3471 Data Scientist Jobs - Page 30

Summary:We are seeking an experienced Data Scientist to join our team at Test Demo in Chennai As a Data Scientist with 4 years of experience, you will play a key role in driving business growth through data-driven insights and recommendations This is an in-office role, and we are looking for someone who is passionate about working with data and has a strong analytical mindset As a Data Scientist at Test Demo, you will be responsible for collecting, analyzing, and interpreting large data sets to identify trends and patterns You will work closely with cross-functional teams to develop and implement data-driven solutions that drive business outcomes Your expertise in machine learning, statistical modeling, and data visualization will be essential in helping us make informed business decisions The ideal candidate will have a strong foundation in computer science, statistics, and mathematics, with experience working with programming languages such as Python, R, or SQL You will be expected to have a strong understanding of data structures, algorithms, and data modeling techniques At Test Demo, we offer a collaborative and supportive work environment that fosters growth and learning Join our team in Chennai and be a part of our mission to drive innovation through data science ResponsibilitiesCollecting, analyzing, and interpreting large data sets to identify trends and patternsWorking closely with cross-functional teams to develop and implement data-driven solutions that drive business outcomesApplying expertise in machine learning, statistical modeling, and data visualization to help make informed business decisionsDesigning and implementing data models, algorithms, and data structures to solve complex business problemsCommunicating insights and recommendations to stakeholders through clear and actionable reports and presentationsRequirements4 years of experience in Data ScienceStrong foundation in computer science, statistics, and mathematicsExperience working with programming languages such as Python, R, or SQLStrong understanding of data structures, algorithms, and data modeling techniques

The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Overview: We are looking for a highly motivated and analytical Data Scientist to join our growing data team. You will play a key role in extracting insights from large datasets, building predictive models, and supporting data-driven decision-making across departments. Location: Bangalore Experience : 3+ Key Responsibilities: Collect, process, and analyze large datasets from multiple sources. Build and deploy machine learning models to solve business problems. Design and implement A/B tests and statistical analyses. Collaborate with cross-functional teams (product, engineering, marketing) to define analytics requirements. Communicate complex data insights in a clear and actionable manner to stakeholders. Develop dashboards and visualizations to monitor key metrics. Stay current with the latest trends and technologies in data science and AI. Required Skills & Qualifications: Bachelor s/Master s degree in Computer Science, Mathematics, Statistics, or related field Proven experience (2+ years) as a Data Scientist or Data Analyst Strong knowledge of Python/R and SQL Hands-on experience with machine learning frameworks (e.g., scikit learn, tensroflow, pytorch) Experience with big data tools (e.g., Spark, Hadoop) is a plus Familiarity with data visualization tools Strong analytical, problem-solving, and communication skills Preferred: Experience with cloud platforms preferably AWS (S3, Sagemaker, Airflow etc) Strong SQL skills, with experience in Snowflake, MySQL, and PostgreSQL. Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker). When you join Metropolis, you ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Role: Lead Data Scientist Location: Bengaluru What you ll do We re MiQ, a global programmatic media partner for marketers and agencies. Our people are at the heart of everything we do, so you will be too. No matter the role or the location, we re all united in the vision to lead the programmatic industry and make it better. As a Lead Data Scientist in our data science department, you ll have the chance to: Drive building of end-to-end AI/ML based Ad-Tech solutions with a high performing team Own projects and processes and make sure you deliver with high quality Collaborate with wider capabilities and functions for a collective success Drive innovation in the Data Science team by continuously upskill, research, apply, and then inculcate innovative practices within the team Who are your stakeholders The Team Lead s internal customers / stakeholders include: Account Managers / Traders / Sales / Analysts: They drive building solutions that are used primarily by these internal customers through MiQ proprietary platforms like Lab and Hub. The Team Lead usually does not directly collaborate with these customers, and the market requirements and solution feedback is through Product Management team Product Management: The Team Lead drives development of solutions in his team, prioritised as part of the Product roadmap. Engineering Teams: Work collaboratively with the engineering teams to Program Management: They work with program managers to make sure the right project delivery processes are set and followed What you ll bring 7+ years of experience in solving data science problems using machine learning, data mining algorithms and big data tools. Strong experience with advanced SQL and good experience in big data ecosystem - Spark, Hive / Pig / MapReduce Experience of delivering at least one product with involvement in business problem identification, proposing solutions and evaluating them, identifying required data sources, building data pipelines, visualising the outputs and taking actions based on the data outputs. Strong Experience with at-least one programming language - e.g. Java, Python, R (Exposure to multiple is a plus) Storing Experience in delivering data science projects leveraging cloud infrastructure. Experience with Agile framework. Experience of leading a data science team is a plus. Highly passionate about making an impact on business using data science. Believes in continuous learning and sharing knowledge with peers. We ve highlighted some key skills, experience and requirements for this role. But please don t worry if you don t meet every single one. Our talent team strives to find the best people. They might see something in your background that s a fit for this role or another opportunity at MiQ. If you have a passion for the role, please still apply. What impact will you create You would drive the development of end-to-end data-driven / AI / ML / Statistics based Ad-Tech solutions that positions MiQ as the leading programmatic partner for advertisers across the lifecycle of a marketing campaign, which consequently contributes to MiQ s Revenue and Gross Profit. You will own your team s quarterly and yearly deliverables, making sure the roadmap solutions produced are of high quality and driving business impact. They are always looking for opportunities to help the team deliver solutions that would differentiate MiQ from competitors by researching & brainstorming on cutting edge AI techniques and technologies. You would drive team focus on ML/AI solutions that scale - from tech as well as functional point of view - with application of software development best practices and ML Ops so as to transition solutions smoothly to production and be hosted on MiQ s proprietary platforms. You would actively contribute to building the MiQ Brand of Data Science by bringing innovation and research to focus internally and externally, through submitting white papers, representing MiQ and presenting at conferences, participating in hackathons etc. What s in it for you Our Center of Excellence is the very heart of MiQ, and it s where the magic happens. It means everything you do and everything you create will have a huge impact on our entire global business. MiQ is incredibly proud to foster a welcoming culture. We do everything possible to make sure everyone feels valued for what they bring. With global teams committed to diversity, equity, and inclusion, we re always moving towards becoming an even better place to work. Values Our values are so much more than statements . They unite MiQers in every corner of the world. They shape the way we work and the decisions we make. And they inspire us to stay true to ourselves and to aim for better. Our values are there to be embraced by everyone so that we naturally live and breathe them. Just like inclusivity, our values flow through everything we do - no matter how big or small. We do what we love - Passion We figure it out - Determination We anticipate the unexpected - Agility We always unite - Unite We dare to be unconventional - Courage Benefits Every region and office has specific perks and benefits, but every person joining MiQ can expect: A hybrid work environment New hire orientation with job-specific onboarding and training Internal and global mobility opportunities Competitive healthcare benefits Bonus and performance incentives Generous annual PTO paid parental leave, with two additional paid days to acknowledge holidays, cultural events, or inclusion initiatives. Employee resource groups are designed to connect people across all MiQ regions, drive action, and support our communities. Apply today! Equal Opportunity Employer

Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Experience in data science, machine learning, AI applications, and generative AI modelling. Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.

What the Candidate Will Need / Bonus Points What the Candidate Will Do ---- Scope & Impact: You will have the opportunity to collaborate with multiple cross-functional global teams to deliver scalable data solutions wherein the expectation is to -> Build scalable analytical frameworks to support product analytics for Ubers Customer Obsession Platform Be an invaluable partner to product managers, engineers, operations, & various data teams to help create and execute the direction of the product roadmap which includes scoping the business problem, providing a data lens to product design, owning the experimentation cycle to full global rollouts and eventually impact estimation & long term monitoring. Proactively communicate insights and drive projects to drive towards team goals Ensure data quality across critical pipelines and to set up processes to triage data issues Build & maintain critical data pipelines, insight boards & monitoring tools that help track metrics to measure and monitor platform health Seek out opportunities to build new solutions to tackle Customer & Business pain points Basic Qualifications ---- 2+ years of work experience with a Bachelors Degree OR 1+ years of work experience with a Masters Degree. Work experience should be in a data-focused role such as product analytics, risk analytics, business analytics, business operations, or data science Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience Proven competency in statistical languages like SQL, SAS, R and/or in modern programming languages like Python Past experience with a Product / Tech / Analytics Services company serving businesses with millions of customers on multiple platforms and countries Preferred Qualifications ---- SQL mastery. Write efficient and complex code in SQL Experience in Python/R, Experimentation methods like A/B testing, and Statistical modelling is preferred Experience in Customer Service related domains with a Product / Technology / Analytics Services company is a plus Proven ability to handle and visualise large datasets, explore and utilise raw data feeds Love of data - One should have the zeal to just go get the required data and turn it into an insightful story Ability to build a structured approach to problem-solving that leads to high quality hypotheses Strong sense of ownership, accountability, and entrepreneurial spirit Effective communicator & proactive collaborator Independent & autonomous, while still a strong team player Enthusiastic, self-starting and thrives in changing, agile environments *Accommodations may be available based on religious and/or medical conditions, or as required by applicable law.

At Uber, we empower millions of people to earn and get services on the platform. We help the world move, and do this at an impressive scale. However, this is not always smooth for our customers, sometimes they need help as they may be new to our platform, or would have encountered a unique situation, and sometimes things just don t work the way they are expected to. That s when they reach out to us for help, and these support experiences are built and turned magical by the Customer Obsession team at Uber. This role is within the Customer Obsession Data Science team. We are a bunch of talented, passionate and driven folks that use science to drive strategic & tactical decisions which ensure best in-class support experiences at the lowest cost. We get to build, test and generate insights from cutting edge technologies including GenAI/LLM/Bots. Does this sound exciting to youAre you a tested problem solver, executor & team-playerWe want to hear from you. We are currently looking to hire for the role of Data Scientist I in Bangalore/Hyderabad within the above scope, where one will have the opportunity to collaborate with multiple cross-functional global teams to deliver scalable data solutions including A/B testing frameworks, Causal inferences, Monitoring solutions & Analytical frameworks. What the Candidate Will Do Scope & Impact: You will have the opportunity to collaborate with multiple cross-functional global teams to deliver scalable data solutions wherein the expectation is to -> Build scalable analytical frameworks to support product analytics for Ubers Customer Obsession Platform Be an invaluable partner to product managers, engineers, operations, & various data teams to help create and execute the direction of the product roadmap which includes scoping the business problem, providing a data lens to product design, owning the experimentation cycle to full global rollouts and eventually impact estimation & long term monitoring. Proactively communicate insights and drive projects to drive towards team goals Ensure data quality across critical pipelines and to set up processes to triage data issues Build & maintain critical data pipelines, insight boards & monitoring tools that help track metrics to measure and monitor platform health Seek out opportunities to build new solutions to tackle Customer & Business pain points Basic Qualifications 2+ years of work experience with a Bachelors Degree OR 1+ years of work experience with a Masters Degree. Work experience should be in a data-focused role such as product analytics, risk analytics, business analytics, business operations, or data science Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience Proven competency in statistical languages like SQL, SAS, R and/or in modern programming languages like Python Past experience with a Product / Tech / Analytics Services company serving businesses with millions of customers on multiple platforms and countries Preferred Qualifications ---- SQL mastery. Write efficient and complex code in SQL Experience in Python/R, Experimentation methods like A/B testing, and Statistical modelling is preferred Experience in Customer Service related domains with a Product / Technology / Analytics Services company is a plus Proven ability to handle and visualise large datasets, explore and utilise raw data feeds Love of data - One should have the zeal to just go get the required data and turn it into an insightful story Ability to build a structured approach to problem-solving that leads to high quality hypotheses Strong sense of ownership, accountability, and entrepreneurial spirit Effective communicator & proactive collaborator Independent & autonomous, while still a strong team player Enthusiastic, self-starting and thrives in changing, agile environments *Accommodations may be available based on religious and/or medical conditions, or as required by applicable law.

We are looking for a highly driven and experienced Data Scientist to join Uber s FinTech - Data Science team. In this role, you will have the amazing opportunity to shape how Uber understands and optimizes its financial performance across diverse business lines. You ll partner closely with Data Science, Product, Engineering, Finance, and other cross-functional stakeholders on fast-moving, high-stakes problems. A deep analytical and science passion and the ability to execute key business priorities are a must for this role. Your performance is measured by the insights you give, communication effectiveness, and the initiative to drive ideas and implement them into action! What the Candidate Will Need / Bonus Points What the Candidate Will Do ---- Analyze large volumes of financial and operational data to extract actionable insights, with a focus on key financial and business metrics Develop models to forecast financial metrics, detect anomalies, and support strategic decision-making across Uber s financial systems. Partner with stakeholders across Finance, Product, Engineering, and ML teams to design, prototype, and productionize end-to-end data science solutions. Build end-to-end data pipelines and self-serving dashboards. Automate whatever you can! Communicate your findings to cross-functional peers and management. Build tools and documentation that enable operational teams to independently explore financial metrics and monitor key performance indicators. Investigate and resolve discrepancies across multiple financial systems and datasets, ensuring consistency and trust in reported metrics Build effective visualizations to communicate data to key decision-makers Get a deep understanding of the FinTech systems and data flows involved; document and train internal personnel to institutionalize the learnings of the data science practice. Basic Qualifications ---- Bachelors degree with 2+ years, or Master s degree with 1+ years, of relevant industry experience in Data Science or similar roles. Advanced SQL proficiency and strong understanding of data modeling. Solid foundation in statistical methods and data exploration techniques. Experience building dashboards or visualizations using Tableau, Plotly, Looker, or similar platforms. Strong communication skills, with the ability to translate data findings into clear recommendations to cross-functional stakeholders Preferred Qualifications ---- Experience in Python/R for data analysis, modeling, and pipeline automation. Experience developing forecasting or anomaly detection models, ideally in financial or operational domains Demonstrated ability to decompose complex business problems into structured analytical approaches Proven success in cross-functional collaboration and stakeholder engagement. Prior exposure to finance or related industries is a plus *Accommodations may be available based on religious and/or medical conditions, or as required by applicable law.

Data scientists at Thoughtworks apply a deep knowledge of statistics, modeling, machine learning algorithms and data mining techniques. This is coupled with awareness of adjacent areas, to make business value and data insights visible, enabling clear and effective decision making. They are responsible for the strategy, implementation, productionization and articulation of business impact. They collaborate with cross-functional teams and communicate findings to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems. Job responsibilities You will work collaboratively with teams/products, crafting data science and machine learning solutions that generate a big impact on customers You will conduct experiments and develop hypotheses to solve business problems using advanced statistics techniques You will develop and implement data science strategies that drive measurable business results You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind You will interact with clients from diverse domains, addressing their challenging problems You will contribute to the growth and knowledge sharing within the data science community, with a focus on latest tech trends in the data science and machine learning space You will address ethical concerns in data science, including privacy, bias and fairness, while adhering to ethical guidelines Job qualifications Technical Skills You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects You understand the specialized areas of AI and possess experience with at least one of them (i.e.: NLP/computer vision/Generative AI, etc) You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations You are aware of data privacy regulations and ethical standards when handling sensitive information Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives You dont shy away from risks or conflicts, instead you take them on and skillfully manage them You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work You enjoy influencing others and always advocate for technical excellence while being open to change when needed

Position Summary MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science. Role Value Proposition: We are looking for you: high performing data and analytics professional - driven by passion and purpose, to drive quality standards and support end-to-end development of actionable, high-impact AI solutions for MetLifes enterprise functions and lines of businesses across markets. This position requires hands-on experience of developing an end-to-end Machine Learning/AI solution that can be leveraged for maximum business impact through on prem /cloud in both real time and batch mode depending upon business requirements. The role would collaborate with multiple stakeholders under the guidance of Lead/Director Data scientists to develop robust, stable, and scalable advanced analytics/machine learning solutions leveraging new age methodologies/techniques. Superior problem-solving ability, curiosity, strong coding skills and attention to detail are the key success factors. Job Responsibilities Expert-level proficiency in at least one statistical tool language (R, Python) with a strong preference towards Python with excellent debugging skills Strong conceptual understanding of machine learning algorithms including linear regressions, classification algorithms, time series techniques, topic modeling etc. Good written, oral communication with ability to communicate effectively with stakeholders Basic to mid-level understanding of the insurance risk selection, underwriting practices and experience in analyzing the insurance portfolios is a plus Mentoring skills are considered as a plus Experience with Big Data platforms Hadoop (Hive, Pig, Map Reduce, HQL)/Spark/H2O-Linux environment is considered as a plus Experience in technologies like Azure and advanced analytics concepts like Simulation, Deep Learning etc. are considered as a plus Knowledge, Skills and Abilities Bachelors degree in a quantitative field required; Masters or PHD preferred 5-8 years of experience in insurance analytics, data science or similar function Work with Lead Data Scientist to translate given business problem into analytical use-cases with defined outcomes Collaborate with Data Scientists to develop, implement and test most appropriate algorithms for a given use-case; be able to review the work of data scientists and provide guidance Translate statistical analysis to insights and recommendations and work with Data Engineers to automate / production Alize them Ensure coding standards as well as designing standards to ensure reusability Drive innovation by enhancing existing solutions and designing new ones Build collaboration and awareness in the global analytics community

oProvide 2nd line (incident solving) support for Linux Server platform- oDeliver Linux Servers (VM/physical) as per need oPatch management of Linux Servers oDeliver/execute project work o Work simplification by doing automation or providing input o Involvement in project work or work packages as and when required Requirements An Engineering graduate in Computer Science from a reputed institute with overall 3 - 5 year of experience in IT environment whereas 3yrs must be relevant experience in Linux is mandatory- - With the following primary skillsets: o Practical exposure on Linux Server System Administration on various range RHEL 7/8/9 o Scripting knowledge (Shell or Bash) o Good concept of Operating Systems, Networks,Protocols (like TCPIP etc,) o Good concept of Operating Systems - With the following skills that can give an added advantage: o Scripting knowledge (Python), Ansible o Patching of servers Behavioral Skills: Able to work in a multi cultural global environment Sound communication skills with a capacity to present, discuss and explain issues clearly and logically, written and verbal- Good team player, self-motivated, and able to work on own initiative with minimal supervision Good problem solving skills; clear decision-making ability to judge complex situations

As an RWD SME / RWE Execution Data Scientist, you will focus on executing innovative methodologies and AI models to mine RWD on the data42 platform- You will be the go-to authority for leveraging diverse RWD modalities patterns crucial to understanding patient populations, biomarkers, and drug targets, accelerating the development of life-changing medicines- About the Role Duties and Responsibilities: Collaborate with R&D stakeholders to co-create and implement innovative, repeatable, scaleable and automatable data and technology solutions in line with data42 strategy- Be a data SME, understand RWD of different modalities, vocabularies (LOINC, ICD, HCPCS etc-), non-traditional RWD (Patient reported outcomes, Wearables and Mobile Health Data) and where and how they can be used, including in conjunction with clinical data, omics data, pre-clinical data, and commercial data- Contribute to data strategy implementation such as Federated Learning, tokenization, data quality frameworks, regulatory requirements (submission data to HL7 FHIR formats conversion, Sentinel initiative), conversion to common data models and standards (OMOP, FHIR, SEND etc-), FAIR principles and integration with enterprise catalog Define and execute advanced integrated and scaleable analytical approaches and research methodologies (including industry trends) in support of exploratory and regulatory using AI models for RWD analysis across the Research Development Commercial continuum by facilitating research questions- Stay current with emerging applications and trends, driving the development of advanced analytic capabilities for data42 across the Real-world evidence generation lifecycle, from ideation to study design and execution- Demonstrate high agility working across various cross-located and cross-functional associates across business domains (commercial, Development, Biomedical Research) or Therapeutic area divisions for our priority disease areas to execute complex and critical business problems with quantified business impact/ROI- Draft and edit high-level research documents (proposals, protocols, statistical analysis plans)- [optional] Knowledge of governance, ethical and privacy considerations [optional] Ideal Candidate Profile: PhD or MSc- in a quantitative discipline (e-g-, but not restricted to Computer Science, Physics, Statistics, Epidemiology) with proven expertise in AI/ML- 8+ years of relevant experience in Data Science (or 4+ years post-qualification in case of PhD)- Extensive experience in Statistical and Machine Learning techniques: Regression, Classification, Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting, Text Mining, and Natural Language Processing, LLMs, and multi-modal Generative AI- Good to have skills: Stochastic models, Bayesian Models, Markov Chains, Optimization techniques including, Dynamic Programming Deep Learning techniques on structured and unstructured data, Recommender Systems- Proficiency in tools and packages: Python, R(optional), SQL; exposure to dashboard or web-app building using PowerBI, R-Shiny, Flask, open source or proprietary software and packages is an advantage- Knowledge in data standards e-g- OHDSI OMOP, and other data standards, FHIR HL7 for regulatory, and best practices- Good to have: Foundry, big data programming, working knowledge of executing data science on AWS, DataBricks, SnowFlake Strong in Matrix collaboration environments with good communication and collaboration skills with country/ regional/ global stakeholders in an individual contributor capacity- High learning agility and adherence to updates in industry and area of work- Optional Experience in Biomedical Research and development in pharma is a bonus-

The individual will be part of VCA Data Science team, under Visa Managed Services (VMS) vertical and will be responsible for delivering data analytics projects with Visa client- The team is involved in a comprehensive range of analytics services for our client, that address unique challenges in areas such as strategic growth, cards profitability, product acquisitions, customer engagement and portfolio management- What a Data Scientist, Visa Consulting & Analytics does at Visa: The Data Scientist will be a member of VCA Data Science team in Asia Pacific and will report to the squad lead- This position will be embedded at client office and based in Bangalore- The individual will be accountable for delivery and implementation of analytics strategies as well as high-impact solutions for the client- He/she will bring in deep expertise from credit cards and retail banking with a strong background in data analysis to solve complex problems and unlock business value- Key responsibilities include: Execute and deliver data analytics projects for the Visa client Drive credit card portfolio strategies with the use of client data and/or other sources of data e-g- Visa data, third party etc- Act as analytics advocate within our partners, advising teams and sharing best practices and case studies- Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent, and infrastructure- Explore leading methodologies, best practices and import successful methodologies from other international markets Effectively interact with clients and manage internal/external stakeholder communication Why this is important to Visa As payments consulting arm of Visa, VCA is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients- We re building a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce with cutting-edge, creative, and advanced analytic solutions- The purpose of the team is to help Visa s clients grow their business and solve problems by providing consulting services using data- What you will need: We are looking for a motivated, analytical minded individual with a track record of using data and analytics to unlock business value- A successful candidate should have accumulated a variety of industry experience, be curious about banking and cards industry, should be results-driven and client-centric- This is a remote position- A remote position does not require job duties be performed within proximity of a Visa office location- Remote positions may be required to be present at a Visa office with scheduled notice- Basic Qualifications: 3. 5 years of relevant work experience and a Bachelors degree, Preferred Qualifications: 3.5 years of work experience with a Bachelor s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) Degree in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent Experience in credit cards, and/or retail banking analytics Hands on experience with one or more data analytics/programming tools such as SAS/Hadoop/R/SQL/Python/Hive Outstanding problem.solving skills, with demonstrated ability to think creatively and strategically Presentation and data storytelling skills including strong hold on MS Excel and PowerPoint Self.motivated, results oriented individual with ability to handle multiple projects concurrently Experience in working closely with data science community

Big data analysis Inventory Metadata modelling and development Experience working with Graph DB (Neo4j) Proficient with TMF-633, 634, 638 & 639 standards Relational to Graph database migration. Knowledge of network concepts and data model exposure Required Candidate profile Data Scientist with min 6 years of experience, Experience in Big Data analysis Inventory Metadata Experience working with Graph DB (Neo4j) Proficient with TMF-633, 634, 638 & 639 standards

Exp in SAS, SQL and large amounts of data US Stakeholder exp Exp of acquisition/account management credit risk models, transactional fraud models, marketing models, collections models, finance models, loss models, Loss forecasting (PD/LGD/EAD/CECL) Required Candidate profile SAS SQL Python Credit risk Credit Card Statistical Modelling Predictive Modelling

We are looking for a highly skilled Data Scientist to join our team and help drive data-driven decisions and AI-powered innovation . The ideal candidate will have strong analytical and problem-solving skills, experience working with large datasets, and a deep understanding of machine learning , statistical modeling , and artificial intelligence tools including growing exposure to Generative AI (GenAI) technologies. As a Data Scientist, you will collaborate with various teams to analyze data, build predictive and generative models, and contribute to the companys strategic goals. Youll also have opportunities to explore and experiment with emerging GenAI techniques, such as large language models (LLMs), prompt engineering , and synthetic data generation to support cutting-edge solutions. Required Skills & Qualifications Bachelors or masters degree in data science, Computer Science, Statistics, Mathematics, or a related field. 2+ years of experience in a data science or applied ML role. Proficiency in Python, R, or SQL, and libraries such as scikit-learn , pandas or NumPy . Strong grasp of machine learning concepts, including regression, classification, clustering, and model evaluation. Experience with data visualization tools like Power BI, Tableau , or matplotlib/seaborn . Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras, OpenCV. Basic familiarity with Generative AI concepts (e.g., LLMs, prompt engineering, or transformer models) and a willingness to learn and apply them. Excellent analytical and problem-solving skills, with strong attention to detail. Effective communication skills, with the ability to translate complex technical findings for business stakeholders. Preferred candidate profile Experience with cloud platforms like Azure, AWS, or GCP . Exposure to LLM APIs (e.g., OpenAI, Hugging Face Transformers) or LangChain for building GenAI prototypes. Knowledge of deep learning, neural networks , and unstructured data (e.g., text, images). Familiarity with data engineering and ETL processes. Awareness of AI ethics , bias detection, and responsible model development practices.

Job Title: Data Scientist Location: Remote Experience: 2+ years Employment Type: Full-time About Us Infinite Uptime uses advanced predictive maintenance analytics and interconnected data to surface actionable insights . These insights empower intelligent, data-driven decisions , driving continuous improvement and optimizing performance with our predictive maintenance solutions . About the Role We are looking for a highly adaptable and hands-on Data Scientist with at least 2 years of experience in machine learning (ML) , deep learning (DL) , and software development . Prior experience in predictive maintenance or working with sensor/time-series data in industrial or manufacturing environments is highly desirable. The ideal candidate should be able to understand equipment behaviour and domain-specific structures , work seamlessly with APIs , and develop robust Python-based solutions that can be deployed as standalone executables or scalable services. Key Responsibilities Industry & Data Understanding o Quickly grasp domain-specific challenges and apply ML solutions effectively. o Work with cross-functional teams to understand business needs and data flows . ML Model Development & Implementation o Build, train, and optimize Machine Learning/Deep Learning models for predictive analytics, anomaly detection, and decision automation. o Implement end-to-end ML pipelines from data ingestion to deployment. o Handle large-scale data efficiently and develop automated processing scripts . o Build robust datasets which includes labelling, dataset cleaning, Feature engineering, Exploratory Data Analysis. API & Software Development o Develop Python-based APIs for model inference and data processing. o Work with RESTful APIs, integrate third-party services, and automate workflows. o Convert ML models into deployable, executable files for non-technical users. Fast Prototyping & Execution o Write clean, optimized, and well-documented Python code quickly. o Build functional proof-of-concept solutions under tight deadlines. o Adapt to fast-changing business needs and iterate on solutions rapidly. Required Skills & Qualifications Education: o Bachelor's or master's degree in computer science , Data Science, AI, Machine Learning. Technical Skills: o Strong Python coding skills with experience in fast development cycles (pandas, NumPy etc). o Knowledge of ML/DL frameworks (scikit-learn, TensorFlow/PyTorch). o Experience in handling APIs, web scraping, or automating data pipelines . o Ability to convert ML models into standalone executables or deployable services . o Hands-on experience with SQL for data extraction and manipulation . o Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly). o Knowledge of cloud computing (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus . Soft Skills: o Ability to quickly adapt to new challenges and technologies. o Strong problem-solving and debugging skills. o Effective communication skills to work with technical and non-technical teams. Bonus Skills Practical experience in working with process data to deliver actionable analytics and insights. Experience with MLOps tools (MLflow, DVC, GitHub Actions). Experience with Scalable AI Model deployment such as ability to build Flink Pipelines. Understanding of CI/CD pipelines for ML model deployment . Why Join Us? Work in a fast-paced, innovation-driven environment. Gain hands-on experience with real-world ML & AI challenges . Competitive salary, mentorship, and upskilling opportunities.

Position-1: Data Scientist Experience- 7+ years Location-Bangalore Databricks experts for Data scientists AI engineers - anyone who has been working on LLAMA models, learnign how to do vector DB integration and building python scripts and capabilities using Postgres and other AI toolsets to build applications and work in a startup workd very fast and deliver new applications. Job Types: Full-time, Contractual / Temporary Contract length: 3 months Pay: ₹70,000.00 - ₹80,000.00 per month Schedule: Day shift Evening shift Monday to Friday Supplemental Pay: Performance bonus Application Question(s): Are you ready to move Bangalore? Education: Bachelor's (Preferred) Experience: Data Scientist: 7 years (Preferred)

Experience: 3+ years Location - Bengaluru Mode of work - Work from office Mode of interview - Face to Face Notice Period : Immediate joiners We are looking for a highly motivated and passionate AI/ML Engineer with a strong foundation in machine learning and hands-on project experience in Generative AI. will work on cutting-edge technologies involving Large Language Models (LLMs), Agentic AI, and toolkits like Lang Chain, Lang Graph, and Phi Data. Key Responsibilities Build, experiment with, and fine-tune Generative AI models using popular LLMs (e.g., OpenAI, LLaMA, Mistral, etc.). Develop agent-based workflows using tools such as LangChain, LangGraph, and PhiData. Create interactive and dynamic AI pipelines for tasks like summarization, Q&A, sentiment analysis, and more. Collaborate with the AI/ML team to design and deploy prototypes and PoCs. Write clean, modular Python code and maintain version control via Git/GitHub. Document projects clearly and effectively for internal and external stakeholders. Required Skills Solid understanding of Machine Learning, Deep Learning fundamentals, and model evaluation. Experience with Generative AI projects (transformers, text generation, prompt engineering, etc.). Familiarity with frameworks like LangChain, LangGraph, PhiData. Proficient in Python, along with common ML libraries (e.g., PyTorch, Hugging Face Transformers, scikit-learn). Good understanding of LLM APIs (OpenAI, Anthropic, Cohere, etc.). Strong problem-solving ability and communication skills. Active GitHub profile showcasing relevant projects is mandatory Good to Have Knowledge of REST APIs, basic backend frameworks like Flask or FastAPI. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate). Basic understanding of RAG (Retrieval-Augmented Generation) pipelines. Knowledge of prompt chaining and tool-calling via LLM agents. Knowledge on web application development

Job Description: 1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem b. Improve Model accuracy to deliver greater business impact c. Estimate business impact due to deployment of model 2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge 3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch 5. Experience in using Deep learning models with text, speech, image and video data a. Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc b. Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV c. Knowledge of State of the art Deep learning algorithms 6. Optimize and tune Deep Learnings model for best possible accuracy 7. Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau 8. Work with application teams, in deploying models on cloud as a service or on-prem a. Deployment of models in Test / Control framework for tracking b. Build CI/CD pipelines for ML model deployment 9. Integrating AI&ML models with other applications using REST APIs and other connector technologies 10. Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

Data Management : Collect, validate, and maintain data from various departments including inventory, sales, procurement, and finance. Design and develop automation scripts using Google Apps Script . Build custom Google Sheet dashboards and reports with real-time data integration. Integrate Google Workspace with third-party APIs (e.g., WhatsApp, Slack, payment gateways, or internal systems). Reporting : Generate and distribute daily, weekly, and monthly sales reports. Create customized dashboards for different departments (e.g. showroom performance, online sales, vendor performance). Develop management reports (MIS reports) on inventory levels, procurement trends, and customer analytics. ERP / POS Systems : Work closely with ERP or POS systems used in jewelry retail (e.g. , Sionic, Tally,CRM, ) to extract meaningful reports. Job Type: Full-time Pay: ₹45,000.00 - ₹55,000.00 per month Benefits: Paid sick time Provident Fund Work from home Schedule: Day shift Supplemental Pay: Yearly bonus Work Location: In person

Hyderabad, TG, IN, 500081 Let's play together About Our Company Fortuna has become an established brand among customers within just a few years. We became a proud international Family of companies carrying Fortuna Entertainment Group from the first betting shop. We want to go further and be known for having the best tech department offering our employees the usage of modern technologies, and being part of many exciting projects. Our new home is the remarkable Churchill II building which has a view of Prague. Every detail underlines the company's corporate culture and represents our values. The workplace layout is 100% ecological, providing ideal conditions for everyday work. We all work as one team and treat each other with respect, openness, a sense of honor and respect for individual and cultural differences. Hey there! We're Fortuna Entertainment Group, and we’re excited to share why we’re a team worth joining. Who We Are? Founded in 1990, FEG is a top player in the betting and gaming industry. We proudly serve millions of customers across five European countries – Czech Republic, Slovakia, Poland, Romania, and Croatia – with our Business Intelligence operations based in India. Why Join Us? At FEG India, you’ll be part of a team that’s powering the digital future of one of Central and Eastern Europe’s leading betting and gaming operators. We’re a growing tech hub delivering high-quality solutions in Data, BI, AI/ML, Development, and IT Services. Your work here directly supports global operations — and we make sure our people grow with us. Current Opportunity Right now, we´re seeking a Data Scientist to drive Data science in FEG business and build statistical and ML based models, and insights. What You’ll Be Doing Your daily activities will include, but not limited to: Retrieve the data from different data sources i.e., Data Lake and Data Ware House using SQL, Python or PySpark Cleaning and preprocess the data for quality and accuracy Perform EDA to identify patterns, trends and insights using statistical methods Develop and implement machine learning models for customer behavior, revenues, campaigns Enhance the existing models by adding more features and expand it to other markets / teams Working with other teams such as engineering, product development, and marketing to understand their data needs and provide actionable insights Support the data analytics team in improving analytical models with data science-based insights Develop and provide MLOps framework on Microsoft Azure for deploying ML models (good to have) What We’re Looking For A degree in Computer Science / Information Technology Fluent communication skills in English both written and verbal Team player who can share experience with the team and grow them technically High quantitative and cognitive ability to solve complex problem and think with a vision You Should Have Experience In At least 4 years of experience of working in data roles – Data Analyst, Business Analyst and Data Scientist 3 + years of experience in programming and data science, MLOps and automation of models Sound practical knowledge of working with advanced statistical algorithms Great understanding of all machine learning techniques and its application on business problems Experience with ML on MS Azure stack in combination with Python, SQL Strong business understanding. Worked in developing analytics solutions in 2-3 Domains Experience in building and productionizing ML platforms. Work And Personality Characteristics Required Data Driven Technical Thinking Problem-solving Communication skills Critical Thinking Task Management Proactive Why You’ll Love It Here We are the biggest omni-channel betting and gaming operator in Central and Eastern Europe, B2C High-tech Entertainment company Hybrid Working Arrangements (work from home) Flexible working hours Interesting innovative projects Cooperation across 5 markets and departments, international teams Variety of Tasks, where Problem-Solving and Creativity is needed Advancement, Promotions and Career opportunities for talents Skill Development & Learning options – both individual and team, development goals filled by individualised development plans Welcoming Atmosphere, open and informal culture and dress code, friendly colleagues, strong eNPS scores If this sounds like your kind of place, let us know by applying! We can’t wait to hear from you. Offices at FEG Your browser does not support the video tag.

Job Responsibilities Expert-level proficiency in at least one statistical tool language (R, Python) with a strong preference towards Python with excellent debugging skills Strong conceptual understanding of machine learning algorithms including linear regressions, classification algorithms, time series techniques, topic modeling etc. Good written, oral communication with ability to communicate effectively with stakeholders Basic to mid-level understanding of the insurance risk selection, underwriting practices and experience in analyzing the insurance portfolios is a plus Mentoring skills are considered as a plus Experience with Big Data platforms – Hadoop (Hive, Pig, Map Reduce, HQL)/Spark/H2O-Linux environment is considered as a plus Experience in technologies like Azure and advanced analytics concepts like Simulation, Deep Learning etc. are considered as a plus Knowledge, Skills and Abilities Education Bachelor’s degree in a quantitative field required; Masters or PHD preferred Experience 5-8 years of experience in insurance analytics, data science or similar function Work with Lead Data Scientist to translate given business problem into analytical use-cases with defined outcomes Collaborate with Data Scientists to develop, implement and test most appropriate algorithms for a given use-case; be able to review the work of data scientists and provide guidance Translate statistical analysis to insights and recommendations and work with Data Engineers to automate / production Alize them Ensure coding standards as well as designing standards to ensure reusability Drive innovation by enhancing existing solutions and designing new ones Build collaboration and awareness in the global analytics community

Job Title: Data Scientist Classical ML Experience Level: L3 / L4 (5–7 Years) Location: Bangalore, Pune, Chennai, Gurugram, Hyderabad, Kolkata Employment Type: Full-Time Work Mode: Hybrid (Work from Office) Max Budget: 40 LPA About the Role We are seeking skilled Data Scientists with 5+ years of relevant experience in SQL, Python, and Classical Machine Learning . The ideal candidate should have strong domain knowledge in one or more of the following areas: Marketing Analytics, Supply Chain Analytics, or Pricing & Promotion Optimization . Open Positions 1. L3 – Advertising & Campaign Analytics Experience: 5–7 years (5+ years relevant) Skills: SQL, Classical Machine Learning Domain Expertise: Advertising & Campaign Analytics Marketing Mix Modeling (MMM) Market Mix Optimization (MMO) 2. L3 – Pricing, Assortment, and Supply Chain Experience: 5–7 years (5+ years relevant) Skills: SQL, Python Domain Expertise: Pricing & Promotion Analytics Assortment Planning Supply Chain Optimization 3. L4 – Classical ML Focus Experience: 5–7 years (5+ years relevant) Skills: SQL, Python Focus Areas: Classical Machine Learning Broad Data Science Applications across domains Key Responsibilities Develop and deploy Classical ML models to solve real-world business problems. Work with large datasets using SQL and Python for data preparation, feature engineering, and analysis. Partner with cross-functional teams to translate business objectives into data science solutions. Communicate insights and results to technical and non-technical stakeholders effectively. Continuously improve models based on performance metrics and business feedback. Preferred Qualifications Bachelor’s or Master’s in Computer Science, Statistics, Mathematics, or a related quantitative field. Proven experience in statistical modeling, regression, classification, and other ML techniques. Domain experience in Marketing, Retail, or Supply Chain is highly desirable. Strong problem-solving skills and business acumen.

Salary : 30 to 45 LPA Exp: 6 to 10 years Location :Hyderabad (Hybrid) Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 5+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

You will be involved in the delivery of robust, scalable ML solutions by contributing to the development of detailed problem statements outlining hypotheses and effects on target clients, analysis and summarization of datasets, data selection and transformation, ML model training, and examination of model performance. You will mentor and allocate responsibilities to junior staff data scientists, pursue effective relationships by sharing resources, information, and knowledge, receiving and learn from feedback, and assess and respond to the needs of others to support a business outcome. You will plan and schedule your work to ensure the completion of several interrelated tasks with minimal direction, and exercise judgment and discretion in resolving and developing solutions for moderately complex problems