1172 Probability Jobs - Page 31

Embark on a transformative journey as a Risk Model Validation at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. As a part of Risk Model Validation, you would be reviewing the stress testing models in the Trading Risk Independent Validation team of the bank. To be a successful Risk Model Validation you should have experience with: Academics / Education - postgraduate in a quantitative discipline, for example mathematics, physics, quantitative finance, or quantitative field. Experience in mathematical skills, including in probability, statistics, differential and integral calculus, linear algebra, stochastic calculus, and numerical methods; Strong Experience on programming skills in languages / packages such as Python, C++, or Matlab. Some Other Highly Valued Skills May Include The ideal candidate will have proven ability to understand several traded risk modelling approaches, including models for VaR, PFE and initial margin, and their strengths and weaknesses. Exposure to the knowledge around the financial products pricing and fundamentals is a plus. Exposure to the stress testing frameworks like IST or CCAR would be an added advantage. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. The role is based out of Noida location. Purpose of the role To validate and approve models for specific usages both at inception and on a periodic basis, and of model changes, as well as conducting annual reviews. Accountabilities Validation of models for their intended use and scope, commensurate with the complexity and materiality of the models. Approval or rejection of a model or usage based on assessment of the model’s conceptual soundness, performance under intended use and the clarity of the documentation of the model’s inherent risks, limitations and weaknesses. Assessment of any compensating controls used to mitigate Model risk. Documentation of validation findings and recommendations in clear and concise reports, providing actionable insights for model improvement. Evaluation of the coherence of model interactions and quality of Large Model Framework aggregate results that generate output for regulatory submissions or management decision making and planning. Design of the framework and methodology to measure and, where possible, quantify model risk, including the assessment of framework level uncertainty. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Back to nav Share job X(Opens in new tab or window) Facebook(Opens in new tab or window) LinkedIn(Opens in new tab or window) Show more Show less

As a Quantitative R&D Engineer, you’ll join the team responsible for designing, validating, and scaling trading strategies that interact directly with crypto markets. You’ll work at the intersection of statistics, code, and markets — exploring data, prototyping logic, and building tools that convert ideas into capital allocation engines. 🔍 What You’ll Work On Analyze on-chain and market data to identify inefficiencies and behavioural patterns. Develop and prototype systematic trading strategies using statistical and ML-based techniques. Contribute to signal research, backtesting infrastructure, and strategy evaluation frameworks. Monitor and interpret DeFi protocol mechanics (AMMs, perps, lending markets) for alpha generation. Collaborate with engineers to turn research into production-grade, automated trading systems. Explore MEV, cross-chain arbitrage, and predictive modelling for on-chain behaviour. ✅ Who You Are You’re curious, analytical, and eager to work where code meets markets. You enjoy designing systems that act autonomously and uncover edge in complex, noisy data. You’re comfortable working in an experimental, high-ownership environment. Ideal Traits Proficiency in Python and experience working with data (Pandas, NumPy, etc.) Understanding of probability, statistics, or ML concepts. Strong interest in markets, trading, or algorithmic systems. Self-driven and comfortable with ambiguity, iteration, and fast learning cycles. 📚 Bonus Points For Experience with backtesting, feature engineering, or strategy evaluation. Familiarity with crypto primitives (AMMs, perps, mempools, MEV, etc.) Projects or research involving trading bots, alpha signals, or data modelling. Use of on-chain analytics tools (Dune, The Graph, Nansen, etc.) Participation in hackathons, quant competitions, or open-source work. 🎁 What You’ll Gain Work on live systems that deploy real capital in 24/7 crypto markets. Access to proprietary infrastructure, backtesting tools, and strategy libraries. Mentorship from experienced quants, traders, and DeFi engineers. Freedom to explore, test, and scale your ideas into real-world performance. A high-trust, fast-moving team focused on pushing boundaries. Skills:- Python, pandas, Blockchain, GenAI and Generative AI Show more Show less

Management Level G Equiniti is a leading international provider of shareholder, pension, remediation, and credit technology. With over 6000 employees, it supports 37 million people in 120 countries. EQ India began its operations in 2014 as a Global India Captive Centre for Equiniti, a leading fintech company specialising in shareholder management. Within a decade, EQ India strengthened its operations and transformed from being a capability centre to a Global Competency Centre, to support EQ's growth story worldwide. EQ’s vision is to be the leading global share registrar, offering complementary services to its client base and our values set the core foundations to our success. We are TRUSTED to deliver on our commitments, COMMERCIAL in building long term value, COLLABORATIVE in our approach and we IMPROVE by continually enhancing our skills and services. There has never been a better time to join EQ. Core Duties/Responsibilities: The successful candidate will be responsible for the following: Responsible for risk identification, assessment, control evaluation/testing, reporting and communicating findings across multiple stakeholders. Conduct comprehensive risk assessments based upon reviews of internal processes, systems, and controls. Analyze various sources of information, identify trends and determine the potential impact and probability of risks to the business. Articulating risk severity and working with the business to determine prioritized mitigating strategies to mitigate risk. Determine the design and performance effectiveness of existing controls and identify control opportunities through monitoring and testing. Work with the business to seek tactical and/or strategic solutions to improve control design and performance effectiveness and to reduce risk exposure. Have an understanding of regulatory and compliance requirements for the business. Monitor and analyze reported events and determine how they impact the risk environment within the business. Uphold the Risk Management Policy, Handbook, and related procedures ensuring Group and BRC requirements are being met. Preparing or producing reporting focussed on communicating risk and control performance, policy adherence, making recommendations to various levels of management, and presenting findings in a clear and concise manner. Establishing and strengthening relationships in the business and acting as a trusted point of contact within the BRC team. Grow knowledge of the business and product offering across Shareholder Services. Question the status quo in order to identify issues and improvements Lead/undertake “read-across analysis” taken from internal and external audits or exams and relevant risk related findings across the business. Lead/undertake reviews for existing and potentially new risks, and if deemed necessary, thematic deep dives of risk coverage and effectiveness across the division. Support activity and engage across the 3 Lines of Defense. Govern actions to ensure progression to plan and take suitable action to escalate where actions are not progressing, or activity is not sufficiently demonstrative as effective risk remediation. Assesses evidence and challenge risk remediating actions to ensure risk mitigation activity completed as expected prior to closure. Govern the risk system of record to ensure records meet business requirements. Work closely with the broader BRC team. Foster a positive risk and control culture and contribute to the growth of the business. Skills, Capabilities And Attributes The successful candidate will demonstrate the following experience, skills and behaviours: 5-10 years in the Finance industry and risk management, and an understanding of Shareholder Services preferred. Risk Management experience is a must. Experience in specific risk types is a plus. E.g., Fraud, Data Protection, BCP, etc.) Understanding of risk frameworks, including key concepts (RCSA, Risk Identification, Risk Appetite & Profiling, Risk Metrics/KRIs, etc). Understanding of control frameworks, including control design, standards, testing and performance. Strong analytical and problem-solving skills, including capability to interpret data from various sources. Excellent verbal and written communication skills, with the ability to effectively communicate to diverse recipients. Strong stakeholder development and management skills Ability to interact across the 3 Lines of Defense and other business functions. Ability to manage multiple priorities and deliver risk management activities to established timeframes and at a high standard. Astute problem solver who can identify tactical or strategic solutions. Proven ability to lead and facilitate risk review meetings while setting the benchmark of what “good looks like.” Proficient in Microsoft Office applications (Excel, Word, PPT, etc) and familiar with Risk Management Information Systems. Benefits: Being a permanent member of the team at EQ you will be rewarded by our company benefits, these are just a few of what is on offer: 3 days of additional leaves on & above statutory requirement along with 2 days of voluntary leaves to pursue the CSR initiatives Business related certification expense reimbursement Comprehensive Medical Assurance coverage for dependents & Parents Cab transport for staff working in UK & US shift Accidental & Life cover 3 times of concerned CTC We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. Please note any offer of employment is subject to satisfactory pre-employment screening checks. Show more Show less

Use Your Power for Purpose Pfizer’s Environmental Health and Safety team is essential in upholding the highest safety standards for both patients and colleagues. As a member of this innovative community, you will contribute to delivering excellence, ensuring that Pfizer's medicines reach those who need them most with greater efficiency and safety than ever before. This dedicated team is committed to maintaining superior safety protocols, enabling the swift and secure distribution of our products. By joining us, you become part of a forward-thinking group focused on excellence and innovation, driving the mission to provide safe and effective medicines to patients worldwide. What You Will Achieve In this role, you will: Lead and co-lead high-level projects independently, identifying situations and implementing results. Effectively manage time to meet objectives, forecast, and plan resource requirements for divisional projects. Monitor compliance and Environment, Health & Safety performance, report key metrics, and recommend corrective actions. Assess risks, including their probability, magnitude, and financial impact, and develop cost-effective control alternatives. Provide technical support for site safety and industrial hygiene programs, especially on special capital projects. Interact with Pfizer Legal Groups, including Global Environment, Health & Safety legal, and liaise with regulatory compliance organizations. Offer advice on implementing Pfizer Health & Safety standards, site safety policies, and regulations governing biological safety. Conduct workplace condition assessments to ensure compliance with federal and state occupational safety and health standards. Evaluate the effectiveness of actions taken to prevent personal injuries and provide updates to the site Emergency Plan. Partner with site business functions and external sources to implement improvements, apply skills and discipline knowledge, and make decisions to resolve moderately complex problems. Here Is What You Need (Minimum Requirements) BA/BS with at least 4 years of experience or MBA/MS with at least 2 years of experience or PhD/JD with any years of experience or associate's degree with at least 8 years of experience or high School Diploma (or Equivalent) with at least 10 years of relevant experience Demonstrated working knowledge of local, state, and federal regulatory requirements and guidelines associated with biosafety Prior experience in the biopharmaceutical industry is essential A good understanding of safety and environmental programs and key processes is required Excellent leadership, analysis, judgment, commensurate with position responsibilities, and levels of Pfizer and agency interaction Exceptional interpersonal and negotiation skills Excellent written and communication skills Proficiency in MS Office, including Project Management and Visio Bonus Points If You Have (Preferred Requirements): A Master's degree combined with substantial project management experience Experience managing facility and/or contractor safety programs in a pharmaceutical research or related industry Ability to work effectively in a team environment and independently Strong problem-solving skills and the ability to make decisions in ambiguous situations Experience with regulatory compliance and liaising with regulatory organizations Strong technical support skills for site safety and industrial hygiene programs Work Location Assignment: Hybrid Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Environmental, Health & Safety Show more Show less

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role Anheuser-Busch InBev (AB InBev)’s Supply Analytics is responsible for building competitive differentiated solutions that enhance brewery efficiency through data-driven insights. We optimize processes, reduce waste, and improve productivity by leveraging advanced analytics and AI-driven solutions. As a Data Scientist you will work at the intersection of Conceptualize the analytical solution for the business problem by implementing statistical models and programming techniques. Application of machine learning solutions. Best in class cloud technology & micro-services architecture. Use DevOps best practices that include model serving, data & code versioning. Key tasks & accountabilities Develop and fine-tune Gen AI models to solve business problems, leveraging LLMs, and other advanced AI techniques. Design, implement, and optimize AI-driven solutions that enhance automation, efficiency, and decision-making. Work with cloud-based architectures to deploy and scale AI models efficiently using best-in-class microservices. Apply DevOps and MLOps best practices for model serving, data and code versioning, and continuous integration/deployment. Collaborate with cross-functional teams (engineering, business, and product teams) to translate business needs into AI-driven solutions. Ensure model interpretability, reliability, and performance, continuously improving accuracy and reducing biases. Develop internal tools and utilities to enhance the productivity of the team and streamline workflows. Maintain best coding practices, including proper documentation, testing, logging, and performance monitoring. Stay up to date with the latest advancements in Gen AI, LLMs, and deep learning to incorporate innovative approaches into projects. Qualifications, Experience, Skills Level Of Educational Attainment Required Academic degree in, but not limited to, Bachelors or master's in computer application, Computer science, or any engineering discipline. Previous Work Experience Minimum 3 years of relevant experience. Technical Skills Required Programming Languages: Proficiency in Python. Mathematics and Statistics: Strong understanding of linear algebra, calculus, probability, and statistics. Machine Learning Algorithms: Knowledge of supervised, unsupervised, and reinforcement learning techniques. Natural Language Processing (NLP): Understanding of techniques such as tokenization, POS tagging, named entity recognition, and machine translation. LLMs: Experience with Langchain, inferring from LLMs and fine tuning LLMs for specific tasks, Prompt Engineering. Data Preprocessing: Skills in data cleaning, normalization, augmentation, and handling imbalanced datasets. Database Management: Experience with SQL and NoSQL databases like MongoDB and Redis. Cloud Platforms: Familiarity with Azure and Google Cloud Platform. DevOps: Knowledge of CI/CD pipelines, Docker, Kubernetes. Other Skills Required APIs: Experience with FastAPI or Flask. Software Development: Understanding of software development lifecycle (SDLC) and Agile methodologies. And above all of this, an undying love for beer! We dream big to create future with more cheers. Show more Show less

Gurgaon, Haryana, India AXA XL is the Property & Casualty risk division of AXA, created from the acquisition of XL Catlin in 2018. We partner with mid-sized to multinational clients to take their business further, with more than 30 lines of business to offer solutions for existing and emerging risks. With 9,000+ colleagues based in approximately 30 countries we are able to serve clients in more than 200 countries*. The key purpose of the role is to support the Capital Modelling team in its coding, data transformation and modelling needs . What You’ll Be DOING What will your essential responsibilities include? Develop and maintain the components of Capital Modelling in insurance domain. Develop and maintain loss forecasting risk models for catastrophe risk including terrorism risk. Working in advance R/Python to visualize and understand risk distributions and its impact on of business. Proficiency in development of risk models in R/Python for terrorism/man made catastrophe. Manage using SQL data transformation requirements for catastrophe risk modelling across multiple capital models for our different legal entities. Proficiency in data management in SQL database of outputs from the capital model and enhance reporting capabilities. Contribute to the development of multiple capital models for our different legal entities in our ReMetrica modelling platform using Python. Manage the processing of detailed financial accounting data into a suitable format for entry into our various capital models. General support for division Capital Modelling Team on day to day model development tasks with a particular focus on making current processes more efficient. Other ad-hoc tasks requiring coding expertise. You will report to Senior Delivery Lead- Capital Modelling. What You Will BRING We’re looking for someone who has these abilities and skills: Required Skills And Abilities Highly numerate and analytical with good academic record(preferably IIT/IIIT), Advanced Python, R and SQL coding and algorithms skills Excellent mathematics skills with a good understanding of probability distributions. Basic understanding of copulas would be a plus. Understanding of modeling techniques such as regression, classification and basic frequency severity loss forecasting techniques. Excellent data management and transformation skills. Desired Skills And Abilities Some basic accounting concepts for GAAP/IFRS would be a plus. Curious, inquisitive, innovative and open to new ideas. Excellent attention to detail. Good verbal communication skills. A self-starter with effective organizational skills. Who WE are AXA XL, the P&C and specialty risk division of AXA, is known for solving complex risks. For mid-sized companies, multinationals and even some inspirational individuals we don’t just provide re/insurance, we reinvent it. How? By combining a comprehensive and efficient capital platform, data-driven insights, leading technology, and the best talent in an agile and inclusive workspace, empowered to deliver top client service across all our lines of business − property, casualty, professional, financial lines and specialty. With an innovative and flexible approach to risk solutions, we partner with those who move the world forward. Learn more at axaxl.com What we OFFER Inclusion AXA XL is committed to equal employment opportunity and will consider applicants regardless of gender, sexual orientation, age, ethnicity and origins, marital status, religion, disability, or any other protected characteristic. At AXA XL, we know that an inclusive culture and enables business growth and is critical to our success. That’s why we have made a strategic commitment to attract, develop, advance and retain the most inclusive workforce possible, and create a culture where everyone can bring their full selves to work and reach their highest potential. It’s about helping one another — and our business — to move forward and succeed. Five Business Resource Groups focused on gender, LGBTQ+, ethnicity and origins, disability and inclusion with 20 Chapters around the globe. Robust support for Flexible Working Arrangements Enhanced family-friendly leave benefits Named to the Diversity Best Practices Index Signatory to the UK Women in Finance Charter Learn more at axaxl.com/about-us/inclusion-and-diversity. AXA XL is an Equal Opportunity Employer. Total Rewards AXA XL’s Reward program is designed to take care of what matters most to you, covering the full picture of your health, wellbeing, lifestyle and financial security. It provides competitive compensation and personalized, inclusive benefits that evolve as you do. We’re committed to rewarding your contribution for the long term, so you can be your best self today and look forward to the future with confidence. Sustainability At AXA XL, Sustainability is integral to our business strategy. In an ever-changing world, AXA XL protects what matters most for our clients and communities. We know that sustainability is at the root of a more resilient future. Our 2023-26 Sustainability strategy, called “Roots of resilience”, focuses on protecting natural ecosystems, addressing climate change, and embedding sustainable practices across our operations. Our Pillars Valuing nature: How we impact nature affects how nature impacts us. Resilient ecosystems - the foundation of a sustainable planet and society - are essential to our future. We’re committed to protecting and restoring nature - from mangrove forests to the bees in our backyard - by increasing biodiversity awareness and inspiring clients and colleagues to put nature at the heart of their plans. Addressing climate change: The effects of a changing climate are far-reaching and significant. Unpredictable weather, increasing temperatures, and rising sea levels cause both social inequalities and environmental disruption. We're building a net zero strategy, developing insurance products and services, and mobilizing to advance thought leadership and investment in societal-led solutions. Integrating ESG: All companies have a role to play in building a more resilient future. Incorporating ESG considerations into our internal processes and practices builds resilience from the roots of our business. We’re training our colleagues, engaging our external partners, and evolving our sustainability governance and reporting. AXA Hearts in Action: We have established volunteering and charitable giving programs to help colleagues support causes that matter most to them, known as AXA XL’s “Hearts in Action” programs. These include our Matching Gifts program, Volunteering Leave, and our annual volunteering day - the Global Day of Giving. For more information, please see axaxl.com/sustainability. Show more Show less

Job Title Quality Engineer - DEFOA Job Description Job title: Quality Engineer- DEFOA Your role: Applies sophisticated risk assessment methodologies such as Failure Mode and Effects Analysis (FMEA) and Fault Tree Analysis (FTA) to identify and evaluate intricate potential hazards, meticulously assessing risk severity and probability, and devising comprehensive risk control strategies. Leads the production of Safety/Compliance Engineering documents ensuring accuracy and completeness in documentation and compliance with regulatory standards and company policies. Conducts timely and detailed safety/compliance engineering tasks, including assessing the safety/compliance of designs, analyzing test and performance data, and conducting root cause analysis to identify and resolve issues. Analyzes market feedback and collaborates with cross-functional teams to develop and implement corrective actions and improvements to enhance product safety and compliance. Provides expert guidance and support to organizational units in addressing safety/compliance engineering deficiencies, offering insights and recommendations to optimize processes and mitigate risks. Delivers detailed safety reports and articulates comprehensive risk mitigation strategies to stakeholders, including senior management and regulatory bodies, ensuring clarity in communication and facilitating informed decision-making processes. Navigates intricate regulatory landscapes and emerging industry standards, integrating new knowledge into robust safety protocols to ensure steadfast compliance and uphold operational excellence. Acts as a subject matter expert on safety and compliance matters, providing guidance and support to internal teams and external partners as needed, develops and delivers training programs for internal teams on product safety principles, compliance requirements, and best practices. Contributes to the continuous improvement of safety and compliance processes and methodologies, identifying opportunities for optimization and implementing solutions to drive efficiency and effectiveness. You're the right fit if: (4 x bullets max) Experience- 8+years of industry Experience- prefer candidates from Coil manufacturing experience. Skills- Safety Quality Management. Data Analysis & Interpretation Design for Quality (DFQ) Root Cause Analysis (RCA) CAPA Methodologies Regulatory Requirements Privacy, Safety and Security Risk Assessment Technical Documentation Continuous Improvement Product Quality and Reliability Education- Bachelor's Degree in Electrical or Electronics Engineering (Prefer). Anything else-Good communication skill, Critical Thinking, Quality mindset. How We Work Together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations. Indicate if this role is an office/field/onsite role. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. Learn more about our business. Discover our rich and exciting history. Learn more about our purpose. If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here. Show more Show less

Job Description Very good understanding of Predictive modeling techniques and their application. Knowledge of Credit life cycle Statistics and machine learning techniques. Conducted and applied statistical methodologies including linear regression, logistic regression, ANOVA/ANCOVA, CHAID/CART, cluster analysis. Good understanding of Probability of Default (PD), LGD and EAD modeling technique. Team player and collaboration skills. Programming skills in SAS, GCP, R and PYTHON. Fluency with Excel, PowerPoint and Word Strong written and oral presentation / communication skills – must have the ability to convey complex information simply and clearly Responsibilities Execute analytics special studies and ad hoc analyses Using SAS, GCP, R, Python for model building and model validation Continual enhancement of statistical techniques and their applications in solving business objectives Compile and analyze the results from modeling output and translate into actionable insights Prepare PowerPoint presentations and document preparation for the entire credit risk modeling process Collaborate, Support, Advise and Guide in development of the models Acquire and share deep knowledge of data utilized by the team and its business partners Participate in global conference calls and meetings as needed and manage multiple customer interfaces Evaluate new tools and technologies to improve analytical processes Set own priorities and timelines to accomplish projects (accountability for project deliverables) Qualifications Masters in Mathematics/Statistics/Economics/Engineering or any other related discipline or a track record of performance that demonstrate this ability Practical applications of mathematical modeling, Operations Research and Machine Learning techniques Demonstrated knowledge in credit and/or market risk measurement and management Excellent problem solving, communication, and data presentation skills Proficient with SAS, SQL and GCP Show more Show less

Shard Center Panchkula is seeking a passionate and driven Machine Learning Intern to join our innovative team. This role offers hands-on experience in developing and implementing ML models, data analysis, and real-world problem-solving in a collaborative tech environment. Responsibilities: Assist in building, training, and validating machine learning models Perform data cleaning, preprocessing, and exploratory data analysis Collaborate with the R&D team to develop AI-driven solutions Work on real-time projects related to computer vision, NLP, or predictive analytics Document processes, code, and research findings Stay up to date with the latest machine learning trends and technologies Requirements: Candidates must have an academic background in Information Technology, Computer Science, or a related field Basic knowledge of Python and ML libraries Familiarity with data structures, algorithms, and software development principles Basic understanding of statistics, probability, and linear algebra Good problem-solving skills and a curious mindset Job Type: Full-time Pay: ₹7,000.00 - ₹12,000.00 per month Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

Location: In-office, Koramangala, Bangalore Compensation: INR 9 - 16 LPA Company: At Merlin, we’re reimagining how people interact with the web. As India’s largest AI-powered browser assistant, with over 1 million installs, our mission is to redefine the browsing experience by combining simplicity, speed, and intelligence. We started Merlin with a simple goal: to make AI tools accessible and genuinely useful in everyday online interactions. Our journey is backed by some of the top venture investors like Better Capital and renowned leaders such as the Cofounder and CTO of HubSpot, the CSO of Oyo, and the ex-CPO of Meesho. Featured by Forbes, Wired, and other leading publications, Merlin is fast becoming a household name for intelligent browsing. We’re a small but dedicated team working to push the boundaries of what’s possible in AI-assisted browsing. While there’s still much to do, we’re excited to be on this journey with our growing community of users. Website: getmerlin.in Requirements Technical Expertise Statistics & Probability: Solid understanding of statistical concepts and probability to make informed, data-driven decisions. SQL Proficiency: Skilled at writing complex queries across multiple tables. Understands how the data table works or can pick these up quickly. Data Analysis in Python: Experienced in handling large datasets (millions and billions of rows) with extensive text and metadata, using Python for data analysis Problem Solving & Analytical Thinking Logics and Insights: Strong problem-solving abilities with a natural ability to uncover actionable insights from data. Judgment and Prioritization: Good sense of what matters when analyzing large volumes of data, and an ability to focus on what's most relevant. Diffused Problem Solving: Finds happiness in untangling and solving unclear or ambiguous challenges Customer & Product Centricity Customer Empathy: Ability to chat with customers and find where they are not having a great experience Product Orientation: Ability to understand and create right funnels to figure out which parts of the product create the most friction for the end users Hustle and Grunt Work: Ability to do the grind to help every customer have a great experience and to go deeply into qualitative feedback to unlock insights Mindset & Work Ethic Product Mindset: Understands how data and insights can drive product growth, user engagement, and decision-making High Ownership: Takes full responsibility for tasks and projects, with a commitment to seeing them through to completion. Hardworking and Focused: Willing to invest time and effort into in-depth data analysis, even when tasks are repetitive or boring. Curiosity and Hunger to Learn: Always eager to improve, grow, and expand skillsets. Organized and Detail-Oriented: Keeps work well-structured and easy to follow. Show more Show less

Data Scientist – Roles And Responsibilities We are seeking a skilled Data Scientist to join our team and leverage data to create actionable insights and innovative solutions. The ideal candidate will have strong analytical skills, expertise in statistical modeling, and proficiency in programming and machine learning techniques. You will work closely with cross-functional teams to identify business opportunities, optimize processes, and develop data-driven strategies. Key Responsibilities Data Collection & Preparation: Gather, clean, and preprocess large datasets from various sources to ensure data quality and usability. Exploratory Data Analysis: Perform in-depth analysis to identify trends, patterns, and correlations that inform business decisions. Model Development : Design, build, and deploy machine learning models and statistical algorithms to solve complex problems, such as predictive analytics, classification, or recommendation systems. Data Visualization : Create compelling visualizations and dashboards to communicate insights to stakeholders using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn). Collaboration : Work with team leads, engineers, and business leaders to understand requirements, define key metrics, and translate insights into actionable strategies. Experimentation : Design and analyze A/B tests or other experiments to evaluate the impact of business initiatives. Automation : Develop pipelines and scripts to automate data processing and model deployment. Keep up with advancements in data science, machine learning, and industry trends to implement cutting-edge techniques. Preferred Qualifications Experience with deep learning, natural language processing (NLP), or computer vision. Knowledge of software engineering practices, such as version control (Git) and CI/CD pipelines. Contributions to open-source projects or publications in data science. Technical Skills Proficiency in programming languages like Python Experience with SQL for querying and managing databases. Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with big data tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is a plus. Experience with data visualization tools (e.g., Tableau, Power BI, or Plotly). Strong understanding of statistics, probability, and experimental design Show more Show less

Data Scientist – Roles And Responsibilities We are seeking a skilled Data Scientist to join our team and leverage data to create actionable insights and innovative solutions. The ideal candidate will have strong analytical skills, expertise in statistical modeling, and proficiency in programming and machine learning techniques. You will work closely with cross-functional teams to identify business opportunities, optimize processes, and develop data-driven strategies. Key Responsibilities Data Collection & Preparation: Gather, clean, and preprocess large datasets from various sources to ensure data quality and usability. Exploratory Data Analysis: Perform in-depth analysis to identify trends, patterns, and correlations that inform business decisions. Model Development : Design, build, and deploy machine learning models and statistical algorithms to solve complex problems, such as predictive analytics, classification, or recommendation systems. Data Visualization : Create compelling visualizations and dashboards to communicate insights to stakeholders using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn). Collaboration : Work with team leads, engineers, and business leaders to understand requirements, define key metrics, and translate insights into actionable strategies. Experimentation : Design and analyze A/B tests or other experiments to evaluate the impact of business initiatives. Automation : Develop pipelines and scripts to automate data processing and model deployment. Keep up with advancements in data science, machine learning, and industry trends to implement cutting-edge techniques. Preferred Qualifications Experience with deep learning, natural language processing (NLP), or computer vision. Knowledge of software engineering practices, such as version control (Git) and CI/CD pipelines. Contributions to open-source projects or publications in data science. Technical Skills Proficiency in programming languages like Python Experience with SQL for querying and managing databases. Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with big data tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is a plus. Experience with data visualization tools (e.g., Tableau, Power BI, or Plotly). Strong understanding of statistics, probability, and experimental design Show more Show less

Compelling Opportunity for ML Engineer with Innovative Entity in Insurance Industry Employment | Immediate Location: Hyderabad, India Reporting Manager: Head of Analytics Work Pattern: Full Time, 5 days in the office Minimum Experience as a ML Engineer : 3 to 5 years Position Overview: The Innovative Entity in Insurance Industry is seeking an experienced Machine Learning Engineer with 3 to 5 years of hands-on experience in designing, developing, and deploying machine learning models and systems. The ideal candidate will work closely with data scientists, software engineers, and product teams to create solutions that drive business value. You will be responsible for building scalable and efficient machine learning pipelines, optimizing model performance, and integrating models into production environments. Key Responsibilities: · Model Development & Training: Develop and train machine learning models, including supervised, unsupervised, and deep learning algorithms, to solve business problems. · Data Preparation: Collaborate with data engineers to clean, preprocess, and transform raw data into usable formats for model training and evaluation. · Model Deployment & Monitoring: Deploy machine learning models into production environments, ensuring seamless integration with existing systems and monitoring model performance. · Feature Engineering: Create and test new features to improve model performance, and optimize feature selection to reduce model complexity. · Algorithm Optimization: Research and implement state-of-the-art algorithms to improve model accuracy, efficiency, and scalability. · Collaborative Development: Work closely with data scientists, engineers, and other stakeholders to understand business requirements, develop ML models, and integrate them into products and services. · Model Evaluation: Conduct model evaluation using statistical tests, cross-validation, and A/B testing to ensure reliability and generalizability. · Documentation & Reporting: Maintain thorough documentation of processes, models, and systems. Provide insights and recommendations based on model results to stakeholders. · Code Reviews & Best Practices: Participate in peer code reviews, and ensure adherence to coding best practices, including version control (Git), testing, and continuous integration. · Stay Updated on Industry Trends: Keep abreast of new techniques and advancements in the field of machine learning, and suggest improvements for internal processes and models. Required Skills & Qualifications · Education : Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field. · Experience: 3 to 5 years of hands-on experience working as a machine learning engineer or in a related role. · Programming Languages: Proficiency in Python (preferred), R, or Java. Experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. · Data Manipulation: Strong knowledge of SQL and experience working with large datasets (e.g., using tools like Pandas, NumPy, Spark). · Cloud Services: Experience with cloud platforms like AWS, Google Cloud, or Azure, particularly with ML services such as SageMaker or AI Platform. · Model Deployment: Hands-on experience with deploying ML models using Docker, Kubernetes, and CI/CD pipelines. · Problem-Solving Skills: Strong analytical and problem-solving skills with the ability to understand complex data problems and implement effective solutions. · Mathematics and Statistics: A solid foundation in mathematical concepts related to ML, such as linear algebra, probability, statistics, and optimization techniques. · Communication Skills: Strong verbal and written communication skills to collaborate effectively with cross-functional teams and stakeholders. Preferred Qualifications: · Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). · Exposure to natural language processing (NLP), computer vision, or recommendation systems. · Familiarity with version control systems (e.g., Git) and collaborative workflows. · Experience with model interpretability and fairness techniques. · Familiarity with big data tools (e.g., Hadoop, Spark, Kafka). Screening Criteria · Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field. · 3 to 5 years of hands-on experience working as a machine learning engineer or in a related role. · Proficiency in Python · Experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. · Strong knowledge of SQL · Experience working with large datasets (e.g., using tools like Pandas, NumPy, Spark). · Experience with cloud platforms like AWS, Google Cloud, or Azure, particularly with ML services such as SageMaker or AI Platform · Hands-on experience with deploying ML models using Docker, Kubernetes, and CI/CD pipelines · A solid foundation in mathematical concepts related to ML, such as linear algebra, probability, statistics, and optimization techniques. · Available to work from office in Hyderabad · Available to join within 30 days Considerations · Location – Hyderabad · Working from office · 5 day working Evaluation Process Round 1 – HR Round Round 2 & 3 – Technical Round Round 4 – Discussion with CEO Interested Profiles, Kindly Apply Note o Additional inputs to be gathered from the candidate to put together the application Show more Show less

Role Designation: Analyst Learning Job Responsibilities Develop teaching materials including exercises & assignments Conduct classroom training / virtual training Design assessments Enhance course material & course delivery based on feedback to improve training effectiveness Location: Mysore, Mangalore, Bangalore, Chennai, Pune, Hyderabad, Chandigarh Description of the Profile We are looking for trainers with 4 to 7 years of teaching experience and technology know-how in one or more of the following areas: Java – Java programming, Spring, Angular / React, Bootstrap Microsoft – C# programming, SQL Server, ADO.NET, ASP.NET, MVC design pattern, Azure, MS Power platforms, MS Dynamics 365 CRM, MS Dynamics 365 ERP, SharePoint Testing – Selenium, Microfocus UFT, Microfocus-ALM tools, SOA testing, SOAPUI, Rest assured, Appium Big Data – Python programming, Hadoop, Spark, Scala, Mongo DB, NoSQL SAP – SAP ABAP programming / SAP MM / SAP SD /SAP BI / SAP S4 HANA Oracle – Oracle E-Business Suite (EBS) / PeopleSoft / Siebel CRM / Oracle Cloud / OBIEE / Fusion Middleware API and integration – API, Microservices, TIBCO, APIGee, Mule Digital Commerce – SalesForce, Adobe Experience Manager Digital Process Automation PEGA, Appian, Camunda, Unqork, UIPath MEAN / MERN stacks Business Intelligence – SQL Server, ETL using SQL Server, Analysis using SQL Server, Enterprise reporting using SQL, Visualization Data Science – Python for data science, Machine learning, Exploratory data analysis, Statistics & Probability Cloud & Infrastructure Management – Network administration / Database administration / Windows administration / Linux administration / Middleware administration / End User Computing / ServiceNow Cloud platforms like AWS / GCP/ Azure / Oracle Cloud, Virtualization Cybersecurity Infra Security / Identity & Access Management / Application Security / Governance & Risk Compliance / Network Security Mainframe – COBOL, DB2, CICS, JCL Show more Show less

Bangalore,Karnataka,India Job ID 766481 Join our Team About this Opportunity The complexity of running and optimizing the next generation of wireless networks, such as 5G with distributed edge compute, will require Machine Learning (ML) and Artificial Intelligence (AI) technologies. Ericsson is setting up an AI Accelerator Hub in India to fast-track our strategy execution, using Machine Intelligence (MI) to drive thought leadership, automate, and transform Ericsson’s offerings and operations. We collaborate with academia and industry to develop state-of-the-art solutions that simplify and automate processes, creating new value through data insights. What you will do As a Senior Data Scientist, you will apply your knowledge of data science and ML tools backed with strong programming skills to solve real-world problems. Responsibilities: 1. Lead AI/ML features/capabilities in product/business areas 2. Define business metrics of success for AI/ML projects and translate them into model metrics 3. Lead end-to-end development and deployment of Generative AI solutions for enterprise use cases 4. Design and implement architectures for vector search, embedding models, and RAG systems 5. Fine-tune and evaluate large language models (LLMs) for domain-specific tasks 6. Collaborate with stakeholders to translate vague problems into concrete Generative AI use cases 7. Develop and deploy generative AI solutions using AWS services such as SageMaker, Bedrock, and other AWS AI tools. Provide technical expertise and guidance on implementing GenAI models and best practices within the AWS ecosystem. 8. Develop secure, scalable, and production-grade AI pipelines 9. Ensure ethical and responsible AI practices 10. Mentor junior team members in GenAI frameworks and best practices 11. Stay current with research and industry trends in Generative AI and apply cutting-edge techniques 12. Contribute to internal AI governance, tooling frameworks, and reusable components 13. Work with large datasets including petabytes of 4G/5G networks and IoT data 14. Propose/select/test predictive models and other ML systems 15. Define visualization and dashboarding requirements with business stakeholders 16. Build proof-of-concepts for business opportunities using AI/ML 17. Lead functional and technical analysis to define AI/ML-driven business opportunities 18. Work with multiple data sources and apply the right feature engineering to AI models 19. Lead studies and creative usage of new/existing data sources What you will bring Required Experience - min 7 years 1. Bachelors/Masters/Ph.D. in Computer Science, Data Science, AI, ML, Electrical Engineering, or related disciplines from reputed institutes 2. 3+ years of applied ML/AI production-level experience 3. Strong programming skills (R/Python) 4. Proven ability to lead AI/ML projects end-to-end 5. Strong grounding in mathematics, probability, and statistics 6. Hands-on experience with data analysis, visualization techniques, and ML frameworks (Python, R, H2O, Keras, TensorFlow, Spark ML) 7. Experience with semi-structured/unstructured data for AI/ML models 8. Strong understanding of building AI models using Deep Neural Networks 9. Experience with Big Data technologies (Hadoop, Cassandra) 10. Ability to source and combine data from multiple sources for ML models Preferred Qualifications: 1. Good communication skills in English 2. Certifying MI MOOCs, a plus 3. Domain knowledge in Telecommunication/IoT, a plus 4. Experience with data visualization and dashboard creation, a plus 5. Knowledge of Cognitive models, a plus 6. Experience in partnering and collaborative co-creation in a global matrix organization. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply?

Salary - 10 to 25 LPA Title : Sr. Data Scientist/ML Engineer (4+ years & above) Required Technical Skillset Language : Python, PySpark Framework : Scikit-learn, TensorFlow, Keras, PyTorch Libraries : NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database : Relational Database(Postgres), NoSQL Database (MongoDB) Cloud : AWS cloud platforms Other Tools : Jenkins, Bitbucket, JIRA, Confluence 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. Machine Learning Techniques : Should have a deep understanding of various machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning and should also be familiar with different types of models such as decision trees, random forests, neural networks, and deep learning. Data Analysis and Visualization : Should be able to analyze and manipulate large data sets. The candidate should be familiar with data cleaning, transformation, and visualization techniques to identify patterns and insights in the data. Deep Learning Frameworks : Should be familiar with deep learning frameworks such as TensorFlow, PyTorch, and Keras and should be able to build and train deep neural networks for various applications. 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. (ref:hirist.tech) Show more Show less

We are looking for a Junior Backend Developer with 1-2 years of experience to join our dynamic development team. The ideal candidate should have a strong foundation in C#, .NET, and WPF with a keen interest in backend development. This role requires good problem-solving skills, a willingness to learn, and the ability to collaborate effectively in a team environment. Roles And Responsibilities Develop and maintain backend solutions using C#, .NET, and WPF. Collaborate with team members to understand and implement business requirements. Write clean, efficient, and well-documented code. Troubleshoot and debug existing applications. Stay updated with new technologies and improve coding practices. Work with SQL databases and write efficient queries. Follow best coding practices and ensure proper version control using Git. Skills And Qualifications Required 1-2 years of experience in backend development with C# and .NET. Basic knowledge of ASP.NET, Windows Services, and Web API. Familiarity with UI development using WPF and MVVM pattern. Good understanding of object-oriented programming, data structures, and algorithms. Knowledge of relational databases and ability to write SQL queries. Experience working with Git for version control. Good To Have Skills Basic knowledge of Linux administration and troubleshooting. Understanding of Docker and Kubernetes. Conceptual knowledge of Probability, Statistics, and Basic Finance concepts (ref:hirist.tech) Show more Show less

Job Description Responsibilities : Identify relevant data sources - a combination of data sources to make it useful. Build the automation of the collection processes. Pre-processing of structured and unstructured data, leveraging NLP techniques for text data. Handle large amounts of information to create the input for analytical models, incorporating Gen AI for advanced data processing and generation. Build predictive models, machine learning, and deep learning algorithms; innovate with Gen AI applications in model development. Build network graphs, apply NLP techniques for text analysis, and design forecasting models while building data pipelines for end-to-end solutions. Propose solutions and strategies to address business challenges, integrating Gen AI and NLP in practical applications. Collaborate with product development teams and communicate with Senior Leadership teams. Participate in problem-solving sessions, leveraging NLP and Gen AI for innovative solutions. Requirements Bachelor's degree in a highly quantitative field (e., Computer Science, Engineering, Physics,Math, Operations Research, etc.) or equivalent experience. Extensive machine learning and algorithmic background with deep expertise in Gen AI andNatural Language Processing (NLP) techniques, along with a strong understanding of supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, and network graph analysis. Advanced knowledge of NLP methods, including text generation, sentiment analysis, namedentity recognition, and language modelling. Strong math skills, including proficiency in statistics, linear algebra, and probability, with the ability to apply these concepts in Gen AI and NLP solutions. Proven problem-solving aptitude with the ability to apply NLP and Gen AI tools to real-world business challenges. Excellent communication skills with the ability to translate complex technical information, especially related to Gen AI and NLP, into clear insights for non-technical stakeholders. Fluency in at least one data science/analytics programming language (e., Python, R, Julia), with expertise in NLP and Gen AI libraries like TensorFlow, PyTorch, Hugging Face, or OpenAI tools. Start-up experience is a plus, with ideally 5-8 years of advanced analytics experience in startups or marquee companies, particularly in roles leveraging Gen AI and NLP for product or business innovations. Required Skills Deep Learning (DL), Algorithms, Computer Science & Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence (AI), ERP Systems, Product Management, Automation, Analytical Models, Predictive Models, Natural Language Processing (NLP), Gen AI, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Algebra, Data Science, Programming Languages: Python, Julia (ref:hirist.tech) Show more Show less

Job Title : Data Scientist- Lead Location : Bangalore, Pune, Mumbai, Kolkata Experience : 5 to 14 Years About Prismforce Prismforce is a Vertical SaaS company revolutionizing the Talent Supply Chain for global Technology, R&D/Engineering, and IT Services companies. Our AI-powered product suite enhances business performance by enabling operational flexibility, accelerating decision-making, and boosting profitability. Our mission is to become the leading industry cloud/SaaS platform for tech services and talent organizations worldwide. Responsibilities Identify relevant data sources a combination of data sources to make it useful. Build the automation of the collection processes. Pre-processing of structured and unstructured data. Handle large amounts of information to create the input to analytical Models. Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms. Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions. Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams. Participate in Problem solving sessions Requirements Bachelor's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics, Math, Operations Research, etc.) or equivalent experience. Extensive machine learning and algorithmic background with deep expertise in Gen AI and Natural Language Processing (NLP) techniques, along with a strong understanding of supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, and network graph analysis. Advanced knowledge of NLP methods, including text generation, sentiment analysis, named entity recognition, and language modelling. Strong math skills, including proficiency in statistics, linear algebra, and probability, with the ability to apply these concepts in Gen AI and NLP solutions. Proven problem-solving aptitude with the ability to apply NLP and Gen AI tools to real-world business challenges. Excellent communication skills with the ability to translate complex technical information, especially related to Gen AI and NLP, into clear insights for non-technical stakeholders. Fluency in at least one data science/analytics programming language (e.g., Python, R, Julia), with expertise in NLP and Gen AI libraries like TensorFlow, PyTorch, Hugging Face, or OpenAI tools. Start-up experience is a plus, with ideally 5-8 years of advanced analytics experience in startups or marquee companies, particularly in roles leveraging Gen AI and NLP for product or business innovations. Required Skills Machine Learning, Deep Learning, Algorithms Computer Science, Engineering, Operations Research Math Skills, Communication Skills, SAAS Product, IT Services Artificial Intelligence, ERP Product Management, Automation, Analytical Models Predictive Models, NLP What Makes Us Unique First-Mover Advantage : We are the only Vertical SaaS product company addressing Talent Supply Chain challenges in the IT services industry. Innovative Product Suite : Our solutions offer forward-thinking features that outshine traditional ERP systems. Strategic Expertise : Guided by an advisory board of ex-CXOs from top global IT firms, providing unmatched industry insights. Experienced Leadership : Our founding team brings deep expertise from leading firms like McKinsey, Deloitte, Amazon, Infosys, TCS, and Uber. Diverse and Growing Team : We have grown to 160+ employees across India, with hubs in Mumbai, Pune, Bangalore, and Kolkata. Strong Financial Backing : Series A-funded by Sequoia, with global IT companies using our product as a core solution. Why Join Prismforce Competitive Compensation : We offer an attractive salary and benefits package that rewards your contributions. Innovative Projects : Work on pioneering projects with cutting-edge technologies transforming the Talent Supply Chain. Collaborative Environment : Thrive in a dynamic, inclusive culture that values teamwork and innovation. Growth Opportunities : Continuous learning and development are core to our philosophy, helping you advance your career. Flexible Work : Enjoy flexible work arrangements that balance your work-life needs. By joining Prismforce, you'll become part of a rapidly expanding, innovative company that's reshaping the future of tech services and talent management. Perks & Benefits Work with the best in the industry: Work with a high-pedigree leadership team that will challenge you, build on your strengths and invest in your personal development Insurance Coverage-Group Mediclaim cover for self, spouse, kids and parents & Group Term Life Insurance Policy for self. Flexible Policies Retiral Benefits Hybrid Work Model Self-driven career progression tool Attractive ESOPs (ref:hirist.tech) Show more Show less

Responsibilities Identify relevant data sources a combination of data sources to make it useful. Build the automation of the collection processes. Pre-processing of structured and unstructured data. Handle large amounts of information to create the input to analytical Models. Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms. Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions. Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams. Participate in Problem solving sessions Requirements Bachelor's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics, Math, Operations Research, etc.) or equivalent experience. Extensive machine learning and algorithmic background with deep expertise in Gen AI and Natural Language Processing (NLP) techniques, along with a strong understanding of supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, and network graph analysis. Advanced knowledge of NLP methods, including text generation, sentiment analysis, named entity recognition, and language modelling. Strong math skills, including proficiency in statistics, linear algebra, and probability, with the ability to apply these concepts in Gen AI and NLP solutions. Proven problem-solving aptitude with the ability to apply NLP and Gen AI tools to real-world business challenges. Excellent communication skills with the ability to translate complex technical information, especially related to Gen AI and NLP, into clear insights for non-technical stakeholders. Fluency in at least one data science/analytics programming language (e.g., Python, R, Julia), with expertise in NLP and Gen AI libraries like TensorFlow, PyTorch, Hugging Face, or OpenAI tools. Start-up experience is a plus, with ideally 5-8 years of advanced analytics experience in startups or marquee companies, particularly in roles leveraging Gen AI and NLP for product or business innovations. Required Skills Machine Learning, Deep Learning, Algorithms Computer Science, Engineering, Operations Research Math Skills, Communication Skills, SAAS Product, IT Services Artificial Intelligence, ERP Product Management, Automation, Analytical Models Predictive Models, NLP (ref:hirist.tech) Show more Show less

Job Description We are looking for a passionate and curious AI/ML Engineer with an interest in Generative AI to join our innovative team. In this role, you will work on developing, fine-tuning, and deploying intelligent models and systems that solve real-world problems using the latest in artificial intelligence, machine learning, and large language models (LLMs). This is an excellent opportunity for early-career professionals to grow in the exciting field of AI/ML and generative AI technologies. Key Responsibilities Assist in the development, training, and evaluation of machine learning and deep learning models. Fine-tune pre-trained Large Language Models (LLMs) like GPT, BERT, LLaMA, etc., for specific use cases. Work with datasets: collection, preprocessing, augmentation, and analysis. Participate in model optimization, deployment (e.g., via APIs), and performance monitoring. Taking responsibility for driving all aspects of implementation, quality assurance, continuous integration and deployment, and application monitoring. Required Skills Strong understanding of machine learning, deep learning, and generative AI concepts. Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy. Exposure to NLP techniques and transformer models (e.g., GPT, BERT). Basic understanding of model training, evaluation metrics, and deployment pipelines. Knowledge of data preprocessing, cleaning, and visualization techniques. Strong hands-on experience in working with SQL databases. Good To Have Hands-on experience with Generative AI models (e.g., GPT, DALL-E, etc.). Familiarity with LangChain, LlamaIndex, or other LLM frameworks. Experience working with Hugging Face, OpenAI, or similar APIs. Understanding of prompt engineering and fine-tuning strategies. Exposure to MLOps tools (e.g., MLflow, Weights & Biases, DVC). Participation in AI/ML competitions (e.g., Kaggle) or contribution to open-source projects. Qualification Education : B.Tech M.Tech or MCA 1-2 years of professional or academic project experience in AI/ML. Preferably should have done some certification / courses / Formal training Solid understanding of mathematics related to data science probability, statistics, linear algebra, etc. Experience in building end-to-end ML and/or AI and/or Generative AI projects. Excellent Communication skills oral and written Should have the mindset to work in a startup culture. (ref:hirist.tech) Show more Show less

Position Overview We are seeking a Data Scientist with a strong background in Machine Learning, Natural Language Processing (NLP), Generative AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will possess 1+ years of hands-on experience in developing and deploying advanced data-driven solutions. You will play a key role in our AI-CoE team, contributing to cutting-edge projects that drive innovation and business value. A special focus area for this role would be to build AI enabled products that would result in the creation of monetizable product differentiators. Detailed Job Description & Key Responsibilities Develop, Test, and Deploy machine learning models for various business and Telco use cases. Perform data preprocessing, feature engineering and ML/DL model evaluation. Optimize and fine-tune models for performance and scalability. Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT/Llama/Claude/Grok Build and refine RAG models to improve information retrieval and answer generation systems. Integrate RAG methods into existing applications to enhance data accessibility and user experience. Work closely with cross-functional teams including software engineers, product managers, and domain experts. Communicate technical concepts to non-technical stakeholders effectively. Document processes, methodologies, and model development for internal and external stakeholders. Skills Strong knowledge of probability and statistics. Working knowledge of machine learning and deep learning skills. Strong knowledge of programming knowledge - Python, SQL and commonly used frameworks & tools - PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode. Excellent problem-solving skills and a proactive attitude. Strong communication and teamwork abilities. Ability to manage multiple projects and meet deadlines Interview will involve coding tests. (ref:hirist.tech) Show more Show less

Skill required: Commercial Banking Operations - Core Banking Designation: Banking Operations Associate Manager Qualifications: Any Graduation Years of Experience: 10 to 14 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? We help clients address quality and productivity issues, keep pace with customer expectations, navigate regulatory and operational pressures and ensure business sustainability by transforming their banking operations into an agile, resilient operating model. The Corporate banking /Wholesale banking team is responsible for helping clients and organizations processes trade finance transactions by providing superior service delivery to trade customers whilst safeguarding the bank from risks associated with this business. Develop and deliver core banking solutions for the applications that process the essential functions of banks, including account management, interest calculations, cash deposits and withdrawals processing, customer management and product management. What are we looking for? Should be able to review the US financial statements of the borrowers/guarantors, calculate/interpret the financial ratios. Understand functions like servicing, collateral management function within Banking Operations Understand the type of facilities and exposure of the borrower to asses the Loss Given Default and the Probability of Default. Should have knowledge of financials ratios impact on the overall performance. Identify the Risk associated with the borrowers and mention it accordingly in the review along with the possible mitigants with justification. Performing assignments/deals/tasks of moderate complexity Working with limited supervision, Performing tasks with some degree of independent decision making, Ability to take judgment calls Contributes to cycle time improvement and efficiency of the team Communicating in correct English with clients, both orally and written. Analytically sound to take decisions on effectiveness of Controls. Advanced Proficiency required in English Language to create documentation. Perform assignments/deals/tasks of high complexity and resolving queries Ability to interact with Clients on weekly calls and explain Issue Management process. Should be able to review the US financial statements of the borrowers/guarantors, calculate/interpret the financial ratios. Understand functions like servicing, collateral management function within Banking Operations Understand the type of facilities and exposure of the borrower to asses the Loss Given Default and the Probability of Default. Should have knowledge of financials ratios impact on the overall performance. Identify the Risk associated with the borrowers and mention it accordingly in the review along with the possible mitigants with justification. Performing assignments/deals/tasks of moderate complexity Working with limited supervision, Performing tasks with some degree of independent decision making, Ability to take judgment calls Contributes to cycle time improvement and efficiency of the team Communicating in correct English with clients, both orally and written. Analytically sound to take decisions on effectiveness of Controls. Advanced Proficiency required in English Language to create documentation. Perform assignments/deals/tasks of high complexity and resolving queries Ability to interact with Clients on weekly calls and explain Issue Management process. Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Show more Show less

We only hire from Top Tier Universities including IITs, BITS, DCE/NSIT, ISI, Top NITs etc. This role is only suitable for candidates with between 1 to 4 years experience. People with more than 4 years of experience need not apply. This is an URGENT requirement. We are hiring for a UK based Fintech company (name is kept confidential). The company is seeking an early stage Data Scientist to join the team and support the design, development, and Machine Learning and AI use-cases. Your work will directly support strategic initiatives and improve business outcomes. Job Summary : We are seeking a motivated Data Scientist to join our Data and AI team. The ideal candidate will assist in analysing complex datasets, building predictive models, and contributing to data-driven decision-making. This entry-level role is perfect for someone eager to apply their technical skills and grow in a collaborative, innovative environment. Key Responsibilities : Collect, clean, and preprocess structured and unstructured data from various sources Perform exploratory data analysis (EDA) to identify trends, patterns, and insights Develop, test, and deploy basic machine learning models under senior team guidance Create visualisations and dashboards to communicate findings to stakeholders Collaborate with cross-functional teams (e.g., product, engineering) to support business objectives Assist in maintaining data pipelines and ensuring data quality Stay updated on industry trends and emerging tools in data science Qualifications : Bachelors degree in data science, Computer Science, Statistics, Mathematics, or a related field 1-3 years of experience in data science or a related role (internships or academic projects count) Proficiency in Python for data analysis (e.g., pandas, NumPy, scikit-learn) Strong analytical and problem-solving skills Excellent communication skills to explain technical concepts to non-technical audiences. Understanding of machine learning algorithms (e.g., regression, classification, clustering). Nice to Have: Internship or project experience in data science or analytics Exposure to Gen AI architectures (RAG, MCP etc.) Experience working with cloud platforms (e.g., AWS, GCP, Azure) Experience with SQL for data querying Knowledge of version control (e.g., Git)

Position: Tender Quotation Specialist Location : Chennai (Candidates must be willing to relocate) Experience Range : 6–12 years Qualification: Bachelors Engineering Main Accountabilities: Tendering authority for all tenders with medium to high complexity. Create and complete bids/estimations/quotations based on end customer specification or customer requirements/budget in liaising with the Operating Unit’s Tendering team, having close collaboration with all the tendering stakeholders and take full tender responsibility. Coordinate with all the tendering stakeholders, OU Tendering team, Engineering Leads, Project managers, SCM, end customers, consultants, Contracts & legal team, HSE & Quality, etc and provide required support in each Tender Able to perform the following activities : Taking complete responsibility for the tenders prepared from IN Operation Center with appropriate inputs from the different stakeholders of the team in-line with LOM Tendering process seeking necessary inputs from the Operating Units tendering team. Understanding of Sales process, Sales tools & techniques, Market & Business Intelligence, Sales drive Supporting sales strategy & facilitating capture team selling Knowledge in assessing the pre-qualification requirements and supporting the Sales team for Bid/No Bid decision Create and review Tender Solution Strategy. Target Pricing in discussion with Operating units Complete Understanding of Single line diagrams & Equipment arrangement layouts. Reviewing the proposals towards optimized and customized solutions for various substation tenders (AIS, GIS, Hybrid). Innovative ideas to prepare a cost effective solution Technical data sheets verification of primary equipment. Knowledge of primary equipment, such as circuit breakers, disconnectors, earthing switches, instrument transformers, power transformers, etc with minimal support from Engineering team Collaborate with SCM having good understanding about strategic sourcing and do Vendor Offer evaluations. Finalize the tender sourcing plan appropriately. Analyze the risk probability & severity of the tenders from technical, commercial, contractual perspectives & drive the mitigation strategy liasing with the different disciplines. Should be handling the risk review process and getting the approval from different management levels based on the tender volume & the risks involved Review Cash flow documents and the inputs from Contracts & legal teams and take conclusive decisions during submissions Directly responsible for the complete documentation for respective tenders as per the client requirement Handing over the awarded projects to the respective project managers. Show more Show less