1172 Probability Jobs - Page 27

Position Overview Job Title: Control Assessments and Change Risk Advisory - GTI Location: Pune, India Corporate Title: AVP Role Description The 1st line Tech Risk and controls function at Deutsche sits within the Group Technology Infrastructure (GTI) for Deutsche Bank Group. GTI has the largest footprint within the Technology, Data and Innovation division and is joined by other business-aligned CIO IT divisions. The Tech Risk and Controls is a dynamic team, consistently in demand, for providing guidance and challenge to deliver change and maintain systems in a secure and resilient manner. As part of the team, you will join the Bank’s journey and contribute towards our strategic goal of cloud enabled solutions as well as activities that improve our operational resilience and risk reduction. Specifically, you will bring expertise to Control definition and assessments capability across IT Infrastructure, SDLC and Architecture domains supporting a proactive risk management function. It will therefore also include providing change risk advisory services for transformational change programs undertaken by or impacting GTI. You will liaise with other risk and control functions, on a management level to assure the integration of risk initiatives and projects. You will also support Regulatory Adherence and Policy Management function within TDI Risk Management. Its purpose is to provide oversight and supervision of new & changed material regulation impacting TDI, including full traceability to derived DB-specific Policies, Procedures, Key Operating Documents and Supporting Documents. This role will report to GTI Control Assessment Lead What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Risk & Control Management Identify and evaluate potential areas of non-compliance or risk, assessing impact, probability and present findings and proposals for risk mitigation measures. Support the delivery of the risk and control initiatives. This includes participation in risk and control activities, risk-based control reporting of key issues, performance and validation of cyclical activities such as annual control self-assessments. Work closely with teams in and out of the division to understand risks impacting the group. Align internal Deutsche Bank policies/procedures against industry recognized framework to strengthen the control framework and its implementation for both within the Bank and our 3rd party vendor relationships Ensure management transparency by way of timely risk reporting and proactive engagement and representing controls team at different governing forums Regulatory Adherence and Policy Management Coordination of regulatory adherence assessments across sub-divisions within TDI and management and review of Policies, Procedures, Key Operating Documents, Supporting Documents within TDI. Engage with stakeholders across TDI and other (e.g. 2nd line of defence) divisions in reviewing, assessing, and documenting the impact of regulations and planning remedial actions. Steer and support the publication of a consistent set of global and local Policies, Procedures, Key Operating Documents and Supporting Documents relating to Information Technology from laws, rules, and regulations. Risk remediation and Change Risk Advisory Support the Head of TDI GTI Risk Management in assessing risks related to strategic changes within the GTI Organization Proactively monitor risk landscape shift within the industry to identify transformation project opportunities to insulate Deutsche Bank from any potential risk exposure e.g., Production design life cycle, application and infrastructure architecture and its resilience Stakeholder Management – Identify, Partner and Collaborate Work with relevant stakeholders to identify and assess controls gaps related to technology risk - measure and mitigate them in a timely manner Align with COO Division Control Office (DCO) team and NFRM (2nd LoD) ensuring successful and consistent implementation of the established control framework. Promote and support proactive IT risk culture at the Bank. Desired Experience Your skills and experience Minimum 5 years of experience as Risk and Control Lead in designing and implementation of Technology risk framework or IT Audit in a global organization. Experience in a regulatory oversight, assurance, or policy management function within technology. Or have suitable compliance or audit background within infrastructure (and preferably IT & Information Security). Extensive experience regarding development, training and implementation of IT Policies, Procedures, Key Operating Documents and Supporting Documents. Good understanding of Industry best practices such as NIST, COBIT, ITIL and ISO 27001 Other professional qualifications and certifications in Technology risk management Desired behaviors A strong team player comfortable in a cross-cultural and diverse operating environment Result oriented and ability to deliver under tight timelines Ability to successfully resolve conflicts in a globally matrix driven organization Excellent communication and collaboration skills Desire to learn about new and emerging technologies and continuous upskilling Must be comfortable with navigating ambiguity to extract meaningful risk insights How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Show more Show less

Sapiens is on the lookout for a Senior Data Scientist to become a key player in our Bangalore team. If you're a seasoned Data Scientist pro and ready to take your career to new heights with an established, globally successful company, this role could be the perfect fit. Location: Bangalore Working Model: Our flexible work arrangement combines both remote and in-office work, optimizing flexibility and productivity. This position will be part of Sapiens’ Digital (Data Suite) division, for more information about it, click here: https://sapiens.com/solutions/digitalsuite-customer-experience-and-engagement-software-for-insurers/ We are looking for an enthusiastic Data Scientist with a foundational understanding of data science principles and an interest in the insurance industry. The role involves working alongside senior data scientists to analyze data, build models, and generate insights. What You’ll Do Data Collection & Preprocessing Assist in gathering, cleaning, and preprocessing data from various sources, ensuring data quality and consistency. Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights within the data. Model Development & Evaluation Building predictive models to enhance accuracy. Test and evaluate basic machine learning models, including linear and logistic regression, decision trees, and clustering algorithms. Reporting & Visualization Create clear and informative data visualizations and reports to communicate insights to business stakeholders. Tracking key metrics and performance indicators related to business objectives. Cross-functional Collaboration Collaborate with business and technical teams to understand project requirements and contribute to the design of data-driven solutions. Participate in team meetings, brainstorming sessions, and discussions on data science projects and initiatives. Research & Learning Stay updated on the latest trends and tools in data science, machine learning, and the insurance industry. Participate in ongoing training and development programs to enhance technical skills and industry knowledge. Must Have Skills. What to Have for this position. Education: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. A Master’s degree is a plus. Experience : 4+ years of experience in data science or analytics Basic Industry Knowledge: General understanding of insurance concepts (e.g., policies, claims, risk, customer lifecycle) is desirable but not required. Insurance Data Familiarity: Some experience working with structured data (e.g., customer demographics, policy details) and an eagerness to learn about the specific types of data used in the insurance industry. Predictive Models: Exposure to basic predictive modeling techniques such as regression, classification, forecasting or clustering. Experience with insurance-specific models (e.g., claims prediction, risk assessment) is a plus. Data Preparation: Knowledge of data cleaning and preprocessing techniques, with experience in handling datasets to prepare them for analysis. Programming Skills: Proficiency in Python for data analysis, with familiarity in using libraries such as Pandas, NumPy, and Scikit-learn. Data Manipulation: Basic skills in SQL for querying and extracting data from databases. Statistical Knowledge: Understanding of fundamental statistical concepts, including distributions, probability, hypothesis testing, and descriptive statistics. Required Soft Skills Curiosity & Willingness to Learn: Enthusiastic about learning new concepts, techniques, and industry-specific knowledge in the insurance domain. Problem-Solving Skills: Ability to approach challenges analytically and think critically about data and project requirements. Attention to Detail: Keen eye for detail in data handling and model development to ensure high-quality outcomes. Communication Skills: Clear and concise communication skills, with the ability to present findings and insights effectively. Team Collaboration : Willingness to work collaboratively within a team, receiving and applying feedback from senior team members. About Sapiens Sapiens is a global leader in the insurance industry, delivering its award-winning, cloud-based SaaS insurance platform to over 600 customers in more than 30 countries. Sapiens’ platform offers pre-integrated, low-code capabilities to accelerate customers’ digital transformation. With more than 40 years of industry expertise, Sapiens has a highly professional team of over 5,000 employees globally. For More information visit us on www.sapiens.com . Sapiens is an equal opportunity employer. We value diversity and strive to create an inclusive work environment that embraces individuals from diverse backgrounds. Disclaimer: Sapiens India does not authorise any third parties to release employment offers or conduct recruitment drives via a third party. Hence, beware of inauthentic and fraudulent job offers or recruitment drives from any individuals or websites purporting to represent Sapiens . Further, Sapiens does not charge any fee or other emoluments for any reason (including without limitation, visa fees) or seek compensation from educational institutions to participate in recruitment events. Accordingly, please check the authenticity of any such offers before acting on them and where acted upon, you do so at your own risk. Sapiens shall neither be responsible for honouring or making good the promises made by fraudulent third parties, nor for any monetary or any other loss incurred by the aggrieved individual or educational institution. In the event that you come across any fraudulent activities in the name of Sapiens , please feel free report the incident at sapiens to sharedservices@sapiens.com Show more Show less

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Defender Experts (DEX) Research team is at the forefront of Microsoft’s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left—disrupting threats early, before damage occurs—by transforming raw signals into intelligence that powers detection, disruption, and customer trust. We’re looking for a passionate and curious Data Scientist to join this high-impact team. In this role, you'll partner with researchers, hunters, and detection engineers to explore attacker behavior, operationalize entity graphs, and develop statistical and ML-driven models that enhance DEX’s detection efficacy. Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security. This is an opportunity to work on problems that matter—with cutting-edge data, a highly collaborative team, and the scale of Microsoft behind you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. Design and build robust, large-scale graph structures to model security entities, behaviors, and relationships. Develop and deploy scalable, production-grade AI/ML systems and intelligent agents for real-time threat detection, classification, and response. Collaborate closely with Security Research teams to integrate domain knowledge into data science workflows and enrich model development. Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment. Work with large-scale graph data: create, query, and process it efficiently to extract insights and power models. Lead initiatives involving Graph ML, Generative AI, and agent-based systems, driving innovation across threat detection, risk propagation, and incident response. Collaborate closely with engineering and product teams to integrate solutions into production platforms. Mentor junior team members and contribute to strategic decisions around model architecture, evaluation, and deployment. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field 6+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn) Strong foundation in statistics, probability, and applied machine learning techniques Experience working with large-scale datasets, telemetry, or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python Demonstrable competency in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests. Must have experience in dealing with outliers, denoising data and handling the impact of pandemic like situations. Should be able to perform EDA of raw data & feature engineering wherever applicable Demonstrable competency in Data Visualisation using the Python/R Data Science Stack. Should be able to leverage cloud platforms for training and deploying large scale solutions. Should be able to train and evaluate ML model using various machine learning and deep learning algorithm. Retrain and maintain model accuracy in deployment. Should be able to package & deploy large scale models on on-premise systems using multiple approaches including docker. Should be able to take complete ownership of the assigned project Experience of working in Agile environments Well versed with JIRA or equivalent project tracking tool Knowledge of cloud platforms (AWS, Azure and GCP) Exposure to No SQL databases (MongoDB, Cassandra, Cosmos DB, HBase) Forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts) An experience with large data sets and distributed computing (Hive/Hadoop/Spark) Transfer learning using state of art models in different spaces – vision, NLP and speech. - Integration with external services and Cloud API. Working with data annotation approaches and tools for text, images and videos

About Us Our leading SaaS-based Global Growth Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we’re dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere. Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated. The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work. At G-P, we assist organizations in building exceptional global teams in days, not months—streamlining the hiring, onboarding, and management process to unlock growth potential for all. About The Role As a Principal AI Engineer, you will design, develop, and deploy AI solutions that address complex business challenges. This role requires advanced expertise in artificial intelligence, including machine learning and natural language processing, and the ability to implement these technologies in production-grade systems. Key Responsibilities Develop innovative, scalable AI solutions for real business problems. Drive the full lifecycle of projects from conception to deployment, ensuring alignment with business objectives. Own highly open-ended projects end-to-end, from the analysis of business requirements to the deployment of solutions. Expect to dedicate about 20% of your time to understanding problems and collaborating with stakeholders. Manage complex data sets, design efficient data processing pipelines, and work on robust models. Expect to spend approximately 80% of your time on data and ML engineering tasks related to developing AI systems. Work closely with other AI engineers, product managers, and stakeholders to ensure that AI solutions meet business needs and enhance user satisfaction. Write clear, concise, and comprehensive technical documentation for all projects and systems developed. Stay updated on the latest developments in the field. Explore and prototype new technologies and approaches to address specific challenges faced by the business. Develop and maintain high-quality machine learning services. Prioritize robust engineering practices and user-centric development. Able to work independently and influence at different levels of the organization. Highly motivated and result driven Required Skills And Qualifications Master’s degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, or a related field Deep understanding and practical experience in machine learning and natural language processing especially LLMs Strong foundational knowledge in statistical modeling, probability, and linear algebra Extensive practical experience with curating datasets, training models, analyzing post-deployment data, and developing robust metrics to ensure model reliability Experience developing and maintaining machine learning services for real-world applications at scale Strong Python programming skills High standards for code craftsmanship (maintainable, testable, production-ready code) Proficiency with Docker Knowledge of system design and cloud infrastructure for secure and scalable AI solutions. Proficiency with AWS Proven track record in driving AI projects with strong technical leadership. Excellent communication skills when engaging with both technical and non-technical stakeholders Nice To Have Qualifications Experience with natural language processing for legal applications Proficiency with Terraform React and Node.js experience If you're ready to make an impact in a high-paced startup environment, with a team that embraces innovation and hard work, G-P is the place for you. Be ready to hustle and put in the extra hours when needed to drive our mission forward. We will consider for employment all qualified applicants who meet the inherent requirements for the position. Please note that background checks are required, and this may include criminal record checks. G-P. Global Made Possible. G-P is a proud Equal Opportunity Employer, and we are committed to building and maintaining a diverse, equitable and inclusive culture that celebrates authenticity. We prohibit discrimination and harassment against employees or applicants on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other legally protected status. G-P also is committed to providing reasonable accommodations to individuals with disabilities. If you need an accommodation due to a disability during the interview process, please contact us at careers@g-p.com. Show more Show less

ROLES & RESPONSIBILITIES Core Skills Strong knowledge of statistics and probability theory Proficiency in at least one programming language such as Python and SQL Experience with data visualization tools such as PowerBI Understanding of machine learning algorithms and models Knowledge of data cleaning and preprocessing techniques Experience with data analysis and interpretation EXPERIENCE 3-4.5 Years SKILLS Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Python, Data Science

Req ID: 299670 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Systems Integration Analyst to join our team in Noida, Uttar Pradesh (IN-UP), India (IN). Position General Duties and Tasks: Participate in research, design, implementation, and optimization of Machine learning Models Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products Understanding of Revenue Cycle Management processes like Claims filing and adjudication Hands on experience in Python Build data ingest and data transformation platform Identify transfer learning opportunities and new training datasets Build AI models from scratch and help product managers and stakeholders understand results Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Defining validation strategies Defining the pre-processing or feature engineering to be done on a given dataset Training models and tuning their hyperparameters Analysing the errors of the model and designing strategies to overcome them Deploying models to production Create APIs and help business customers put results of your AI models into operations JD Education Bachelor’s in computer sciences or similar. Masters preferred. Skills hands on programming experience working on enterprise products Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python, R, SAS, or MatLab. Knowledge in Deep Learning/Machine learning, Artificial Intelligence Experience in building AI models using algorithms of Classification & Clustering techniques Expertise in visualizing and manipulating big datasets Strong in MS SQL Acumen to take a complex problem and break it down to workable pieces, to code a solution Excellent verbal and written communication skills Ability to work in and define a fast pace and team focused environment Proven record of delivering and completing assigned projects and initiatives Ability to deploy large scale solutions to an enterprise estate Strong interpersonal skills Understanding of Revenue Cycle Management processes like Claims filing and adjudication is a plus About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team. Show more Show less

About us We are a global technology company, driving energy innovation for a balanced planet.​ Together, we create amazing technology that unlocks access to energy for the benefit of all.​ Our inclusive culture is the key to our success. We collaborate with our internal community of colleagues, alumni, and our valued external partners to support each other and achieve our goals. We aim to raise the bar high. We look for people who are committed to innovation and success and act with integrity to become and be a part of one of the most diverse group of experts in our industry, anywhere around the globe. Global in outlook, local in practice – and with a united, shared passion for discovering solutions, we hire talented, driven people and support them to succeed, personally and professionally. About SLB Technical Services India (STS-I): SLB is committed to moving farther and faster in facilitating the world's energy needs today and forging the road ahead for the energy transition. STSI’s determination to transformation is the start of a journey towards a culture of continuous performance improvement. Over the years STSI has also developed key expertise and support roles in higher scale work both in business vertical (within a PG) and horizontal (across PGs). To position itself as a critical support center for EMS capable of strong value addition while also being recognized as having their own excellence in key services, STSI has identified the need to attain a recognition as a Center of Excellence (CoE). For more details you may visit our Company’s Official site: www.slb.com Job Description: · The core responsibility of a TLM Data Scientist is to develop Python algorithms for determining the health state of machinery equipment to improve their operational reliability and efficiency. · The candidate will collaborate closely with engineer SMEs to understand equipment physics and develop sustainable, industrial-grade AI/analytics solutions. · The role involves analyzing large time-series data from sensor measurements combined with other operational data in cloud as well as in local system. · There will be a strong emphasis on applying engineering domain knowledge in developing algorithms and extracting features out of raw data to build diagnostic and prognostic models. Skills Required: Coding Skills: Extensive experience in Python algorithm programming or data science (not in app development like Flask,Pyramid or Django). Proficient in using Python libraries like Pandas, Numpy, Scikit-learn, Matplotlib, and Bokeh Experience with Git basics Basic SQL queries Fundamental Technical Skills: 1. Understanding of elementary physics and mathematics (e.g. acceleration, force, vector arithmetic) 2. Understanding of fundamental probability and statistics (distributions, standard dev, percentiles, histograms, sampling) Qualifications and Experience: Experience Range: - 3-5 Years. A Bachelor degree in any science or engineering major with courses in physics, mathematics and numerical programming. A minimum GPA of 3.5/4.0 scale A Master of Science degree in data science, analytics, or engineering with a thesis or research projects involving hands-on algorithm development, statistical analysis, and machine learning using Python. SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law. Show more Show less

Job Description: About the Role As a Senior Business Analyst, you will work on improving the reporting tools, methods, and processes of the team you are assigned to. You will also create and deliver weekly, monthly, and quarterly metrics critical for tracking and managing the business. You will manage numerous requests concurrently and strategically, prioritizing them when necessary. You will actively engage with internal partners throughout the organization to meet and exceed customer service levels and transport-related KPIs. You will brainstorm simple, scalable solutions to difficult problems, and seamlessly manage projects under your purview. You will maintain excellent relationships with our users – and in fact, advocate for them – while keeping in mind the business goals of your team. What you will do Create various algorithms for optimizing demand and supply data Conduct analysis and solution-building based on insights captured from data Give insights to management and help in strategic planning Analyze metrics, key indicators and other available data sources to discover root causes of process defects Support business development and help to create efficient designs and solution processes Determine efficient utilization of resources Research and implement cost reduction opportunities Must have skills B.Tech/M.Tech /MBA in any discipline 2+ years of experience as a Business Analyst Proficiency in Advanced Excel and Advanced SQL (must-have) and Python(must have) Understanding of basic statistics and probability concepts Proven problem-solving skills Show more Show less

Role: On site: Noida Location Shift: US Shift (PST Zone) Timing: During Probation: 2:00 pm IST - 11:00 pm IST After Probation: 6:30 pm IST - 3:30 am IST (Note: Probation will be 03-06 months) Job Overview: We are seeking a motivated and results-driven Lead Generation Specialist to join our dynamic sales team at Threatcop. The Lead Generation Specialist will generate and nurture B2B leads through various outreach methods, including cold calling , cold emailing, and LinkedIn messaging. A key part of the role will involve leveraging advanced email marketing strategies, such as SPF, DKIM, DMARC, email warmup, and crafting B2B personas for targeted email sequences. Key Responsibilities: Generate SQL (sales-qualified lead) , a lead that has a high probability of converting into a customer using outbound cold calls , emails, and LinkedIn messaging, specifically targeting cybersecurity products and services. Implement SPF, DKIM, and DMARC for deliverability, conduct email warmup for sender reputation, develop B2B personas for targeted outreach, and create automated email sequences to nurture prospects. Design and execute targeted cold email campaigns, using LinkedIn for lead identification and engagement. Use the BANT (Budget-Authority-Need-Time) framework to qualify leads and schedule meetings or calls for the sales team. Track interactions and maintain accurate lead data in the CRM, ensuring all progress and metrics are recorded for reporting purposes. Consistently meet or exceed monthly and quarterly lead-generation goals and appointment-setting targets. Conduct in-depth research to identify high-growth industries and customer segments in cybersecurity and networking markets. Develop a comprehensive business development strategy to build and maintain a strong sales pipeline. Represent Threatcop at industry events, building relationships with key stakeholders, and driving partnerships. Requirements: Bachelor's or Master’s degree in Technology (B.Tech/BCA/M.Tech/MCA) or a related field. 2+ years of experience in B2B lead generation. Must be comfortable and skilled in conducting high-volume cold calls to potential prospects Hands-on experience with implementing SPF, DKIM, and DMARC for email deliverability, performing email warmups, and creating targeted B2B personas. Must possess full proficiency in both spoken and written English to communicate effectively with prospects and clients. Proficiency with CRM tools, email marketing platforms, and LinkedIn for lead generation and outreach. Why You'll Enjoy Working at Threatcop: Working with us allows you to gain hands-on experience and training on various industry-leading tools for database management and prospecting. Tools such as ZOHO CRM, Lusha, Apollo.io, Notion, LinkedIn Sales Navigator, and more will be at your disposal, empowering you to enhance your skills and streamline your work. Get the fast learning and exciting environment of a startup, combined with the stable work and strong performance of a bigger company. There's lots of room to learn, grow, and share your ideas. We also provide good benefits like health insurance, a gratuity payment, and Employees' Provident Fund (a savings plan for your future). We are an equal opportunity employer, where everyone has a fair chance. About Us: Threatcop Inc. is a leading People Security Management(PSM) company and a sister concern of Kratikal. Threatcop helps organizations reduce the impacts of cyber threats by strengthening the cybersecurity posture of employees. With a focus on reducing social engineering and email-based attacks, we transform employees from the weakest link to the strongest line of defense. Serving over 250+ large enterprises and 600+ SMEs across 30+ countries , Threatcop assists clients in sectors such as E-commerce, Finance, BFSI, Healthcare, Manufacturing, and Telecom with clients like Axis Bank, Gail India, ONGC, MaxLife Insurance, Daman Insurance, UNICOIL, NPCI, Tata Consumer Products and many others. We are a USA-based company, headquartered in Noida with offices in Mumbai, Pune, Bangalore, Chennai, Dubai, and Riyadh. We use the A-A-P-E (Assess, Aware, Protect, Empower) framework to deliver effective products such as TSAT, TLMS, TDMARC and TPIR to tackle evolving cyberthreats. By focusing on preventing human error, our People Security Management (PSM) approach empowers organizations to foster a culture of cybersecurity awareness to tackle modern cyber threats. For more details, visit us at: www.threatcop.com Show more Show less

Roles & Responsibilities Core Skills Strong knowledge of statistics and probability theory Proficiency in at least one programming language such as Python and SQL Experience with data visualization tools such as PowerBI Understanding of machine learning algorithms and models Knowledge of data cleaning and preprocessing techniques Experience with data analysis and interpretation Experience 3-4.5 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Python, Data Science About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru. Show more Show less

Job Overview We are seeking a motivated and results-driven Sales Development Representative (SDR) to join our dynamic sales team. The SDR will be responsible for generating leads and qualifying prospects through various outreach methods, including cold calling , cold emailing , and LinkedIn messaging . The ideal candidate is an excellent communicator, both verbally and in writing, and is fluent in English. Key Responsibilities: Generate SQL (sales-qualified lead), a lead that has a high probability of converting into a customer. Conduct high-volume outbound cold calls and emails to potential prospects specifically for cybersecurity products. Develop and execute targeted cold email campaigns and utilize LinkedIn to identify, connect, and engage with potential leads. Qualify leads based on the BANT ( Budget- Authority- Need- Time) Framework and set up meetings or calls for the sales team. Maintain accurate records of all interactions in the CRM system and track sales progress and metrics. Achieve or exceed monthly and quarterly targets for lead generation and appointments set. Conduct thorough market research to identify high-growth industries and customer segments in the cybersecurity and networking markets. Execute a comprehensive business development strategy, generating and nurturing leads into a strong sales pipeline. Deliver persuasive sales presentations, cultivate relationships with key stakeholders, and drive partnership programs. Showcasing the demo of the PSM product , understanding the scope and proposal drafting, and representing the company at industry events Qualifications: Bachelor’s or Master’s degree. 1+ years of experience in B2B SaaS product sales , ideally with cybersecurity or enterprise software, is a MUST have. Fluency in English (verbal and written communication) is a must. Strong research skills to identify and target relevant companies and contacts Why You'll Enjoy Working at Threatcop: Working with us allows you to gain hands-on experience and training on various industry-leading tools for database management and prospecting. Tools such as ZOHO CRM, Lusha, Apollo.io, Notion, LinkedIn Sales Navigator, and more will be at your disposal, empowering you to enhance your skills and streamline your work. Get the fast learning and exciting environment of a startup, combined with the stable work and strong performance of a bigger company. There's lots of room to learn, grow, and share your ideas. We also provide good benefits like health insurance, a gratuity payment, and Employees' Provident Fund (a savings plan for your future). We are an equal opportunity employer, where everyone has a fair chance. About Us: Threatcop Inc. is a leading People Security Management(PSM) company and a sister concern of Kratikal. Threatcop helps organizations reduce the impacts of cyber threats by strengthening the cybersecurity posture of employees. With a focus on reducing social engineering and email-based attacks, we transform employees from the weakest link to the strongest line of defense. Serving over 250+ large enterprises and 600+ SMEs across 30+ countries , Threatcop assists clients in sectors such as E-commerce, Finance, BFSI, Healthcare, Manufacturing, and Telecom with clients like Axis Bank, Gail India, ONGC, MaxLife Insurance, Daman Insurance, UNICOIL, NPCI, Tata Consumer Products and many others. We are a USA-based company, headquartered in Noida with offices in Mumbai, Pune, Bangalore, Chennai, Dubai, and Riyadh. We use the A-A-P-E (Assess, Aware, Protect, Empower) framework to deliver effective products such as TSAT, TLMS, TDMARC and TPIR to tackle evolving cyberthreats. By focusing on preventing human error, our People Security Management (PSM) approach empowers organizations to foster a culture of cybersecurity awareness to tackle modern cyber threats. For more details, visit us at: www.threatcop.com Show more Show less

Company Overview DevBytes is your ultimate go-to app for the latest content from the tech, startup, and dev worlds. With just a tap, you may dive into the freshest trends in AI, ML, cloud, AR/VR, cybersecurity, NLP, data science, DevOps, and everything coding. It is your one-stop platform for tech news on the fly, delivering trending updates daily from industry giants like Google, OpenAI, Apple, Meta, Amazon, X, Netflix, Tesla, Microsoft, SpaceX, and beyond. Stay in the loop on the stories that matter to you. Role and Responsibilities Design, develop, and optimize machine learning algorithms and models. Collaborate with cross-functional teams to integrate AI solutions into existing systems. Analyze large datasets to extract actionable insights and identify patterns. Research and implement state-of-the-art AI techniques and frameworks. Develop APIs or services to deploy models for real-world applications. Monitor and maintain the performance and accuracy of AI models in production. Ensure AI systems adhere to ethical guidelines, fairness, and privacy standards. Qualifications- Completed a Bachelor's/Master's in Computer Science or IT, with 2+ years of development experience. Experience with data preprocessing, feature engineering, and model evaluation. Solid understanding of probability, statistics, and data analysis Hands-on experience with Python. Proven ability to write clean, efficient, and modular code. Deep understanding of machine learning fundamentals. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Show more Show less

The Digital Marketing Executive is the key person in charge of executing the company’s digital marketing campaigns. He/she is involved throughout the campaign ideation, planning, implementation, measurement, and optimisation process. It is therefore essential that he/she has hands-on experience using various digital marketing platforms. Assist the team in the development of the overall digital marketing strategy Implement digital marketing activities across a broad range of digital marketing channels (SEO, SEM, Social Media, Email, Mobile, Display) Manage and maintain the company’s owned media including websites, mobile apps, and email/CRM software Manage the creation of relevant and engaging digital content for publishing onto various digital platforms Manage social media marketing campaigns Manage digital advertising campaigns (SEM, Display, Social, Programmatic) Manage SEO campaigns Set up conversion, pixel, and event tracking on the website and across various digital platforms Conduct research on market trends, brand’s audiences and competitors, and end-to-end consumer journey to drive engagements and conversions Analyze digital marketing analytics reports and share insights with the team to develop optimization plans Stay abreast of emerging digital tools and platforms, digital marketing trends, new technologies, and share insights with the rest of the team Requirements As the job scope of a Digital Marketing Executive is, it is not uncommon for employers to seek candidates with experience in coding, website development, paid advertising and blog writing skills. Having a portfolio and a proven track record of successfully executed digital marketing campaigns greatly increases the probability of being hired. Requires 1 – 3 years of experience. Skills Article Writing Business Writing Competitive Analysis Content Curation Content Development Content Marketing Content Management Content Management Systems Content Strategy Conversion Rate Optimization Copywriting Copy Editing Creative Writing Data Management Digital Advertising Digital Marketing Analytics Digital Marketing Strategy Display Advertising Email Marketing Software Email Strategy Facebook Marketing Google Ads Google Analytics Integrated Marketing Instagram Marketing Keyword Research LinkedIn Marketing Market Research Marketing Analytics Marketing Automation Marketing Budget Management Marketing Campaign Management Marketing Strategy Paid Media Advertising Paid Media Strategy Partnership Management Pay Per Click (PPC) Performance Management Performance Measurement Project Management Proposal Writing Relationship Marketing Report Writing Search Engine Marketing Search Engine Optimization Search Engine Optimization Copywriting Social Listening Social Media Advertising Social Media Analytics Social Media Content Creation Social Media Marketing Social Media Optimization Stakeholder Engagement and Management Technical Writing User Experience Design User Interface Design Video Marketing Visual Communication Visual Design Web Analytics Website Optimization Youtube Advertising Youtube Marketing Show more Show less

Jubilant Bhartia Group Jubilant Bhartia Group is a global conglomerate founded by Mr. Shyam S Bhartia and Mr. Hari S Bhartia with strong presence in diverse sectors like Pharmaceuticals, Contract Research and Development Services, Proprietary Novel Drugs, Life Science Ingredients, Agri Products, Performance Polymers, Food Service (QSR), Food, Auto, Consulting in Aerospace and Oilfield Services. Jubilant Bhartia Group has four flagships Companies- Jubilant Pharmova Limited, Jubilant Ingrevia Limited, Jubilant FoodWorks Limited and Jubilant Industries Limited. Currently the group has a global workforce of around 43,000 employees. About Jubilant Ingrevia Limited Jubilant Ingrevia is a Global Integrated Life Science Products & Innovative Solutions provider serving, Pharmaceutical, Agrochemical, Nutrition, Consumer and Industrial customers with our customised products & solutions that are innovative, cost effective and conforming to premium quality standards. Ingrevia is born out of a union of “Ingre” denoting Ingredients & “vie” in French meaning Life (i.e. Ingredients for Life) Jubilant Ingrevia history goes back to 1978 with the incorporation of VAM Organics Limited, which later became Jubilant Organosys and then Jubilant Life Sciences and now demerged to an independent entity as Jubilant Ingrevia Limited, which is listed in both the stock exchanges of India. Over the years, company has developed global capacities and leadership in chosen business segments. We have more than 40 years of experience in Life Science Chemicals, 30+ years of experience in Pyridine Chemistry and value added Specialty Chemicals, and 20+ years of experience in Vitamin B3, B4 and other Nutraceutical products. We have strategically segmented our business into three Business Segments as explained below. We are rapidly growing the revenue in all the three segments. Speciality Chemicals Segment : We propose to launch a new platform of Diketene & its value-added derivatives, forward integrate our crop protection chemicals to value-added agrochemicals (Herbicides, Fungicides & Insecticides) by adding new facilities. We are an established ‘partner of choice’ in CDMO, with more Invest plans in GMP & Non-GMP multi-product facility for Pharma & Crop Protection customers. Nutrition & Health Solutions Segment : We propose to expand the existing capacity of Vitamin B3 to continue being one of the market leaders and introduce new branded animal as well as human nutrition and health premixes. Chemical Intermediates Segment : We propose to expand our existing acetic anhydride capacity and add value added anhydrides and aldehydes and enhance volumes in speciality ethanol. We have 5 world-class manufacturing facilities i.e. One in UP at Gajraula, Two in Gujarat at Bharuch and Baroda, Two in Maharashtra at Nira and Ambernath . We operate 61 Plants across these 5 sites giving is multi-plant and multi-location advantage. Find out more about us at www.jubilantingrevia.com The Position Organization- Jubilant Ingrevia Limited Designation - Data Scientist Location- Noida. Job Summary: - Plays a crucial role in helping businesses make informed decisions by leveraging data & will c ollaborate with stakeholders, design data models, create algorithms, and share meaningful insights to drive business success Key Responsibilities. Work with supply chain, manufacturing, Sales managers, customer account managers and quality function to produce algorithms. Gathering and interpreting data from various sources. Cleaning and verifying the accuracy of data sets to ensure data integrity. Developing and implementing data collection systems and strategies to optimize efficiency and accuracy. Applying statistical techniques to analyze and interpret complex data sets. Develop and implement statistical models for predictive analysis. Build and deploy machine learning models to solve business problems. Creating visual representations of data through charts, graphs, and dashboards to communicate findings effectively. Develop dashboards and reports for ongoing monitoring and analysis. Create, modify and improve complex manufacturing schedule. Create scenario planning model for manufacturing, develop manufacturing schedule adherence probability model. Regularly monitoring and evaluating data quality, making recommendations for improvements as necessary, ensuring compliance with data privacy and security regulations. Person Profile . Qualification - B.E/M.Sc Maths/Statistics. Experience - 2-5 Yrs. Desired Skills Desired Skills & Must Have - 2-5 years of relevant experience in chemical/ manufacturing industry. Hands on Generative AI. Exposure to Agentic AI Proficiency in data analysis tools such as Microsoft Excel, SQL, and statistical software (e.g., R or Python). Proficiency in programming languages such as Python or R. Expertise in statistical analysis, machine learning algorithms, and data manipulation. Strong analytical and problem-solving skills with the ability to handle complex data sets. Excellent attention to detail and a high level of accuracy in data analysis. Solid knowledge of data visualization techniques and experience using visualization tools like Tableau or Power BI. Strong communication skills to present findings and insights to non-technical stakeholders effectively Knowledge of statistical methodologies and techniques, including regression analysis, clustering, and hypothesis testing. Familiarity with data modeling and database management concepts. Experience in manipulating and cleansing large data sets. Ability to work collaboratively in a team environment and adapt to changing priorities. Experience with big data technologies (e.g., Hadoop, Spark). Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud). Familiarity with data engineering and database technologies. Jubilant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, colour, gender identity or expression, genetic information, marital status, medical condition, national origin, political affiliation, race, ethnicity, religion or any other characteristic protected by applicable local laws, regulations and ordinances Show more Show less

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Defender Experts (DEX) Research team is at the forefront of Microsoft’s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left—disrupting threats early, before damage occurs—by transforming raw signals into intelligence that powers detection, disruption, and customer trust. We’re looking for a passionate and curious Data Scientist to join this high-impact team. In this role, you'll partner with researchers, hunters, and detection engineers to explore attacker behavior, operationalize entity graphs, and develop statistical and ML-driven models that enhance DEX’s detection efficacy. Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security. This is an opportunity to work on problems that matter—with cutting-edge data, a highly collaborative team, and the scale of Microsoft behind you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. Design and build robust, large-scale graph structures to model security entities, behaviors, and relationships. Develop and deploy scalable, production-grade AI/ML systems and intelligent agents for real-time threat detection, classification, and response. Collaborate closely with Security Research teams to integrate domain knowledge into data science workflows and enrich model development. Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment. Work with large-scale graph data: create, query, and process it efficiently to extract insights and power models. Lead initiatives involving Graph ML, Generative AI, and agent-based systems, driving innovation across threat detection, risk propagation, and incident response. Collaborate closely with engineering and product teams to integrate solutions into production platforms. Mentor junior team members and contribute to strategic decisions around model architecture, evaluation, and deployment. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field 6+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn) Strong foundation in statistics, probability, and applied machine learning techniques Experience working with large-scale datasets, telemetry, or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Show more Show less

Key Responsibilities Design, develop, and deploy machine learning models for prediction, recommendation, anomaly detection, NLP, or image processing tasks. Work with large, complex datasets to extract insights and build scalable solutions. Collaborate with data engineers to create efficient data pipelines and feature engineering workflows. Evaluate model performance using appropriate metrics and improve models through iterative testing and tuning. Communicate findings, insights, and model outputs clearly to non-technical stakeholders. Stay up to date with the latest machine learning research, frameworks, and technologies. Required Skills Strong programming skills in Python (Pandas, NumPy, Scikit-learn, etc.). Hands-on experience with ML/DL frameworks like TensorFlow, PyTorch, XGBoost, or LightGBM. Experience in building, deploying, and maintaining end-to-end ML models in production. Solid understanding of statistics, probability, and mathematical modeling. Proficiency with SQL and data manipulation in large-scale databases. Familiarity with version control (Git), CI/CD workflows, and model tracking tools (MLflow, DVC, etc.). Preferred Skills Experience with cloud platforms like AWS, GCP, or Azure (e.g., SageMaker, Vertex AI). Knowledge of MLOps practices and tools for scalable ML deployments. Exposure to real-time data processing or streaming (Kafka, Spark). Experience with NLP, Computer Vision, or Time Series Forecasting. Show more Show less

Appnext offers end-to-end discovery solutions covering all the touchpoints users have with their devices. Thanks to Appnext’s direct partnerships with top OEM brands and carriers, user engagement is achieved from the moment they personalize their device for the first time and throughout their daily mobile journey. Appnext ‘Timeline’, a patented behavioral analytics technology, is uniquely capable of predicting the apps users are likely to need next. This innovative solution means app developers and marketers can seamlessly engage with users directly on their smartphones through personalized, contextual recommendations. Established in 2012 and now with 12 offices globally, Appnext is the fastest-growing and largest independent mobile discovery platform in emerging markets. As a Machine Learning Engineer , you will be in charge of building end-to-end machine learning pipelines that operate at a huge scale, from data investigation, ingestions and model training to deployment, monitoring, and continuous optimization. You will ensure that each pipeline delivers measurable impact through experimentation, high-throughput inference, and seamless integration with business-critical systems. This job combines 70% machine learning engineering and 30% algorithm engineering and data science. We're seeking an Adtech pro who thrives in a team environment, possesses exceptional communication and analytical skills, and can navigate high-pressure demands of delivering results, taking ownership, and leveraging sales opportunities. Responsibilities: Build ML pipelines that train on real big data and perform on a massive scale. Handle a massive responsibility, Advertise on lucrative placement (Samsung appstore, Xiaomi phones, TrueCaller). Train models that will make billions of daily predictions and affect hundreds of millions users. Optimize and discover the best solution algorithm to data problems, from implementing exotic losses to efficient grid search. Validate and test everything. Every step should be measured and chosen via AB testing. Use of observability tools. Own your experiments and your pipelines. Be Frugal. Optimize the business solution at minimal cost. Advocate for AI. Be the voice of data science and machine learning, answering business needs. Build future products involving agentic AI and data science. Affect millions of users every instant and handle massive scale Requirements: MSc in CS/EE/STEM with at least 5 years of proven experience (or BSc with equivalent experience) as a Machine Learning Engineer: strong focus on MLOps, data analytics, software engineering, and applied data science- Must Hyper communicator: Ability to work with minimal supervision and maximal transparency. Must understand requirements rigorously, while frequently giving an efficient honest picture of his/hers work progress and results. Flawless verbal English- Must Strong problem-solving skills, drive projects from concept to production, working incrementally and smart. Ability to own features end-to-end, theory, implementation, and measurement. Articulate data-driven communication is also a must. Deep understanding of machine learning, including the internals of all important ML models and ML methodologies. Strong real experience in Python, and at least one other programming language (C#, C++, Java, Go…). Ability to write efficient, clear, and resilient production-grade code. Flawless in SQL. Strong background in probability and statistics. Experience with tools and ML models Experience with conducting A/B test. Experience with using cloud providers and services (AWS) and python frameworks: TensorFlow/PyTorch, Numpy, Pandas, SKLearn (Airflow, MLflow, Transformers, ONNX, Kafka are a plus). AI/LLMs assistance: Candidates have to hold all skills independently without using AI assist. With that candidates are expected to use AI effectively, safely and transparently. Preferred: Deep Knowledge in ML aspects including ML Theory, Optimization, Deep learning tinkering, RL, Uncertainty quantification, NLP, classical machine learning, performance measurement. Prompt engineering and Agentic workflows experience Web development skills Publication in leading machine learning conferences and/or medium blogs. Show more Show less

We are seeking a talented individual to join our Actuarial team at Marsh Mc Lennan. This role will be based in Mumbai/Gurgaon. This is a hybrid role that has a requirement of working at least three days a week in the office. We will count on you to: Reporting key metrics, self-service analytics products and analyse disparate data sets together for patterns and insights. Exploratory data analytics, Predictive models that forecast behaviours and cost and Data story telling by using the best-in-class BI tools Apply functional understanding of product and risk assessment and possible outcomes through scenario testing Analytics orientated approach to solve real business problems. What you need to have: The candidate should preferably have experience in insurance/reinsurance industry in their modelling/data science team up to 4 years. Cleared 4+ actuarial papers Detailed knowledge of actuarial pricing techniques Hands-on experience in BI tools –Qlik Sense & Tableau and Power BI (Good to have) and Analytics tools R/Python/VBA & techniques to build Model, Validate and implement. For sure having a good data science knowledge by working on some real projects. Applied math / stats skills, including GLM, Bayesian probability, and other machine-learning techniques such as decision tree / random forest etc. What makes you stand out? Strong academic rigour, and students passing with statistics and data science skills from IIT/NIT/IISC Strong programming skills and technical individual contributor P&C Actuarial experience with a Pricing background (especially in areas of applying regression techniques such as GLM). Ability to take initiatives to strive for improvement in analytics techniques, process and output. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being Marsh McLennan (NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh , Guy Carpenter , Mercer and Oliver Wyman . With annual revenue of $23 billion and more than 85,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marshmclennan.com , or follow on LinkedIn and X . Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person. Show more Show less

· Attach electrodes to patients using adhesives. · Summarize technical data to assist physicians to diagnose brain, sleep, or nervous system disorder · Conduct tests or studies such as electroencephalography (EEG), polysomnography (PSG), nerve conduction studies (NCS), electromyography (EMG), and intraoperative monitoring (IOM). · Calibrate, troubleshoot, or repair equipment and correct malfunctions as needed. · Conduct tests to determine cerebral death, the absence of brain activity, or the probability of recovery from a coma. · Measure patients' body parts and mark locations where electrodes are to be placed. · Adjust equipment to optimize viewing of the nervous system. · Collect patients' medical information needed to customize tests. · Measure visual, auditory, or somatosensory evoked potentials (EPs) to determine responses to stimuli. · Indicate artefacts or interferences derived from sources outside of the brain, such as poor electrode contact or patient movement, on electroneurodiagnostic recordings. · Monitor patients during tests or surgeries, using electroencephalographs (EEG), evoked potential (EP) instruments, or video recording equipment. · Set up, program, or record montages or electrical combinations when testing peripheral nerve, spinal cord, subcortical, or cortical responses. · Submit reports to physicians summarizing test results. Assist in training technicians, medical students, residents or other staff members. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Night shift Rotational shift Work Location: In person

Senior Applied & Data scientist Hyderabad, Telangana, India Date posted Jun 16, 2025 Job number 1830452 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Defender Experts (DEX) Research team is at the forefront of Microsoft’s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left—disrupting threats early, before damage occurs—by transforming raw signals into intelligence that powers detection, disruption, and customer trust. We’re looking for a passionate and curious Data Scientist to join this high-impact team. In this role, you'll partner with researchers, hunters, and detection engineers to explore attacker behavior, operationalize entity graphs, and develop statistical and ML-driven models that enhance DEX’s detection efficacy. Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security. This is an opportunity to work on problems that matter—with cutting-edge data, a highly collaborative team, and the scale of Microsoft behind you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field 6+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn) Strong foundation in statistics, probability, and applied machine learning techniques Experience working with large-scale datasets, telemetry, or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end Responsibilities Design and develop data-driven models and algorithms to identify emerging attacker behavior, anomalies, and threat patterns at scale Build and operationalize statistical/ML systems that power early-stage detection, disruption scoring, and alert prioritization within DEX workflows Analyze high-dimensional security telemetry (e.g., token usage, entity relationships, campaign data) to derive signal enrichment and protection insights Collaborate closely with security researchers, threat hunters, and engineers to translate hypotheses into deployable detection logic Lead data investigations on false positives, missed threats, or campaign-level attack patterns to inform detection strategy and service improvement Contribute to the design of entity-based graph pipelines and verdict propagation mechanisms for pre-breach signal interpretation Drive experimentation and model explainability to ensure robustness, interpretability, and operational relevance of developed systems Communicate technical findings to cross-functional stakeholders and influence product and detection roadmap decisions Author internal whitepapers, prototypes, or publications to push the boundaries of applied data science in security Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

General information Country India State Telangana City Hyderabad Job ID 44779 Department Development Experience Level EXECUTIVE Employment Status FULL_TIME Workplace Type On-site Description & Requirements As an Associate Machine Learning Engineer / Data Scientist, you will contribute to the advancement of research projects in artificial intelligence and machine learning. Your responsibilities will encompass areas such as large language models, image processing, and sentiment analysis. You will work collaboratively with development partners to incorporate AI research into products such as Digital Assistant and Document Capture. Essential Duties: Model Development: Assist in designing and implementing AI/ML models. Contribute to building innovative models and integrating them into existing systems. Fine-tuning Models: Support the fine-tuning of pre-trained models for specific tasks and domains. Ensure models are optimized for accuracy and efficiency. Data Clean-up: Conduct data analysis and pre-processing to ensure the quality and relevance of training datasets. Implement data cleaning techniques. Natural Language Processing (NLP): Assist in the development of NLP tasks like sentiment analysis, text classification, and language understanding. Large Language Models (LLMs): Work with state-of-the-art LLMs and explore their applications in various domains. Support continuous improvement and adaptation of LLMs. Research and Innovation: Stay updated with advancements in AI/ML, NLP, and LLMs. Experiment with new approaches to solve complex problems and improve methodologies. Deployment and Monitoring: Collaborate with DevOps teams to deploy AI/ML models. Implement monitoring mechanisms to track model performance. Documentation: Maintain clear documentation of AI/ML processes, models, and improvements to ensure knowledge sharing and collaboration. Basic Qualifications: Educational Background Programming and Tools Experience 1-2 years of total industry experience Minimum 6 months experience in ML & Data Science Skills Problem-Solving and Analytical Skills Good oral and written communication skills. Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics or a related field. Specialization or coursework in AI, ML, Statistics & Probability, DL, Computer Vision, Signal Processing, or NLP/NLU is a plus. Proficiency in programming languages commonly used in AI and ML, such as Python or R & querying languages like SQL. Experience in Cloud computing infrastructures like AWS Sagemaker or Azure ML for implementing ML solutions is highly preferred. Experience with relevant libraries and frameworks, such as scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. This role offers a great opportunity to work with cutting-edge AI/ML technologies and contribute to innovative projects in a collaborative environment. About Infor Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. For more information visit www.infor.com Our Values At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. Increasing diversity is important to reflect our markets, customers, partners, and communities we serve in now and in the future. We have a relentless commitment to a culture based on PBM. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees. Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the infor.com/about/careers webpage.

Today Top Secret/SCI Unspecified Unspecified IT - Data Science Camp Smith, HI (ON-SITE/OFFICE) Description SAIC Is seeking a Data Scientist to support our work at Camp Smith. This position will work to d evelop and implement data analytics techniques and applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. This candidate will: Applies data mining, data modeling, statistics, graph algorithms and machine learning to extract and analyze information from large structured and unstructured datasets to support analytics objectives. Visualizes, interprets, and reports data findings in dynamic data reports. Employs a variety of data manipulation and visualization tools to best convey information/results to customers. Comfortable working with data in a variety of formats including excel, CSV, JSON, XML. Supports the design, development, testing and implementation of web-based collaboration tools & platforms for data reporting. Plans and conducts software integration or testing, including analyzing and implementing test plans and scripts, in support of analytics objectives. Demonstrates proficiency with frequent scripting language use, such as Python (primary) or R and using packages commonly used in data science applications or advanced analytics such as SQL. Familiar with Kubernetes clusters and utilization of tools such as Prometheus or similar. Conduct exploratory data analysis for testing hypothesis. Utilization of Microsoft's Power BI, Tableau, and other toolsets to visualize data and share insights with senior decision makers. Proficient in Grafana as an open-source analytics and interactive visualization web application for monitoring application performance. Qualifications Required Technical Skills: Experience with scripting and programming, including Python and Java. Experience with data visualization tools and dashboard development such as Grafana, Power BI, or Tableau. Knowledge of probability, statistics, and machine learning. Experience with NoSQL databases, such as MongoDB or Accumulo and RDBMS databases such as Postgres or MySQL. Applied statistics skills, such as distributions, statistical testing, and regression. Scripting and programming skills using Python, scikit-learn library and other statistical analysis libraries/framework. Understanding of common programming paradigms APIs (pub/sub, REST, etc.). Worked in a medium to large-scale project using configuration management tools (Atlassian suite, Git, Github/Gitlab.). Required Personal Skills: Strong interpersonal, communication, and presentation skills. Able to manage and prioritize tasks to ensure optimum productivity. Able to present technical briefs, giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate. Able to lead discussions pertaining to technical subject matter. Have effective customer service skills required to interface with corporate and government customers. Able to effectively communicate with the Customer, command staff, and peer contractor personnel. Able to effectively operate standard computer-based business tools (including but not limited to Microsoft Word and Excel). Able to demonstrate excellent (clear and concise) written communication skills in a technical format, that will support in the development of all required plans and reports required of the program. Required Experience and Education: Bachelor of Science in the following preferred fields: Computer Science, Engineering, Information Systems, Information Technology or related fields. Additional experience and certifications may be considered in lieu of a degree. 9+ years of relevant experience. Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors. SAIC accepts applications on an ongoing basis and there is no deadline. Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site. GROUP ID: 10111346 R Recruiter APPLY NOW

Job Description: Junior Quantitative Analyst (Junior Quant) Position: Junior Quantitative Analyst Key Responsibilities: Assist in the development and testing of quantitative models for pricing, trading, or risk management. Analyze large datasets using statistical and machine learning techniques to identify patterns or opportunities. Support senior quants and traders with data-driven insights, simulations, and performance analysis. Work with Python, R, MATLAB, or similar tools to build and validate models. Collaborate with IT and development teams to implement models into production environments. Conduct backtesting and stress-testing of strategies using historical market data. Document methodologies, assumptions, and findings clearly for internal use. Key Skills & Qualifications: Bachelor’s or Master’s degree in Mathematics, Statistics, Physics, Computer Science, Engineering, or Quantitative Finance. Solid understanding of probability, statistics, linear algebra, and time-series analysis. Proficiency in programming languages such as Python, C++, R, or MATLAB. Familiarity with financial markets, derivatives, and trading concepts is a plus. Strong problem-solving abilities and attention to detail. Ability to work in a fast-paced, collaborative environment. Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹2,000,000.00 per year Schedule: Day shift Application Question(s): How many years of total relevant experience you have? What is your current CTC? What is your expected CTC? What is your Notice period? How many years of experience with programming languages such as Python, C++, R, or MATLAB? Work Location: In person

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary. Job Summary Warehouse The Assistant Manager - Warehouse will be based in Chennai Industrial Park and will be responsible to implement a successful operation by managing all distribution, warehouse functions. Provides materials, equipment, and supplies by directing receiving, warehousing, and distribution services; supervising staff. What a typical day looks like: Maintains receiving, warehousing, and distribution operations by initiating, coordinating, and enforcing program, operational, and personnel policies and procedures. Complies with local warehousing, material handling, and shipping requirements by studying existing and new legislation; enforcing adherence to requirements; advising management on needed actions. Safeguards warehouse operations and contents by establishing and monitoring security procedures and protocols. Controls inventory levels by conducting physical counts; reconciling with data storage system. Maintains physical condition of warehouse by planning and implementing new design layouts; inspecting equipment; issuing work orders for repair and requisitions for replacement. Achieves financial objectives by preparing an annual budget; scheduling expenditures; analyzing variances; initiating corrective actions. Monitors volume of business and determines appropriate work schedule. Sets productivity and establishes necessary controls to ensure objectives are met. Monitors condition and maintenance of operating / material handling equipment. Constantly monitors the efficient handling of shipments and receipts to create an error free culture. Reviews the loading and unloading schedules to maximize efficiencies and reduce expenses. Coordinate floor cycle counts, physical inventory and reconciling records. The experience we’re looking to add to our team: Typically requires a Bachelor's degree or equivalent experience and extensive knowledge of purchasing policies and practices in addition to 12 + years of materials experience with advanced experience using MRP systems. Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios and proportions to practical situations. Demonstrates expert functional, technical and people and/or process management skills as well as customer (external and internal) relationship skills. Demonstrates detailed expertise in very complex functional/technical area or broad breadth of knowledge in multiple areas; understands the strategic impact of the function across sites. Ability to effective present information to management and customers. Here are a few examples of what you’ll get for the great work you provide Health Insurance PTO #LP17 Job Category Global Procurement & Supply Chain Required Skills: Optional Skills: Flex pays for all costs associated with the application, interview or offer process, a candidate will not be asked for any payment related to these costs. Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).