5437 Data Science Jobs - Page 9

With the increase in accessibility and usage of Machine Learning models, the standards that these models must adhere to are evolving at a rapid pace. The ML Model Risk team helps the developers adhere to these ever-evolving standards and regulations and helps them take a risk first approach to model development. Job summary As a Machine Learning Model Risk VP within our Applied AI and Machine Learning organization, you will be part of a team focused on reducing model risk. You will ensure robust model development processes, apply machine learning and data science methodologies to financial markets, and collaborate with developers to reduce model risk. You will also guide models through the review process, evaluate new ML vendor tools, and ensure compliance with evolving ML development standards. This role provides an opportunity to participate in cutting-edge research and contribute to the development of our machine learning models. You will expected to guide and lead junior data scientists Job responsibilities Participating in cutting edge research and applying machine learning and data science methodologies to financial markets and related operations Analyze the models through a risk-based lens and collaborate with developers to reduce model risk Provide feedback and collaborate with users and developers to ensure optimal development of ML models Develop and maintain a list of tests to validate various common techniques used to build Machine learning models Guiding models through the review process and enhancing and improving them as required Evaluate new ML vendor tools for usefulness, effectiveness and ease of deployment in CIB Understand the ever evolving ML development standards and processes and communicate with developers to ensure compliance Required qualifications, capabilities and skills Master s, PhD, or equivalent degree program in mathematics, sciences, statistics, econometrics, engineering, financial engineering, computer science, or other quantitative fields Mastered advanced mathematics and statistics (i.e., probability theory, time series, econometrics, optimization), with core expertise in statistics and machine learning theory, techniques, and tools Strong written and oral communication and interpersonal skills Strong Stakeholder & Project Management skills Ability to ask incisive questions, converge on critical matters, assess materiality and escalate issues Basic understanding of the companys business practices and familiarity with the companys products and services Preferred qualifications, capabilities and skills Programming experience with Python; experience in MLOps would be a positive Experience with python programming and implementing machine learning techniques. Experience in Model Risk or Machine learning teams Experience in developing testing frameworks for ML models Experience in handling multiple stakeholders With the increase in accessibility and usage of Machine Learning models, the standards that these models must adhere to are evolving at a rapid pace. The ML Model Risk team helps the developers adhere to these ever-evolving standards and regulations and helps them take a risk first approach to model development. Job summary As a Machine Learning Model Risk VP within our Applied AI and Machine Learning organization, you will be part of a team focused on reducing model risk. You will ensure robust model development processes, apply machine learning and data science methodologies to financial markets, and collaborate with developers to reduce model risk. You will also guide models through the review process, evaluate new ML vendor tools, and ensure compliance with evolving ML development standards. This role provides an opportunity to participate in cutting-edge research and contribute to the development of our machine learning models. You will expected to guide and lead junior data scientists Job responsibilities Participating in cutting edge research and applying machine learning and data science methodologies to financial markets and related operations Analyze the models through a risk-based lens and collaborate with developers to reduce model risk Provide feedback and collaborate with users and developers to ensure optimal development of ML models Develop and maintain a list of tests to validate various common techniques used to build Machine learning models Guiding models through the review process and enhancing and improving them as required Evaluate new ML vendor tools for usefulness, effectiveness and ease of deployment in CIB Understand the ever evolving ML development standards and processes and communicate with developers to ensure compliance Required qualifications, capabilities and skills Master s, PhD, or equivalent degree program in mathematics, sciences, statistics, econometrics, engineering, financial engineering, computer science, or other quantitative fields Mastered advanced mathematics and statistics (i.e., probability theory, time series, econometrics, optimization), with core expertise in statistics and machine learning theory, techniques, and tools Strong written and oral communication and interpersonal skills Strong Stakeholder & Project Management skills Ability to ask incisive questions, converge on critical matters, assess materiality and escalate issues Basic understanding of the companys business practices and familiarity with the companys products and services Preferred qualifications, capabilities and skills Programming experience with Python; experience in MLOps would be a positive Experience with python programming and implementing machine learning techniques. Experience in Model Risk or Machine learning teams Experience in developing testing frameworks for ML models Experience in handling multiple stakeholders

Position: Lead Data and Insights Practice Time Commitment: Full-time Location: Gurgaon/Mumbai/Bangalore About Sattva We Partner to deliver social impact at scale Sattva Consulting is a global impact consulting firm from India. Since 2009 we have been engaging with communities, business and government to achieve societal impact at scale. We believe that Civil society, Business and Government all have a critical role to play in building an equitable and sustainable world, and we actively partner with all stakeholders to enable impact through our advisory & orchestration services, knowledge and data platforms which we have built as public goods for the ecosystem and collaborative solutions and partnerships. Our teams are based in India, Singapore, Denmark and UK, but as a global organization our work has spanned 25 countries and 5 continents. For more information, please visit: www.sattva.co.in The Opportunity We are looking for a leader to drive our Data and Insights Practice. The Data and Insights Practice will lead Sattva s work across all businesses towards strengthening data systems, using established and emergent techniques to drive data driven decision and delivering high quality assessments and evaluations to a wide range of stakeholders. This individual will own the units strategic direction, sales and client engagement, and people leadership, underpinned by deep expertise in technology, data, and impact measurement frameworks. You will be responsible for driving business growth, building a high-quality team, establishing a delivery model that leverages technology and data expertise to deliver value to clients and actively fostering a culture of innovation. The role will include working closely with the Sattva leadership in driving the strategic direction to Data and Insights Practice at Sattva. The leadership role will be responsible for: Building Vision & Strategy of the Data and Insights Practice: Define and lead the long-term strategic vision of the Data and Insights Practice that is aligned on creating long-term social and ecological impact. Leverage latest advances in Technology, Data Science and AI to envision solutions and services that Sattva can provide to deliver value to our customers Engage potential clients across Philanthropy, ESG and Sustainability towards driving growth, delivering value and building a sustainable business practice Represent the business unit in executive leadership discussions and contribute to overall organizational growth Embed a tech-first approach into business operations, client solutions, and team culture. Sales and Business Development Drive sales strategy, lead high-stakes pitches, and develop long-term relationships with enterprise clients, foundations, Non-profits and government partners. Identify new revenue streams, co-develop digital offerings, and scale data-led advisory products. Collaborate with marketing and partnerships teams to elevate the firm s thought leadership in the impact-tech space. Demonstrate the organizations capabilities across Data, Measurement and Evaluations as a unique selling proposition for potential partners or clients in key events and forums. Technology & Data Innovation Lead the design and implementation of scalable, tech-enabled impact measurement frameworks and data infrastructure for knowledge leadership and delivery excellence Oversee and manage the India Data insights portal and manage integration of AI/ML, data visualization, and cloud technologies to support advisory and reporting services. Ensure compliance with data ethics, privacy, and responsible AI principles. People & Delivery Management Build, manage, and mentor a high-performing multidisciplinary team of impact strategists, data analysts, and technologists. Lead the team in delivering high quality engagements by supporting them in interpreting complex data sets to identify trends, deriving actionable insights, and providing strategic recommendations to multiple clients at leadership level Foster a growth-oriented, inclusive, and high-accountability team culture. Champion continuous learning and innovation within the team.. Facilitate expert technical assistance, training, and ongoing capacity-building support to program teams and other staff to enhance their knowledge, skills, and data literacy Build and maintain strong, collaborative relationships with other business units, teams to ensure seamless integration of impact measurement across the organization. Client Engagement Lead client engagements through relationship building, active listening and providing strategic inputs which align with their vision of high impact on the ground and the ecosystem. Co-create solutions to meet client s current and future needs and work closely with key stakeholders. Lead stakeholder engagement, analysis and presentation of synthesized outputs and recommendations based on in-depth understanding of client s work, developmental needs of the program beneficiaries. Influence decision making and action to enable positive and sustainable impact. External Engagement & Thought Leadership Stay abreast of global standards and frameworks such as SDGs, IRIS+, GRI, SASB, ESG and SFDR. Guide clients on aligning business goals with impact strategies and KPIs. Represent the company in conferences, working groups, and global advisory councils on impact and data innovation. Cultivate and maintain strong relationships with external evaluation consultants, research institutions, peer organizations, and funding partners. Represent the organization in relevant forums, conferences, and networks, contributing to the broader discourse on impact measurement and sharing the organizations learning and best practices. What we are looking for: We are looking for passionate individuals who align with our vision and have the following profile and core competencies: Education: Masters degree (or higher) in a relevant field such as Data science , Social Sciences, Economics, Statistics, Public Policy, International Development, Public Health, Program Evaluation, or a related discipline. Experience: 15 20 years of progressive experience in technology, data science, analytics, or digital transformation, with at least 5+ years in a leadership role . Proven track record in leading business units , owning P&L , and driving cross-functional teams. Deep understanding of impact measurement frameworks and the sustainability/ESG ecosystem . Strong commercial acumen and experience in enterprise-level consulting or SaaS solutions . Demonstrated experience in strategy development, team building, and revenue generation . Excellent communication, storytelling, and stakeholder management skills. Familiarity with the social impact landscape in India, including relevant government policies, funding trends, and local contexts, is highly desirable Preferred Skills: Experience working in or with social enterprises, foundations, or multilateral institutions. Knowledge of AI/ML applications in social impact or sustainability Familiarity with digital platforms such as Tableau, Power BI, Salesforce, or ESG-specific software. Strong project management skills, with the ability to manage multiple complex projects simultaneously and deliver high-quality results under pressure. High degree of emotional intelligence, cultural sensitivity, and adaptability. Unwavering commitment to the organizations mission, values, and a passion for driving measurable social impact. Why Sattva Its not about us really- Because IMPACT is everybody s business. Create Impact: Make an impact with the work you do and solutions you design Work Environment: Thrive in a diverse, inclusive and collaborative environment Learn & Grow: Challenge yourself to learn, grow and deliver the best you can Future Ready: Work on critical issues of today that will affect our collective tomorrow How to Prepare This is your opportunity to showcase not only your qualifications but also your unique personality and passion for making a meaningful impact. Approach your application with intentionality, ensuring that each word reflects your commitment to excellence and aligns seamlessly with the values of Sattva. Sattva is an equal opportunity employer and considers qualified applicants regardless of race, religion, caste, creed, gender, sexual orientation, physical or mental disability, or any other legally protected and/or marginalized characteristics. Diversity, Equity, and Inclusion are essential to our business and we foster an environment of respect and a culture that celebrates diversity and promotes equity and inclusion. We are committed to providing all employees with education, training, and development opportunities to create a workplace where everyone feels safe, respected, and included. No. of Open positions: 1

Job summary Are you customer obsessed, relentlessly focused on achieving high standards, street-smart and analytical, execution focused, hungry and passionate about e-commerce, an experienced sales executive with a strong work ethicIf yes, this opportunity will appeal to you. Amazon Seller Services is an important division of Amazon Inc., a multi-national company headquartered in Seattle, USA. The division aims to help sellers grow their business by offering services which leverage high quality Amazon capabilities. Amazon Seller Services is now looking to work with Indian retailers and offer them services which will scale their business. See www.amazonservices.com for services offered in US & www.services.amazon.in for product details in India. As a Sales Associate with Amazon Seller Services India, you will have the exciting opportunity to deliver Amazon s offerings in India. You will be the face of Amazon to retailers for the services which Amazon will offer. The role will require engaging retailers at all points of their life cycle. You will have to identify and recruit retailers that deliver competitive pricing and broad product selection on the platform, train sellers on Amazon systems helping them integrate with our product platform and analyze seller performance metrics to help them become successful on our platform. The ideal candidate will have sales experience, ability to work in an environment with minimal supervision, comfortable working across multiple complex functions and capability to influence external parties. The candidate should be comfortable interfacing with technology systems, training other stakeholders on systems and processes and be able to analyze data and gather actionable conclusions. Operating in a rapidly changing environment will require the candidate to be adept at dealing with ambiguous, new and challenging situations. The candidate will be comfortable in executing repeatable processes. Role and Responsibilities: Understand products and services offered by Amazon Services and be able to articulate its functions and benefits to external audiences. Help define the seller base and industry verticals we target for various Amazon services using local knowledge. Identify valuable sellers and selection for Amazon services. Acquire retailers with valuable selection and establish long-term partnerships. Own and manage integration of portfolio of sellers and help them become self-reliant through basic training. Track and monitor performance and sales of key partners to manage their performance. Prior Experience and skills: More than 3+ years of experience in sales Bachelors degree required, MBA is preferred Passion for e-commerce is required. Experience in an analytical, results-oriented environment with external customer interaction. Proven ability to manage the business by the numbers . Must be metrics-driven. Excellent written and oral communication and presentation skills and the ability to express thoughts logically and succinctly. Experience working with SME retailers is an advantage. Experience with e-commerce, retail, advertising, or media would be an advantage. Deep understanding of the retail and wholesale landscape in India with prior interactions with sellers and distributors is desirable. Experience selling nascent (embryonic/start-up) products/services into new markets is desired. Entrepreneurial drive and demonstrated ability to achieve stretch goals in an innovative and fast-paced environment. Ability to speak the local language is desirable Personal attributes and competencies: Demonstrated intense customer focus. Demonstrated highest level of integrity, intellectual honesty, and strong work ethic. Takes initiative. Doesnt wait to be asked. Plans efficiently. Consistent effort, intense commitment, perseverance and willingness to go above and beyond when needed. Strong team player, acts like an owner, and ultimately focused on delivering results with high standards. Proven ability to successfully thrive in an ambiguous environment and changing market conditions. Disciplined in executing repeatable operational processes. Has sound judgment and ability solve issues on the spot. Makes good decisions when analysis of data is not sufficient to reach a conclusion. Bachelors degree Bachelors degree in business administration, finance, economics, computer science, data science, engineering, or other related field

Are you customer obsessed, relentlessly focused on achieving high standards, street-smart and analytical, execution focused, hungry and passionate about e-commerce, an experienced sales executive with a strong work ethicIf yes, this opportunity will appeal to you. Amazon Seller Services is an important division of Amazon Inc., a multi-national company headquartered in Seattle, USA. The division aims to help sellers grow their business by offering services which leverage high quality Amazon capabilities. Amazon Seller Services is now looking to work with Indian retailers and offer them services which will scale their business. See www.amazonservices.com for services offered in US & www.services.amazon.in for product details in India. As a Business Development Associate with Amazon Seller Services India, you will have the exciting opportunity to deliver Amazon s offerings in India. You will be the face of Amazon to retailers for the services which Amazon will offer. The role will require engaging retailers at all points of their life cycle. You will have to identify and recruit retailers that deliver competitive pricing and broad product selection on the platform, train sellers on Amazon systems helping them integrate with our product platform and analyze seller performance metrics to help them become successful on our platform. The ideal candidate will have sales experience, ability to work in an environment with minimal supervision, comfortable working across multiple complex functions and capability to influence external parties. The candidate should be comfortable interfacing with technology systems, training other stakeholders on systems and processes and be able to analyze data and gather actionable conclusions. Operating in a rapidly changing environment will require the candidate to be adept at dealing with ambiguous, new and challenging situations. The candidate will be comfortable in executing repeatable processes. Role and Responsibilities: Understand products and services offered by Amazon Services and be able to articulate its functions and benefits to external audiences. Help define the seller base and industry verticals we target for various Amazon services using local knowledge. Identify valuable sellers and selection for Amazon services. Acquire retailers with valuable selection and establish long-term partnerships. Own and manage integration of portfolio of sellers and help them become self-reliant through basic training. Track and monitor performance and sales of key partners to manage their performance. Prior Experience and skills: More than 3+ years of experience in sales Bachelors degree required, MBA is preferred Passion for e-commerce is required. Experience in an analytical, results-oriented environment with external customer interaction. Proven ability to manage the business by the numbers . Must be metrics-driven. Excellent written and oral communication and presentation skills and the ability to express thoughts logically and succinctly. Experience working with SME retailers is an advantage. Experience with e-commerce, retail, advertising, or media would be an advantage. Deep understanding of the retail and wholesale landscape in India with prior interactions with sellers and distributors is desirable. Experience selling nascent (embryonic/start-up) products/services into new markets is desired. Entrepreneurial drive and demonstrated ability to achieve stretch goals in an innovative and fast-paced environment. Ability to speak the local language is desirable Personal attributes and competencies: Demonstrated intense customer focus. Demonstrated highest level of integrity, intellectual honesty, and strong work ethic. Takes initiative. Doesnt wait to be asked. Plans efficiently. Consistent effort, intense commitment, perseverance and willingness to go above and beyond when needed. Strong team player, acts like an owner, and ultimately focused on delivering results with high standards. Proven ability to successfully thrive in an ambiguous environment and changing market conditions. Disciplined in executing repeatable operational processes. Has sound judgment and ability solve issues on the spot. Makes good decisions when analysis of data is not sufficient to reach a conclusion. Bachelors degree in business administration, finance, economics, computer science, data science, engineering, or other related field 1+ years of sales experience

2 About the position: Chevron invites applications for the role of Lead Data Scientist in India. This position is integral to designing and developing AI/ML models that significantly accelerate the delivery of business value. The successful candidate will be working with business stakeholders to prototype and deliver innovative data science applications that add value to Chevron s business. This position will provide broad exposure to the application of technology to enable business with many opportunities for growth and professional development for the candidate. Key Responsibilities: Combine expertise in mathematics, statistics, computer science, and domain knowledge to create AI/ML models to solve various Chevron business challenges Collaborate closely with the AI Technical Manager and GCC Petro-technical professionals and data engineers to integrate models into the business framework. Identify and frame opportunities to apply advanced analytics, modeling, and related technologies to data to help Chevron businesses gain insight and improve decision making, workflow, and automation. Understand and communicate the value of proposed opportunity with team members and other stakeholders. Identify needed data and appropriate technology to solve identified business challenges. Clean data and develop and test models. Establish the life cycle management process for models. Provide technical mentoring in modelling and analytics technologies, the specifics of the modelling process, and general consulting skills. Drive innovation in AI/ML to enhance Chevrons capabilities in data-driven decision-making. Aligns with team on shared goals and outcomes, recognizes others contributions, and work collaboratively & seek diverse perspectives. Takes actions to develop self and others beyond existing skillset. Encourages innovative ideas, adapts to change and changing technologies Understand and communicate data, insights, and model behaviours to stakeholders with varying levels of technical expertise. Required Qualifications: Minimum 5 years of experience in designing and developing AI/ML models and/or various optimization algorithms. 10- 15 years of experience Solid foundation in mathematics, probability, and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies (e.g. supervised and unsupervised learning, statistics, data science model development) Proficiency in Python and working knowledge of cloud AI/ML services (Azure Machine Learning and Databricks preferred) Domain knowledge relevant to the energy sector and working knowledge of Oil and Gas value chain (e.g., upstream, midstream, or downstream) and associated business workflows. Proven ability to frame data science opportunities, leverage standard foundational tools and Azure services to perform exploratory data analysis (for purposes of data cleaning and discovery), visualize data, and identify actions to reach needed results. Ability to quickly assess current state and apply technical concepts across cross-functional business workflows. Experience with driving successful execution, deliverables, and accountabilities to meet quality and schedule goals. Ability to translate complex data into actionable insights that drive business value. Demonstrated ability to engage and establish collaborative relationships both inside and outside immediate workgroup at various organizational levels, across functional and geographic boundaries to achieve desired outcomes. Demonstrated ability to adjust behaviour based on feedback and provide feedback to others. Team-oriented mindset with effective communication skills and the ability to work collaboratively. Chevron participates in E-Verify in certain locations as required by law.

ABOUT US aioneers is a digital first supply chain management consulting firm, headquartered in Germany. We use state of the art cloud data technology and decades of supply chain consulting experience to deliver innovative decision intelligence solutions to our customers. YOUR ROLE AT AIONEERS As a Senior Data Scientist, you will be a pivotal member of the data science team within aioneers. You will be leading the solution implementation of data science work streams within our supply chain analytics projects. Often the projects involve solving complex supply chain problems like demand forecasting, multi-echelon inventory optimization, production scheduling, intelligent order fulfillment, rough cut capacity planning (RCCP) etc. You will also provide technical guidance and mentorship junior data scientists in the team. You will own development and implementation of end-to-end life cycle of machine learning solutions from data modelling, feature engineering, ML solution structuring to MLOps process implementation of automated model serving You will play the role of a technology architect to design efficient MLOps process for large scale model deployments and high frequency servings using Azure data and ML services You will provide thought leadership to solution architects and project managers to come up with effective solution architecture for client s problems You will be building heuristics, Operations research techniques based (like linear programming and discrete optimization) solutions to solve optimization problems in supply chain space You will also lead the data engineering work activities within the projects to create required data models with features stores for ML implementations and post processing activities to make the outputs consumable for business use cases YOUR PROFILE We are looking for someone with 5 to 8 years of relevant data science and machine learning experience in solving supply chain problems Data Science and Machine Learning Skills Understanding of statistical methods (e.g., regression, hypothesis testing) and optimization techniques like linear programming and mixed-integer programming for supply chain problems Proficiency in methods like ARIMA, SARIMAX, Prophet, or advanced techniques using neural networks (e.g., LSTMs, Temporal Fusion Transformer) Familiarity with supervised and unsupervised learning for classification (e.g., demand segmentation) and clustering (e.g., supplier categorization) Knowledge of CI/CD pipelines for ML, including retraining, deployment, and monitoring models using Azure DevOps or GitHub Actions Supply Chain Domain Knowledge: Seasoned expertise in demand forecasting using ML. Understanding the nuances of intermittent, erratic and lumpy demand patterns and how to solve them using ML techniques Knowledge of EOQ, reorder point models, safety stock modelling and inventory simulation techniques would be a plus Programming and Technical Skills Expertise in setting up end to end MLOps processes - model training, deployment, and tracking experiments Expertise in creating data pipelines for ETL processes and connecting supply chain data sources Proficiency in integrating ERP data from systems like SAP into Azure via connectors or APIs Deploying scalable ML models as APIs using AKS (Kubernetes) Expertise in handling large-scale supply chain datasets using Spark, Databricks, or Azure Synapse Advanced query skills in Azure SQL Database or Cosmos DB for real-time analytics Advanced proficiency in Python for ML modelling, data analysis, and libraries like Scikit-learn, PyTorch, TensorFlow Version control and automating deployments using Azure DevOps or GitHub Actions Ability to think through automation, pipeline design and other MLOps processes Conceptual and pragmatic knowledge of the concepts of data modelling, feature engineering, fine tuning machine learning models, statistical model validation Educational Background and Experience Engineering degree in computer science, informatics, data analytics and other relevant branches Affinity for new technologies and a drive for independent learning Affinity for an open feedback culture with flat hierarchies WHY AIONEERS At aioneers, we are building the next generation innovative solutions on supply chain technologies. What we can offer is a wonderful team culture, flexible work hours, respect for your ideas, open discussions / open door policies and attractive remuneration. Your results count and not the hours. You will have the chance to actively participate in the development and execution of innovative business strategies on an international scale. Apply for this job Apply for this job

About Client Hiring for One of the Most Prestigious Multinational Corporations! Job Description Job Title : Data Analyst Qualification : Any Graduate or Above Relevant Experience : 5 to 7yrs Required technical skill: 5+ years of hands-on experience in data science, analytics, or machine learning. Expert proficiency in Python , including libraries like pandas, scikit-learn, NumPy, etc. Strong experience in SQL for data extraction and transformation. Proven ability to build and evaluate supervised and unsupervised ML models. Experience with model deployment, version control (e.g., Git), and working in cloud environments (AWS/GCP/Azure). Location : Bangalore / Mumbai CTC Range : 12 to 17lpa Notice period : Immediate to currently serving to till march Quiline Roopa M Subject Matter Expert (SME) Black and White Business solutions PVT Ltd Bangalore, Karnataka, INDIA roopa@blackwhite.in I www.blackwhite.in +91 9739199898

SreeVia Ai Technologies is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Diverse Lynx is looking for Data Scientist with Python ,AI/ML to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

YoCreativ is looking for Data Analyst to join our dynamic team and embark on a rewarding career journey Collecting and analyzing large data sets using statistical and data visualization tools Identifying patterns, trends, and correlations in data to inform business decisions Developing and maintaining databases, data systems, and data analytics tools Developing and implementing data analysis processes and methodologies Creating and delivering reports and presentations that clearly communicate data insights to management and other stakeholders Collaborating with other departments, such as marketing and operations, to develop data-driven solutions to business problems Ensuring data accuracy, completeness, and integrity Designing and conducting experiments to test hypotheses and validate assumptions Developing and maintaining predictive models to forecast business outcomes

ZS Advanced Data Science - Associate ZS is a place where passion changes lives. As a management consulting and technology firm focused on transforming global healthcare and beyond, our most valuable asset is our people. Here youll work side-by-side with a powerful collective of thinkers and experts shaping solutions from start to finish. At ZS, we believe that making an impact demands a different approach; and thats why here your ideas elevate actions, and here youll have the freedom to define your own path and pursue cutting-edge work. We partner collaboratively with our clients to develop products that create value and deliver company results across critical areas of their business including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy and many more. If you dare to think differently, join us, and find a path where your passion can change lives. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. About Advanced Data Science (ADS): ZS Advanced Data Science group is focused on creating practical impact for clients across various industries such as Healthcare and Bio-Tech, Hi-Tech & Telecommunication, Financial Services and Travel through advanced analytics and emerging data sources. Emerging datasets include both unstructured datasets (for example, text, voice, image, etc.) and semi-structured datasets (for example, patient-level records). Advanced analytical techniques span a range of innovative machine learning, artificial intelligence, advanced statistics and optimization approaches. Being part of the ADS group at ZS will be an opportunity for you to work on cutting-edge solutions, utilizing new age data sources to shape innovations across multiple areas, for our clients and the broader ZS community. A key enabler of our services is leveraging data in delivering client solutions. The data available about customers is getting richer and the problems that our customers are trying to answer continue to evolve. In our endeavor to stay ahead in providing solutions to these evolving complex problems, ZS has set up an Advanced Data Science which has three major focus areas: • Research the evolving datasets and advanced analytical techniques to develop new offerings/solutions • Deliver client impact by collaboratively implementing these solutions • Provide thought leadership by developing the ZS Point of View in this space Data Science Associate Data Science Associate (DSA) design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. Responsibilities: Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner • Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information • Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings • Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform • Evaluating emerging datasets and technologies that may contribute to our analytical platform • Owning the development of select assets/accelerators for efficient scaling of capability, with a focus on leveraging generative AI and deep learning methodologies. • Integrate engineering principles into data science workflows, optimizing algorithms for performance, scalability, and maintainability. • Collaborate with the engineering team to implement and deploy data science solutions into production, ensuring seamless integration with existing systems. • Utilize software engineering best practices for version control, code review, testing, and documentation to maintain high-quality, reliable, and reproducible data science workflows. Qualifications: Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytic and quantitative coursework is required. • 1-3 years of Data Science experience, including proficiency in generative AI, deep learning, statistical techniques, and engineering integration for scalable solutions. • Knowledge of programming (e.g. Java/Python/R); • Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.); • Excellent oral and written communication skills. • Strong attention to detail, with a research-focused mindset; • Excellent critical thinking and problem-solving skills; • High motivation, good work ethic and maturity. • Exposure to Generative AI and its usage to solve problems is a plus. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact in global healthcare and beyond. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com

Primary Responsibilities: Design and execute real-world evidence studies using diverse data sources such as claims, EHR, and patient surveys to evaluate the value of medical interventions Conduct advanced statistical and econometric analyses to support health outcomes research and inform healthcare decision-making Collaborate with cross-functional teams and clients to develop research protocols, manage project timelines, and ensure high-quality deliverables Contribute to scientific dissemination through manuscripts, abstracts, and conference presentations, supporting the generation of peer-reviewed publications Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Undergraduate degree or equivalent experience Technical Skills: Proficiency in statistical software such as SAS, R, STATA, or SQL; experience with real-world data sources like claims, EHR, and registries Research ExpertiseDemonstrated solid foundation in study design, econometric modeling, and outcomes research methodologies CommunicationDemonstrated excellent written and verbal communication skills, with experience in medical writing, including manuscripts, abstracts, and posters CollaborationDemonstrated ability to work in cross-functional teams and manage multiple projects in a client-facing environment At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission. #Nic #NJP

Job description: We are having a F2F weekend drive for the requirement of a Data Scientist + Gen AI at our LTIM Hyderabad office Date - 2nd August 2025 Experience - 6+ Years Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS, AI/ML, NLP Location - LTIMindtree - Hyderabad Office. Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment. Generic JD- More than 5 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen

Primary Responsibilities: Developing end-to-end pipeline for different document processing use cases Connecting with business for requirement gathering and status updates Maintaining accuracy of the work delivered Work closely with team lead throughout the solution development lifecycle, from design to implementation Work with the business teams to operationalize the ML solution for document processing solutions Engage in client communications for all important functions including requirement gatherings, strategizing solutions, delivering updates etc. Acquire understanding of US Healthcare domain Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Working understanding of deep learning especially NLP space Proficient in tools such as Python, SQL , Spark Microsoft Office Excel or PowerPoint Proficient in statistical techniques and standard Machine Learning Proficient in Generative AI and Agentic AI At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. #NIC Apply Internal Employee Application

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled and innovative AI/ML Engineer to join our team. This role focuses on designing, developing, and deploying cutting-edge solutions using Generative AI (GenAI), Large Language Models (LLMs), Machine Learning Models and Azure OpenAI Services. Primary Responsibilities: Design and implement AI/ML models with a focus on GenAI, LLMs, ML models, RAG architectures Develop and fine-tune Bots (Chat/Voice) Integrate AI solutions into enterprise applications using Azure AI and App Services Collaborate with cross-functional teams to define use cases and deliver AI-powered features Develop and maintain Solid relationships with stakeholders, customers, and partners internally and externally Ensure responsible AI practices, including bias mitigation, explainability, and compliance Monitor model performance and retrain as needed to maintain accuracy and relevance Stay up to date with the latest AI and machine learning technologies and trends Conduct evaluations and assessments of new tools and technologies to ensure that the team stays at the frontier of Artificial Intelligence & Machine Contribute to internal AI/ML knowledge sharing and mentoring initiatives Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s degree in computer science/IT/Math/Statistics/Engineering, or equivalent work experience 7+ years of overall experience with 5+ years of experience in AI/ML Healthcare Industry experience Experience leading and implementing AI/ML projects with demonstrable value to the organization, from ideation to delivery and evaluation Hands-on experience with GenAI tools, LLMs (eg, GPT, LLaMA), and RAG pipelines Knowledge of ethical AI principles and responsible AI deployment strategies Solid programming skills in Python and experience with ML frameworks (eg, PyTorch, TensorFlow) Proficiency in Azure OpenAI Services, Azure Machine Learning Familiarity with prompt engineering, semantic search, and vector databases Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions Proven good conflict management and prioritization skills At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone – of every race, gender, sexuality, age, location and income – deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes – an enterprise priority reflected in our mission. #NIC External Candidate Application Internal Employee Application

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role The OP&S Consultant plans, develops, implements, and administers strategic interventions in the field of workforce and organization. The primary areas include Shaping futuristic work models and structures that support new ways of working Aligning the corporate culture that fosters successful digital transformation Building sustainable organisation that promotes diversity, equity, and inclusiveness Roles and Responsibilities Design and deliver projects on Org structuring/restructuring and Org transformation Design Governance Model/Target Operating Model for clients Design Digital Culture Assessment and Culture development Deliver projects in Diversity, Equity, and Inclusion (DE&I) and other people sustainability initiatives Deliver varied organizational development projects including Competency Framework Design, Career Architecture Design etc. Liaison and negotiate with senior stakeholders and leadership and influence them over strategic decisions required within organizations Your Profile Lead and execute projects single-handedly (viz. the relevant project management processes - i.e., initiate, plan, execute, monitor, and control and close, and the supporting processes e.g., scope, cost, time, issue, risk, resource, communication, stakeholder management) Diagnose and strategize the need for change and articulate it well to all involved Design and execute workshops/seminars/trainings for the stakeholders involved What youll 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. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Seeking a highly skilled and analytical Data Scientist / Machine Learning Engineer to join our team. The ideal candidate will have a strong foundation in data science , machine learning , and statistical analysis , with hands-on experience in building scalable models and working with large datasets in cloud-based environments. Key Responsibilities: Design, develop, and deploy machine learning models for real-world applications using Python , scikit-learn , TensorFlow , or PyTorch . Perform data cleaning , wrangling , transformation , and exploratory data analysis (EDA) using pandas and other Python libraries. Apply statistical techniques such as hypothesis testing , regression analysis , ANOVA , and probability theory to derive insights. Implement supervised and unsupervised learning algorithms , conduct feature engineering , model evaluation , and hyperparameter tuning . Develop data visualizations using Matplotlib , Seaborn , or ggplot to communicate findings effectively. Work with big data technologies such as Apache Hadoop , Apache Spark , or distributed databases for large-scale data processing. Write optimized SQL queries and manage relational databases for data extraction and transformation. Contribute to data engineering pipelines , including data integration , warehousing , and architecture design . Utilize cloud platforms like Microsoft Azure , including Azure Machine Learning , for scalable model deployment. Collaborate using version control systems like Git for code management and team coordination. (Optional/Desirable) Experience with YOLO or other deep learning models for object detection. Qualifications: Bachelors or Masters degree in Computer Science , Data Science , Statistics , Engineering , or a related field. 48 years of experience in data science , machine learning , or AI development . Strong programming skills in Python and experience with data science libraries . Solid understanding of statistical methods , machine learning algorithms , and data modeling . Experience with cloud computing , big data tools , and database management . Preferred Skills: Experience with YOLO , OpenCV , or computer vision frameworks. Familiarity with CI/CD pipelines for ML model deployment. Knowledge of MLOps practices and tools. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.

Skilled and motivated Data Engineer to join our dynamic technology team. The ideal candidate will have a strong background in data processing, cloud computing, and software development , with hands-on experience in Python, PySpark, Java , and Microsoft Azure . You will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support advanced analytics and data science initiatives. Key Responsibilities: Design, develop, and maintain robust data pipelines using PySpark , Python , and Java . Implement and manage data workflows on Microsoft Azure and other public cloud platforms . Collaborate with data scientists, analysts, and IT operations to ensure seamless data integration and availability. Optimize data systems for performance, scalability, and reliability. Ensure data quality, governance, and security across all data platforms. Support DevOps practices for continuous integration and deployment of data solutions. Monitor and troubleshoot data infrastructure and resolve system issues. Document processes and maintain data architecture standards. Required Skills & Qualifications: Bachelors or Masters degree in Computer Science, Information Technology, or related field. 3+ years of experience in data engineering , software development , or IT operations . Proficiency in Python , PySpark , and Java . Experience with cloud computing platforms, especially Microsoft Azure . Strong understanding of data management , data processing , and data analysis . Familiarity with multi-paradigm programming and modern software development practices. Knowledge of DevOps tools and methodologies. Experience with system administration and cloud providers . Excellent problem-solving and communication skills. Preferred Qualifications: Certifications in Azure , Python Data Science , or related technologies. Experience with public cloud environments like AWS or GCP. Familiarity with big data tools and frameworks. Exposure to data science workflows and tools. Skilled and motivated Data Engineer to join our dynamic technology team. The ideal candidate will have a strong background in data processing, cloud computing, and software development , with hands-on experience in Python, PySpark, Java , and Microsoft Azure . You will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support advanced analytics and data science initiatives. Key Responsibilities: Design, develop, and maintain robust data pipelines using PySpark , Python , and Java . Implement and manage data workflows on Microsoft Azure and other public cloud platforms . Collaborate with data scientists, analysts, and IT operations to ensure seamless data integration and availability. Optimize data systems for performance, scalability, and reliability. Ensure data quality, governance, and security across all data platforms. Support DevOps practices for continuous integration and deployment of data solutions. Monitor and troubleshoot data infrastructure and resolve system issues. Document processes and maintain data architecture standards. Required Skills & Qualifications: Bachelors or Masters degree in Computer Science, Information Technology, or related field. 3+ years of experience in data engineering , software development , or IT operations . Proficiency in Python , PySpark , and Java . Experience with cloud computing platforms, especially Microsoft Azure . Strong understanding of data management , data processing , and data analysis . Familiarity with multi-paradigm programming and modern software development practices. Knowledge of DevOps tools and methodologies. Experience with system administration and cloud providers . Excellent problem-solving and communication skills. Preferred Qualifications: Certifications in Azure , Python Data Science , or related technologies. Experience with public cloud environments like AWS or GCP. Familiarity with big data tools and frameworks. Exposure to data science workflows and tools.

Hiring Interns for Maxis Clinical Sciences interested to explore their careers in Healthcare AI 6 months paid internship with high chances of absorption basis peerformance Pre-MBA Candidates/Pre-Tech Majors with AI/Python/ Machine learning having interest to explore their careers in life sciences, pharma and biotech teams embed AI across Clinical Research. Our Agentic AI platform uses AI Agents to bring insights, automation, and copilots into existing workflow Shifts - Can be US Shifts or early morning shifts with overlap. Preferred candidate profile Youll work directly with the founding team, supporting high-impact initiatives across: Strategy: GenAI research, competitive intel, and market mapping Sales and GTM strategy: Client materials, project coordination, success enablement Finance: Fundraising, investor updates, and internal planning Technology: AI Agent development, Community building Special Projects: Fast-moving, zero-to-one internal initiatives What were looking for: High-agency generalist with strong work ethic, curiosity, and AI tool fluency (e.g., ChatGPT, Perplexity, AI Presentation tools, AI data analysis tools, Google Suite) Preferred: MBA / Tech (Tier 1/Tier 2) or prior strategic/startup role Bonus: Experience in US pharma-tech or the GenAI ecosystem If interested please share a response about 1. Why you’re the right fit 2. What sets you apart (pharma-tech, fundraising, or founding team experience) on Puja.k@maxisclinical.com Regards Puja Khemchandani

Key Responsibilities: Live Instruction: Teach core DS/ML topics (supervised & unsupervised learning, deep learning, model evaluation, MLOps) through interactive sessions. Curriculum Collaboration: Work with content teams to design labs, code walkthroughs, and real-world case studies using Python, scikit-learn, TensorFlow/PyTorch, and cloud-based DS/ML services. Learner Support: Field technical questions, debug code, review notebooks, and provide actionable feedback on assignments and projects. Project Mentorship: Guide capstone worke.g., image/video models, NLP pipelines, recommendation systems, and deployment pipelines. Continuous Improvement: Analyze learner performance data to refine modules, introduce emerging topics (e.g., transformers, generative models), and enhance assessments. Requirements: 3+ years of industry or academic experience in DS/ML or AI. Minimum Masters degree in DS or ML &AI or CS specialization in AI & DS/ML Proficiency in Python and ML frameworks (scikit-learn, TensorFlow or PyTorch). Familiarity with MLOps tools (Docker, Kubernetes, MLflow) and cloud ML services (AWS SageMaker, GCP AI Platform, or Azure ML). Excellent presentation and mentoring skills in live and small-group settings. Prior teaching or edtech experience is a strong plus.

Analyst-GenAI: Elevate Your Impact Through Innovation and Learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4, 500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development and work-life balance. About Data Analytics (DA) Data Analytics is one of the highest growth practices within Evalueserve, providing you rewarding career opportunities. Established in 2014, the global DA team extends beyond 1000+ (and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced analytics, technology, and product engineering. Our more tenured teammates, some of whom have been with Evalueserve since it started more than 20 years ago, have enjoyed leadership opportunities in different regions of the world across our seven business lines. What you will be doing at Evalueserve Design, develop, and optimize LLM-based applications for various use cases such as chatbots, content generation, summarization, and code generation. Design, develop, and deploy high-performance Generative AI applications using Python, LLMs, and deep learning frameworks. Write clean, modular, and scalable code while ensuring best practices in software development. Fine-tune and deploy large-scale open-source and proprietary language models (e.g., OpenAI GPT, LLaMA, Mistral, Falcon, Claude). Implement prompt engineering, retrieval-augmented generation (RAG), and model optimization techniques to improve AI performance. Work with vector databases (FAISS, ChromaDB, Weaviate, etc.) for efficient retrieval and indexing of large datasets. What were looking for A bachelor's / masters degree in computer sciences, information systems, statistics, or mathematics, with 1-3 years of experience in software development Collaborate with cross-functional teams, including data scientists, MLOps engineers, and product managers, to integrate AI models into production systems. Optimize model performance and reduce latency using quantization, distillation, and pruning techniques. Stay up to date with cutting-edge research in AI, NLP, and deep learning to continuously improve solutions. Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) for model deployment. Strong problem-solving skills and experience working in an agile development environment. 1+ years of experience in AI/ML, deep learning, or software development Follow us on https://www.linkedin.com/compan y/evalueserve/ Click here to learn more about what our Leaders talking onachievements AI-poweredsupply chain optimization solution built on Google Cloud. HowEvalueserve isnow Leveraging NVIDIA NIM to enhance our AI and digital transformationsolutions and to accelerate AI Capabilities . Know more about how Evalueservehas climbed 16 places on the 50 Best Firms for Data Scientists in 2024! Want to learn more about ourculture and what its like to work with us? Write to us at: careers@evalueserve.com Disclaimer: The following job description serves as an informative referencefor the tasks you may be required to perform. However, it does not constitutean integral component of your employment agreement and is subject to periodicmodifications to align with evolving circumstances. Please Note : We appreciate the accuracy and authenticity of the informationyou provide, as it plays a key role in your candidacy. As part of the BackgroundVerification Process, we verify your employment, education, and personaldetails. Please ensure all information is factual and submitted on time. Forany assistance, your TA SPOC is available to support you .

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India Minimum qualifications: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience, 9 years of experience using analytics to solve product or business problems, coding ( e-g , Python, R, SQL), querying databases or statistical analysis, 3 years of experience as a people manager within a technical leadership role, Preferred qualifications: Experience in leading and evolving data science and engineering teams with technical strengths, Experience preparing and delivering presentations to executive leadership, Ability to operate in a cross-functional organization where collaboration with other teams is essential to the success of our team, Ability to adept at distilling analyses into data driven narratives, Excellent communication skills, especially in communicating technical and statistical concepts clearly and concisely among audiences at different levels, About the jobAs a Data Science Manager in the Measurement Center of Excellence, you will lead a team of technical experts, utilizing Googles Machine Learning capabilities to build data science and measurement solutions to our Large Customer Sales (LCS) clients You will closely collaborate with clients, agencies and internal teams, In this role, you will be responsible for leading a team of data scientists in applying best data science practices to solve our ads customersproblems in marketing You will be responsible for building and executing gTechs strategy and outlook to deliver applied data science to Google's largest ads customers, utilizing the best of Googles Machine Learning capabilities to build innovative solutions that address our customer's problem-space, Responsibilities Lead a team of Data Scientists responsible for delivering data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management, Develop a data science roadmap for your team that aligns with Data Science strategy and Objectives and Key Results (OKRs) Establish project goals, align individuals' expectations, coordinate resources, and provide technical leadership in-line with the long-term objectives, Provide analytical thought leadership in the areas of Data Science and Measurement through proactive and strategic contributions, Influence stakeholders through effective presentations and written communication, Collaborate with Product/Engineering teams to increase and optimize capabilities of the Applied Data Science team, employing methods which create opportunities for scale, and help to drive innovation, Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form , Show

Job Title: Senior Manager IT, Generative AI Engineer Introduction To Role Are you ready to lead the charge in transforming business challenges into innovative solutionsPlay a pivotal role as a Senior Manager in Alexion IT RDU by working with the IT Director of Data Science Your missionTo lead technically and strategically in crafting and deploying brand new Machine Learning solutions, with a particular emphasis on Generative AI Your expertise will be key in architecting, scaling, and deploying impactful AI models that drive our business forward, Accountabilities Lead the development and refinement of Generative AI systems and applications using brand new models to tackle complex business problems, Drive the design, development, and continuous improvement of robust infrastructure and tools for Machine Learning and Generative AI models, ensuring scalability and efficiency, Provide technical mentorship for the full lifecycle development of Generative AI agents, from conceptualization to deployment, ensuring meaningful, reliable, and secure interactions, Architect and lead the integration of pre-trained Generative AI models into custom applications to enable innovative functionalities and enhance existing capabilities, Work with senior engineers to craft interactive systems using Generative AI for dynamic content or decision support, encouraging innovation and standard methodologies, Build and optimize scalable and resilient infrastructure for running Generative AI applications in production, ensuring high performance, cost-efficiency, and reliability, Oversee the implementation of user interfaces or API endpoints for seamless interaction with Generative AI functionalities, ensuring a positive user experience, Design and oversee data pipelines and preprocessing steps for feeding Generative AI models with high-quality data for generation tasks, Define, implement, and monitor the operational health and performance of Generative AI applications in production, driving continuous improvement based on performance metrics, Contribute to the development of assets, frameworks, and reusable components for Generative AI, Machine Learning, and MLOps practices, Engage with diverse stakeholders to translate complex business needs into clear technical requirements, gather feedback, and iteratively drive improvements for Generative AI applications, Support the integration of Generative AI models within the Machine Learning ecosystem, ensuring ethical use and business relevance, Assist with monitoring and governance of Generative AI models to align with evolving business and regulatory requirements, Essential Skills/Experience Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field 6+ years of experience in Machine Learning, data science, or software development Strong understanding and practical experience with advanced ML Engineering concepts and tools, including Docker/containerization, orchestration ( e-g , Kubernetes), and robust MLOps practices for end-to-end model lifecycle management Demonstrated experience designing, implementing, and optimizing robust CI/CD pipelines using tools such as GitHub Actions, Jenkins, or Bitbucket pipelines for automated ML model deployment and continuous integration Proficiency in Python programming, coupled with deep experience in utilizing and optimizing leading ML libraries such as TensorFlow, Keras, or PyTorch for complex Generative AI applications and research Experience with cloud computing platforms, such as AWS, Azure or GCP Comprehensive understanding of software engineering principles, design patterns, and best practices ( e-g , modular design, testing, code review), with proven experience leading or significantly contributing within agile development methodologies Proficient in communication and collaboration, eager for diverse team work, articulate technical concepts to diverse groups, motivate teams to achieve project goals, Proactive and eager to learn with strong analytical and problem-solving skills Desirable Skills/Experience Experience in the pharmaceutical industry or related fields Masters or PhD degree in a related field ( e-g , Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative subject area) Proven track record of successfully leading and delivering complex, production-grade Generative AI projects from ideation and research to deployment and operationalization When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines In-person working gives us the platform we need to connect, work at pace and challenge perceptions That's why we work, on average, a minimum of three days per week from the office But that doesn't mean we're not flexible We balance the expectation of being in the office while respecting individual flexibility Join us in our unique and ambitious world, At AstraZeneca's Alexion division, your career journey is intertwined with a mission that truly matters Our passion drives us to innovate continuously while creating meaningful value Here you will find an energizing culture where connections are built to explore new ideas With tailored development programs designed not just for skill enhancement but also for fostering a deep understanding of our patient's journeys You will be part of a community that celebrates diversity and innovation while making a difference where it truly counts, Ready to make an impactApply now to join our team! Date Posted 18-Jul-2025 Closing Date 30-Jul-2025 Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law Alexion provides reasonable accommodations to meet the needs of candidates and employees To begin an interactive dialogue with Alexion regarding an accommodation, please contact accommodations@Alexion Alexion participates in E-Verify, Show

Are you excited by the prospect of wrangling data, helping develop information systems/sources/tools, and shaping the way businesses make decisionsThe Go-To-Markets Data Analytics team is looking for a skilled Data Engineer who is motivated to deliver top notch data-engineering solutions to support business intelligence, data science, and self-service data solutions. About the Role: In this role as a Data Engineer, you will Design, develop, optimize, and automate data pipelines that blend and transform data across different sources to help drive business intelligence, data science, and self-service data solutions. Work closely with data scientists and data visualization teams to understand data requirements to ensure the availability of high-quality data for analytics, modelling, and reporting. Build pipelines that source, transform, and load data thats both structured and unstructured keeping in mind data security and access controls. Explore large volumes of data with curiosity and conviction. Contribute to the strategy and architecture of data management systems and solutions. Proactively troubleshoot and resolve data-related and performance bottlenecks in a timely manner. Be open to learning and working on emerging technologies in the data engineering, data science and cloud computing space. Have the curiosity to interrogate data, conduct independent research, utilize various techniques, and tackle ambiguous problems. Shift Timings12 PM to 9 PM (IST) Work from office for 2 days in a week (Mandatory) About You Youre a fit for the role of Data Engineer, if your background includes Must have at least 4-6 years of total work experience with at least 2+ years in data engineering or analytics domains. Graduates in data analytics, data science, computer science, software engineering or other data centric disciplines. SQL Proficiency a must. Experience with data pipeline and transformation tools such as dbt, Glue, FiveTran, Alteryx or similar solutions. Experience using cloud-based data warehouse solutions such as Snowflake, Redshift, Azure. Experience with orchestration tools like Airflow or Dagster. Preferred experience using Amazon Web Services (S3, Glue, Athena, Quick sight). Data modelling knowledge of various schemas like snowflake and star. Has built data pipelines and other custom automated solutions to speed the ingestion, analysis, and visualization of large volumes of data. Knowledge building ETL workflows, database design, and query optimization. Has experience of a scripting language like Python. Works well within a team and collaborates with colleagues across domains and geographies. Excellent oral, written, and visual communication skills. Has a demonstrable ability to assimilate new information thoroughly and quickly. Strong logical and scientific approach to problem-solving. Can articulate complex results in a simple and concise manner to all levels within the organization. #LI-GS2 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 6+ years' experience in technology roles. Must have a minimum of 2 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.