2672 Data Scientist Jobs - Page 40

Role Overview: Youll lead efforts in developing, training, and deploying machine learning models with a focus on data processing and computer vision. Using your expertise in Python, OpenCV, and other advanced tools, you will work on complex data science projects and help us push the boundaries of AI technology. Data Modelling & Processi Leverage OpenCV and advanced computer vision techniques for tasks like image recognition, object detection, and OCR. Model Development: Design, build, and train machine learning models using deep learning frameworks such as TensorFlow, PyTorch, and Keras. Computer Vision Projects: Leverage OpenCV and advanced computer vision techniques for tasks like image recognition, object detection, and OCR. ML Algorithms & Frameworks: Implement ML algorithms and leverage frameworks for NLP, computer vision, and other AI projects. Testing & Experimentation: Conduct machine learning tests and experiments, refining models based on performance metrics. API Development: Utilize Flask or Django to create APIs for model integration with applications. Data Annotation & Augmentation: Apply data augmentation techniques for robust model performance, especially in image-based datasets. Collaboration & Reporting: Work closely with cross-functional teams and provide detailed insights on model performance and data metrics. Technical Skills Required: Programming Languages: Proficiency in Python, with strong skills in C/C++ for performance-based applications. ML Frameworks: Expertise in TensorFlow, PyTorch, and Keras. Libraries & Tools: Strong command of OpenCV, Numpy, Scikit-learn, and Matplotlib. Data Handling & Processing: Hands-on experience with data processing tools such as Pandas and SQL. Natural Language Processing (NLP): Experience with NLP techniques using libraries like NLTK. Web Scraping & Automation: Familiarity with Beautiful Soup for data extraction and Selenium for automation. Software Development Tools: Knowledge of Django, Flask, Jupyter Notebook, and Linux environments. Analytical Skills: Strong understanding of optimization techniques, regularization methods, and model architecture. Qualifications: Bachelors degree in Computer Science, Engineering, or a related field. 2-4 years of experience in data science, machine learning, and model development. Demonstrated expertise in computer vision and natural language processing. Strong problem-solving and communication skills for cross-functional collaboration. Why Join Us? Cutting-Edge Projects: Work on innovative AI and machine learning projects. Professional Growth: Access to training and career advancement. Dynamic Environment: Collaborate with a team passionate about data and technology.

Data Science (Python + Statistics.) Key Responsibilities Designing and Executing Rigorous Statistical Tests: This responsibility entails the foundational work of ensuring that any observed relationship between variables is not merely due to chance. The specialist will design experiments and tests to establish the likelihood that an outcome is genuinely caused by the factors under study, rather than random variability. Proactive involvement in experimental design is essential, moving beyond mere post-hoc analysis. Performing Hypothesis Testing and Statistical Inference: The specialist will be responsible for defining and testing null and alternative hypotheses to determine statistical significance. Applying Advanced Statistical Methods for Data and Model Analysis: This encompasses a broad range of techniques vital for deeply analyzing datasets and model outputs. These include probability theory, which quantifies uncertainty and aids in prediction. Various sampling methods (e.g., random, stratified, cluster) are crucial for selecting representative subsets of data, allowing for reliable inferences about larger populations. Evaluating and Recommending Appropriate ML Algorithms: The specialist will assess the suitability of various ML algorithms, including supervised learning tasks like classification, regression, and forecasting, as well as unsupervised learning methods such as clustering and dimensionality reduction, and reinforcement learning. Conducting In-depth Analysis of Algorithmic Soundness and Applicability: This involves scrutinizing the theoretical underpinnings of selected algorithms, their assumptions, and their appropriateness for the specific problem and dataset. Assessing Model Performance Metrics: The specialist will evaluate models based on a variety of metrics relevant to the task. For classification tasks, this includes accuracy, precision, recall, and F1- score; for regression, metrics such as Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) are used. Required Qualifications Masters in a quantitative field such as Computer Science, Data Science, Engineering Statistics, Mathematics, or Machine Learning. Experience Minimum of 5+ years of progressive experience in machine learning validation, model risk management, data science, or a closely related role with a strong focus on statistical rigor and algorithmic assessment. Proven track record in successfully validating and deploying AI/ML-based solutions to solve complex business Experience with SQL for querying and managing databases. Familiarity with C++ and/or Java for performance-critical applications or integration. The ability to work across different parts of the ML stack, from data querying to model deployment and potentially low-level optimization. Machine Learning Frameworks & Tools: Experience with common ML frameworks such as TensorFlow and PyTorch. Data Analysis & Statistical Tools: Proficiency in data analysis and statistical tools, including Python/R libraries like NumPy, SciPy, Pandas, Matplotlib, and Seaborn. Data Visualization Tools: Experience with data visualization software like Looker, Looker Studio to present findings effectively. Deep understanding of machine learning algorithms, their underlying principles, and performance metrics. Strong knowledge of statistical analysis, modeling techniques, and hypothesis testing. Familiarity with advanced statistical modeling techniques such as Bayesian Inference and Variational Inference, and their integration with AI models. The mention of these advanced techniques suggests a need for cutting-edge statistical knowledge that goes beyond traditional frequentist methods. This indicates a role that is expected to contribute to the advancement of validation methodologies, not just their application.

ABOUT TIDE At Tide, we are building a business management platform designed to save small businesses time and money. We provide our members with business accounts and related banking services, but also a comprehensive set of connected administrative solutions from invoicing to accounting. Launched in 2017, Tide is now used by over 1 million small businesses across the world and is available to UK, Indian and German SMEs. Headquartered in central London, with offices in Sofia, Hyderabad, Delhi, Berlin and Belgrade, Tide employs over 2,000 employees. Tide is rapidly growing, expanding into new products and markets and always looking for passionate and driven people. Join us in our mission to empower small businesses and help them save time and money. ABOUT THE ROLE As Staff Data Scientist for the business area you will work closely with the Business Team, Product Managers, Data Governance team, Analysts, Scientists and Data Engineers in order to deliver Company, Business, Product OKRs (Objectives and Key Results). You will also look into data initiatives that drive efficiency in the e2e (end to end) process, from data ingestion to insight generation including data science / machine learning models for decisioning. This role is an excellent opportunity for anyone who is interested in helping /building/embedding data initiatives into several products in a rapidly scaling environment. You will be able to influence our roadmap, learn about best practices and be able to quickly see the impact of your work. As a Staff Data Scientist you ll be: Develop and plan our roadmap for our domain analytics and data engineering & science team Run scrum ceremonies with our Product/Business team Triage requests, create the work breakdown structure and assign it to respective Engineers/Scientists Work with Engineers, Scientists and governance team to identify challenges they face and work with them to identify solutions to these problems Ensure stakeholders are updated and informed about changes in our domain specific data needs Build and track metrics for the performance of our Engineering & Science team. Feedback to Product and Business Teams Ability to deal with ambiguity and propose innovative solutions without getting blocked WHAT ARE WE LOOKING FOR You have 10+ years of experience in Software development or Machine Learning. With 4+ years of product management experience and at least 2 years as a Product Owner embedding data initiatives into products especially Data Science and Machine Learning You can prioritise ML Data Science and Machine Learning product roadmaps for the respective businesses based on OKRs and priorities You have a deep understanding of managing technical products with a background in data You have a high level understanding with big-data technologies such as Spark, SparkML, Hadoop etc. Strong knowledge of Cloud (AWS or other) You ve delivered on fast-growing product-focused company before as a Data Manager or Data Lead or Data Program manager (products where the customer is retail or small business - as opposed to internal-facing tools) You re organised, pragmatic and capable of engaging, guiding and leading cross functional teams or managing large scale enterprise products. You have technical knowledge and experience and have strong empathy for developer audience You re a self-starter who can work comfortably in a fast-moving company where priorities can change and processes may need to be created from scratch with minimal guidance. You have significant experience working with varied stakeholders You have good technical knowledge in SQL, strong in Python programming You have a good understanding on how the performance optimization works in the end to end data pipeline including ML/DS inferencing You have excellent leadership skills - you have managed a team of data scientists before and coached them to become better versions of themselves OUR TECH STACK (You don t have to excel in all, but willing to learn them): Databricks on AWS Python Snowflake Tecton - feature store Fiddler - model observability platform WHAT YOU WILL GET IN RETURN Make work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you ll get: Competitive salary Self & Family Health Insurance Term & Life Insurance OPD Benefits Mental wellbeing through Plumm Learning & Development Budget WFH Setup allowance 15 days of Privilege leaves 12 days of Casual leaves 12 days of Sick leaves 3 paid days off for volunteering or L&D activities Stock Options TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members diverse needs. We are One Team, committed to transparency and ensuring everyone s voice is heard. You personal data will be processed by Tide for recruitment purposes and in accordance with Tides Recruitment Privacy Notice .

Job Title: Data Scientist Job Description : We are seeking Data Scientist for our team in Bangalore. As a Data Scientist your responsibility will be to build & deploy end-to-end Data Science and AI/ML solutions. Must Have Technical Skills : Data Science & ML Model Development : Design, develop, and deploy Machine Learning , AI and statistical models using Python, PyTorch, R and TensorFlow. AI & Gen AI Use Cases : Working knowledge of Generative AI and Large Language Model (LLM) technologies on public cloud platforms, utilizing RAG patterns Data Exploration & Feature Engineering : Conduct exploratory data analysis and prepare datasets using advanced feature engineering techniques. End-to-End ML Pipeline Implementation : Collaborate with engineering teams to develop scalable ML pipelines and workflows. Cloud & Platform Integration : Used cloud-native services on AWS like TensorFlow, Bedrock etc along with Dataiku/Databricks/Snowflake, will be added advantage. Model Evaluation & Optimization : Evaluate model performance using appropriate metrics and continuously optimize them. Stakeholder Collaboration : Translate business problems into data science use cases and present insights to technical and non-technical stakeholders. Working Knowledge : Good to have an experience of AIML platforms like Dataiku/ Databricks/Snowflake and Cloude services like AWS/Azure/GCP. Responsibilities Responsible for the design, development, and maintenance of applications and systems, as well as managing the technical infrastructure in the production environment. Develop and implement advanced machine learning and deep learning models to automate and transform business processes. Create and apply data science models to generate strategic insights, build predictive models, and deploy solutions that align with current industry standards. Leverage generative AI models to create synthetic financial data, simulate market scenarios, generate investment ideas, automate post-trade processes, and enhance interactions with stakeholders. Work closely with both technical and business teams to solve complex challenges and perform client demos. Experience Level : 3 to 5 years in Data Science, AI/ML project implementation. Educational Background : Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Good To Have: Understanding of CI/CD tools for ML model deployment. Understanding of data governance, data security, and compliance frameworks. Knowledge of visualization tools like Power BI, Tableau, or Plotly.

Company Overview At Codvo, software and people transformations go hand-in-hand. We are a global empathyled technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results. Required Skills (Technical) Advanced knowledge of statistical techniques, NLP, machine learning algorithms and deep learning frameworks like TensorFlow, Theano, Kera’s, Pytorch. Proficiency with modern statistical modelling (regression, boosting trees, random forests, etc.), machine learning (text mining, neural network, NLP, etc.), optimization (linear optimization, nonlinear optimization, stochastic optimization, etc.) methodologies. Building complex predictive models using ML and DL techniques with production quality code and jointly own complex data science workflows with the Data Engineering team. Familiarity with modern data analytics architecture and data engineering technologies (SQL and No-SQL databases). Knowledge of REST APIs and Web Services Experience with Python, R, sh/bash Required Skills (Non-Technical) Fluent in English Communication (Spoken and verbal) Should be a team player Should have a learning aptitude Detail-oriented, analytically. Extremely organized with strong time-management skills Problem Solving & Critical Thinking Skills:- Natural Language Processing (NLP), Computer Vision and recommendation algorithm

Job Role: As a Senior Data Scientist, you will be responsible for designing, developing and productionizing of ML-driven solutions to business problems. You will work closely with local and onshore team of data scientists and stakeholders to understand their needs and pain points, and then translate those into actionable data science projects. Your primary focus will be statistical data analyses and helping build high-quality predictive models integrated with our products. The ideal candidate is an experienced data wrangler with a deep understanding of data science principles and a proven track record of delivering ML-driven solutions. S/he will effectively communicate complex technical concepts to technical and non-technical audiences. Key Responsibilities: Plan, productionize, and document scalable Data Science solutions Understand the business problem from stakeholders and convert it to actionable tasks Driven to create in-depth Exploratory Data Analysis and Feature Engineering; experienced with ML Ops Adept at standard and latest ML algorithms and Model explainability. Knowledge about causal inference is a great to-have Help mentor and guide Data Scientists Qualifications - Internal Key Requirements: Experience : At least 8 years of relevant experience Education: Bachelors or masters degree in computer science or mathematics, Statistics or a related field. PhD with lesser experience is welcome. Required Skills: Proficient in ML models across supervised and unsupervised learning, along with knowledge of Deep Learning models using TensorFlow / PyTorch Experienced in Natural Language Processing with focus on Transformer models Experienced in using Generative AI. At least one project implementation is expected Knowledge in MLOps is recommended Extensive coding experience in Python (and R) as well as scripting in SQL Visualization of outputs, using Tableau/ Power BI/ Streamlit, along with crisp communication Strong ability to assess the business problem and suggest applicable data science solutions Great at presenting and explaining model results to any kind of audience Personal Attributes: Ability to adapt and work with a distributed team Ability to manage multiple initiatives Ability to work with ambiguous requirements, seek clarity and manage risks. Ability to communicate complex concepts in a simple yet intelligent way

Job Description We are looking f or a Data Scienti st-II to join our Data Science & Analytics (DSA) Team. You will get to work with other data scientists, analysts, data engineers, PMs and business teams on some of the toughest and most interesting problems in our industry. Our work spans across areas of inventory forecasting, order predictions, marketing spend optimization, delivery time prediction, personalization, customer insighting, product recommendations, supply chain planning, capacity optimization, and more. The role will involve understanding business problems, designing relevant ML solutions, building & deploying new models, maintaining & enhancing existing models, and automating performance measurement of the same. We are looking for someone who is excited to work in a fast-growing industry, has a spirit of ownership & collaboration, and loves seeing the impact of what they have built at scale! What our team owns At Rebel, the Data Science & Analytics team builds and maintains all ML models, rule-based intelligence, automated reports and dashboards used by the organization. We are on a mission to drive business impact via ML and Data Science and grow adoption of these areas at Rebel. We also want to enable the organization to better understand and effectively use ML and DS. We interact with teams across every business area such as Supply, Operations, Demand Generation, D2C, Finance, Brands, Customer Delight, Central Planning and many more. We are never short of interesting challenges and we balance delivering continuous impact and great CX, while building strong foundations to drive sustainable ML returns overtime. Specific Qualifications Strong working knowledge of a variety of machine learning techniques (Regression, Classification,Clustering, Decision Tree, Probability Networks, Neural Networks, Bayesian models etc.) Proficient in Python, SQL, and machine learning libraries (e.g., TensorFlow, scikit-learn). Experience in working with varied data types (structured and unstructured) and databases Experience with Machine Learning and related technologies such as Python, Tensorflow, Amazon SageMaker Excellent problem-solving skills with a demonstrated ability to think analytically and strategically. Good-to-have Experience solving NLP-based problems or working with LLMs / prompt engineering Working with non-tech stakeholders and explaining ML performance in simple language A love of food (Yes, we have regular tasting sessions at office!)

Country/Region: IN Requisition ID: 26870 Work Model: Position Type: Salary Range: Location: INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI Title: Data Scientist Description: Area(s) of responsibility Key Responsibilities: Design, develop, extend and maintain end-to-end data workflows and pipelines in Dataiku DSS. Collaborate with data scientists and analysts to operationalize machine learning models. Leverage Generative AI models and tools within Dataiku to build advanced AI-powered applications and analytics solutions. Integrate Dataiku with various data sources (databases, cloud storage, APIs). Develop and optimize SQL queries and Python/R scripts for data extraction and transformation across relational and NoSQL databases Work extensively with cloud data warehouses like Amazon Redshift and/or Snowflake for data ingestion, transformation, and analytics. Implement automation and scheduling of data workflows. Monitor and troubleshoot data pipelines to ensure data quality and reliability. Document technical solutions and best practices for data processing and analytics.

Admini Boosting Productivity 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

Tellius enables organizations to get faster insights and act upon cloud-scale enterprise data using AI-powered automation. Any user can ask any question across billions of records via a ChatGPT-like interface, understand why metrics change via AI insights that surface hidden key drivers and trends, and leverage agentic flows to perform complex multipart analysis easily in a self-service manner. Unlike traditional BI tools, Tellius excels at ad hoc analysis, deep dives, and business-friendly advanced analytics. We are growing our data science team and looking for a passionate individual who can bridge the gap between business problems and data solutions. Key Responsibilities Own the end-to-end problem-solving lifecycle: from understanding the business challenge to delivering actionable insights. Collaborate with clients and internal stakeholders to gather and define business requirements. Analyze large and complex datasets using SQL and Python to uncover trends and patterns. Build interactive dashboards and visualizations using Tellius to communicate insights effectively. Translate ambiguous business problems into well-structured data science tasks. Partner closely with cross-functional teams including engineering, product, and business. Present results and recommendations clearly and confidently to both technical and non-technical audiences. Stay updated with the latest trends in data science, analytics, and visualization. Must-Have Skills 3+ years of experience in Data Science or a related field. Strong proficiency in SQL for data querying and transformation. Hands-on experience with Python (pandas, numpy, matplotlib, etc) for data analysis and scripting. Hands-on experience with machine learning ( logistic regression, decision tree, random forest, etc). Experience creating interactive dashboards in analytics tools (Power BI, Looker, Tableau) . Proven ability to act as a business analyst and translate business problems into data solutions. Excellent communication and stakeholder management skills. Good to Have Exposure to machine learning (ML) and AI techniques . Familiarity with cloud platforms (AWS, Azure, or GCP). Experience working in a product-based or analytics SaaS company. Who You Are You re curious and analytical by nature. You enjoy solving real business problems with data. You re not just technical you re also a storyteller with data. You thrive in a fast-paced, collaborative environment. Why Join Us? Be part of a rapidly growing team building next-gen analytics products. Work on impactful projects with real business outcomes. Collaborate with a world-class team of engineers, data scientists, and business leaders. Flexible work culture and opportunities for learning and growth.

Tech Lead - Machine Learning, Data Scientist Senior Data Scientist Generative AI Senior Data Scientist Generative AI Location: Mumbai (Work from Office, with flexibility on need basis) Employment Type: Full-Time Experience: 4 5 Years Reports To: Director Machine Learning and Gen AI About the Role: We are looking for a hands-on and solution-oriented Senior Data Scientist Generative AI to join our growing AI practice. This role is ideal for someone who thrives in designing and deploying Gen AI solutions on AWS, enjoys working with customers directly, and can lead end-to-end implementations. You will play a key role in architecting AI solutions, driving project delivery, and guiding junior team members. Key Responsibilities: - Design and implement end-to-end Generative AI solutions for customers on AWS. - Work closely with customers to understand business challenges and translate them into Gen AI use-cases. - Own technical delivery, including data preparation, model integration, prompt engineering, deployment, and performance monitoring. - Lead project execution ensure timelines, manage stakeholder communications, and collaborate across internal teams. - Provide technical guidance and mentorship to junior data scientists and engineers. - Develop reusable components and reference architectures to accelerate delivery. - Stay updated with latest developments in Gen AI, particularly AWS offerings like Bedrock, SageMaker, LangChain integrations, etc. Required Skills & Experience: - 4 5 years of hands-on experience in Data Science/AI/ML, with at least 1 2 years in Generative AI projects. - Proficient in building solutions using AWS AI/ML services (e.g., SageMaker, Amazon Bedrock, Lambda, API Gateway, S3, etc.). - Experience with LLMs, prompt engineering, RAG pipelines, and deployment best practices. - Solid programming experience in Python, with exposure to libraries such as Hugging Face, LangChain, etc. - Strong problem-solving skills and the ability to work independently in customer-facing roles. - Experience in collaborating with Systems Integrators (SIs) or working with startups in India is a major plus. Soft Skills: - Strong verbal and written communication for effective customer engagement. - Ability to lead discussions, manage project milestones, and coordinate across stakeholders. - Team-oriented with a proactive attitude and strong ownership mindset. What We Offer: - Opportunity to work on cutting-edge Generative AI projects across industries. - Collaborative, startup-like work environment with flexibility and ownership. - Exposure to full-stack AI/ML project lifecycle and client-facing roles. - Competitive compensation and learning opportunities in the AWS AI ecosystem. About Oneture Technologies Founded in 2016, Oneture is a cloud-first, full-service digital solutions company, helping clients harness the power of Digital Technologies and Data to drive transformations and turning ideas into business realities. Our team is full of curious, full-stack, innovative thought leaders who are dedicated to providing outstanding customer experiences and building authentic relationships. We are compelled by our core values to drive transformational results from Ideas to Reality for clients across all company sizes, geographies, and industries. Oneture team delivers full lifecycle solutions from ideation, project inception, planning through deployment to ongoing support and maintenance. Our core competencies and technical expertise includes Cloud powered: Product Engineering, Big Data and AI ML. Our deep commitment to value creation for our clients and partners and Startups-like agility with Enterprises-like maturity philosophy has helped us establish long-term relationships with our clients and enabled us to build and manage mission-critical platforms for them.

Data Scientist Full-time Company Description About Sopra Steria Sopra Steria, a major Tech player in Europe with 50,000 employees in nearly 30 countries, is recognised for its consulting, digital services and solutions. It helps its clients drive their digital transformation and obtain tangible and sustainable benefits. The Group provides end-to-end solutions to make large companies and organisations more competitive by combining in-depth knowledge of a wide range of business sectors and innovative technologies with a collaborative approach. Sopra Steria places people at the heart of everything it does and is committed to putting digital to work for its clients in order to build a positive future for all. In 2024, the Group generated revenues of €5.8 billion. The world is how we shape it. Job Description Data Scientist : Robust knowledge of machine learning model development , including strong familiarity with classical ML techniques, both supervised and unsupervised approaches. Proficiency in Python , with a solid understanding of key data science packages such as scikit-learn, pandas, NumPy, xgboost, LightGBM, and nltk. Strong knowledge of SQL , ideally with experience in Snowflake’s SQL flavour. Familiarity with agile methodologies . Knowledge of version control and git-based workflows . Experience with Spark , particularly PySpark. Familiarity with cloud-based environments , with a focus on AWS, especially SageMaker. Total Experience Expected: 08-10 years Qualifications Professional Degree with Data Science experience Additional Information At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences. All of our positions are open to people with disabilities.

About the Team Our Data Science team is the Avengers to Meeshos S.H.I.E.L.D ???. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. Weve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.?? You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. But wait theres more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting Summer of 69 at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ?? About the Role Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers. What you will do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organisational metrics Mentor junior data scientists in the team What you will need Bachelor's/Master's degree in computer science (or similar degrees) 4-7 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning etc. Familiarity with tools like SQL, R, Python, etc. Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: Experience in working on personalization or other ML problems Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift

Join our Team About this opportunity: Welcome to an exciting opportunity at Ericsson, where you'll be stepping into the role of a Data Scientist. As part of our team, you'll have the opportunity to develop unique machine learning solutions that address complex business issues. You'll employ scientific methods, processes, and systems to reveal valuable insights and pave the way for the future of applied analytics. Direct your prowess in machine learning towards formulating innovative AI/ML solutions that are consistent with Ericsson's architectural and coding standards. What you will do: Implement technical requirements by analyzing and optimizing their needs while managing any constraints effectively. Build predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning models, and other machine learning systems. Proficiency in machine learning concepts and programming languages such as Python, Pyspark, SQL, amongst others. Develop solutions using on-premise and cloud-based machine learning. Collaborate with business leaders and decision-making personnel to define success metrics and originate ML solutions that fit the bill. Mentor emerging data scientists and foster a community of machine learning enthusiasts within Ericsson. The skills you bring: DevSecOps. Business Understanding. Artificial Intelligence Systems. Software Engineering. Data Management. Ericsson Business Intelligence and Analytics Competence. Open-Source Programming Languages. Data Preprocessing. Statistics. Cloud Development. Machine Learning Algorithms. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Noida Req ID: 768224

Data Scientist III Data Science 1 About Junglee Games: With over 140 million users, Junglee Games is a leader in the online skill gaming space. Founded in San Francisco in 2012 and part of the Flutter Entertainment Group, we are revolutionizing how people play games. Our notable games include Howzat, Junglee Rummy, and Junglee Poker. Our team comprises over 1000 talented individuals who have worked on internationally acclaimed AAA titles like Transformers and Star Wars: The Old Republic and contributed to Hollywood hits such as Avatar. Junglee s mission is to build entertainment for millions of people around the world and connect them through games. Junglee Games is not just a gaming company but a blend of innovation, data science, cutting-edge tech, and, most importantly, a values-driven culture that is creating the next set of conscious leaders. Job overview: As our Data Scientist III, you will be a key driver of strategic and tactical data science projects. You ll partner closely with Product, Marketing, and Engineering teams to influence decisions and optimize outcomes using data, models, and experimentation. Job Location: Gurgaon Key Responsibilities: Lead complex analytics projects end-to-end: problem scoping, data wrangling, modeling, validation, and communication. Develop and deploy statistical models and machine learning solutions to improve core metrics (e. g. , retention, monetization, user segmentation, etc. ). Own experimentation and causal inference for product features (A/B testing, uplift modeling, etc. ). Translate business problems into quantitative solutions and drive product and marketing roadmap with data insights. Collaborate with Data Engineering to design scalable data pipelines and ML deployment workflows. Qualifications & skills required: 5 7 years of experience in data science, preferably in B2C, gaming, consumer tech, or related industries. Strong foundation in statistics, probability, and machine learning (classification, regression, clustering, time-series, etc. ). Hands-on experience with Python/R and SQL. Experience with tools like Airflow, Spark, DBT, or similar is a plus. Experience designing and analyzing experiments (A/B testing, DoE). Strong problem-solving mindset with a focus on impact and ownership. Excellent communication skills; ability to simplify complex findings for non-technical stakeholders. Be a part of Junglee Games to: Value Customers & Data - Prioritize customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes. Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success. Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic. Embrace change - Change drives progress and our strength lies in adapting swiftly and recognizing when to evolve to stay ahead. Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving. Avail a comprehensive benefits package that includes paid gift coupons, fitness plans, gadget allowances, fuel costs, family healthcare, and much more. Know more about us Explore the world of Junglee Games through our website, www. jungleegames. com . Get a glimpse of what Life at Junglee Games looks like on LinkedIn . Here is a quick snippet of the Junglee Games Offsite 24 Liked what you saw so far Be A Junglee

Area(s) of responsibility Key Responsibilities Design, develop, extend and maintain end-to-end data workflows and pipelines in Dataiku DSS. Collaborate with data scientists and analysts to operationalize machine learning models. Leverage Generative AI models and tools within Dataiku to build advanced AI-powered applications and analytics solutions. Integrate Dataiku with various data sources (databases, cloud storage, APIs). Develop and optimize SQL queries and Python/R scripts for data extraction and transformation across relational and NoSQL databases Work extensively with cloud data warehouses like Amazon Redshift and/or Snowflake for data ingestion, transformation, and analytics. Implement automation and scheduling of data workflows. Monitor and troubleshoot data pipelines to ensure data quality and reliability. Document technical solutions and best practices for data processing and analytics.

Job description We are having a F2F weekend drive for the requirement of a Data Scientist + Gen AI at our LTIM Hyderabad office. Date - 5th July 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 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen.

- Extract, clean, and model large datasets (SQL + Python) and translate findings into clear narratives for VP/C-level reviews. - Design and maintain Tableau/Power BI dashboards used by 100+ internal users. - A/B Testing Required Candidate profile Bachelor’s degree (Master’s preferred). Relevant experience Proficiency in Python, and SQL. Solid knowledge of machine learning algorithms, statistics, and predictive modeling.

3+ years of Data science exp understanding of machine learning. understanding of SQL & Python.Power BI or Tableau Industry specific (CPG, Manufacturing) use cases is required fine-tuning Large Language Models (LLMs), (Llama, GPT, BERT, etc.).

Company Description About Sopra Steria Sopra Steria, a major Tech player in Europe with 50,000 employees in nearly 30 countries, is recognised for its consulting, digital services and solutions. It helps its clients drive their digital transformation and obtain tangible and sustainable benefits. The Group provides end-to-end solutions to make large companies and organisations more competitive by combining in-depth knowledge of a wide range of business sectors and innovative technologies with a collaborative approach. Sopra Steria places people at the heart of everything it does and is committed to putting digital to work for its clients in order to build a positive future for all. In 2024, the Group generated revenues of €5.8 billion. The world is how we shape it. Job Description Data Scientist : Robust knowledge of machine learning model development , including strong familiarity with classical ML techniques, both supervised and unsupervised approaches. Proficiency in Python , with a solid understanding of key data science packages such as scikit-learn, pandas, NumPy, xgboost, LightGBM, and nltk. Strong knowledge of SQL , ideally with experience in Snowflake’s SQL flavour. Familiarity with agile methodologies . Knowledge of version control and git-based workflows . Experience with Spark , particularly PySpark. Familiarity with cloud-based environments , with a focus on AWS, especially SageMaker. Total Experience Expected: 08-10 years Qualifications Professional Degree with Data Science experience Additional Information At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences. All of our positions are open to people with disabilities.

We are looking for qualified people who can develop scalable solutions to complex real-world problems using AI/ML, Big Data, Statistics, Econometrics, and Optimization. Potential candidates should have excellent depth and breadth of knowledge in machine learning, data mining, and statistical modeling. They 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. Minimum Qualifications Bachelor’s degree in Analytics, Computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 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 PowerBI. 1+ years' experience in SQL programming language and relational databases. Preferred Qualifications An MS/PhD in Analytics, Computer Science, Operational research, Statistics, Applied mathematics or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Gemini, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and AI/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

Job Description We are looking for qualified people who can develop scalable solutions to complex real-world problems using AI/ML, Big Data, Statistics, Econometrics, and Optimization. Potential candidates should have excellent depth and breadth of knowledge in machine learning, data mining, and statistical modeling. They 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. Responsibilities Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and AI/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 Qualifications Minimum Qualifications Bachelor’s degree in Analytics, Computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 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 PowerBI. 1+ years' experience in SQL programming language and relational databases. Preferred Qualifications An MS/PhD in Analytics, Computer Science, Operational research, Statistics, Applied mathematics or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Gemini, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills

Company Description Beltech AI develops AI-driven solutions for smart traffic management, urban planning, and related sectors. We use computer vision , data analytics , and machine learning algorithms to create intelligent systems that can monitor, manage, and analyze traffic conditions in real-time. Role Description This is a full-time on-site Data Scientist role located in Bengaluru. The Data Scientist will be responsible for tasks such as data science, statistics, data analytics, creating algorithims to support the development of AI-driven solutions for smart infrastructure. Who We Are Looking For At Beltech AI, we value growth trajectory and impact over years of experience . Join us if you: Are driven by solving challenging, real-world problems—not just job titles. Thrive as a generalist eager to take on high-stakes, meaningful work. Are passionate about learning and pushing boundaries, with something exceptional to show for it. Understand how to make smart trade-offs and believe that speed and quality can go hand in hand. Are a strong team player who believes in fostering collective growth through empathy and collaboration Qualifications Data Science and Statistics skills Data Analytics, Data Visualization, and Data Analysis skills Experience in working with large datasets Proficiency in programming languages like Python or R Strong analytical and problem-solving skills Ability to work collaboratively in a team environment Bachelor degree or higher in Data Science, Maths, Computer Science, Statistics, or related field from Tier 1 Colleges ( IIT,NIT,IIIT)

About the Role Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers. What you will do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organisational metrics Mentor junior data scientists in the team What you will need Bachelor's/Master's degree in computer science (or similar degrees) 2-4 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning, etc Familiarity with tools like SQL, R, Python, etc Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: Experience in working on personalization or other ML problems Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift

We are seeking an experienced and highly motivated Data Scientist with a strong background in backend development and AI/ML engineering. The ideal candidate will have solid experience in building, deploying, and scaling machine learning solutions using Python and modern ML frameworks. Key Responsibilities: Design, develop, and deploy machine learning models, including advanced architectures such as Large Language Models (LLMs). Collaborate with cross-functional teams to build scalable AI-driven solutions using robust software engineering principles. Leverage Python and object-oriented programming techniques to create efficient, maintainable, and production-grade ML pipelines. Work with popular machine learning frameworks such as TensorFlow , PyTorch , and Scikit-learn for model development and experimentation. Integrate AI/ML models into applications using RESTful APIs and ensure performance, scalability, and reliability. Utilize tools such as Hugging Face , LangChain , and OpenAI APIs to build and fine-tune NLP and generative AI models. Implement and manage containerized services using Docker , enabling smooth deployment and reproducibility of ML solutions. Apply best practices in version control (Git) and software development lifecycles to support collaborative and agile workflows. Design, develop, and maintain relational databases (e.g., MySQL , PostgreSQL , Oracle ) to support data-driven applications. Contribute to the design and implementation of microservices-based architectures for AI/ML systems. Understand and apply agent communication protocols and multi-agent system design (e.g., MCP) where relevant to AI applications. Analyze large datasets, derive actionable insights, and drive continuous model improvements. Required Skills and Qualifications: 4+ years of experience in data science, machine learning, or backend development roles. Proficiency in Python and strong foundations in object-oriented programming . Hands-on experience with machine learning model lifecycle — from training to production deployment and monitoring. Familiarity with scalable system design and microservices architecture. Excellent problem-solving skills, attention to detail, and a strong understanding of data structures and algorithms. Effective communication and collaboration skills, with the ability to work in a dynamic team environment. Preferred Qualifications: Generative AI Expertise: Practical experience and in-depth knowledge of Generative AI technologies, including Large Language Models (LLMs) such as GPT, LLaMA, and their real-world applications. Prompt Engineering & Model Optimization: Proficiency in prompt engineering, fine-tuning LLMs, and evaluating the performance and effectiveness of AI/ML models. AI System Architecture: Familiarity with orchestration frameworks and agent-based system architectures for building modular and intelligent AI solutions. Advanced AI Tooling: Experience working with and integrating state-of-the-art AI tools, platforms, and APIs into scalable systems. Innovation Mindset: Demonstrated ability to creatively apply AI/ML — including Generative AI and LLMs — to solve complex problems and deliver business value, especially in the payment technology or fintech domains. Cross-Functional Collaboration: Strong communication skills with a proven track record of working effectively in cross-disciplinary teams, including product, engineering, and data stakeholders. Responsible AI Practices: Knowledge of ethical AI principles, including model interpretability, fairness, responsible AI deployment, and ongoing model monitoring.