3566 Data Scientist Jobs - Page 46

Are you an experienced data scientist with a passion for applying advanced analytics to organizational and people-related dataDo you want to help shape the future of work at a global, diverse company like InfineonJoin us as a Data Scientist - People Analytics and contribute to impactful projects that drive data-informed decisions across our HR landscape.This position is part of the newly established Data Analytics & Reporting Team within HR Digital, which belongs to HR People Services. Our vision is to empower HR to become a truly data-driven organization and to create tangible value from data for our people, our processes, and our business. In your new role you will: Evaluate, apply analytical methods and tools (eg, regression models/GLM, simulations, machine learning) to generate actionable diagnostic, predictive, and prescriptive insights. Collaborate with HR Global Functional Teams (GFT) (eg, Talent Acquisition, Talent Development, Organizational Effectiveness) to develop scalable analytical approaches across a variety of use cases. Contribute to making HR a data-driven organization by interpreting and communicating insights clearly to stakeholders and provide data-driven decision support to HR business partners and leaders. Identify and prepare relevant data sets to explore opportunities to enhance data quality and collection, and prepare data (eg, using Tableau Prep Builder ) for visualization. Identify innovative data science practices and defining data requirements. Document methodologies and best practices, and support the upskilling of key stakeholders through knowledge sharing. Actively contribute to the growth of our Data Scientist Community. You are best equipped for this task if you have: As a Data Scientist , you quickly absorb information, analyze it from multiple perspectives, and uncover meaningful patterns . You maintain a strategic view even in complex situations and support decision-making in uncertain environments. You are a collaborative team player who builds strong relationships with stakeholders. A degree focused on empirical or statistical methods, such as Economics, Computer Science, Machine Learning, Mathematics, or Statistics; ideally a Master s degree . 4-6 years of relevant experience in applying analytics in a business context . Strong expertise in advanced analytical methods and the ability to translate insights into actionable recommendations. Solid experience in empirical social research methods (eg, regression models/GLM, NLP, ML). Proficiency in Python or R and relevant libraries , along with hands-on experience using data visualization tools such as Tableau and Tableau Prep Builder. Experience leading or coordinating data science projects, ideally with exposure to People Analytics (a plus, but not required). Excellent command of English

Design and deploy predictive models (eg, forecasting, churn analysis, fraud detection) using Python/SQL, Spark MLlib, and Databricks ML. Build end-to-end ML pipelines (data ingestion feature engineering model training deployment) on Databricks Lakehouse. Optimize model performance via hyperparameter tuning, AutoML, and MLflow tracking. Collaborate with engineering teams to operationalize models (batch/real-time) using Databricks Jobs or REST APIs. Implement Delta Lake for scalable, ACID-compliant data workflows. Enable CI/CD for ML pipelines using Databricks Repos and GitHub Actions. Troubleshoot issues in Spark Jobs and Databricks Environment. Requirements: Experience should have 3 to 5 years in predictive analytics, with expertise in regression, classification, time-series modeling. Hands-on experience with Databricks Runtime for ML, Spark SQL, and PySpark. Familiarity with MLflow, Feature Store, and Unity Catalog for governance. Industry experience in Life Insurance or P&C. Good to have certification on Databricks Certified ML Practitioner. Technical Skills: Python, PySpark, MLflow, Databricks AutoML. Predictive Modelling (Classification, Clustering, Regression, timeseries and NLP). Cloud platform (Azure/AWS), Delta Lake, Unity Catalog.

Role & responsibilities 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

Responsibilities: * Develop generative AI models using machine learning techniques. * Optimize data pipelines with LangChain. * Collaborate cross-functionally on project delivery. Health insurance Annual bonus Provident fund

About the job Position: Assistant Manager/Manager Credit Risk What will your day look like - Leading a dynamic team to deliver high impact risk solutions across credit risk (underwriting, exposure controls and line management).- Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies- Manage challenging time constraints to ensure on-time delivery of projects.- Work closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation.- Analyze loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc.- Work closely with data science team and recommends credit risk decisioning and model deployment strategy.- Build a risk scorecard that leverages both internal performance data and external performance data that will be leveraged for credit decisioning at both underwriting and account management reviews for existing customers.- Collates analysis and builds presentations that helps articulate the risk strategy for the leadership team. To Help Us Level Up, You Will Ideally Have : - Quantitative background in engineering, statistics, math, economics, business, or related disciplines.- 5+ years experience in analyzing data and using database query language (e. SQL) analysis and programming and developer tools such as Python, R, data bricks in a finance or analytics field.- 2+ years of experience in leading high performing team of analysts.- Experience in working with non-traditional data such as social media will be a big plus.- Prior model building experience is a plus but not critical.- Possesses an analytical mindset and strong problem-solving skills.- Attention to detail and ability to multitask.- Comfortable working in a fast-paced environment and dealing with ambiguity.- Possesses strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams.- Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud related activities.

About the role The Data Intelligence Center of Excellence is looking for a high-performing Senior Data Scientist to support Blackbaud customers through the creation and maintenance of intelligent data products . Additionally, the senior data scientist will collaborate with team members on research and thought leadership initiatives . What youll do Use statistical techniques to manage and analyze large volumes of complex data to generate compelling insights to include predictive modeling, storytelling, and data visualization I ntegrate data from multiple sources to create dashboards and other end-user reports Interact with internal customers to identify and define topics for research and experimentation Contribute to white papers, presentations, and conferences as needed C ommunicate insights and findings from analys e s to product, service, and business managers Work with data science team to automate and streamline modeling processes Manage standard tables and programs within the data science infrastructure , providing updates as needed Maintain updated documentation of products and processes Participate in team planning and backlog grooming for data science roadmap What you'll bring We are seeking a Data Scientist with 5+ years of hands-on experience demonstrating strong proficiency in the following areas 2 + years of machine learning and /or statistics experience 2 + years of experience with data analysis in Python, R, SQL, Spark, or similar Comfortable asking questions and performing in-depth research when given vague or incomplete specifications Confidence to learn product functionality on own initiative via back-end research, online training resources, product manuals, and developer forums Experience with Databricks, Databricks SQL Analytics is a plus Stay up to date on everything Blackbaud, follow us on Linkedin, X, Instagram, Facebook and YouTube Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

About Data Axle: Data Axle Inc. has been an industry leader in data, marketing solutions, sales and research for over 45 years in the USA. Data Axle has set up a strategic global centre of excellence in Pune. This centre delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business & consumer databases. Data Axle is headquartered in Dallas, TX, USA. Roles & Responsibilities: We are looking for a Senior Data Scientist to join the Core Data Science team as we build the next chapter in our profitable company. We are looking for experienced data science, machine learning and MLOps practitioners to design, build and deploy impactful data products that serve a wide range of data customers. This team is the central engine of a company that is obsessed with data quality, accuracy, and availability. Ownership of design, implementation, and deployment of machine learning algorithms in a modern Python-based cloud architecture. Create, build, and release new capabilities for user interaction with data assets using modern APIs and frameworks. Deliver accessible and responsive code of high quality (automated build/test/deploy): CI/CD experience preferred but not required. Visualize and publish analytical results and insights to internal and external audiences. Work as an integral part of an agile team. Ability to adapt to changing requirements while managing expectations with a variety of internal and external stakeholders Be exemplars of data-driven culture at a rapidly evolving company. ","jobQualifications":" Ph.D or Masters in a quantitative/applied field (Statistics, Econometrics, Computer Science, Operations Research, Mathematics, Engineering, Physics). 5+ years of real-world Machine Learning Production development and deployment experience required. This is not an entry-level role. We require experience in deploying ML models in production . Exhibit deep knowledge of core mathematical principles relating to data science and machine learning (Statistics, Probability, ML Theory + Best Practices, NLP, Feature Engineering, Supervised and Unsupervised ML, A/B Testing, etc.) . Proficiency in Python and SQL required. Preliminary knowledge of Spark, web services, and RESTful APIs. Familiarity with SAS is valued but not required. Familiarity with master data management principles highly valued. Experience in cloud infrastructure (AWS, GCP, Snowflake ). Familiarity with modern CI/CD methods preferred but not required. Proven ability to work within a team to deliver impactful solutions from the ground up. Proven ability to communicate successfully with others remotely. Bonus points for a well-curated GitHub/GitLab personal repo with projects to highlight your DS / ML work. This position description is intended to describe the duties most frequently performed by an individual in this position. It is not intended to be a complete list of assigned duties but to describe a position level. ","

Moniepoint is Africas all-in-one financial ecosystem, empowering businesses and their customers with seamless payment, banking, credit, and management tools. In 2023, we processed $182 billion and are Nigeria s largest merchant acquirer. Your Opportunity and Mission We are looking for talented and passionate Data Scientist to join the Growth team. Data science and optimization are key drivers for Moniepoint s business growth and the Data Scientist joining will have the opportunity to build and own the most important models starting from our attribution and Marketing Mix Models Contribute the following areas: channel attribution modeling, mCAC per channel modeling, LTV prediction, Marketing Mix Modeling and multichannel attribution and testing Develop, test and own our production marketing attribution models for better budgeting and increased marketing efficiency Develop, test and productionize attribution and predictive algorithms by using state of the art machine learning algorithms and optimisation models Design experiments and interpret the results to draw detailed and actionable conclusions Work in cross-functional teams across disciplines such as product, engineering and business. You Have... +5 years of professional experience outside of an academic and internship setting, in a quantitative analysis role in top companies. FMCG or Fintech preferred. Holds at least an MSc, and preferably a PhD in a scientific discipline such as Physics, Statistics, Engineering, Computer Science or Mathematics Deep theoretical and applied knowledge in the following areas: statistical inference, bayesian statistics, causal inference, time series analysis and mathematical optimisation. Extensive experience at least in Multichannel Attribution Modeling and Marketing Mix Modeling Extensive experience in statistical programming (Python) and experience working with popular tools such as Pandas, SciPy, XGBoost, Jupyter/iPython notebooks and well-known modeling packages such as PyMC3 Extensive experience with the end-to-end predictive/prescriptive model development cycle, from problem definition to productionalization and maintenance. This includes excellent data modeling and SQL skills, and familiarity with Cloud infrastructure. Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc.) Experience with the application of statistical modeling and advanced analytics to provide product-shaping insights Excellent spoken and written English What Moniepoint Can Offer You The opportunity to drive financial inclusion and shape the future of the African financial ecosystem The chance to work on innovative and impactful projects A dynamic, diverse, and collaborative environment where every team member s voice is recognized and valued Flexible work arrangements Continuous learning and career growth opportunities Competitive salary, individual performance bonuses, and firmwide performance bonus Company covered health insurance plans Pension plans What to expect in the hiring process A preliminary phone call with one of our recruiters A general interview with the Senior Manager of Marketing Strategy A case study-based discussion with SVP of Marketing A behavioural interview with members of the Executive team Moniepoint is an equal-opportunity employer. We believe diversity makes us stronger and are committed to creating an inclusive environment for all employees and candidates.

Senior Developer/ Lead - Data Science Material+ is hiring for Lead Data Science, We are looking for Senior Developer/ Lead - Data Scientist with strong Generative AI experience, skilled in Python, TensorFlow/PyTorch/Scikit learn, Azure OpenAI GPT, and multi-agent frameworks like LangChain or AutoGen, with strong data preprocessing, feature engineering, and model evaluation expertise. Bonus : familiarity with Big Data tools (Spark, Hadoop, Databricks, SQL/NoSQL) and ReactJS Immediate Joiner Required Minimum Experience: 4+ years in Senior Developer/ Lead - Data Scientist Preferred Location: - Gurgaon/ Bangalore Job Description: - Generative AI: GenAI models (Eg.: Azure OpenAI GPT), Multi-Agent System Architecture: Proficiency in Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with LangChain , AutoGen , or similar frameworks for multi-agent systems. Strong knowledge of Data Science techniques, including data preprocessing, feature engineering, and model evaluation. Nice to have: Familiarity with Big Data tools (e.g., Spark, Hadoop) / Databricks and databases (e.g., SQL, NoSQL). Expertise in ReactJS for building responsive and interactive user interfaces. What We Offer Professional Development and Mentorship. Hybrid work mode with remote friendly workplace. (6 times in a row Great Place To Work Certified). Health and Family Insurance. 40+ Leaves per year along with maternity & paternity leaves. Wellness, meditation and Counselling sessions

The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization.The candidate should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Masters degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. Proficient in querying and analyzing large datasets using BigQuery on GCP. Strong Python skills for data wrangling and automation. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years experience in SQL programming language and relational databases. Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making by FCSD business team Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Join us as a Data Scientist You ll design and implement data science tools and methods which harness our data in order to drive market leading purposeful customer solutions We ll look to you to actively participate in the data community to identify and deliver opportunities to support the bank s strategic direction through better use of data This is an opportunity to promote data literacy education with business stakeholders supporting them to foster a data driven culture and to make a real impact with your work Were offering this role at associate level What youll do As a Data Scientist, you ll bring together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques and algorithms to develop and implement ethically sound models end-to-end. We ll look to you to understand the needs of business stakeholders, form hypotheses and identify suitable data and analytics solutions to meet those needs in order to support the achievement of our business strategy. You ll also be: Using data translation skills to work closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through analytics Applying a software engineering and product development lens to business problems, creating, scaling and deploying software driven products and services Working in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and scrum outcomes Selecting, building, training and testing machine learning models considering model valuation, model risk, governance and ethics, making sure that models are ready to implement and scale Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment The skills youll need You ll need a strong academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science. You ll have atlease four years of experience with statistical modelling and machine learning techniques. We ll also look for financial services knowledge, and an ability to identify wider business impact, risk or opportunities and make connections across key outputs and processes You ll also demonstrate: The ability to use data to solve business problems from hypotheses through to resolution Experience in data science, analytics, and machine learning with strong understanding of statistical analysis, machine learning models and concepts, LLMs, and data management principles Proficiency in Python and relevant libraries such as Pandas, NumPy, and Scikit-learn Experience of cloud applications such as AWS Sagemaker and data visualisation tools Experience in synthesising, translating and visualising data and insights for key stakeholders Good communication skills with the ability to proactively engage with a wide range of stakeholders Hours 45 Job Posting Closing Date: 28/07/2025

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 Understand client business requirement and provide suitable approach to solve the business problem in different domains. Develop strategies to solve problems in logical yet creative ways Helping & Managing teams of data scientist and produce project deliverables Processing, cleansing and verifying the integrity of data used for analysis. Data mining and performing EDAs using state-of-the-art methods. Selecting features, building and optimizing classifiers / regressors, etc. using machine learning & deep learning techniques. Help enhance data collection procedures to include information that is relevant for building analytical systems Doing ad-hoc analysis and presenting results in a clear manner. Follow and help improve with Analytics-Delivery procedures using detailed documentations. Create custom reports and presentations accompanied by strong data visualization and storytelling Present analytical conclusions to senior officials in a company and other stakeholders Your Profile Education Engineering graduates (B.E/ B.Tech)/ Other Graduates (Mathematics/ Statistics/ Operational Research/ Computer Science & Applications). Minimum 4 years relevant experience Experience in data management and visualization task Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, MLFlow, Tensorflow, Pytorch etc. Excellent understanding / hand-on experience in NLP and computer vision. Good understanding / hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc.). Knowledge/ Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost, H2O etc. Knowledge/ hand-on experience Exposure on large scale dataset and respective tool & framework like Hadoop, Pyspark, etc Knowledge/ hand-on experience on deployment of model in production & deployment. Hands on experience in GenAI. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. 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.

About this opportunity: We are seeking a highly skilled, hands-on AI Architect - GenAI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As an AI Architect, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions. What you will do: Architect and design AI and NLP solutions to address complex business challenges and support strategic decision-making. Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. Spearhead the integration of Generative AI techniques in production systems to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization. Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders. Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance. Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges. Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. Ensure that AI solutions are built with scalability, reliability, and compliance in mind. The skills you bring: Minimum of experience in AI, machine learning, or a similar role, with a proven track record of delivering AI-driven solutions. Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. Deep understanding and experience with distributed data processing using Spark. Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. Expertise in designing cloud-native architectures and microservices for AI/ML applications. Primary country and city: India (IN) || Kolkata Req ID: 770049

highly skilled and experienced Design and Development Engineer with a minimum of 5 years of relevant expertise in the design and development of industrial processing equipment and solutions for the cakes, pies, cookies, biscuits, crackers, and snacks industry. Responsibilities / Tasks We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. The ideal candidate will have a strong foundation in data analysis, statistical methods, and machine learning techniques. They will be responsible for transforming data into actionable insights to drive decision-making processes and improve business performance. Responsibilities Analyze large datasets to identify trends, patterns, and insights. Develop and implement machine learning models and algorithms. Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions. Present findings and recommendations to stakeholders through reports and visualizations. Ensure data integrity and accuracy by performing regular data validation and cleansing. Stay updated with the latest industry trends and advancements in data science and machine learning. Your Profile / Qualifications Bachelors or Master s degree in Data Science , Statistics, Computer Science, or related field. >5 years p roven experience as a Data Scientist or in a similar role. Strong proficiency in programming languages such as Python, SQL . Experience with data visualization tools like Tableau, Power BI, or Matplotlib. Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch , or scikit-learn. Excellent problem-solving skills and attention to detail. Strong communication skills and ability to convey complex information to non-technical stakeholders . Experience with big data technologies such as Hadoop, Spark, or cloud platform . Did we spark your interest? Then please click apply above to access our guided application process.

At 5X, we help companies organize their data and make it actionable. Founded by engineers who built data platforms at hypergrowth companies, we saw first-hand the complexity and fragmentation plaguing modern data stacks. That s why we created 5X an end-to-end data and AI platform that unifies data tooling, streamlines operations, and empowers teams to build with data without drowning in integrations and vendor sprawl. Responsibilities Understand and analyse clients business requirements to design and implement effective data solutions. Create and optimize data models to support client reporting and analytics needs. Proactively communicate with clients to provide project updates and address any issues or concerns. Comfortable to travel to meet customers in the US and go deeper on projects Provide mentorship and guidance to junior team members. Stay up-to-date with industry best practices and emerging technologies to continuously improve data engineering processes. Qualifications We are looking for people in Medellin, Colombia with Valid US Visa and 5+ years of experience in data science/analytics, with a proven track record of successfully delivering end-to-end data solutions. Skilled in statistical analysis, exploratory data analysis (EDA), and feature engineering to prepare data for model development. Experience in designing, developing, and deploying machine learning models into production environments. Proficient in supervised and unsupervised learning techniques, such as regression analysis, treebased models, and neural networks. Experience in working with ML modules such as scikit-learn, tensorflow Proficiency in SQL and Python for data manipulation and analysis. Experience in working with python modules such as pandas, numpy, matplotlib Strong understanding of business processes with a proven ability to collaborate with crossfunctional teams, identify pain points, and implement data-driven solutions. Experience with data warehouse platforms like Snowflake and Google BigQuery is highly desirable; familiarity with cloud platforms such as GCP and AWS is a plus. Experience with modern data stack tools (such as fivetran,dbt) Getting things done, knowing how to unblock yourself, communicating, and engaging with customers proactively with minimal supervision. About 5X We re a global, remote-first company building the platform we wish we had and today, it powers the data teams building what s next. At 5X, we combine deep technical expertise with a culture of ownership, creativity, and fun. Whether youre designing data pipelines or hosting team trivia, we believe in working hard, delivering exponential value, and enjoying the journey. Why work with us We prioritize Outsized Impact: Everything we do is centered around driving exponential value to our customers. Our customers find it impossible to think of a world outside of 5X. We are committed to Holistic Wellness: The 4 empires which determine our overall wellbeing are the mental, emotional, physical and spiritual empires. At 5X prioritize all 4. We wholeheartedly embrace remote work: If we can t build it from a hammock in Bali, we re doing something wrong. 5X fully embraces remote work. We trust you will find the right balance. Transparency is fundamental to us: We put everything on the table for everyone to see. This means that you have our permission to ask the tough questions and we will answer. We dont like playing political games. Togetherness is at the core of our culture: We work together to maximize our potential. We are there for each other and treat others as we expect to be treated. This is the 5X Family and we are better together! Offsite: 1 team offsite a year to incredible destinations.

Data Scientist - GTM Analytics At Thomson Reuters, we believe in the power of data to drive smarter decisions and we re looking for someone who shares that belief. As a Data Scientist - Digital Insights, you ll join a dynamic team that s shaping the future of go-to-market strategy through digital analytics, data science, and emerging AI technologies. This opportunity empowers you to work with the latest trends in technology from web traffic intelligence and data visualization to foundational applications of large language models (LLMs). You ll play a key role in transforming digital signals into actionable insights that influence business outcomes. We re proud to be recognized by Great Place to Work India as one of the country s top employers, celebrated for our inclusive culture, strong leadership, and commitment to employee growth. Join us and be part of a workplace where innovation and well-being go hand in hand. About the Role: In this role, you will: Analyze web traffic, user behavior, and campaign performance through Google Analytics Tags to generate actionable insights. Collaborate with marketing, product, and analytics teams to define KPIs and reporting frameworks. Build dashboards and visualizations using tools like Tableau or Power BI to communicate insights effectively. Apply basic data science techniques to uncover trends, segment audiences, and support predictive modeling. Stay current with developments in LLMs and generative AI and explore their application in digital analytics. Present findings to stakeholders using storytelling techniques and data-driven narratives. About You: 1-3 years of experience in digital analytics, data science, or a related field. Proficient in Google Analytics, and web tracking methodologies. Strong SQL and Python skills; experience with data wrangling and exploratory analysis. Familiarity with data visualization tools such as Tableau or Power BI. Exposure to machine learning concepts and basic model building. Understanding of LLMs (e.g., GPT, OpenAI) and prompt engineering is a plus. Experience working with marketing or Go to Market teams is highly desirable. Excellent communication and presentation skills with the ability to simplify complex data. Required Education & Skills: Bachelor s or master s degree in computer science, Data Science, Marketing Analytics, or a related quantitative field. Strong organizational and problem-solving skills. Adaptable, collaborative, and eager to learn in a fast-paced environment. Shift Timing - 12:00 PM - 9:00 PM Hybrid Work Model: Work from Office Twice a week #LI-SS3 What s in it For You Hybrid Work Model: We ve 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 tomorrow s 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 values: Obsess 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.

Forvia, a sustainable mobility technology leader We pioneer technology for mobility experience that matter to people. Your mission, roles and responsibilities The main missions of the role are: 3-5 years experience in AI Experience performing quantitative research with Computer vision, Machine learning, Deep learning and associated implementation of algorithms. Strong programming skills in Python and familiarity with other languages like R Experience data analysis techniques Working experience Pandas and other AI related libraries Strong understanding of Supervised, Unsupervised learning and Deep Learning algorithms Strong understanding of Azure DevOps and CI/CD pipeline creation for AI projects Experience in creating dashboards or webpage using Plotly Dash or similar tools Understanding of MLOps practices for deploying and maintaining ML models in production Experience in deploying Generative AI models Your profile and competencies to succeed Education : Degree or Master's degree in Computer Science/ Electronics/ Artificial Intelligence Skills & Attributes: Advanced English Fast learner and Problem solving High level of integrity, accountability and transparency International working mindset What we can do for you At Forvia, you will find an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies. We are the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries which makes a lot of opportunity for career development. We welcome energetic and agile people who can thrive in a fast-changing environment. People who share our strong values. Team players with a collaborative mindset and a passion to deliver high standards for our clients. Lifelong learners. High performers. Globally minded people who aspire to work in a transforming industry, where excellence, speed, and quality count. We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility. Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA University (five campuses around the world) We offer a multicultural environment that values diversity and international collaboration. We believe that diversity is a strength. To create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans. Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5°C. Three principles guide our action: use less, use better and use longer, with a focus on recyclability and circular economy. Why join us FORVIA is an automotive technology group at the heart of smarter and more sustainable mobility. We bring together expertise in electronics, clean mobility, lighting, interiors, seating, and lifecycle solutions to drive change in the automotive industry. With a history stretching back more than a century, we are the 7th largest global automotive supplier, employing more than 157,000 people in 43 countries. You'll find our technology in around 1 out of 2 vehicles produced anywhere in the world. In June 2022, we became the 1st global automotive group to be certified with the SBTI Net-Zero Standard. We have committed to reach CO2 Net Zero by no later than 2045. As technological innovation and the need for sustainability transform the automotive industry, we are ideally positioned to deliver solutions that will enhance the lives of road-users everywhere.

About the job Position: Assistant Manager/Manager Credit Risk What will your day look like - Leading a dynamic team to deliver high impact risk solutions across credit risk (underwriting, exposure controls and line management). - Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies - Manage challenging time constraints to ensure on-time delivery of projects. - Work closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation. - Analyze loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc. - Work closely with data science team and recommends credit risk decisioning and model deployment strategy. - Build a risk scorecard that leverages both internal performance data and external performance data that will be leveraged for credit decisioning at both underwriting and account management reviews for existing customers. - Collates analysis and builds presentations that helps articulate the risk strategy for the leadership team. To Help Us Level Up, You Will Ideally Have : - Quantitative background in engineering, statistics, math, economics, business, or related disciplines. - 5+ years experience in analyzing data and using database query language (e. SQL) analysis and programming and developer tools such as Python, R, data bricks in a finance or analytics field. - 2+ years of experience in leading high performing team of analysts. - Experience in working with non-traditional data such as social media will be a big plus. - Prior model building experience is a plus but not critical. - Possesses an analytical mindset and strong problem-solving skills. - Attention to detail and ability to multitask. - Comfortable working in a fast-paced environment and dealing with ambiguity. - Possesses strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams. - Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud related activities.

Job description We are looking for a passionate Senior Data Scientist Generative AI who thrives at the intersection of AI research & real-world applications. This role is ideal for someone whos eager to build, experiment & scale LLM-powered solutions in enterprise environments. This role blends hands-on Problem solving, Research, Engineering & collaboration across a multidisciplinary team, driving innovation across industries/domains Responsibilities: Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills: Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. AND/OR Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git. Must Have Skills • 3- 10 years of experience in Data Science - NLP, with at least 2 years in GenAI/LLMs Proficiency in Python, SQL & ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) Hands-on experience with GenAI tools like LangChain, LlamaIndex, RAG pipelines, Prompt Engineering & vector databases (e.g., FAISS, ChromaDB) Strong understanding of NLP technique,s including embeddings, topic modeling, text classification, semantic search, summarization, Q&A, chatbots, etc Experience with cloud platforms (GCP, AWS, or Azure) and CI/CD pipelines Experience integrating LLMs via Azure OpenAI, Google Vertex A,I or AWS Bedrock Ability to work independently & drive projects end-to-end from development to production Strong problem-solving, data storytelling & communication skills

We are seeking a Data Scientist with strong manufacturing domain knowledge to turn raw OT and IT data into actionable insights. You will explore data patterns, identify value drivers, and prototype use cases like yield improvement, quality prediction, or energy optimization. This role requires strong collaboration with plant engineers and digital product owners to ensure data science solutions are practical and measurable. Key job function 1)Analyze data from OT (sensors, PLCs, SCADA) and IT (MES, ERP) systems 2) Build models for predictive quality, maintenance, and process analytics 3) Prototype and test advanced analytics use cases in manufacturing settings 4) Work with engineers to validate results and co-develop improvements 5) Create compelling data stories and visuals for business impact using Power BI or Python 6) Partner with AI/ML specialists to prepare data and build training pipelines

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Data Scientist Location: Bangalore PURPOSE OF ROLE The Data Scientist will play a key role in designing and delivering data-driven solutions that enable better decision-making across the organization. This role requires strong hands-on coding skills in Python, experience with core data science libraries, and the ability to statistically validate features and models. The analyst will collaborate across teams, work efficiently with existing codebases, and apply version control and development best practices to build scalable, production-ready analytics solutions. With intermediate SQL expertise and a solid grasp of model development workflows, the role ensures robust, interpretable, and actionable outcomes from complex data. KEY TASKS AND ACCOUNTABILITIES Develop and maintain data science models using Python, applying intermediate to advanced knowledge of syntax, data structures, and key libraries such as pandas and numpy. Perform feature engineering and statistical validation of features and models to ensure robustness, accuracy, and business relevance. Write clean, modular, and well-documented code following best development practices; optionally adopt Test-Driven Development (TDD) to enable faster iteration and feedback cycles. Collaborate with cross-functional teams to understand data requirements, align on analytical solutions, and translate business problems into data science problems. Read, understand, and extend existing codebases , adapting quickly to different coding styles and project structures. Leverage version control tools like Git for collaborative development, code management, and maintaining reproducibility of models. Write and optimize intermediate-level SQL queries to extract, transform, and analyze data from structured databases. Contribute to the deployment readiness of models , ensuring outputs are interpretable, reusable, and aligned with production or decision-support use cases. Document processes, assumptions, and outputs clearly for stakeholder transparency, reproducibility, and future reference. Stay up to date with industry trends, new tools, and emerging best practices in data science, analytics, and development methodologies. Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems, Artificial Intelligence, Machine Learning, or a related field (B.Tech / BE / Masters in CS/IS/AI/ML). Work Experience: 3-7 years of hands-on experience in a data science or analytics role, with a proven track record of building and deploying data-driven solutions in real-world scenarios. Technical Skills Required: Python Programming (Intermediate to Advanced): Strong grasp of syntax, data structures, and experience with libraries like pandas and numpy. Data Science Fundamentals: Ability to statistically validate features and models, ensuring sound analytical rigor. SQL (Intermediate): Proficiency in writing queries to extract, manipulate, and analyze data from relational databases. Version Control (GIT): Familiarity with collaborative development using Git for code versioning and management. Code Adaptability: Comfortable working with and modifying existing codebases written by others. Good to have skills: Object-Oriented Programming (OOPs) in Python: Understanding and applying OOP concepts where appropriate. Test-Driven Development (TDD): Awareness of TDD practices for faster iteration and improved code quality. Model Deployment Lifecycle Knowledge: Familiarity with reproducibility, tracking, and maintaining deployed models (though not explicitly required, it’s a plus if known). We dream big to create a future with more cheers!

We are hiring for a leading AI-first unicorn in India seeking a curious and analytical Data Scientist with 1-5 years of experience. This is a high-impact role where you will work with massive datasets to uncover actionable insights, build predictive models, and directly influence product strategy and business decisions. If you are passionate about using data and machine learning to solve real-world problems, this is the perfect opportunity for you. What You'll Do (Your Responsibilities): Data Analysis: Analyze large, complex datasets to extract actionable insights that drive key business decisions in product, marketing, and operations. Machine Learning: Build, train, and deploy machine learning models to solve problems like forecasting, classification, customer segmentation, and recommendation. Experimentation: Design and conduct rigorous A/B tests and other experiments to evaluate product features and strategic initiatives. Storytelling with Data: Communicate complex findings and the "story" behind the data to both technical and non-technical stakeholders through clear visualizations and reports. Collaboration: Work cross-functionally with product, engineering, and business teams to identify opportunities for leveraging data. What We're Looking For (Your Qualifications): Experience: 1-5 years of hands-on experience in a data science or analytics role. Core Skills: Strong programming skills in Python and deep proficiency in data science libraries ( Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch ). SQL Mastery: Advanced proficiency in SQL for complex data extraction, transformation, and analysis. ML & Stats: Solid understanding of machine learning algorithms, statistical principles, and data modeling techniques. Data Visualization: Experience with data visualization tools like Tableau, Power BI, or Matplotlib/Seaborn. Business Acumen: The ability to translate business problems into data science problems and vice versa. Our Unique Application Process: To fast-track your application directly to hiring managers, we use a two-step process: Submit Your Resume: Apply here. AI-Powered Interview: You will be invited to a short, recorded video interview. This is your chance to showcase your skills and personality beyond your resume.

About the Role: Grade Level (for internal use): 11 The Team As a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP projectcustom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment toolsAirflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Masters or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelors) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

We are seeking a skilled and innovative Machine Learning Engineer with 4+ years of experience to join our AI/ML team. The ideal candidate will have strong expertise in Computer Vision , Generative AI (GenAI) , and Deep Learning , with a proven track record of deploying models in production environments using Python, MLOps best practices, and cloud platforms like Azure ML. Key Responsibilities: Design, develop, and deploy AI/ML models for Computer Vision and GenAI use cases Build, fine-tune, and evaluate deep learning architectures (CNNs, Transformers, Diffusion models, etc) Collaborate with product and engineering teams to integrate models into scalable pipelines and applications Manage the complete ML lifecycle using MLOps practices (versioning, CI/CD, monitoring, retraining) Develop reusable Python modules and maintain high-quality, production-grade ML code Work with Azure Machine Learning Services for training, inference, and model management Analyze large-scale datasets, extract insights, and prepare them for model training and validation Document technical designs, experiments, and decision-making processes Required Skills & Experience: 4 5 years of hands-on experience in Machine Learning and Deep Learning Strong experience in Computer Vision tasks such as object detection, image segmentation, OCR, etc Practical knowledge and implementation experience in Generative AI (LLMs, diffusion models, embeddings) Solid programming skills in Python , with experience using frameworks like PyTorch , TensorFlow , OpenCV , Transformers (HuggingFace) , etc Good understanding of MLOps concepts , model deployment, and lifecycle management Experience with cloud platforms , preferably Azure ML , for scalable model training and deployment Familiarity with data labeling tools, synthetic data generation, and model interpretability Strong problem-solving, debugging, and communication skills Good to Have: Experience with NLP , multimodal learning , or 3D computer vision Familiarity with containerization tools (Docker, Kubernetes) Experience in building end-to-end ML pipelines using MLflow, DVC, or similar tools Exposure to CI/CD pipelines for ML projects and working in agile development environments Education: bachelors or masters degree in Computer Science, Electrical Engineering, Data Science , or a related field

Join Innodatas global Data Science team as an LLM Research Data Scientist and drive innovation in Multimodal Large Language Models and Agentic Workflows. In this position, you’ll contribute across the full LLM lifecycle, from data collection and post-training to evaluation and benchmarking. Collaborate closely with our data engineering teams to translate data into client-facing insights. Enjoy the freedom to publish scientific work and contribute to open-source initiatives. Key Responsibilities Analyze existing workflows and data pipelines to extract insights, identify areas of improvement, and propose recommendations. Collaborate with internal teams and clients to operationalize findings. Specialize in one of the following focus areas: oData: Collection, curation, and synthetic data creation oModeling: Multimodal post-training and agentic workflow creation oEvaluation: LLM and Agent benchmarking and performance analysis What We Look For Strong communication and collaboration skills across technical and non-technical audiences Ability to work autonomously, self-motivated, ambitious Client-facing mindset: active listening, clear articulation of findings and recommendations Willingness to help upskill teammates in data science and generative AI fundamentals Qualifications Master’s degree in Data Science, Computer Science or a related field 10+ years of experience in data science and client-facing roles High proficiency with AI tools (e.g., Copilots, GenAI platforms) and applying them to complex real-world use cases Expert-level Python skills, with deep familiarity with LLM frameworks for data manipulation, post training and evaluation