmap, insights and recommendations to tech and business leadership. Mentor junior data scientists and provide technical guidance. Lead research initiatives in machine learning, auction theory and advertising technology.. Adtech domain experience is mandatory.

Lead and inspire: Mentor and guide a team of talented ML Engineers, fostering a culture of innovation and collaboration Architect and implement: Design and build scalable, robust, and efficient ML pipelines that power our core products Innovate and optimize: Develop novel algorithms and continuously improve our existing models for performance, accuracy, and scalability Solve complex problems: Tackle challenging real-world problems in areas like natural language processing, recommendation systems, and predictive analytics Stay ahead of the curve: Research and implement state-of-the-art techniques in deep learning, reinforcement learning, and other emerging fields Design and Development: Implement scalable solutions using LLMs, Fine-tune LLMs for specific NLP tasks, Develop and deploy LLM-powe'red applications What You Bring Deep expertise: Strong foundation in Machine Learning, Deep Learning, and NLP, with a proven track record of developing and deploying ML models at scale Technical leadership: Experience leading and mentoring teams, with excellent communication and collaboration skills Problem-solving mindset: Ability to analyze complex problems, think critically, and develop innovative solutions Passion for AI: A genuine enthusiasm for pushing the boundaries of AI and its applications in the real world Advanced skills: Proficiency in Python and relevant ML frameworks (TensorFlow, PyTorch, etc), as we'll as experience with big data technologies (Hadoop, Spark) Strong CS fundamentals and coding languages (Python, C/C++, Hava, Scala, R) GenAI & Large Language Model: Experience in developing and deploying LLM-powe'red applications, Knowledge of LLM fine-tuning techniques and optimization strategies Understanding of LLM ethical considerations and biases Nice to Haves MInimum of 6-10+ years of relevant work experience in ML and AI MS or PhD in Computer Science or a related field Publications in top-tier AI conferences Experience with GenAI, LLMs, and Transformers Contributions to open-source ML projects Join Us and Shape the Future of AI If you're a senior AI/ML engineer whos ready to make a real impact, we'd love to hear from you Eightfoldai offers a dynamic and rewarding environment where you'll have the opportunity to work on cutting-edge projects, collaborate with world-class experts, and accelerate your career growth Join us and help build the future of AI-powe'red talent intelligence

Job Overview: We are looking for a skilled Python and Data Science Programmer to develop and implement data-driven solutions. The ideal candidate should have strong expertise in Python, machine learning, data analysis, and statistical modeling. Key Responsibilities: Data Analysis & Processing: Collect, clean, and preprocess large datasets for analysis. Machine Learning: Build, train, and optimize machine learning models for predictive analytics. Algorithm Development: Implement data science algorithms and statistical models for problem-solving. Automation & Scripting: Develop Python scripts and automation tools for data processing and reporting. Data Visualization: Create dashboards and visual reports using Matplotlib, Seaborn, Plotly, or Power BI/Tableau. Database Management: Work with SQL and NoSQL databases for data retrieval and storage. Collaboration: Work with cross-functional teams, including data engineers, business analysts, and software developers. Research & Innovation: Stay updated with the latest trends in AI, ML, and data science to improve existing models.

Job Summary: We are looking for a skilled and passionate AI Developer with 3+ years of hands-on experience in building and deploying AI/ML solutions. The ideal candidate will have a strong foundation in data science, machine learning algorithms, and deep learning frameworks, and will be responsible for developing scalable AI applications tailored to our business needs. Responsibilities: Design, develop, and deploy machine learning models and AI-driven applications. Collaborate with data engineers and software developers to integrate AI models into production systems. Conduct data preprocessing, feature engineering, and model tuning. Research and implement state-of-the-art ML/DL algorithms for predictive analytics, NLP, computer vision, etc. Monitor and evaluate model performance and retrain when necessary. Stay updated with the latest AI trends, technologies, and best practices. Required Skills and Qualifications : Bachelor s/Master s degree in Computer Science, Data Science, AI, or related field. 3+ years of professional experience in AI/ML development. Proficient in Python and common ML libraries (scikit-learn, TensorFlow, PyTorch, etc.). Experience with NLP, computer vision, recommendation systems, or other AI domains. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud platforms (AWS, Azure, GCP) is a plus. Excellent problem-solving skills and ability to work in a collaborative team environment. Preferred Qualifications : Experience deploying AI models using REST APIs, Docker, or Kubernetes. Exposure to MLOps tools and frameworks. Contribution to open-source AI/ML projects or publications in the field.

The Data Analyst will support the organization's data management and governance initiatives by analyzing data, resolving issues, and ensuring compliance with policies and standards. This role focuses on ensuring data accuracy, monitoring data handling processes, and contributing to the continuous improvement of data management practices. The ideal candidate will possess strong analytical skills, attention to detail, and a passion for problem-solving. About the Role : In this opportunity, As a Data Analys you will Assist in adherence to Data Management Policies and Procedures, contributing insights and updates for process improvements. Analyze and monitor in-scope data questions, issues, and requests, ensuring timely and accurate resolutions. Conduct preliminary Data Risk and Control Assessments to identify potential issues and suggest remediation steps. Support efforts to align data handling practices with applicable laws, regulations, and internal guidelines. Collaborate with stakeholders from Business, Customer Segments, and Data & Analytics teams to ensure data consistency and alignment. Provide support in team collaborations to create value through efficient data management processes. Track and report on Key Performance Indicators (KPI) and Key Risk Indicators (KRI) to help measure and improve data governance effectiveness. Escalate unresolved issues or roadblocks to appropriate team members for further action. About you: You will be fit for the role, if your background includes Bachelor's degree in Data Analytics, Information Systems, or a related field. 4-6 years of experience in data analysis, data governance, or related fields. Basic knowledge of data governance frameworks, risk management, and compliance standards. Strong analytical and problem-solving skills, with attention to detail. Excellent communication and interpersonal skills, with the ability to work collaboratively in a team environment. Knowledge/experience in Alteryx preferred Expert level Excel user #LI-VGA1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Senior Data Scientist Enterprise Analytics Want to be part of the Data & Analytics organization, whose strategic goal is to create a world-class Data & Analytics company by building, embedding, and maturing a data-driven culture across Thomson Reuters. We are looking for a highly motivated individual with strong organizational and technical skills for the position of Senior Data Scientist. You will play a critical role working on cutting edge of analytics, leveraging predictive models, machine learning and generative AI to drive business insights and facilitating informed decision-making and help Thomson Reuters rapidly scale data-driven initiatives. About the Role In this opportunity as Senior Data Scientist, you will: Engage with stakeholders, business analysts and project team to understand the data requirements. Work in multiple business domain areas including Customer Service, Finance, Sales and Marketing. Design analytical frameworks to provide insights into a business problem. Explore and visualize multiple data sets to understand data available and prepare data for problem solving. Build machine learning models and/or statistical solutions. Build predictive models, generative AI solutions. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI. Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. About You You're a fit for the role of Senior Data Scientist if your background includes: Experience- 6-8 Years in the field of Machine Learning & AI Must have a minimum of 3 years of experience working in the data science domain Degree preferred in a quantitative field (Computer Science, Statistics, etc.) Both technical and business acumen is required Technical skills Proficient in machine learning, statistical modelling, data science and generative AI techniques Highly proficient in Python and SQL Experience with Tableau and/or PowerBI Has worked with Amazon Web Services and Sagemaker Ability to build data pipelines for data movement using tools such as Alteryx, GLUE Experience Predictive analytics for customer retention, upsell/cross sell products and new customer acquisition, Customer Segmentation, Recommendation engines (customer and AWS Personalize), POCs in building Generative AI solutions (GPT, Llama etc.,) Hands on with Prompt Engineering Experience in Customer Service, Finance, Sales and Marketing Additional Technical skills include Familiarity with Natural Language Processing including Feature Extraction techniques, Word Embeddings, Topic Modeling, Sentiment Analysis, Classification, Sequence Models and Transfer Learning Knowledgeable of AWS APIs for Machine Learning Has worked with Snowflake extensively. Good presentation skills and the ability to tell stories using data and Powerpoint/Dashboard Visualizations. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Consulting Experience with a premier consulting firm. #LI-SS5 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

The Data Scientist organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the role: Work with low to minimum supervision to solve business problems using data and analytics. Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing. Work with various business stakeholders, to understand and document requirements. Design an analytical framework to provide insights into a business problem. Explore and visualize multiple data sets to understand data available for problem solving. Build end to end data pipelines to handle and process data at scale. Build machine learning models and/or statistical solutions. Build predictive models. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. Work collaboratively with other team members. About you: Overall 3+ years' experience in technology roles. Must have a minimum of 1 years of experience working in the data science domain. Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK. Highly proficient in Python. Highly proficient in SQL. Experience with Tableau and/or PowerBI. Has worked with Amazon Web Services and Sagemaker. Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica. Proficient in machine learning, statistical modelling, and data science techniques. Experience with one or more of the following types of business analytics applications: Predictive analytics for customer retention, cross sales and new customer acquisition. Pricing optimization models. Segmentation. Recommendation engines. Experience in one or more of the following business domains Customer Experience and Service. Finance. Operations. Good presentation skills and the ability to tell stories using data and PowerPoint/Dashboard Visualizations. Excellent organizational, analytical and problem-solving skills. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Ability to excel in a fast-paced, startup-like environment. #LI-SS5 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.