5495 Data Science Jobs - Page 20

Job Role: Data Scientist / AI Solution Engineer India contractor Band Level: NA Reports to: Team Leader/Manager Preferred Location : Gurugram, Haryana, India Work Timings: 11:30 am 08 pm IST - Implement Proof of Concept and Pilot machine learning solutions using AWS ML toolkit and SaaS platforms - Configure and optimize pre-built ML models for specific business requirements - Set up automated data pipelines leveraging AWS services and third-party tools - Create dashboards and visualizations to communicate insights to stakeholders - Document technical processes and knowledge transfer for future maintenance Requirements - Bachelor s degree in computer science, Data Science, or related field - 1-3 years of professional experience implementing machine learning solutions. -We can entertain someone who is fresh graduate with significant work in AI in either internship or projects - Demonstrated experience with AWS machine learning services (SageMaker, AWS ML Services, and understanding of underpinnings of ML models and evaluations.) - Proficiency with data science SaaS tools (Dataiku, Indico, H2O.ai, or similar platforms) - Working knowledge of AWS data engineering services (S3, Glue, Athena, Lambda) - Experience with Python and common data manipulation libraries - Strong problem-solving skills and ability to work independently Preferred Qualifications - Previous contract or work experience in similar roles - Familiarity with API integration between various platforms - Experience with BI tools (Power BI, QuickSight) - Knowledge of cost optimization techniques for AWS ML services - Prior experience in our industry (please see company overview)

Gryphon technology pvt ltd is looking for Python Developer to join our dynamic team and embark on a rewarding career journey Coordinating with development teams to determine application requirements. Writing scalable code using Python programming language. Testing and debugging applications. Developing back-end components. Integrating user-facing elements using server-side logic. Assessing and prioritizing client feature requests. Integrating data storage solutions. Reprogramming existing databases to improve functionality. Developing digital tools to monitor online traffic. Write effective, scalable code Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Improve functionality of existing systems Implement security and data protection solutions Assess and prioritize feature requests Coordinate with internal teams to understand user requirements and provide technical solutions.

METRO Global Solution Center IN is looking for Manager - Data Science & AI to join our dynamic team and embark on a rewarding career journey Delegating responsibilities and supervising business operations Hiring, training, motivating and coaching employees as they provide attentive, efficient service to customers, assessing employee performance and providing helpful feedback and training opportunities. Resolving conflicts or complaints from customers and employees. Monitoring store activity and ensuring it is properly provisioned and staffed. Analyzing information and processes and developing more effective or efficient processes and strategies. Establishing and achieving business and profit objectives. Maintaining a clean, tidy business, ensuring that signage and displays are attractive. Generating reports and presenting information to upper-level managers or other parties. Ensuring staff members follow company policies and procedures. Other duties to ensure the overall health and success of the business.

Job Summary: We are seeking a highly experienced and innovative AI/ML Engineer to lead the design, development, and deployment of scalable machine learning solutions. The ideal candidate will have deep expertise in Python, Apache Spark, MLOps, and cloud platforms (GCP and AWS), along with experience in distributed query engines like Trino. You will play a key role in building intelligent systems that drive business value through data science and machine learning. Job Summary: We are seeking a highly experienced and innovative AI/ML Engineer to lead the design, development, and deployment of scalable machine learning solutions. The ideal candidate will have deep expertise in Python , Apache Spark , MLOps , and cloud platforms (GCP and AWS), along with experience in distributed query engines like Trino . You will play a key role in building intelligent systems that drive business value through data science and machine learning. Key Responsibilities: Design and implement scalable ML pipelines using Spark , Python , and MLOps best practices. Develop, train, and deploy machine learning models in production environments. Collaborate with data scientists, data engineers, and product teams to translate business problems into ML solutions. Optimize model performance and ensure reproducibility, versioning, and monitoring using MLOps tools and frameworks. Work with Trino and other distributed query engines for efficient data access and feature engineering. Deploy and manage ML workloads on GCP and AWS , leveraging services like SageMaker, Vertex AI, BigQuery, and EMR. Implement CI/CD pipelines for ML workflows and ensure compliance with data governance and security standards. Mentor junior engineers and contribute to the development of best practices and technical standards. Required Skills: Strong programming skills in Python with experience in ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Expertise in Apache Spark for large-scale data processing. Solid understanding of MLOps practices including model versioning, monitoring, and deployment. Experience with Trino or similar distributed SQL engines (e.g., Presto, Hive). Hands-on experience with GCP (e.g., Vertex AI, BigQuery) and AWS (e.g., SageMaker, S3, Lambda). Familiarity with containerization (Docker) and orchestration (Kubernetes). Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. Preferred Qualifications: Master s or PhD in Computer Science, Data Science, or a related field. Experience with feature stores, model registries, and ML observability tools. Knowledge of data privacy, security, and compliance in ML systems. Contributions to open-source ML or data engineering projects. Impact Youll Make: NA This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Sr Developer, Applications Development

;:" Your responsibilities The Senior Data Scientist will lead the development of data-driven solutions by leveraging traditional data science techniques and recent advancements in Generative AI to bring value to ADM. The role is integral to the Digital & Innovation team, driving rapid prototyping efforts, collaborating with cross-functional teams, and developing innovative approaches to solve business problems. This position requires a blend of expertise in traditional machine learning models, data science practices, and emerging AI technologies to create value and improve business outcomes. Key Responsibilities: Lead end-to-end machine learning projects, from data exploration, modeling, and deployment, ensuring alignment with business objectives. Utilize traditional AI/data science methods (e.g., regression, classification, clustering) and advanced AI methods (e.g., neural networks, NLP) to address business problems and optimize processes. Implement and experiment with Generative AI models based on business needs using Prompt Engineering, Retrieval Augmented Generation (RAG) or Finetuning, using LLM\u0027s, LVM\u0027s, TTS etc. Collaborate with teams across Digital & Innovation, business stakeholders, software engineers, and product teams, to rapidly prototype and iterate on new models and solutions. Mentor and coach junior data scientists and analysts, fostering an environment of continuous learning and collaboration. Adapt quickly to new AI advancements and technologies, continuously learning and applying emerging methodologies to solve complex problems. Work closely with other teams (e.g., Cybersecurity, Cloud Engineering) to ensure the successful integration of models into production systems. Ensure models meet rigorous performance, accuracy, and efficiency standards, performing cross-validation, tuning, and statistical checks. Communicate results and insights effectively to both technical and non-technical stakeholders, delivering clear recommendations for business impact. Ensure adherence to data privacy, security policies, and governance standards across all data science initiatives.

Key Skill Required: Skilled in Playwright for UI test automation across browsers. Experience with BDD using Cucumber for business collaboration. Integrated test scripts with CI/CD and analyzed test results. Proficient in Core Java, Selenium, JUnit, and TestNG. Hands-on with REST Assured, Maven, and Docker. Knowledge of hybrid frameworks and defect reporting.

Bachelor s or master s degree in computer science, Data Science, Engineering, or a related field. EsyCommerce is seeking a highly experienced Data Engineer to join our growing team in either Mumbai or Pune. This role requires a strong foundation in data engineering principles, coupled with experience in application development and data science techniques. The ideal candidate will be responsible for designing, developing, and maintaining robust data pipelines and applications, as well as leveraging analytical skills to transform data into valuable insights. This position calls for a blend of technical expertise, problem-solving abilities, and effective communication skills to drive data-driven solutions that meet business objectives.

Do you enjoy constantly learning and using new technologies? Would working with cutting-edge security products excite you? Join our cutting-edge Application & API Security Product team Our Application & API Security Product team works with companies to shape their digital security strategies. Playing a key role influencing societies across the globe. As a team we are dedicated to innovation. We consistently provide secure web experiences across deployment models. this reduces risk, improves security, allows customers to run their web presence reliably, positively and securely. Partner with the best In this role, you will use your vision, experience & develop leading App & API Security solutions. Youll help define the customer roadmap, requirements and capabilities to ensure successful team collaboration to deliver results. As a Product Manager Senior, you will be responsible for: Shaping the product strategy, roadmap and managing execution against the product plan Gathering, documenting business and technical requirements based on customer interaction, market and results-oriented research and technology trends. Interacting with customers and external analysts to communicate the product vision Leading cross-functional teams including engineering, threat research/data science, sales/marketing to execute feature prototypes and production capabilities. Analyzing operational metrics and trends to manage and maximize product KPIs and revenue Do what you love To be successful in this role you will: Have 6+ years of experience and a Bachelors degree or equivalent with 5 years of PM experience Have an understanding of Product Management principles and experience of the product life-cycle delivery process Have an understanding of web security and web development technologies and experienced in Cyber Security Be willing to learn new technologies and get stuck in to deliver the best results Demonstrate confidence in communication skills and be willing to participate in presentation information to various stakeholders Be tenacious and able to advocate the customers voice within the organization Build your career at Akamai Our ability to shape digital life today relies on developing exceptional people like you. The kind that can turn impossible into possible. We re doing everything we can to make Akamai a great place to work. A place where you can learn, grow and have a meaningful impact. With our company moving so fast, it s important that you re able to build new skills, explore new roles, and try out different opportunities. There are so many different ways to build your career at Akamai, and we want to support you as much as possible. We have all kinds of development opportunities available, from programs such as GROW and Mentoring, to internal events like the APEX Expo and tools such as Linkedin Learning, all to help you expand your knowledge and experience here. Learn more Not sure if this job is the right match for you or want to learn more about the job before you apply? Schedule a 15-minute exploratory call with the Recruiter and they would be happy to share more details.

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. About the Role We are looking for a highly motivated and skilled Senior Data Scientist or Data Scientist to join our team. The ideal candidate will have a strong background in data science, machine learning, and statistical analysis, with hands-on experience in Python and industry-standard libraries. You will be responsible for deriving actionable insights, building predictive models, and effectively communicating findings through data storytelling. Key Responsibilities Develop, implement, and optimize machine learning models for predictive analytics and decision-making. Work with structured and unstructured data to extract meaningful insights and patterns. Utilize Python and standard data science libraries such as NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, PyTorch, and Matplotlib for data analysis and model building. Design and develop data pipelines for efficient processing and analysis. Conduct exploratory data analysis (EDA) to identify trends and anomalies. Collaborate with cross-functional teams to integrate data-driven solutions into business strategies. Use data visualization and storytelling techniques to communicate complex findings to non-technical stakeholders. Stay updated with the latest advancements in machine learning and AI technologies. Required Qualifications 5+ years or 8+ years of hands-on experience in data science and machine learning. Strong proficiency in Python and relevant data science packages. Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch. Knowledge of SQL and database management for data extraction and manipulation. Expertise in statistical analysis, hypothesis testing, and feature engineering. Understanding of Marketing Mix Modeling is a plus. Experience in data visualization tools such as Matplotlib, Seaborn, or Plotly package Strong problem-solving skills and ability to work with large datasets. Excellent communication skills with a knack for storytelling using data. Preferred Qualifications Experience with cloud platforms such as AWS, Azure, or GCP. Knowledge of big data technologies like Hadoop, Spark, or Databricks. Exposure to NLP, computer vision, or deep learning techniques. Understanding of A/B testing and experimental design. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Role Overview Algoritt Consulting is seeking an experienced Sustainability Consultant with expertise in ESG reporting, climate risk analysis, and corporate ESG disclosures. The ideal candidate will have a strong background in sustainability, environment, or economics, coupled with certifications in ESG or climate studies. With 3+ years of experience, preferably in consulting, the candidate will contribute to impactful projects focused on corporate ESG data analysis, KPI monitoring, and decarbonization strategies. Key Responsibilities Lead ESG advisory projects from inception to delivery, including strategic direction and team coordination Collaborate with project managers to plan and execute projects, ensuring client satisfaction and successful outcomes Develop and present comprehensive analyses, conclusions, and deliverables, including written reports, metrics, and insights Execute multi-disciplinary projects across various aspects of sustainability platforms in a collaborative manner Ensure quality deliverables aligned with client objectives and maintain high levels of client satisfaction through effective communication and engagement Stay updated on ESG concepts, methodologies, and best practices, and share insights with the team to foster continuous improvement Requirements Education Masters degree in Sustainability, Environment, Economics, or a related field Certifications in ESG, climate studies, MRV, or risk analysis are highly desirable Experience Minimum of 3 years of relevant experience in the sustainability space, preferably within a consulting role Hands-on experience in corporate ESG disclosures (e.g., SR, IR), ESG data analysis, and KPI monitoring Experience with climate risk analysis and developing decarbonization strategies is preferred Technical Skills Strong knowledge of ESG reporting frameworks, including GRI, SASB, DJSI/S&P, CDP, BRSR, TCFD, and UNPRI Advanced proficiency in MS Excel; data science skills are a plus Soft Skills Strong written and verbal communication skills in English, with excellent presentation skills Capable of working under pressure, maintaining flexibility in work hours Working independently with minimal supervision

Role Overview We are looking for a Data Scientist to develop and implement advanced analytics solutions. The role involves working with complex datasets and developing machine learning models. Key Responsibilities Develop and implement machine learning models Analyze complex datasets and extract insights Create predictive analytics solutions Collaborate with cross-functional teams Present findings to stakeholders Drive data-driven decision making Requirements Education Masters/PhD in Data Science, Statistics, or related field Experience 5+ years of experience in data science Strong background in machine learning Experience with big data technologies Technical Skills Expertise in Python, R, and SQL Experience with ML frameworks Knowledge of big data tools Understanding of statistical methods Soft Skills Strong analytical and problem-solving skills Excellent communication abilities Research and innovation mindset

Key Responsibilities: Design, develop, and deploy machine learning models, particularly in NLP and OCR. Implement deep learning algorithms for complex tasks. Collaborate with software engineers to integrate AI models. Continuously monitor and improve model performance. Ensure AI solutions comply with security regulations. Required Skills and Experience: Bachelors or Master s in Computer Science, Data Science, or related field. 1+ years in AI/ML development. Proficient in Python, TensorFlow or PyTorch. Experience with NLP libraries and OCR tools.

1. Organize training programs on Planning & Installation for all new dealers. 2. Maintain the profitability as per the costing furnished by sales team. 3. Handle all major projects and complete within the agreed timeline. 4. Visit all dealer jobs periodically and maintain the quality of Installation as per the standards. 5. Train and develop the dealer team on all new products introduced 6. Maintain good PR with all key customers during the installation stage and collect satisfaction letters. 7. Provide the necessary cost variance reports for all major jobs executed. 8. Release timely work orders to dealers on NAD / Key customer jobs. 9. Submit necessary documentations and bills to customers and facilitate timely collection. 10. Furnish continuous feedback on the product quality to the Product Managers and contribute for improvement. 11. Support Channel Partners with necessary spares during the pre commissioning failures 12. Prepare pre commissioning failure reports to Quality / Factory and get necessary credit to branch. 13. Claim timely insurance on damaged machines delivered at warehouse/sites and follow up for necessary settlement. 14. Ensure to get credits for spares issues during pre-commissioning failure from factory 15. Ensure there are no escalations, in case of any escalations resolve the same at earlie Key Responsibilities: Short Info Posted: 0 day(s) ago Location: Jaipur Qualifications: BE Experience: 3 Years - 0 Months To 6 Years - 0 Months

Qualifications and Skills: Master s or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field. 5+ years of hands-on experience in data science or machine learning roles. Strong proficiency in Python or R, with deep knowledge of libraries like scikit-learn, pandas, NumPy, TensorFlow, or PyTorch. Proficient in SQL and working with relational databases. Solid experience with Azure cloud platforms and data pipeline tools. Strong grasp of statistical methods, machine learning algorithms, and model evaluation techniques. Excellent communication and storytelling skills with the ability to influence stakeholders. Proven track record of delivering impactful data science solutions in a business setting. Preferred Qualifications: Experience working in industries such as [logistics, aerospace, marketing, etc.]. Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow). Knowledge of data visualization tools (e.g., Tableau, Power BI, Plotly). Responsibilities and Duties Model Development: Design, build, and deploy scalable machine learning models to solve key business challenges (e.g., customer churn, recommendation engines, pricing optimization). Data Analysis: Perform exploratory data analysis (EDA), statistical testing, and feature engineering to uncover trends and actionable insights. Project Leadership: Lead end-to-end data science projects, including problem definition, data acquisition, modeling, and presentation of results to stakeholders. Cross-functional Collaboration: Partner with engineering, product, marketing, and business teams to integrate models into products and processes. Mentorship: Guide and mentor junior data scientists and analysts, helping them grow technically and professionally. Innovation: Stay current with the latest data science techniques, tools, and best practices. Evaluate and incorporate new technologies when appropriate. Communication: Translate complex analyses and findings into clear, compelling narratives for non-technical stakeholders. EXPERIENCE 8-11 Years SKILLS Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Data Science

Analyze and transform data science prototypes Develop ML applications as per requirements Run machine learning tests and experiments Perform analysis and fine-tuning of models using test results Train and retrain ML models when necessary Skills: Experience working on Cloud platforms, preferably AWS Proven experience as Machine Learning Engineer Experience in AWS Sagemaker Understanding of data structures, data modeling and software architecture Ability to write robust code in Python Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Excellent communication skills Aws, Ml

Integrate with internal/external LLM APIs (e.g., OpenAI, Azure OpenAI), including prompt engineering and pre/post-processing as required. Build and maintain data analysis workflows using Pandas for data transformation and insight delivery. Develop RESTful APIs using FastAPI or Flask for data and document management. Design and implement clean, efficient, and modular Python codebases for backend services, data pipelines, and document processing workflows. Support the team in onboarding new data sources, integrating with Azure services, and ensuring smooth cloud deployments. Collaborate with product, data science, and engineering teams to translate business requirements into technical solutions. Write unit tests and contribute to CI/CD pipelines for robust, production-ready code. Stay up to date with advances in Python, LLM, and cloud technologies. Qualifications Qualifications: Bachelor s or master s in computer science, Engineering, or related quantitative discipline. Experience: 6 to 9 years of hands-on experience in data engineering or backend development with Python. Technical Competencies: Exposure to LLM integration (prompt design, API integration, handling text data). Strong experience in Python with focus on data analysis (Pandas) and scripting. Hands-on experience in building REST APIs (FastAPI or Flask). Experience in developing data pipelines, data cleaning, and transformation. Working knowledge of Azure cloud services (Azure Functions, Blob Storage, App Service, etc.) (Nice to have) Experience integrating MongoDB with Python for data storage, modelling, or reporting.

To lead a small team and ensure the seamless execution of delegate registration and data management for the Zak World of Fa ades conference series. This role is pivotal in delivering a high-quality registration experience for attendees, maintaining accurate data records, and supporting the overall success of the event operations. Qualification: Graduate. Preferably a PGDM in Events Management. Should have handled RSVP for 2-3 years. Fluency in spoken English is a must. . Please make sure to mention the title of the job position youre applying for in the subject line of your email.

We are looking for a highly motivated and detail-oriented data scientist to join our analytics and AI/ML team. The ideal candidate will be responsible for leveraging data to drive strategic decisions, develop predictive models, and deliver actionable insights that create business value. Key Responsibilities Collect, clean, and preprocess large datasets from various sources. Apply statistical and machine learning techniques to solve real-world business problems. Develop, test, and implement predictive models and algorithms. Visualize data insights and communicate findings effectively to both technical and non-technical stakeholders. Collaborate with cross-functional teams, including engineering, product, and business teams. Continuously improve data models and maintain model accuracy. Stay updated on the latest developments in data science and machine learning.

Do you want to help solve the world's most pressing challenges such as feeding the world's growing population and slowing climate change AGCO is looking for individuals to join them in making a difference. Currently, AGCO is seeking a Senior Manager, AI & Data Systems Architecture to lead the design, creation, and evolution of system architectures for AI, analytics, and data systems within the organization. As the Senior Manager, AI & Data Systems Architecture, you will collaborate with cross-functional teams, including data engineers, data scientists, and other IT professionals to create architectures that support cutting-edge AI and data initiatives. Your responsibilities will include leading the end-to-end architecture for AI and data systems, designing and implementing data infrastructure and AI platforms, championing cloud adoption strategies, and driving the continuous improvement and evolution of data and AI architectures to meet emerging business needs and industry trends. To qualify for this role, you should have a minimum of 10 years of experience in data architecture, AI systems, or cloud infrastructure, with at least 3-5 years in a leadership role. You should also possess deep hands-on experience with cloud platforms like AWS, Google Cloud Platform (GCP), and Databricks, as well as familiarity with CRM systems like Salesforce and AI systems within those solutions. Additionally, you should have expertise in data architecture, including data lakes, data warehouses, real-time data streaming, and batch processing frameworks. The ideal candidate will have strong leadership and communication skills, with the ability to drive architecture initiatives in a collaborative and fast-paced environment. A Bachelor's degree in Computer Science, Data Science, or a related field is required, while a Master's degree or relevant certifications such as AWS Certified Solutions Architect are preferred. AGCO offers a positive workplace culture that values inclusion and diversity, providing benefits such as health care and wellness plans, flexible work options, and opportunities for personal development and growth. If you are passionate about leveraging innovative technologies to make a positive impact and contribute to the future of agriculture, apply now to join AGCO in their mission.,

PharmaACE is a growing Global Healthcare Consulting Firm, headquartered in Princeton, New Jersey. Our expert teams of Business Analysts, based across the US, Canada, Europe, and India, provide Analytics and Business Solutions using our worldwide delivery models for a wide range of clients. Our clients include established, multinational BioPharma leaders and innovators, as well as entrepreneurial firms on the cutting edge of science. We have deep expertise in Forecasting, Business Analytics, Competitive Intelligence, Sales Analytics, and the Analytics Centre of Excellence Model. Our wealth of therapeutic area experience cuts across Oncology, Immuno- science, CNS, CV-Met, and Rare Diseases. We support our clients" needs in Primary Care, Specialty Care, and Hospital business units, and we have managed portfolios in the Biologics space, Branded Pharmaceuticals, Generics, APIs, Diagnostics, and Packaging & Delivery Systems. Role Summary: This is a client-facing leadership role responsible for managing strategic relationships, designing and delivering advanced analytics and AI/GenAI solutions, and driving measurable impact across global life sciences organizations. The ideal candidate will blend deep pharma domain knowledge, modern AI/ML expertise, and strong consulting acumen to shape and deliver differentiated solutions to commercial and brand teams at top pharmaceutical and biotech companies. Client Engagement & Advisory (40%): - Act as a strategic advisor to brand, commercial, and analytics leaders in global pharma clients. - Lead consultative discussions on AI/analytics roadmaps, omnichannel strategy, forecasting, and performance management. - Present insights, influence stakeholders, and translate analytics into compelling narratives that drive decisions. AI-Enhanced Analytics Delivery (30%): - Oversee delivery of AI-enabled solutions across domains like: - Dynamic segmentation & targeting - Next-best-action engines - Predictive HCP behavior models - LLM-based insight generation (GenAI) - Brand performance diagnostics - Ensure robust quality, timeliness, and strategic relevance of deliverables. Team & Capability Development (20%): - Lead and grow a high-performing team of consultants, data scientists, and domain experts. - Define and scale reusable AI/GenAI assets, frameworks, and accelerators. - Partner with internal technology, data, and innovation teams to align on platform evolution. Practice Growth & Innovation (10%): - Contribute to RFPs, proposals, and solutioning for new business opportunities. - Develop PoVs, whitepapers, and use cases to position the firm as a leader in commercial AI/GenAI. - Continuously scan the market for new pharma AI applications, platforms, and data partnerships. Required Qualifications: - Masters degree or higher in Data Science, Life Sciences, Business Analytics, or related field. - 1015 years of experience in commercial pharma analytics, including at least 35 years in a client-facing vendor/consulting role. - Strong understanding of commercial pharma data: IQVIA (NRx/TRx), patient claims, CRM, HCP engagement, formulary/market access data. - Experience delivering AI/ML/GenAI-driven solutions in real-world commercial use cases. - Proven ability to engage with senior pharma stakeholders (Directors, VPs, GMs) and lead large programs. Preferred Skills: - Familiarity with GenAI tools: OpenAI APIs, Claude, LLM summarization tools, Insight copilots. - Experience with tools like Python/R, SQL, Tableau/Power BI, Databricks/Snowflake. - Hands-on understanding of pharma GTM processes (launch excellence, sales ops, brand planning). Core Competencies: - Strategic thinking and business storytelling - Strong client presence and relationship building - AI fluency ability to evangelize and translate tech to value - Project management and operational excellence - Thought leadership and innovation mindset,

As a Housing Finance Project Manager, your primary responsibility will be to oversee all activities related to housing finance projects by leveraging technology, digitization, and automation to revolutionize the operations of the housing business. You will be entrusted with the following core responsibilities: - Anchoring business imperatives in terms of transformation, process re-engineering, continuous improvement, analytics, and digital strategy. - Playing a crucial role in facilitating end-to-end digital strategy, design, and automation of the company's digital roadmap for business solutions while bridging the gap between data science and business operations. - Clearly articulating business needs with supporting facts and demonstrating the business value of recommended solutions. - Understanding the workflow based on logic and gaining insights into the current state of the business process. You will conceptualize the future state of the process in an automated solution by outlining the roadmap through Business Requirement Documents (BRD). - Taking complete ownership of preparing automation solutions, designing frameworks, and leading the implementation of strategies, plans, and project execution. To be successful in this role, you should hold a Graduate or Post Graduate qualification. Join us in this exciting journey of transforming housing finance projects through innovative technology and automation solutions!,

As a Senior Specialist in Data Science at our company, you will have the opportunity to leverage analytics and technology to drive decision-making in order to address some of the world's greatest health threats. You will be part of the Insights, Analytics, and Data organization, working with partners in various Therapeutic and Domain areas to create scalable and production-grade analytics solutions. Your role will involve collaborating with Market leaders to tackle critical business questions using data science solutions and translating business queries into analytical problems. We are looking for candidates with prior experience in healthcare analytics or consulting sectors, leading Data Science teams, and delivering end-to-end data science projects. You should have a thorough understanding of Physician and Patient-level data from leading vendors and extensive experience in commercial pharma analytics. Effective communication skills are crucial as you will be interfacing with executive and business stakeholders. As a Senior Specialist in Data Science, you should have a solid foundation in statistics and machine learning and be able to work in high-performance computing environments. You should be self-motivated, with the ability to think independently and structure your data science approach according to the task at hand. Collaboration, continuous learning, and effective communication are key aspects of this role. Key Responsibilities: - Lead a moderate-sized team of Data Scientists to solve complex business problems - Collaborate with business leaders to define and prioritize business problems and conceptualize data science solutions - Standardize and scale data science solutions to increase delivery efficiency - Collaborate with cross-functional teams to design and implement solutions meeting business requirements - Present findings to senior business stakeholders and ensure technical and professional development of junior team members - Develop expertise in the therapeutic area of interest and contribute to thought leadership through publications and presentations Minimum Qualifications: - Bachelor's degree with 8-10 years of industry experience - Extensive experience in healthcare analytics or consulting sectors - Strong Python/R, SQL, Excel skills - Strong foundation in statistics and machine learning Preferred Qualifications: - Advanced degree in STEM (MS, MBA, PhD) - Experience in Oncology/Vaccine/Pharma & Rare Diseases therapeutic area commercial analytics - Experience in End to End Program Management Join us in our mission to put patients first and bring breakthrough medicines to customers worldwide. We are committed to fostering an inclusive and diverse workplace where diverse ideas come together for innovative solutions. We are an equal opportunity employer and encourage respectful challenge and collective problem-solving. Apply now if you meet the qualifications and are passionate about making a difference in the world of healthcare analytics and data science.,

A minimum of 6 years of experience in data science role, including hands-on experience with machine learning and statistical analysis. Proficiency in Python, Core ML, SQL, R and data manipulation, visualization.

As an Assistant Professor in Mathematics and Statistics, you should possess educational qualifications such as a Ph.D., M.Sc., or B.Sc. from IIT/NIT/Equivalent Universities recognized by UGC. Post Doc experience is preferred along with a track record of good publications. Being CSR/GATE Qualified would be an advantage. You should have a minimum of 2-8 years of experience in Teaching, Industry, Research Organizations, or Professional roles at a Managerial level, excluding the time spent on obtaining your research degree. Apart from expertise in core subjects, competencies in Theoretical Computer Science, Data Science, AI, Web Development, Networking, Security, and Applications Development are desirable. Having a minimum of 2 research papers published in peer-reviewed refereed Journals is also expected from the ideal candidate for this position.,

The Senior Statistical Analyst position is ideal for candidates with working knowledge in data science tools & practice as well as qualitative research methods. This position will be mainly involved in the analytical aspect of the research and development efforts associated with the various Comscore panels, a valuable asset unique in the industry. It will entail a deep understanding of methodology and production of Comscore's panel processes, creating KPIs for mission-critical production jobs, diagnosing and resolving data issues, proposing and implementing data solutions for panel assets, and liaising with other stakeholders with different backgrounds. Being detail-oriented is a must, and a big plus will be given to candidates who have experience implementing statistical models in a production environment while being adept at communicating data solutions in both plain English and technical language. Creating ad-hoc and reusable data solutions that drive effective insights and productivity. Troubleshooting data issues and building automatic tools that enable minimal manual intervention. Proposing and implementing improvement plans for panel assets. Identifying shortcomings and inefficiency in panel processes and implementing optimization plans independently. Helping to further best practice in the Panel team in various areas such as documentation, analysis reproducibility, data assets management, etc. Collaborating with teams in Software Engineering, Operations, and Product Management to design processes that help deliver quality data in a timely manner. Bachelor's Degree and above in Statistics, Data Science, or another math/engineering field. Required: professional (i.e. working) experience with a) 5+ years with data science projects with large datasets; b) 2+ years with SQL; c) 2+ years with Python; d) 1+ years with a workflow management system such as Airflow; e) 2+ years with Microsoft Excel. Not required but a plus: a) professional experience with building dashboards in PowerBI/Tableau/Superset; b) experience implementing statistical models in a production environment; c) experience with AWS; c) experience implementing data solutions using LLM in the data science space. The regular hours for this position will cover a combination of business hours in the US and India typically 2 pm-11 pm IST. Occasionally, later hours may be required for meetings with teams in other parts of the world. Additionally, for the first 4-6 weeks of onboarding and training, US Eastern time hours (IST -9:30) may be required. Comscore offers a collective Private Medical Insurance scheme which is 100% covered by Comscore. The benefit is applicable to employees, an employee's spouse, up to two children and parents. Provident Fund: Comscore bears both the employee and employer contribution. Comscore offers market competitive annual leave of 26 Annual Leave Days (8 Casual and 18 Privilege), following local guidelines and practices. National Holidays and Festival Holidays: 10 Days. Sick Leave: 10 Days. Additional Leave: Paternity, Bereavement, Marriage, Maternity, Additional Pregnancy/Birth Related Leave. Comscore offers a week of Company-paid leave over the Christmas/New Year period. Early releases on Fridays are subject to manager approval. Internal Career Development Opportunities (minimum of 6 months tenure in the current position and in discussion with supervisors). Access to hundreds of professional e-learning courses, specifically created for Comscore. Encouragement of innovative ideas, communication, and joint success. Comfortable, casual work environment. Opportunity to become a global engineer with exposure to markets across the world.,