1345 Data Scientist Jobs - Page 3

Job Title : Data Scientist Location : [Nagercoil] Job Type : Full-time Experience : 1-3 years (Freshers with good academic background can also apply) Salary : [1.5 - 2.5] LPA About the Role We are seeking a talented and analytical Data Scientist to join our team. You will be responsible for turning raw data into actionable insights that guide strategic decisions and product improvements. Ideal candidates should have strong problem-solving skills, proficiency in data science tools, and a passion for working with data. Key Responsibilities : Analyze large volumes of structured and unstructured data to find patterns and trends Build predictive models and machine learning algorithms Work closely with business teams to identify opportunities for leveraging data Communicate findings effectively through reports, dashboards, and visualizations Perform data cleaning, validation, and preprocessing Develop A/B testing frameworks and analyze test results Collaborate with software engineers and analysts to implement data-driven solutions Required Skills : Strong knowledge of Python or R for data analysis and machine learning Experience with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch Proficiency in SQL for data querying Hands-on experience with data visualization tools like Power BI, Tableau, or Matplotlib/Seaborn Understanding of statistics, probability, and algorithms Excellent analytical and problem-solving skills Preferred Qualifications : Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field Experience with big data tools like Hadoop or Spark is a plus Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Job Types: Full-time, Permanent Pay: Up to ₹25,000.00 per month Schedule: Day shift Work Location: In person

The role The Data Scientist is a vital role within the Blenheim Chalcot portfolio and Oakbrook. This is a leading role in the ongoing development of a world class consumer lending business that is aiming to change lending for the better by becoming the UK’s most trusted and responsible fintech business. Every day we innovate together to provide tailored, affordable, and simple products that people can easily manage and understand. The R programmer role has been created to design, build, maintain, and support our internal decision engine capabilities (built using R) to meet defined business needs and to accommodate technical considerations in balance with business requirements within the roadmap. Ensuring that the decision engine is advanced and capable of enabling us to deliver our growth ambitions. Key Responsibilities: Working closely with a wide number of stakeholders (product owners, analysts, Data scientists, senior leadership team etc) to provide strategic solutions. Broad thinking, solutions are in context of the business Communication within the team and external, able to engage with people with different skillsets from around the business Presentation and documentation skills Awareness of the influence you have on the business & the power of your voice, set the tone for the team (positive, enthusiastic) Open to being challenged & flexible in approach – bringing people on a journey Drive the team to make commitments and to deliver against them Build dashboards and reports to monitor key performance KPIs & Deliverables: Dashboards & Reporting: Deliver clear, accurate monitoring of performance of all Oakbrook’s decision engines Programming and Delivery: Project management Implementation of decision engine changes Deploying and monitoring of decision engines Unit and Integration Testing of decision engines Working closely with dev team to deliver larger projects Assisting dev team with wider testing Suggesting and making improvements to code base Quality & Communication: Ensure all deliverables are accurate and error-free. Present findings clearly to technical and non-technical audiences. About You The ideal candidate will have a track-record in delivering results in a fast-moving business and hence be comfortable with change and uncertainty. Excellent stakeholder management experience is essential to being successful in this role. Technical and or professional experience required to be successful in the role: Technical Skills Skilled using R/Python programming languages, with a willingness to learn other languages Experience with producing reports in Power BI Automated testing, particularly unit testing Technical documentation Dev Ops Decision engine experience within financial services MongoDB Containerisation, particularly with Docker and Kubernetes SQL Some understanding of data science / credit risk (the role holder will work closely with these teams) Experience with GitHub Experience with Atlassian suite Experience with Octopus deploy Non-Technical Skills Must be intellectually curious with a passion for making data driven decisions Thrive in a team environment Exceptional Communication and Interpersonal Skills Strong time management skills Discretion when dealing with confidential information Self-motivated and proactive Keen eye for detail Resilient — able to respond to challenges of tech delivery Monitors performance against deadlines and milestones and does what is needed to get the job done Probes for greater understanding of a problem Accepts new ideas and change initiatives, easily let’s go of the past and is willing to adapt to change Ability to influence and constructively challenge Understands business objectives and priorities beyond own area of work Plans and organizes self/team well About Blenheim Chalcot Blenheim Chalcot is one of the leading venture builders in the world. We have been building exciting and disruptive businesses for over 26 years across sectors including FinTech, EdTech, GovTech, Media, Sport, Charity and more. These companies are all GenAI enabled and are some of the most innovative companies in the UK and increasingly around the world. The BC team in India has been instrumental to the growth and success of Blenheim Chalcot. Established in 2014, Blenheim Chalcot India serves as a pivotal launchpad for those aiming to make a difference in the realm of innovation and entrepreneurship. Blenheim Chalcot India is driven by a mission to empower visionaries to lead, innovate, and build disruptive solutions. We support our diverse portfolio of ventures and create impactful solutions that shape global trends. We provide a range of services to help new business get off the ground, including technology, growth (marketing and sales), talent, HR, finance, legal and tax, plus so much more! One of our FinTech ventures, Oakbrook, is scaling fast and we’re looking to hire high energy, motivated and curious talent to support them on that journey! About Oakbrook Founded in 2011, Oakbrook has united experts in consumer lending, advanced analytics, and innovative technology, all driven by the belief that consumer lending can be more personalized and customer centric. The collective mission across our three companies is to simplify and tailor the borrowing experience. By leveraging cutting-edge technology, data, and analytics, we provide fairer access to credit that reflects each customer’s unique circumstances, moving beyond outdated models that rely on averages and backward-looking assessments. Our goal is to create a more inclusive, individualized approach to lending. What We Can Offer You Be part of the World’s Leading Digital Venture Builder Have the opportunity to be a part of and learn from the incredible diverse talent in BC Be exposed to the right mix of challenges, within a culture that promotes continuous learning and development and opportunity to work with Gen AI A fun and open, if a little cricket obsessed, atmosphere – we own the Rajasthan Royals IPL team! 24 days of annual leave &10 public holiday days Private Medical for you and your immediate family & Life Insurance for yourself Important At Blenheim Chalcot, we strive to create an environment where differences are not only accepted but greatly valued; where everyone can make the most of their capabilities and potential. We promote meritocracy, competence and the sharing of ideas and opinions. We are driven by data and believe the diversity, agility, generosity, and curiosity of our people is what sets us apart as an organization. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talent.

Title : Lead Data Scientist/ML Engineer (6+ years & above) Required Technical Skillset : Language : Python , PySpark Framework : Django, Flask, Fastapi, Libraries : NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database : Relational Database(Postgres), NoSQL Database (MongoDB), Good to have -SQL Cloud : AWS cloud platforms Other Tools : Jenkins, Bitbucket, JIRA, Confluence Good to Have: agentic ai, ai agent A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes : - Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. - Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. - Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. - Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker - Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. - Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements and Skills : Mathematics and Statistics : - A strong foundation in mathematics and statistics is essential. - They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills : - Should be proficient in programming languages such as Python . - The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Big Data Technologies : - A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. - They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering : - A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. - They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication and Collaboration : - A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders.

AI Development: Design, develop, and deploy AI algorithms and machine learning models for safety systems, predictive analytics, and process optimization. Implement computer vision and NLP solutions for AR/VR applications and industrial safety scenarios. Data Analysis and Modelling: Collect, preprocess, and analyse large datasets from industrial systems and safety processes. Build predictive models, recommendation systems, and clustering algorithms to solve business challenges. Integration and Deployment: Integrate AI/ML models into existing software systems, AR/VR platforms, and training simulators. Develop APIs and tools to make AI capabilities accessible across platforms. Visualization and Reporting: Create intuitive dashboards and visualizations to present data insights to stakeholders. Generate detailed reports explaining analytical findings and model performance. Research and Innovation: Explore and experiment with new AI technologies and frameworks to improve safety and operational efficiency. Conduct feasibility studies for integrating emerging AI techniques into industrial solutions. Collaboration: Work closely with software developers, AR/VR teams, and business stakeholders to align AI solutions with company goals. Role & responsibilities Preferred candidate profile Experience: 5-7 years in AI, data science, or related fields with proven experience deploying machine learning models in production. Programming Skills: Proficiency in Python, R, or Java with experience using libraries like TensorFlow, PyTorch, Scikit-learn, or Keras. Data Tools: Strong knowledge of SQL/NoSQL databases, Hadoop, Spark, or other big data platforms. AI/ML Expertise: Hands-on experience with supervised, unsupervised, and deep learning techniques, as well as reinforcement learning. Analytics and Visualization: Expertise in tools like Tableau, Power BI, or Matplotlib for data visualization.

Job Summary What you need to know about the role- Data scientists are highly motivated team players with strong analytical skills who specialize in creating, driving and executing initiatives to mitigate fraud on PayPal s platform and improve the experience for PayPal s hundreds of millions of customers, while guaranteeing compliance with regulations. Meet our team Data scientists in the Fraud Risk team are problem solvers suited to approach varied challenges in complex big data environments. Our core goals are to enable seamless and delightful experiences to our customers, while preventing threat actors from accessing customers financial instruments and personal information. As part of our day-to-day job, we are collaborating with a wide variety of partners product owners, data scientists, security experts, legal consults, and engineers, to bring our data science insights to life, impacting the experience and security of millions of customers around the globe. Job Description Your way to impact Data scientists deeply understand PayPal s business objectives, as their impact on PayPal s top and bottom lines is immense. As a data scientist, you will develop key AIML capabilities, tools, and insights with the aim of adapting PayPal s advanced proprietary fraud prevention and experience mechanisms and enabling growth. Your day to day Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. What do you need to bring- Strong proficiency in Python for data analysis, machine learning, and automation. Solid understanding of supervised and unsupervised AI/machine learning methods (e.g., XGBoost, LightGBM, Random Forest, clustering, isolation forests, autoencoders, neural networks, transformer-based architectures). Experience in payment fraud, AML, KYC, or broader risk modeling within fintech or financial institutions. Experience developing and deploying ML models in production using frameworks such as scikit-learn, TensorFlow, PyTorch, or similar. Hands-on experience with LLMs (e.g., OpenAI, LLaMA, Claude, Mistral), including use of prompt engineering, retrieval-augmented generation (RAG), and agentic AI to support internal automation and risk workflows. Ability to work cross-functionally with engineering, product, compliance, and operations teams. Proven track record of translating complex ML insights into business actions or policy decisions. BS/BA degree with 3+ years of related professional experience or master s degree with 1+ years of related experience. Preferred Qualification Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

We are looking for Senior Data Scientist with experience of Managing large portfolios to develop PayPal s Risk strategy within the SMB product solutions team. This portfolio is comprised of PayPal s newest leading-edge SMB payments solutions, as well as customized experiences developed for the company s highest-priority strategic partnerships. Meet our team PayPal s SMB product solutions team fraud Risk team is responsible for assessing and managing buyer and seller side financial risk exposures for SMB products like invoicing, Zettle, Bill Pay, Subscriptions (including identity theft, stolen financials, account takeover, and merchant fraud risk), as well as developing and implementing the policies, treatments, and experiences related to the management of these exposures. The team is also responsible for partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners. Job Description Your way to impact This role will be the end-to-end owner of the Zettle product and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. If you re interested in working with PayPal s most interesting payments experiences, then this is the right team for to join! Your day to day Each Decision Scientist on this team has full ownership of a portfolio of products and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. Works independently and proficiently. Accountable for own results. Reviews are mainly for consultation and sharing ideas Works on multiple assignments simultaneously and in all areas of a standard project in the area of responsibility What do you need to bring BS/BA degree with 4+ years of related professional experience Strong analytical skills -- ability to build quick estimates using back-of-the-envelope analysis, structure (and, if needed, execute) more complex analyses, pull together business cases and forecasts to navigate through multi-dimensional sets of tradeoffs. Enthusiasm for data-driven problem solving within a fast-paced environment is a must. In addition, experience with Microsoft Excel or statistical software, working knowledge of SQL or other relational database languages, and hands-on experience in data analysis involving large data sets are strongly desired Work experience at the management consulting firms is a plus. Polished communication and influence skills - risk decision scientists need to collaborate cross-functionally with product managers, data scientists, business owners, and customers to learn from subject-matter experts, present findings in a clear and concise manner, and reach alignment on how to execute risk strategies. Demonstrated ability to influence groups and effectively resolve conflicts is required. An innate intellectual curiosity, and a willingness to build awareness of current payments industry and risk management best practices. PayPal is constantly innovating by introducing new products and entering new markets, so successful risk analysts on this team must quickly get up speed on new content areas. You will be expected to become an expert in your specific domain. Can-do attitude, team player, energetic personality, ability to work well under pressure in a fast-paced and constantly changing environment to meet deadlines. The successful risk analyst is a self-starter who has the resilience to learn from their mistakes and reach their true potential. Identify typical problems and issues during normal course of work and take proactive actions to solve them with minimum guidance. Recommends changes to policies and establishes procedures that affect immediate organization(s). Exercises discretion in resolving a variety of issues in imaginative as well as practical ways. Impact of decision has moderate to large reach Offers insight for and contributes to improving existing technology, tools, processes, and business solutions. Adds value to brainstorming sessions Focuses primarily on how to achieve overall analytic objectives of a project with speed and quality. Suggests ideas for operational plans and objectives Clear subject matter expert within group / geography Works independently and proficiently on multiple assignments simultaneously with speed and quality Manage junior decision/data scientists.

Job Summary What you need to know about the role- In this role, you will be required to develop an extensive knowledge of PayPal s overall Business and will work with large quantities of data to develop deep actionable insights that shape the thinking of senior leaders and our cross-functional partners. We are looking for a talented, ambitious, versatile, and self-motivated, data scientist to drive a last mile strategy solution focusing on value driven outcome. Meet our team PayPal s Global SMB Portfolio Analytics team provides the connecting fiber between Strategy, Go-To-Market, Product, and Marketing teams. We collaborate closely with senior leadership to deliver analytical insights, perform merchant segmentation, drive global initiatives, and develop self-serve tools to empower our teams and enhance decision-making. Job Description Your way to impact You believe in data-driven decisions and use data to answer business questions You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance You are curious and inquisitive you love digging into data and uncovering insights You can structure complex problems in simple terms. Be an independent thinker, able to work autonomously on projects with complexity both on the technical side and on the business implications side Your day to day Develop a deep understanding of PayPal s overall key strategic initiatives of the SMB business. Identify key business levers, establish cause & effect, perform analysis, and communicate key findings to our main business stakeholders to facilitate data-driven decision making. Synthesizing large volumes of data with attention to granular details to discover new opportunities to grow and optimize the business using state-of-the-art tools and techniques. Build exec-facing insights, reports, and dashboards to track and present the progress of its highest-priority initiatives and present findings and recommendations to senior-level stakeholders Drive automation of repetitive process and build and deliver self-serve tools to empower Business stakeholders. What do you need to bring- Data-driven mindset, with a degree in a quantitative discipline such as Engineering, Computer Science, Statistics, Mathematics or Economics. At least 4 years of relevant work experience in analysing large, multi-dimensional data sets and synthesizing data insights into actionable recommendations. Strong interpersonal and project management skills, ability to lead cross-functionally. Strong organizational, multi-tasking, and prioritizing skills, sets and meets deadlines Fluent in SQL and Excel, and visualization tools such as Tableau or Looker; experience with a statistical programming language like Python or R is preferred **We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please dont hesitate to apply. Preferred Qualification Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

Job_Description":" Immediate DS Role Requirements Key Skillset Must have supply chain experience with ML , especially in Demand Planning and Retail Merchandise Financial Planning Strong expertise in Time Series Forecasting using: Statistical models: ARIMA , Exponential Smoothing , Prophet ML models: XGBoost , LightGBM , etc. Minimum 1 year of hands-on o9 platform experience Proficient in Python/R and relevant data science libraries Experience in building end-to-end ML pipelines for forecasting Strong understanding of demand drivers and retail planning cycles Excellent communication and cross-functional collaboration skills Experience required: 6+ years for Architects ","

Are you interested in pursuing a career in Data Science and AI with STAAT team in Global wealth management Americas Building deployable machine learning models and embedding it in business workflow Defining AI research problems and criteria for evaluating success Contributing to product design, developing features to enhance the product based on Natural Language techniques Processing massive amounts of structured and unstructured data Researching new machine learning solutions for complex business problems and embedding the models within the business workflow Communicating findings degree in Computer Science or related field strong understanding of probability, statistics, linear algebra and calculus 4+ years experience in developing and NLP Models Expert level proficiency in python 2+ years experience in building NLP models for Sentiment scoring, summarization, abstractions using deep learning, transfer learning techniques Experience in dealing with large-scale unstructured text data Experience in machine learning packages ML experience with different supervised and unsupervised learning algorithms knowledge of a variety of machine learning techniques such as classification, clustering, optimization, Random Forest, PCA, XgBoost, natural language processing, deep neural network, etc good understanding of mathematical underpinning and their realworld advantages/drawbacks hands on experience of using programming languages (Python, R, SQL, etc.) to manipulate data, develop models and derive insights hands on experience of database and analytical technologies in the industry, such as Greenplum, DB2, Dataiku, Hadoop, etc hands-on experience deploying analytical models to solve business problems ability to develop experimental and analytical plans for data modeling processes and A/B testing UBS is the world s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors..

Medables mission is to get effective therapies to patients faster. We provide an end-to-end, cloud-based platform with a flexible suite of tools that allows patients, healthcare providers, clinical research organizations and pharmaceutical sponsors to work together as a team in clinical trials. Our solutions enable more efficient clinical research, more effective healthcare delivery, and more accurate precision and predictive medicine. Our target audiences are patients, providers, principal investigators, and innovators who work in healthcare and life sciences. Our vision is to accelerate the path to human discovery and medical cures. We are passionate about driving innovation and empowering consumers. We are proactive, collaborative, self-motivated learners, committed, bold and tenacious. We are dedicated to making this world a healthier place. 1. Responsibilities Develop and integrate algorithms for data transfers, compliance reports and other analyses that are useful for measuring the performance and/or delivering a successful clinical trial Present information in a statistically valid and impactful way using data visualization techniques and tools such as R Shiny, Looker and SpotFire Represent the Data Science team in internal and external meetings to discuss data transfer and report requirements Support Data Science process improvement activities under the guidance of the Senior Data Scientists Other duties as assigned 2. Experience 2+ years working in Data Science, Statistics or Programming role or a combination of education and experience 3. Skills Highly analytical with a strength for analysis, math and statistics Critical thinking and problem-solving skills Experience in data processing and mining Analytical mind and business acumen Problem-solving aptitude Excellent communication and presentation skills Confident in data storytelling Knowledge of the drug development industry and the role data plays in clinical trials R programming language, Python, SQL, SAS required 4. Education, Certifications, Licenses Bachelor s degree in Mathematics, Statistics, Data Science or related field 5. Travel Requirements As required At Medable, we believe that our team of Medaballers is our greatest asset. That is why we are committed to your personal and professional well-being. Our rewards are more than just benefits - they demonstrate our commitment to providing an inclusive, healthy and rewarding experience for all our team members. Flexible Work Remote from the start, we believe in a flexible employee experience Compensation Competitive base salaries Annual performance-based bonus Stock options for employees, aligning personal achievements to Medables success Health and Wellness Comprehensive medical, dental, and vision insurance coverage Carrot Fertility Program Health Saving Accounts (HSA) and Flexible Spending Accounts (FSA) Wellness program (Mental, Physical and Financial) Recognition Peer-to-peer recognition program, celebrating achievements and milestones Community Involvement Volunteer time off to support causes you care about Medable is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or would like to request an accommodation due to a disability, please contact us at hr@medable.com .

About Us. We are one of India’s most exciting & fast-growing mobile gaming companies. Founded in 2014, and creating a global mobile gaming landscape in partnership with Modern Times Group (MTG), our Vision is to create simple, impactful casual game experiences at a massive scale. Since our inception, we have built a worldwide network of chart-topping games, and powerful tech & analytics infrastructure to turbocharge their growth. Our product portfolio consists of evergreen hits like Daily Themed Crossword, WordTrip, WordJam, WordWars, WordTrek, TileMatch and Jigsaw. Visit us at www.playsimple.in to know more.. Role: Senior Data Scientist / Lead Data Scientist. Position Summary. We’re looking for Data Scientists to join our Central Analytics team. It’s a fast-paced, high-adrenaline job, with plenty to learn. If you enjoy crunching numbers, are never satisfied with the products around you, and have always wanted to make things better than the best, you’ll love this job.. What’s required of you. You will work closely with product leaders as a data-driven advisor and partner on strategic issues.. Will work collaboratively with game teams to deliver actionable insights into our games to further increase user acquisition, engagement and. monetization.. Will proactively perform a wide range of analyses to identify trends, issues, and opportunities across games help us continue to improve gameplay.. Will answer business-related questions through exploratory data analyses and ad-hoc reporting.. Requirements. Tech/M. Hands on experience in Python/Spark for data crunching, data visualization and machine learning.. SQL skills: Experience querying large, complex datasets from a data lake/warehouse.. Ability to execute research projects, and generate practical results and recommendations.. The candidate should enjoy both working with people and undertaking rigorous statistical analyses.. Knowledge of Deep Learning is highly desirable. Show more Show less

Date: Jun 5, 2025. Company: Zelestra. Location. Gurugram, India. About Us. Zelestra (formerly Solarpack) is a multinational company fully focused on multi-technology renewables with a vertically integrated business model focused large-scale renewable projects in rapidly growing markets across Europe, North America, Latin America, Asia, and Africa. Headquartered in Spain, Zelestra has more than 1000 employees worldwide and is backed by EQT, one of three largest funds in the world with $200B in assets.. One solution doesn’t fit all, especially in energy. We’re on a journey alongside our clients, assisting them in achieving their decarbonization goals. We are committed to developing tailored-made solutions by analyzing power market challenges and co-creating structured products based on customer insights.. One of the top 10 sellers of clean energy to corporates in the world, according to Bloomberg NEF, we are committed to tailored solutions to meet customer needs.. At Zelestra we aim to be a solid and solvent company, capable of executing quality and valuable projects for the society and the environment. Therefore, we maintain a firm commitment to contribute directly to the social development of the communities and markets in which we operate, not only through the creation of economic value, but also through the generation of quality employment and through the social projects we promote.. In the efforts of supporting business with innovative digital solutions, we want to recruit an experienced and dynamic Engineer.. Mission. We are looking for a motivated Junior Data Scientist to join our dynamic team, working on developing advanced Asset Performance Management solutions for solar plants and wind farms.. The ideal candidate will have hands-on experience in building time-series forecasting models, particularly in the context of renewable energy. You will work closely with our data scientists and engineers to deploy data-driven solutions, focusing on asset performance optimization, cloud tracking using image data, and leveraging large language models (LLM) for innovative solutions. If you’re passionate about data science and sustainability, we’d love to hear from you.. Responsibilities. Model Development & Analysis: Build, test, and deploy time-series models for solar and wind energy forecasting; develop asset performance models to predict equipment health and maintenance; collaborate with senior scientists to enhance model accuracy.. LLM and Image-Based Modelling: Use large language models for asset management solutions; create visualization models from satellite/drone imagery to optimize solar plant performance.. Data Visualization & Reporting: Develop clear visualizations and dashboards (using tools like Amazon QuickSight and PowerBI) to communicate insights and track renewable energy asset metrics.. Data Management & Collaboration: Handle large IoT datasets from renewable assets stored on cloud platforms (AWS S3, Azure Blob); maintain version control with Git/GitHub.. Model Deployment & Monitoring: Work with engineers to deploy models on cloud infrastructure (AWS, Azure); establish monitoring pipelines for ongoing model performance and updates.. Experience. Job Requirements. 0-2 years as a data scientist or related role, preferably with time-series modeling experience.. Practical skills in Python, R, or similar programming languages.. Technical Skills. Proficient in building and deploying time-series forecasting models.. Experienced with data visualization tools such as Power BI, Tableau, or equivalent.. Familiar with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.. Skilled in Git and version control for collaborative projects.. Cloud & Infrastructure. Experience with cloud platforms like AWS and Azure for data storage and processing.. Knowledge of cloud data lakes/data warehouses (AWS S3, Azure Blob Storage).. Collaboration & Communication. Ability to collaborate effectively with cross-functional teams, including engineers and data scientists.. Strong communication skills to translate technical findings into business strategies.. What We Offer. Career opportunities and professional development in a growing multinational company with a team highly qualified.. Flexible compensation.. Full working day.. Remote work 2 days a week.. Zelestra celebrates the diversity of thought and experience that comes from a variety of backgrounds including, among others, gender, age, ethnicity... Our mission is to contribute to a fairer and more equitable society.. JR2212. Show more Show less

Job Summary. ServCrust is a rapidly growing technology startup with the vision to revolutionize India's infrastructure. by integrating digitization and technology throughout the lifecycle of infrastructure projects.. About The Role. As a Data Science Engineer, you will lead data-driven decision-making across the organization. Your. responsibilities will include designing and implementing advanced machine learning models, analyzing. complex datasets, and delivering actionable insights to various stakeholders. You will work closely with. cross-functional teams to tackle challenging business problems and drive innovation using advanced. analytics techniques.. Responsibilities. Collaborate with strategy, data engineering, and marketing teams to understand and address business requirements through advanced machine learning and statistical models.. Analyze large spatiotemporal datasets to identify patterns and trends, providing insights for business decision-making.. Design and implement algorithms for predictive and causal modeling.. Evaluate and fine-tune model performance.. Communicate recommendations based on insights to both technical and non-technical stakeholders.. Requirements. A Ph.D. in computer science, statistics, or a related field. 5+ years of experience in data science. Experience in geospatial data science is an added advantage. Proficiency in Python (Pandas, Numpy, Sci-Kit Learn, PyTorch, StatsModels, Matplotlib, and Seaborn); experience with GeoPandas and Shapely is an added advantage. Strong communication and presentation skills. Show more Show less

The Associate Data Scientist will be responsible for analyzing large amounts of data and generating insights that will inform business decisions. This role will work closely with cross-functional teams to develop predictive models, analyze data, and create visualizations to communicate findings. The ideal candidate will be highly analytical, detail-oriented, and have a solid understanding of statistical methods. Major Responsibilites Work with cross-functional teams to identify and answer key business questions through data analysis and modeling Develop and implement predictive models using statistical and machine learning techniques Analyze data using tools such as Python, R, or SQL to identify trends and patterns Create data visualizations and reports to communicate findings to stakeholders Continuously monitor and refine models to ensure accuracy and effectiveness Collaborate with other data scientists and analysts to share knowledge and best practices Skills Algorithms Applied Mathematics Computer Science Python (Programming Language) Machine Learning Natural Language Processing (NLP) SciPy SQL Programming Language) Statistics Data Science Abilities Analytical and problem-solving skills ability Experience in statistical analysis and machine learning techniques Ability to work with large and complex data sets Knowledge of programming languages such as Python or R Understanding of database concepts and data management Ability to work independently and as part of a team Good communication and interpersonal skills Education & Experience Bachelor s degree in Computer Science, Statistics, Mathematics, or related field 1+ years of experience in data analysis or related field Lightcast is a global leader in labor market insights with headquarters in Moscow (ID) and Boston (MA) and offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.

The Senior Data Scientist role is part of the Territory Planning & Analytics (TP&A) team in GSSO. The TP&A team is focused on designing the optimal territory investment, design and alignment strategy to maximize Sales (and Services) productivity. This is an internal consulting team that partners with Gartner s sales leaders to determine where, when, and how the company should direct its substantial investment in incremental sales professionals. The individual in this role will collaborate with sales leaders to guide strategic investment and go-to-market decisions at regional and global levels. What you will do: Develop State of the art ML models that will help shape investment strategy for our business. Continuous monitoring and evaluation of model performance and metrics. Build and incorporate LLMs/RAG for simplifying user s experience. Be responsible for high quality data science solutions with respect to accuracy and coverage. Be accountable for solutions scalability, stability, and business adoption Responsible for maintaining proper documentation and further code-reusability principles Responsible for ownership of algorithms and its enhancements/optimizations as per business requirement What you will need: BS/MS/PhD in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on ML/AI, Information Retrieval a plus) 5+ years experience in data science methodologies as applied to live initiatives or software development Minimum 4+ years of experience in python coding and statistical analysis Minimum 2 years working experience in several of the following: State of the art Machine Learning and Predictive modelling (Must have) User behaviour modelling (Must have). Data analytics with multi-dimensional data (Must have) Text mining and Natural Language Processing (Good to have) Generative models (Good to have) Strong working knowledge of Lean product principles, software development lifecycle, and machine learning life cycle. Ability to implement latest ML research to improve our current algorithms Experience with cloud computing services such as AWS or Azure ML Experience and proficiency with Python, machine learning tools (eg, scikit-learn, spacy, nltk), statistical packages (eg, Scipy), SQL/relational databases (eg, Oracle) and NoSQL databases (eg, MongoDB, graph database), distributed machine learning (spark), Linux and shell scripting Practical, intuitive problem solver with a demonstrated ability to translate business objectives into actionable data science tasks and translate quantitative analysis into actionable business strategies What you will get: Competitive salary, generous paid time off policy, charity match program Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more! Collaborative, team-oriented culture that embraces diversity Professional development and unlimited growth opportunities

This role provides an exciting opportunity to be at the forefront of AI innovation, contributing to the development and implementation of solutions that push the boundaries of technology. If you are passionate about AI, thrive in a collaborative environment, and enjoy driving impactful projects, this position offers a platform for creativity and professional growth. Join us in shaping the future of AI applications Responsibilities: Cross-Functional Collaboration: Collaborate seamlessly with Engineering, Product, and Operations teams to conceptualize, design, and construct AI systems for diverse applications, including Email Suites, Conversational chatbots, and various NLP and ML use cases. Innovative Model Development: Lead the development of inventive strategies and models, ensuring practical operationalization of AI solutions in alignment with organizational goals. Ideation and Analysis: Generate ideas for exploratory analysis, actively shaping the trajectory of future projects. Provide insightful recommendations for strategic actions based on data-driven insights. Rapid Prototyping and Product Discussions: Drive the rapid prototyping of solutions, actively participating in discussions related to product and feature development. Dashboard Creation and Reporting: Develop dashboards and comprehensive documentation to effectively communicate results. Regularly monitor key data metrics, facilitating informed decision-making. Integration with Production Systems: Collaborate closely with software engineers to deploy and integrate data models into production systems. Ensure scalability, reliability, and efficiency of integrated solutions. Business Metrics Identification: Identify and analyze key business metrics, offering strategic insights. Recommend product features based on the identified metrics to enhance overall product functionality. Skills Exceptional quantitative and problem-solving skills - capable of tackling complex data-driven challenges and formulating effective solutions. Solid understanding of natural language processing (NLP) - Fundamentals, including techniques such as named entity recognition (NER), topic modeling, and sentiment analysis. Proven proficiency - In essential data science libraries, including Pandas, Numpy, SciPy, and Scikit-Learn, for data manipulation, analysis, and modeling. In-depth expertise in Python programming - Focus on data analysis, model building, and algorithmic implementation. Experience with distributed computing frameworks - Hadoop or Spark, for handling large-scale data processing and machine learning tasks. Comprehensive understanding - Supervised and unsupervised machine learning techniques, including decision trees, random forests, boosting algorithms, and clustering methods. Experience and Qualifications Masters or Bachelors degree in Machine Learning/Data Science, Applied Statistics, Mathematics, or Engineering Minimum 8+ years of relevant experience with a proven track record of developing ML solutions.

It's a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you 5- 7years of experience required Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have) Analytical Techniques and Technology Logical thinking and problem solving Strong communication skills Stakeholder Management Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact Statistical Modelling and experience of applying data science into client problems.

It s a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you 2- 4 years of experience required Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have) Analytical Techniques and Technology Logical thinking and problem solving Strong communication skills Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact Statistical Modelling and experience of applying data science into client problems.

Role : Data Scientist with ML Knowledge. Experience : 3-4 years. Skill Set : Data Science Machine Learning Data Modelling and Statistical Analysis Experience in Python , DBs and ML packages Experience in Flask API , Cloud services (Azure, AWS, Open AI , Gemini Flash) Experience in version control and collaborating with development teams Knowledge of Deep Learning Frameworks(Pytorch / TensorFlow etc) Responsibility Sanitize, analyze, and preprocess structured and unstructured data using tools like Pandas, NumPy, SQL, and Spark. Implement ML algorithms using Python and libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost.Perform feature engineering , model tuning, and validation to optimize model performance. Develop dashboards and reports using tools like Power BI, Tableau , or Streamlit for stakeholder communication. Continuously monitor and improve the performance of deployed models. Stay updated with the latest trends in ML/AI and bring innovative ideas to the table.

Should have exp with Agen c frameworks like Crew AI, Lang, graph, Swarm AI etc. Must have contributed significantly to the development of at least 2 Gen AI projects. Must have worked with mul ple Gen AI models including GPT, Claude, Qwen, Lama etc.

About: Newton School has formed a powerful partnership to drive transformation in the world of technology and education. Newton School, dedicated to bridging the employability gap, has partnered with Rishihood University, Sonipat, India's first impact university, and Ajeenkya DY Patil University, Pune. Together, we will be revolutionizing education, empowering students, and shaping the future of technology. With a team of experienced professionals and renowned investors, we are united in our mission to solve the employability challenge and make a lasting impact on society. Key Responsibilities Teach Applied AI/ML: Design and deliver practical, project-based courses in AI/ML (e.g., Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, CV, ML Ops, GenAI). Develop Industry-Relevant Curriculum: Help design and update the AI/ML curriculum to reflect current industry tools, techniques, and best practices, incorporating your own professional experience and case studies. Mentor Student Projects: Guide students through hands-on AI/ML projects, providing technical direction, code reviews, and feedback based on industry standards. Guide & Mentor Students: Advise students on developing practical skills, understanding career paths in AI/ML, and preparing for internships and job placements. Stay Current: Keep your expertise sharp on the latest AI/ML trends and technologies, bringing that knowledge into the classroom. Collaborate: Work closely with other industry-expert faculty and staff to create a unified and effective learning experience. Assess Practical Skills: Create and evaluate assignments, projects, and assessments focused on measuring practical application and understanding. Required Qualifications & Experience Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, or a similar field. (A PhD is valued but not required.) Minimum 2-5 years of direct, hands-on professional experience in the tech industry as an AI/ML Engineer, Data Scientist, Research Scientist, or similar role involving significant AI/ML development and deployment. Proven Industry Track Record: Demonstrable experience building, training, and deploying machine learning models (including deep learning) to solve real-world problems. Deep AI/ML Understanding: Strong grasp of core ML algorithms (classical & deep learning - CNNs, RNNs, Transformers), underlying theory, model evaluation, statistics, and current research/industry trends. Passion for Teaching/Mentoring: Clear ability and enthusiasm for explaining complex technical topics and guiding others. Experience in corporate training, mentoring junior team members, leading workshops, creating technical content, or supervising projects is highly relevant. (Formal academic teaching experience is not a prerequisite.) Required Skills Technical : Expert-level Python programming. Proficiency with data science libraries (Pandas, NumPy, Scikit-learn). Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch). Strong SQL and data handling skills. Understanding of ML Ops practices and tools (Git, Docker, Cloud platforms - AWS/GCP/Azure). Knowledge of key AI areas (NLP, Computer Vision, Generative AI/LLMs). Communication: Excellent ability to explain technical concepts clearly to students. Strong mentoring skills. Collaboration: Team-oriented approach. Passion: Genuine interest in education and student success within an innovative, practical learning environment. Good-to-Have Prior teaching experience at the undergraduate or graduate level. Familiarity with modern teaching methodologies and academic tools. Perks & Benefits Competitive salary packages aligned with industry standards. Access to state-of-the-art labs and classroom facilities. Contribution to cutting-edge academic work in collaboration with the Newton School of Technology and Rishihood University.

Dear Candidate, Greetings from TCS !!! TCS is hiring for Data Scientist, please find the below JD.. Experience range – 6 to 8 years Location - Pan india Skills Required - Python, PySpark , MLflow , Databricks AutoML Predictive Modelling ( Classification , Clustering , Regression , timeseries and NLP) Cloud platform (Azure/AWS) , Delta Lake , Unity Catalog Role& Responsibilities – Design and deploy predictive models (e.g., forecasting, churn analysis, fraud detection) using Python/SQL, Spark MLlib, and Databricks ML Build end-to-end ML pipelines (data ingestion → feature engineering → model training → deployment) on Databricks Lakehouse Optimize model performance via hyperparameter tuning, AutoML, and MLflow tracking Collaborate with engineering teams to operationalize models (batch/real-time) using Databricks Jobs or REST APIs Implement Delta Lake for scalable, ACID-compliant data workflows. Enable CI/CD for ML pipelines using Databricks Repos and GitHub Actions Troubleshoot issues in Spark Jobs and Databricks Environment.

Senior Associate/Assistant Manager - APAC TPM OPC & Data Management Support Position Purpose To be the 1st LOD for APAC Third Party Management (TPM) team; Responsible for managing the risks related to procurement and outsourcing information and measuring and managing of operational risks that impact all APAC TPM functions, covering APAC TPRM, Procurement and Governance, Transformation, and data management. Responsibilities Direct Responsibilities Responsible for the Risk and Control Self-Assessment (RCSA) process to ensure accurate controls with associated risks are defined and implemented. Identification of L1 controls requirement of each Generic Control Plan (GCP). Perform L1 controls on APAC TPM team. Assist in organization and management of procedures, ensure that regional and local procedures and logged and annually checked Define and execute the control testing, present the controls result to Senior Management and ensure the implementation of remediation actions Manage the potential and historical incidents collect, report in Group database, analyse, follow-up and perform controls on incident collection process. Follow up of recommendations closure including IG and external auditor recommendations involving APAC TPM team. Support the data and reporting need of APAC TPM functions Contributing Responsibilities Contribute to the implementation of operational permanent control policies and procedures in day-to-day business activities, such as Control Plan Direct contribution to BNPP operational permanent control framework Comply with regulatory requirements and internal guidelines Contribute to the investigation/coordination on other control issues. Handle ad hoc queries as requested by Management Service level agreement (SLA) setup and renewal for procurement services Technical Behavioral Competencies Control oriented background with experience in control testing Experience in risk assessment and the design of control plans to mitigate the identified risk Driving investigation and leading small enhancement projects Good presentation skills Good organisation skills Able to work under pressure and with minimal supervision Excellent communication skills and ability to foster good working relationships including outside of TPM. Excellent skills in Excel/ Word/ Powerpoint Knowledge of PowerBI or other similar tool is a plus Specific Qualifications (if required) 3+ years of post experience in banking industry, ideally in control/risk management functions. Fluent in English Skills Referential Behavioural Skills : (Please select up to 4 skills) Decision Making Attention to detail / rigor Ability to deliver / Results driven Critical thinking Transversal Skills: (Please select up to 5 skills) Analytical Ability Ability to understand, explain and support change Education Level: Bachelor Degree or equivalent Experience Level At least 3 years Other/Specific Qualifications (if required)

Job Description Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. Applies scientific methods to analyse and solve software engineering problems. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Job Description - Grade Specific Is highly respected, experienced and trusted. Masters all phases of the software development lifecycle and applies innovation and industrialization. Shows a clear dedication and commitment to business objectives and responsibilities and to the group as a whole. Operates with no supervision in highly complex environments and takes responsibility for a substantial aspect of Capgemini’s activity. Is able to manage difficult and complex situations calmly and professionally. Considers ‘the bigger picture’ when making decisions and demonstrates a clear understanding of commercial and negotiating principles in less-easy situations. Focuses on developing long term partnerships with clients. Demonstrates leadership that balances business, technical and people objectives. Plays a significant part in the recruitment and development of people. Skills (competencies) Verbal Communication

Associate Level 1 / Senior Associate - Data Scientist (Tabular & Text) - GM Data & AI Lab Position Purpose Your work will span across multiple areas, including predictive modelling, automation and process optimization. We use AI to discover patterns, classify information, and predict likelihoods. Our team works on building, refining, testing, and deploying these models to support various business use cases, ultimately driving business value and innovation. As a Data Scientist on our team, you can expect to work on challenging projects, collaborate with stakeholders to identify business problems, and have the opportunity to learn and grow with our team. A typical day may involve working on model development, meeting with stakeholders to discuss project requirements/updates, and brainstorming/debugging with colleagues on various technical aspects. At the Lab, we're passionate about staying at the forefront of AI research, bridging the gap between research industry to drive innovation and to make a real impact on our businesses. Responsibilities 1. Develop and maintain AI models from inception to deployment, including data collection, analysis, feature engineering, model development, evaluation, and monitoring. 2. Identify areas for model improvement through independent research and analysis, and develop recommendations for updates and enhancements. 3. Working with expert colleagues and business representatives to examine the results and keep models grounded in reality. 4. Documenting each step of the development and informing decision makers by presenting them options and results. 5. Ensure the integrity and security of data. 6. Provide support for production models delivered by the Mumbai team but potentially as well for other models to any of the Asian/EU/US time zones. Technical Behavioral Competencies 1. Qualifications: Bachelors / Master / PhD degree in Computer Science / Data Science / Mathematics / Statistics / relevant STEM field. 2. Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning, Probability Theory and Linear Algebra. 3. Experience with Machine Learning Deep Learning concepts including data representations, neural network architectures, custom loss functions. 4. Proven track record of building AI model from scratch or finetuning on large models for Tabular or/and Textual data. 5. Programming skillsin Pythonand knowledge of common numerical and machine-learning packages (like NumPy,scikit-learn, pandas,PyTorch, transformers, langchain). 6. Ability to write clear and concise code in python. 7. Intellectually curious and willing to learn challenging concepts daily. 8. Knowledge of current Machine Learning/Artificial Intelligence literature. Skills Referential Behavioural Skills : Ability to collaborate / Teamwork Critical thinking Communication skills - oral written Attention to detail / rigor Transversal Skills: Analytical Ability Education Level: Bachelor Degree or equivalent Experience Level At least 1 year