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2.0 - 5.0 years
15 - 25 Lacs
Mumbai Suburban, Mumbai (All Areas)
Work from Office
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!)
Posted 1 week ago
0 years
0 Lacs
Hinjawadi, Pune, Maharashtra
On-site
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.
Posted 1 week ago
2.0 - 5.0 years
25 - 30 Lacs
Siliguri
Work from Office
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
Posted 1 week ago
3.0 - 8.0 years
25 - 30 Lacs
Bengaluru
Work from Office
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.
Posted 1 week ago
5.0 - 10.0 years
4 - 5 Lacs
Mumbai, Pune
Work from Office
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.
Posted 1 week ago
8.0 - 10.0 years
0 Lacs
Chennai, Tamil Nadu
On-site
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.
Posted 1 week ago
4.0 - 7.0 years
15 - 30 Lacs
Bengaluru
Work from Office
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
Posted 1 week ago
0 years
0 Lacs
Noida, Uttar Pradesh
On-site
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
Posted 1 week ago
2.0 - 3.0 years
4 - 5 Lacs
Gurugram
Work from Office
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
Posted 1 week ago
0 years
0 Lacs
Mulshi, Maharashtra, India
On-site
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.
Posted 1 week ago
6.0 - 11.0 years
15 - 30 Lacs
Hyderabad
Hybrid
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.
Posted 1 week ago
2.0 - 5.0 years
30 - 35 Lacs
Hyderabad
Remote
- 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.
Posted 1 week ago
3.0 - 7.0 years
9 - 18 Lacs
Noida, Kolkata, Bengaluru
Work from Office
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.).
Posted 1 week ago
8.0 - 10.0 years
9 Lacs
Chennai
On-site
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.
Posted 1 week ago
2.0 years
3 - 9 Lacs
Chennai
On-site
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
Posted 1 week ago
2.0 years
0 Lacs
Chennai, Tamil Nadu, India
On-site
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
Posted 1 week ago
0 years
0 Lacs
Bengaluru, Karnataka, India
On-site
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)
Posted 1 week ago
2.0 - 4.0 years
15 - 30 Lacs
Bengaluru
Work from Office
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
Posted 1 week ago
4.0 years
0 Lacs
Bengaluru, Karnataka, India
On-site
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.
Posted 1 week ago
10.0 years
0 Lacs
Bengaluru, Karnataka, India
On-site
Company Description HCL Software is a division of HCL Technologies (HCL) that operates its primary software business. It develops, markets, sells, and supports over 20 product families in the areas of Customer Experience, Digital Solutions, Security & Automation and DevOps. Its mission is to drive ultimate customer success with their IT investments through relentless innovation of its products. As Data Scientist/Researchers you will be responsible for leveraging the established architecture disciplines to help ensure that business strategies align with powerful capabilities of AI/ML to achieve business objectives consistently and cost effectively. We are looking for experience of 10 to 15 years only. Please apply only if you match the experience level Location- Bangalore and Noida. Please share CV to monica_sharma@hcl-software.com with the below details: Total Experience- Current CTC- Expected CTC- Notice Period- Main Responsibilities Propose solutions and strategies to tackle business challenges in AI/ML product Operationalizing and architecting ML/AI solutions Qualifications, Education and Experience: Phd, Masters or Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, Mathematics with at least 10+ years in ML/AI Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains. Proven ability to rationalize disparate data sources and the ability to intuit the large picture within a dataset Experience in solving client's analytics problems and effectively communicating results and methodologies Software development skills in one or more scripting language preferably python, and common ML tools (Weka, R, RapidMiner, KNIME, scikit, AzureML, Sagemaker, ModelBuilder etc.) Familiarity with ML tools and packages like OpenNLP, Caffe, TensorFlow etc. Knowledge of MLOps pipeline Knowledge of machine learning and data mining techniques in one or more areas of statistical modeling methods Anomaly detection Regression, classification, clustering Deep learning Survival analysis Similarity and recommendation Forecasting Strong oral and written communication skills, including presentation skills Strong problem solving and troubleshooting skills
Posted 1 week ago
7.0 - 10.0 years
18 - 25 Lacs
Hyderabad, Pune, Bengaluru
Hybrid
As an AI/ML Consultant, you will be responsible for designing and overseeing the architecture of AI and machine learning solutions. You will work closely with data scientists, engineers, and business stakeholders to ensure that our AI/ML initiatives are scalable, robust, and aligned with business objectives. Your expertise in machine learning, deep learning, natural language processing (NLP), and generative AI will be crucial in guiding the development and deployment of advanced AI solutions. Responsibilities: Design and architect end-to-end AI/ML solutions that meet business requirements and technical specifications. Develop and implement scalable machine learning and deep learning models, ensuring they integrate seamlessly into existing systems. Create architectures for NLP applications, including text processing, sentiment analysis, named entity recognition, and language modelling. Leverage generative AI and large language models (LLMs) to develop innovative applications. Collaborate with data engineers to design data pipelines and ensure data quality and accessibility. Provide technical leadership and guidance to data scientists and engineers throughout the development lifecycle. Evaluate and select appropriate AI/ML tools, frameworks, and technologies to meet project needs. Ensure best practices in AI/ML model development, including versioning, testing, and validation. Stay updated with the latest advancements in AI/ML technologies and incorporate them into architectural designs. Communicate complex AI/ML concepts and solutions effectively to non-technical stakeholders. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Proven experience (8+ years) in designing and implementing AI/ML solutions, with a strong focus on machine learning, deep learning, NLP, and generative AI. Extensive experience with machine learning algorithms, model development, and deployment. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, and Keras. Strong expertise in NLP techniques and tools, including experience with LLMs like Gemini, GPT, BERT, etc. Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services. Knowledge of big data technologies and tools such as Hadoop, Spark, and Kafka. Proficiency in programming languages such as Python, R, and Java. Excellent problem-solving skills and the ability to design robust, scalable AI/ML architectures. Strong communication skills, with the ability to present technical concepts to both technical and non-technical audiences. Experience in leading and mentoring technical teams. Preferred Qualifications: Experience with MLOps practices and tools for continuous integration and deployment of machine learning models. Familiarity with data visualization tools such as Looker, Tableau, Power BI, or similar.
Posted 1 week ago
3.0 - 5.0 years
10 - 20 Lacs
Pune
Work from Office
Fast API, Azure UI Search API (React) Cosmos DB (API for MongoDB), Data Factory Data Bricks Proficiency in Python and R Azure Cloud Basics (Azure DevOps) Gitlab End-to-end AI solution delivery AI integration and deployment
Posted 1 week ago
0 years
0 Lacs
Mumbai, Maharashtra, India
On-site
Key Responsibilities Business Understanding & Solutioning Engage with clients/stakeholders to define analytics roadmaps. Translate business problems into ML, DL, or GenAI-driven analytical solutions. Participate in pre-sales activities, including creating pitch decks, framing solutions, and presenting to clients. Modeling & AI Development Develop models for Prediction, Forecast, Segmentation, Churn, CLV, Recommendation Systems. Build Generative AI solutions using LLMs, Transformers, Autoencoders. Implement scalable AI/ML pipelines with MLOps tools (MLflow, Docker, CI/CD). Team Leadership & Collaboration Lead and mentor 5–10+ data scientists. Work with engineering, product, and client teams to integrate AI in workflows. Knowledge Sharing & Mindset Promote a learning culture; share knowledge across the team. Coach junior ML members and foster collaboration.
Posted 1 week ago
8.0 - 10.0 years
0 Lacs
Chennai, Tamil Nadu
On-site
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.
Posted 1 week ago
4.0 - 7.0 years
20 - 30 Lacs
Gurugram
Hybrid
Key Skills: Machine Learning, Python, Power BI Roles and Responsibilities: Enthusiasm for building analytics and data science solutions while staying updated with latest trends. Strong analytical mindset with experience in building Data Science solutions. Proven experience solving business problems using Data & Analytics techniques. Strategic thinking with a strong customer focus. Ability to articulate complex issues and clearly communicate analytical outputs. Evidence-based decision making with solid analytical and documentation skills. Excellent verbal and written communication skills. Strong collaboration and interpersonal abilities. Innovative, adaptable, and quick to learn new skills and content. Proven ability to work closely with stakeholders and build collaborative partnerships. Ability to convey complex data and analytics to business stakeholders effectively. Strong task management and self-organization skills. Key Accountabilities: Lead the use of advanced analytics across marketing use cases to support data-driven strategy. Enhance feature stores and apply robust feature engineering for marketing analytics. Leverage online data sources (e.g., Adobe Analytics) for marketing applications. Deliver against the AI/ML roadmap for marketing in alignment with enterprise platform capabilities. Drive the continuous improvement and adoption of advanced analytics across teams. Present insights to senior stakeholders using visualization tools and insightful presentations. Develop advanced analytic techniques to support customers' unmet financial needs. Skills Required: 4-6 years of experience in the data science field. Leading the build and deployment of machine learning models to achieve business outcomes. Proficiency in SQL, Python, PySpark, Spark ML. Working knowledge of cloud platforms such as AWS (preferred), Azure, or GCP. Proficient in using source code control tools such as GitHub. Experience working with structured and unstructured datasets and applying advanced analytics techniques. Familiarity with customer data, digital data, and the analytics landscape, with the ability to provide insights for business decision making. Hands-on experience with AutoML tools like DataRobot or H2O.ai. Ability to explore new methodologies to collaboratively solve business challenges. Strong stakeholder management and influencing skills to shape the data science backlog. Strong communication skills to simplify and present complex analytics. Experience with data visualization tools to share insights effectively with stakeholders. Desirable Experience: Leading use of advanced analytics in marketing for strategic data-driven decisions. Contributing to the Artificial Intelligence (AI) roadmap for marketing based on architecture and delivery timelines. Promoting continuous improvement in the adoption and application of advanced analytics. Presenting analytical insights via visual tools and professional insight presentations. Developing new or enhanced analytics techniques to uncover and support unmet customer financial needs. Education: Bachelor's or Postgraduate degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or other relevant disciplines.
Posted 1 week ago
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