8-12 years' experience in a statistical and/or data science role. Proven experience as a Data Scientist or similar role. Strong organizational and leadership skills. Degree in Computer Science, Data Science, Mathematics, or similar field. Deep knowledge of machine learning, statistics, optimization or related field. Experience in Linear and non-Linear Regression models including Multiple and Multivariate. Experience in Classification models including Ensemble techniques. Experience in Unsupervised models including K-Means, DBSCAN, LOF. Rich Experience in NLP techniques. Experience in Deep Learning techniques like CNN, RNN, etc. Strong real-time experience with atleast one of the machine language softwares like R, Python, Matlab is mandatory. Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.). Excellent written and verbal communication skills along with strong desire to work in cross functional teams. Attitude to thrive in a fun, fast-paced start-up like environment. Additional advantage of having experience in semi, unstructured databases like MongoDB, Cassandra, ArangoDB, Couchbase, GraphDB, etc. Optional: programming in C, C++, Java, .Net.

8-12 years experience in a statistical and/or data science role Proven experience as a Data Scientist or similar role Strong organizational and leadership skills Degree in Computer Science, Data Science, Mathematics, or similar field Deep knowledge of machine learning, statistics, optimization or related field Experience in Linear and non-Linear Regression models including Multiple and Multivariate Experience in Classification models including Ensemble techniques Experience in Unsupervised models including K-Means, DBSCAN, LOF Rich Experience in NLP techniques Experience in Deep Learning techniques like CNN, RNN, etc Strong real-time experience with atleast one of the machine language softwares like R, Python, Matlab is mandatory Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) Excellent written and verbal communication skills along with strong desire to work in cross functional teams Attitude to thrive in a fun, fast-paced start-up like environment Additional advantage of having experience in semi, unstructured databases like MongoDB, Cassandra, ArangoDB, Couchbase, GraphDB, etc Optional: programming in C, C++, Java, .Net.

Position Summary: We are looking for a Sr. Biostatistician with expertise in digital signal processing (DSP) , machine learning (ML) , and artificial intelligence (AI) to join our multidisciplinary team advancing digital health solutions. The ideal candidate is a life-long learner who thrives on tackling complex data challenges and contributing to impactful innovations in health and wellness technologies. You will work with physiological signals to generate insights that support product development, research studies, and user-centric analytics. Key Responsibilities: Analyze time-series and physiological data using statistical , ML/AI , and DSP techniques. Apply core statistical methods to model variability, trends, and associations in health-related data. Develop, evaluate, and optimize predictive models and signal processing algorithms using Python , MATLAB , and R . Design studies and experiments to assess algorithmic performance and real-world usability. Work cross-functionally with data scientists, engineers, and clinical researchers to translate findings into actionable product improvements. Maintain clear documentation of analysis plans, code, and results for internal sharing and scientific communication. Stay up to date with emerging tools and techniques in machine learning, statistics, and DSP , applying them creatively to solve real-world problems. Required Qualifications: MS or PhD in Biostatistics, Biomedical Engineering, Computer Science, Statistics, or a related field. 10+ years of experience in a biostatistics, signal processing, or data science rolepreferably in digital health or health technology domains. Strong working knowledge of statistics , ML/AI , and digital signal processing . Proficiency with scientific programming and data analysis using MATLAB , R , and Python . Demonstrated ability to learn and apply new algorithms and technologies in a fast-paced environment. Strong communication and teamwork skills; ability to explain complex technical topics to non-technical stakeholders. Self-motivated, detail-oriented, and intellectually curious. Preferred Qualifications: Experience with wearable sensor data, digital biomarker development, or mHealth platforms. Familiarity with data engineering tools and environments Track record of contributions to research publications, technical reports, or open-source projects. What Were Looking For: A curious thinker who enjoys solving meaningful problems with data A passionate learner who embraces new challenges and evolving technologies An enthusiastic collaborator who thrives in interdisciplinary teams A life-long learner who stays ahead of trends in digital health , AI , statistics , and DSP What We Offer: Competitive compensation and benefits A mission-driven, people-first culture Opportunities to grow alongside a high-impact team in a cutting-edge domain Flexibility and autonomy in your work environment Role & responsibilities

Role Summary As an Air Quality professional, you will be working closely with Earth, Environment and Ecology teams in WSP India on global projects. The ideal candidate for this role would have experience of working in a range of sectors like Transport, Civil Infrastructure, Water, Properties & Buildings, with a focus on the completion of assessments of air quality impacts from industrial and Infrastructure projects. Experience of completing air quality assessment including dispersion modelling, dust assessment and management, odour assessment and management, monitoring data analysis, and experience with hazardous material data analysis and occupational hygiene, would all be advantageous. You would be expected to have an educational background in Environmental Sciences & Technology with at least, 4+ years of professional experience. Responsibilities Undertake Air Quality assessments by applying appropriate analysis and evaluation, drawing on relevant guidance, international and national policy. Work under supervision of senior staff in specialty domains like air emission rate estimates, stack height determination, detailed dispersion modelling, ambient air quality and meteorological monitoring, meteorological monitoring, odour assessments and dust assessments. . Prepare technical reports (including the analysis and interpretation of model output and monitoring data). Analyse data of hazardous materials, occupational hygiene and prepare IAQ reports pertaining EHS studies. Analyse ecological field data and prepare ecological reports. In General, prepare graphical outputs based on ground investigations and data analysis. Assist with preparing expressions of interest, pre-qualifications, project proposals/bids, fee estimates and project work programmes and budgets. Maintain knowledge of current technical standards, good practice guidance, legislation, codes of practice and New Zealand standards. Ensure assignments are completed on schedule or in a timely manner and within budget. Work in sync with multidisciplinary, cross-cultural and geographically distributed teams; Integrate technical inputs from project peers to deliver the project outcome. Contribute on an on-going basis toward maintaining a safe working environment both for yourself and for those working with you or in your close vicinity; Ensure that confidentiality is respected, and proper work ethics are always maintained. Develop a professional profile with clients and the scientific community generally (including the publishing and/or presentation of papers). Desired Skills Experience in dispersion modelling for air quality assessment Experience in odour assessment Experience in dust management methods Experienced in the use of GIS to produce figures and plots. Familiarity with scripting and a range of digital tools used in data analysis. Proficient in data management skills; Good analytical skills and attention to detail. Ability to work effectively and competently with people at all levels; within and external to the organisation. Client centric, with strong organisational ability to optimise and prioritise conflicting demands in a busy environment, to achieve deadlines and see responsibilities through to completion. Resilient, comfortable with change and ambiguity; Results orientated, with a reputation for, and demonstrated achievement of, key strategic priorities. Ability to work collaboratively and demonstrated capability to perform effectively as part of a team across a matrix type structure. Good interpersonal and communication skills, including oral and written communication and particularly the ability to present ideas, information and advice in a way that is understandable by a range of audiences. Software Proficiencies Demonstrable hands-on proficiencies in a broad range of data analysis tools and dispersion modelling software such as R, Microsoft Excel, ArcMap, AERMOD, CALPUFF , ADMS-Roads and GRAL. Coding skills would be preferred: VBA, Python, SQL, R , etc. Candidate with Scripting skill would have advantaged: HTML/CSS, C++/C#, JavaScript etc. Qualifications MSc or MTech in Environmental Science and Technology or Environmental Engineering with focus on Air Quality. Membership of a relevant international professional body preferred. Experience 4+ years of hands-on professional experience Experience in global consulting organisations preferred

Job Summary : As a Senior Technical Architect, you will be responsible for designing and implementing robust, scalable, and high-performance AI and Generative AI solutions. You will work closely with crossfunctional teams to ensure that our technical architecture aligns with business goals and industry best practices. Key Responsibilities: Design and develop AI and Generative AI architecture solutions that meet business requirements. Be hands-on in coding, prototyping, and testing solutions. Collaborate with stakeholders to understand their needs and translate them into technical specifications. Apply AI solutions across various industries and business functions Develop versatile AI models that can be adapted for multiple use cases • Lead the technical design and development of AI/Gen AI-powered projects. Integrate and enhance existing tools and systems to leverage AI/Gen AI capabilities Develop and implement APIs for seamless integration with legacy and SaaS applications • Ensure compliance with industry standards and best practices during integration Ensure the scalability, performance, and security of solutions. Provide technical guidance and mentorship to development teams. Conduct code reviews and ensure adherence to best practices and coding standards. Stay updated with the latest industry trends and technologies. Troubleshoot and resolve technical issues as they arise. Document technical designs and processes. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as a Technical Architect or similar role. Strong knowledge of AI, Machine Learning, and Generative AI technologies. Proficiency in one or more of following programming languages Java, C++, Python, R Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work effectively in a collaborative team environment. Strong domain understanding Additional Qualifications: Experience with microservices architecture. Knowledge of DevOps practices and tools. Certification in relevant technologies or frameworks. Experience with Natural Language Processing (NLP) and Computer Vision.

Manager - Supply Chain and Manufacturing Practice Experience: Master's degree with 5+ years of relevant experience in Supply Chain Consulting/Supply Chain Analytics, with 8+ years of experience overall OR Graduate degree with 7+ years of relevant experience in Supply Chain Consulting/Supply Chain Analytics, with 10+ years of experience overall. Job Location: Primary Location: Bangalore, Chennai, Pune, Gurugram & Kolkata. The Practice team is currently based in Bangalore, but we are open to candidates wanting to work out of our Chennai, Pune, Kolkata.and NCR offices. In this role, you will be engaging with Supply Chain Leaders across the globe to define the need for Supply Chain solutions which involves process consulting, analytics and algorithms, technology, application development and last mile adoption through change management. You will be working with an extremely resourceful and talented team of Analysts & Senior Analysts at Tredence with primary focus on growing the relationship with the client on one hand, while leading the delivery team to ensure high quality deliverables on a day-to-day basis on the other. You should have a complete command over the project status and ability to judge the need of you rolling-up your sleeves and leading the team by example. As an Manager, you would be leading 3-5 client engagements at any point of time. These engagements would be of various nature - From a 4-6 week high intensity pilot to a 3-6 month full-scale solution implementation. You will be leading a team of highly motivated, energetic, and occasionally volatile(!) analysts and engineers. In this role you will have multiple career options to set as a goal for yourself which could range from being a Supply Chain Delivery Manager or a Supply Chain Process Consultant or a Supply Chain Solution Architect. This will be dependent on your inclination as well as your expertise in the mix of supply chain domain knowledge and analytical, statistical, and technical skills. Expectations from You: Overall, your role would require a mix of expertise in various proportions depending on the nature of the problem in hand to make ourselves an indispensable thought and solution partner for our clients. Thus, a Manager should have - - A good process consulting mindset to understand roots of the problem and complexity of the solution to be built - An analytical mindset to be able to leverage data to build relevant solutions - A technical mindset to be able to give a sustainable and scalable and client-self-serve design to the solution - A program management mindset to enable the last mile delivery of the solution to ensure adoption of the solution in the smoothest possible manner - A product management mindset in order to design and develop repeatable solution assets. - And, a growth mindset to train and grow your teams and develop them into strong professionals. In terms of Supply Chain Domain Knowledge - You must possess an in-depth understanding of 1 or more functions within Supply chain (e.g. procurement, transportation etc.) and must be capable of holding independent conversations with the clients, driving the conversations through clear communication of your factual opinions on the above-mentioned area(s) of your expertise. - You must possess a wide exposure to functions across the SC value chain : Procurement / Inbound Logistics / Production / Inventory and Demand Planning / Outbound Logistics / Retailing - You may have to develop a good understanding or working knowledge of various modules of supply chain solutions and software to be able to have a meaningful conversation with the clients, in their own language In terms of Supply Chain Analytical skills - You should be comfortable designing and building repeatable tools / data-models to solve specific business problems - You should be comfortable leading your team of analysts and engineers, who would be working on: - Excel / SQL /Alteryx or similar platform for data processing - R/Python for logic building - Tableau / PowerBI or similar platforms for Data Visualization - You should be comfortable with concepts of applied mathematics and statistics which might be required to build a foolproof solution. What's in it for you Tremendously impactful role that provides an opportunity to grow and be part of Supply Chain Practice Leadership team while interfacing with global supply chain leaders from various large organizations Independence and ownership in design, execution, and P&L of your projects and account An opportunity to carve out a unique role that harnesses and grows your abilities as a thought leader and as an operational leader Work in an organization where the bar for talent, hunger for good work and aspiration for growth is very high - a place which will challenge as well as energize you Work with peers who are the best in Industry - People like you! Opportunity to exceed targets and be rewarded handsomely for it Required Skills

Naresh IT KPHB branch is hiring for an experienced Data Science trainer. Candidates Should have a good knowledge of Machine learning , Deep Learning , R Programming; Python, Statistics, Hadoop etc. Up to date knowledge of IT skills, software packages. Designing the Course modules as per the skills needed. Mandatory to have training experience.

Senior Business Analyst (Product Analytics) Exp 5 to 8 yrs Business Analytics profile, with a focus on B2C digital products SQL, Excel, Python, R Tableau, Power BI among others B2C product companies offering digital / Tech products

Job Type Full time Job Description Key Responsibilities: Analyze large datasets to extract actionable insights and drive data-driven decision-making. Develop predictive models and machine learning algorithms to solve business problems. Design and implement data preprocessing, feature engineering, and model training pipelines. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Communicate findings and recommendations to stakeholders through data visualization and storytelling. Stay abreast of the latest developments in data science, machine learning, and AI technologies. Required Skills: 3-4 years of hands-on experience in data analysis and machine learning. Proficiency in programming languages such as Python or R for data manipulation and analysis. Experience with machine learning libraries/frameworks such as scikit-learn, TensorFlow, or PyTorch. Strong understanding of statistical concepts and techniques. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau. Familiarity with SQL and relational databases for data querying and manipulation. Excellent problem-solving and analytical skills, with attention to detail. Good communication and collaboration skills, with the ability to work effectively in a team environment.

So, what’s the role all about? As a Product Owner you would oversee one or more products under the portfolio. Working with product leaders you will contribute to shaping the strategy, creating a plan, and driving execution towards launch. The Product Owner is responsible for establishing, maintaining, and planning the backlog for the assigned products, and working with R&D, Architects, DevOps and other dependent teams to deliver the solutions and with marketing, billing, and other teams towards launch. He/she is the product champion within the company for assigned products and will be viewed as the "expert" for accurate and credible information. How will you make an impact? Actively explore and apply user research, analysis, and stakeholder feedback into product requirements to ensure products satisfy customer needs as well as meet the needs of the business Understand overall strategy & vision, identify features to be built and contribute to the roadmap, prioritize features, build consensus, and coordinate product schedules with developers to deliver high-quality experiences for our application teams and our customers and partners Build use cases and user stories and communicate them effectively Maintain a roadmap that helps solving critical problems and delivers value to application users and the customers. Identify methods and metrics for identifying success and failures Coordinate with other Product Owners and Product Managers to ensure cohesiveness Demonstrates good judgment in selecting methods and techniques for driving innovation solutions Facilitate communication throughout the development process by partnering with key departments, especially engineering, services, operations, and corporate IT Works with cross-functional teams towards successful launch of new features Performs other duties, as assigned Acting subject matter expert expected to know and understand new features and feature improvement Day to day management, coordination, and delivery of projects related to assigned products Have you got what it takes? 8+ years of overall industry experience with 6+ years of product management experience with formal product management techniques, and tools involved in planning and delivering new software products and services Demonstrated strong product thinking, product management certifications a plus Prior experience in Contact Center domain a strong plus Demonstrated ability to understand and translate non-technical feature descriptions into structured use cases, requirements, and specifications for technical audiences Excellent oral and written communication skills in English including vocabulary, spelling, composition, and grammar Comprehension and understanding technical information well enough to convey in original written communications to multiple audience Strong listening skills to understand the points being made, and asking questions where appropriate including technical discussions High agency and bias for action; outcome driven Driven detail oriented, clear, logical thinker, bright and energetic Ability to influence cross-functional teams without formal authority Is honest, authentic and maintains a positive mental attitude Works well in fast paced, high-pressure environments with the ability focus on goals and objectives What’s in it for you? Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID:7177 Reporting into: Director, Product Management CX Role Type: Individual Contributor

Work experience 3-8 years Qualification Masters in statistics, mathematics, economics, or Bachelors in Engineering with a bent towards analytics/statistics Skills/ Experience: Ability to engage with stakeholders to understand business requirements and convert the same into technical problems for solution development Knowledge of analytical/statistical techniques similar to but not limited to linear and logistic regression, decision trees, random forests, support vector machines clustering etc. and their applications A working knowledge of/experience in SAS and R/Python is a must Experience in handling large volumes of data, data cleansing & data preparation Good communications skills, both written and spoken Ability to translate and integrate results of statistical models with business understanding to help in realizing business outcomes Knowledge of data visualization tools (Tableau, QlikView, etc.) is an added advantage Candidate should have worked hands-on as an individual contributor in developing predictive models in at least one of these areas - cross-sell / up-sell strategies, market segmentation, price optimization, customer retention, anomaly detection, etc. Candidate must be a strong team player Job responsibilities: Interact with internal stakeholders to capture business requirement Translate business requirements into statistical problem statements Perform multivariate analysis and design innovative solutions using statistical modeling and solve business problems Define project scope and deliverables that support business goals; collaborate with the concerned team to ensure timely delivery of projects

Role Responsibilities A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools?. A&R has a unique vantage point in the firm's risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights?. The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm's businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics? for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics?. Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 5+ years of financial or non-financial risk industry experience.

Role Responsibilities A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools?. A&R has a unique vantage point in the firm's risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights?. The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm's businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics? for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics?. Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 3+ years of financial or non-financial risk industry experience.

Role Responsibilities A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools?. A&R has a unique vantage point in the firm's risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights?. The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm's businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics? for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics?. Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 5+ years of financial or non-financial risk industry experience.

Role Responsibilities A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools. A&R has a unique vantage point in the firm's risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights. The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm's businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics. Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. [Vice President] 5+ years of financial or non-financial risk industry experience.

Data Scientist JD Someone with 57 years of experience in data collection, preprocessing and analysis of large enterprise-level data sets. Extensive proficiency in: Data Mining, mathematical and statistical analysis of data from various databases or data sources to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Strong problem-solving skills with an emphasis on product development. Experience in: Using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Working with and creating data architectures. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. Skills preferred: Coding knowledge and experience with several languages: Python, C, C++, Java, JavaScript, etc. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Experience using web services: Redshift, S3, Spark, DigitalOcean, etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc. Excellent Communication Skills it is incredibly important to describe findings to a technical and non-technical audience. Strong Software Engineering Background Hands-on experience with data science tools Problem-solving aptitude Analytical mind set and great business sense

Senior Data Scientist India - Pune At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. The ideal candidate should have a minimum 4s of years of experience in data science, with hands-on experience in developing and implementing Generative AI solutions. The Senior Data Scientist will be responsible for developing Machine Learning models and collaborating with cross-functional teams to solve complex business problems How will you make an impact? Develop and execute advanced analytics projects from end to end, including data collection, preprocessing, model development, evaluation, and deployment. Develop predictive models and machine learning algorithms to extract actionable insights from large and complex datasets. Utilize statistical techniques and quantitative analysis to identify trends, patterns, and correlations within the data. Collaborate with stakeholders to understand business requirements and translate them into analytical solutions that drive value and impact. Stay abreast of the latest advancements in Data Science, Machine Learning, Generative AI and recommend innovative approaches to solve business challenges Have you got what it takes? Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; advanced degree (Master's or Ph.D.) preferred. Minimum of 4 years of hands-on experience in data science and machine learning , with at least 6 months of experience in Generative AI development. Proficiency in programming languages such as Python or R, as well as experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, Hugging Face - Transformers, LangChain etc.). Strong understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, regression, classification, clustering, and deep learning. Strong understanding of LLMs, NLP techniques, and evaluation methods for generative outputs. Solid foundation in prompt engineering for optimizing AI-generated outputs across different tasks and domains. Excellent problem-solving skills and ability to work independently as well as collaboratively in a fast-paced environment. Strong communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences. Proven leadership abilities, with experience in mentoring junior team members and leading cross-functional projects. Publications or contributions to the data science community, such as conference presentations, research papers, or open-source projects. Preferred Qualifications: Experience working in industries such as finance, banking. Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and related services for building and deploying machine learning models. Knowledge of data visualization tools (e.g., Tableau, Power BI) for creating interactive dashboards and reports. Publications or contributions to the data science community, such as conference presentations, research papers, or open-source projects. Hands-on experience with vector databases (e.g. Pinecone) and embedding techniques. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7409 Reporting into: Tech Manager Role Type: Individual Contributor

Lead Quantitative Analytics Specialist ALM Modeling Balance sheet modeling IRRBB EVE FTP Deposit models Liquidity Risk models- Corporate Risk helps Wells Fargo businesses identify and manage risk. The team focuses on three key risk areas: credit risk, operational risk and market risk. As the company's second line of defense, Corporate Risk or Independent Risk Management provides independent oversight of risk-taking activities. Independent Risk Management establishes and maintains Wells Fargo's risk management program and provides oversight, including challenges to and independent assessment of the frontline's execution of its risk management responsibilities. Corporate Risk roles depend on a variety of skills, viz. data analysis and synthesis, root cause analysis, change management, process management & execution, risk governance, risk strategy, risk identification & assessment, risk prevention, controls & mitigation, risk monitoring, reporting & escalation, risk systems & technology. In this role, you will: Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly statistical theory Qualify monitor markets and forecast credit and operational risks Strategize short and long-term objectives, and provide analytical support for a wide array of business initiatives Utilize stochastic, structured securities, spread analysis, with the expertise in the theory and mathematics behind the analysis Review and assess models inclusive of technical, audit, and market perspectives Identify structure and scope of review Enable decision making for product and marketing with broad impact and act as key participant to develop and document analytical models Collaborate and consult with regulators and auditors Present results of analysis and strategies Required Qualifications: 5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science Desired Qualifications: Risk Modeling Group (RMG) Forecasting: The team is responsible for development and delivery of models leveraged for Credit Risk, Compliance Risk, and Operational Risk. These include models for credit and pre-provision net revenue (PPNR) forecasting, and fair lending. Deposit & PPNR: This team within RMG (Risk Modeling Group) Forecasting is responsible for driving entire model life cycle (model development, monitoring & forecasting) of Wells Fargo deposit balance and yield. Deposit & PPNR team support Pre-Provision Net Revenue (PPNR) estimates including forecasting deposit balance & rate models to support ALM, FP&A, CCAR and Recovery and Resolution Planning. Team is responsible for the design, development, delivery, monitoring and forecasting of econometric forecasting models for Deposit (Interest Expense), Fees (Non-II) & Expense (Non-IE) components to support business planning and economically sensitive CCAR submission. Enhance Deposit modeling framework effectively ensuring consistency in modeling methodologies, Annual/Semi-Annual validations and Audit- tracking thereby ensuring controlled model risk Contribute to the banks balance sheet and income statement modeling methodologies in support of asset & liability management (ALM), FP&A and capital planning by capturing interest rate risk in the banking book (IRRBB) by EVE Responsible for steering stakeholder conversations of user review and model challenge sessions with Business, Finance, Treasury and Model Risk Management for signoffs on Champion & Challenger models Conduct econometric and statistical analysis of time series and panel data sets Knowledge on Python/R/SAS is must Knowledge on model life cycle (development, monitoring, implementation and forecasting) and its intricacies are good to have Should possess strong documentation capabilities which would effectively convey complex models and processes Communicate design and results of complex models to a variety of audiences, including senior management, bank supervisors, Model Governance, Internal Audit and LOB end users Coordinate with business partners, including forecasting teams, and end users to ensure accurate model usage and implementation Adhere to model validation governance to ensure models are following policy and are working as intended, address model validation and regulatory feedback issues Solving model development and model analytics/forecasting challenges in python with quick turn arounds Master's degree or higher in a quantitative field such as Statistics/Economics 5+ years of experience in Deposit & PPNR, Treasury Analytics , or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 5+ years of experience in Deposit balance sheet modeling and treasury/liquidity analytics in support of asset & liability management (ALM), FP&A and capital planning by capturing interest rate risk in the banking book (IRRBB) by EVE 5+ years of advanced programming expertise in SAS or Python or R Strong documentation and project management capabilities with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment Excellent verbal, written, and interpersonal communication skills Strong ability to develop partnerships and collaborate with other business and functional areas Excellent verbal, written, and interpersonal communication skills Perform various complex activities related to deposit balance sheet modeling Provide analytical support for development, remediation, monitoring, and production of Deposit & PPNR models Support development, implementation, execution and monitoring of Regulatory models such as Basel, CECL, and CCAR models Develop dynamic dashboards; analyze key risk parameters to help understand changes in business and model performance Identify opportunities and deliver process improvements, standardization, rationalization and automations Enhance and standardize performance analysis, reporting packages and business loss forecast processes Maintain documentation for development, implementation and monitoring of processes across the team with focus on standardization of controls Ability to identify and manage complex issues and negotiate solutions within a geographically dispersed organization

Job Title: Data Analyst Location: Bangalore Experience: 6+ years Role Overview: We are seeking a skilled Data Analyst to support our platform powering operational intelligence across airports and similar sectors. The ideal candidate will have experience working with time-series datasets and operational information to uncover trends, anomalies, and actionable insights. This role will work closely with data engineers, ML teams, and domain experts to turn raw data into meaningful intelligence for business and operations stakeholders. Key Responsibilities • Analyze time-series and sensor data from various sources • Develop and maintain dashboards, reports, and visualizations to communicate key metrics and trends. • Correlate data from multiple systems (vision, weather, flight schedules, etc) to provide holistic insights. • Collaborate with AI/ML teams to support model validation and interpret AI-driven alerts (e.g., anomalies, intrusion detection). • Prepare and clean datasets for analysis and modeling; ensure data quality and consistency. • Work with stakeholders to understand reporting needs and deliver businessoriented outputs. Qualifications & Required Skills • Bachelors or Masters degree in Data Science, Statistics, Computer Science, Engineering, or a related field. • 5+ years of experience in a data analyst role, ideally in a technical/industrial domain. • Strong SQL skills and proficiency with BI/reporting tools (e.g., Power BI, Tableau, Grafana). • Hands-on experience analyzing structured and semi-structured data (JSON, CSV, time-series). • Proficiency in Python or R for data manipulation and exploratory analysis. • Understanding of time-series databases or streaming data (e.g., InfluxDB, Kafka, Kinesis). • Solid grasp of statistical analysis and anomaly detection methods. • Experience working with data from industrial systems or large-scale physical infrastructure. Good-to-Have Skills • Domain experience in airports, smart infrastructure, transportation, or logistics. • Familiarity with data platforms (Snowflake, BigQuery, Custom-built using opensource). • Exposure to tools like Airflow, Jupyter Notebooks and data quality frameworks. • Basic understanding of AI/ML workflows and data preparation requirements.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Maintaining forecast models for healthcare financial forecasting Understand and interpret the key drivers of health care trends; projecting expected revenue and cost Supporting cross-business analytics (Commercial, Medicare, & Medicaid) in developing consistent and appropriate modeling Conducting in-depth data extractions and analyses to provide actionable insights and drive decision-making Identifying and exploring new areas for analytical development in partnership with key stakeholders Developing high-quality written communications, persuasive presentations, and compelling deliverables tailored to client needs Designing analytics and extracting data leveraging technical skills in R, Python, Excel, SAS, and SQL Mentoring junior team members and training sessions to build internal capabilities Reviews work performed by others and provides recommendations for improvement. Lead analysts in to support and enhance the forecasting & reporting requirements of various clients Identify inefficiencies in process and models and proactively take steps to implement changes Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelors degree in Mathematics, Statistics, Science, Engineering, Economics, or another related technical field from an accredited college or university Total relevant work experience of 10+ years in Financial or Insurance domain Of which, 5+ years of actuarial or analytics experience in the US healthcare market Experience building analytics models using SAS or SQL or other programming system Extensive experience in building and maintaining Excel based models Experience in designing and executing complex analyses, including data extraction and analysis using R, Python, SQL, SAS, and/or VBA Advanced Proficiency in SAS (Statistical Analysis System) or SQL (Structure Query Language) or other programming system Proven ability to create and maintain efficient and scalable models Proven solid written and verbal communication skills and experience interacting with senior management #GEN At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone"“of every race, gender, sexuality, age, location and income"“deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes "” an enterprise priority reflected in our mission. #njp

As an R&D Engineer, this role will be responsible for designing, developing, and testing innovative software solutions using C++ and performing system testing on Linux. You have: Programming experience minimum 4+ with C++11/C++14/STL on Linux Work experience in OOPS/OOAD concepts Work experience in writing multithreaded code, design patterns Worked in protocols such as TCP/UDP/IP, TLS, and socket programming. Worked in REST and GRPC-based API development Worked in Docker/Kubernetes/Microservice Worked in CI/CD, Familiarity of 3GPP standards in particular IMS/SIP domain. It would be nice if you also had: Exposure to LTE/5G Domain Exposure to media stack with SIP/RTP/RTCP processing, Media Codecs, Gstreamer/ffmeg libraries etc. As an R&D Specialist you will drive the development of advanced technologies, with a focus on creating cutting-edge solutions for network infrastructure, cloud technologies, and complex systems. This role will provide you with the opportunity to work on pioneering projects in collaboration with global teams, using your expertise in architecture design and research. Development of advanced technologies with a focus on creating cutting-edge solutions for network infrastructure, cloud technologies, and complex systems.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here youll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; > Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systemsthe ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZSs Beyond Healthcare Analytics (BHCA) Team is shaping one of the key growth vector area for ZS, Beyond Healthcare engagement, comprising of clients from industries like Quick service restaurants, Technology, Food & Beverage, Hospitality, Travel, Insurance, Consumer Products Goods & other such industries across North America, Europe & South East Asia region. BHCA India team currently has presence across New Delhi, Pune and Bengaluru offices and is continuously expanding further at a great pace. BHCA India team works with colleagues across clients and geographies to create and deliver real world pragmatic solutions leveraging AI SaaS products & platforms, Generative AI applications, and other Advanced analytics solutions at scale. Associate Consultant, Customer Success, BHCA: Customer Success Associate Consultant design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to drive impact on client business (topline). This person will lead the engagement for AI based SaaS product deployment to clients across industries. Leverage their strong Data Science, analytics and engineering skills to build Advanced analytics processes, build scalable and operational process pipelines and find data-driven insights that help our clients solve their most important business problems and bring optimizations. Associate Consultants also engage with Project Leadership team and clients to help them understand the insights, summaries, implications and make plans to act on them. What Youll Do: Deep analytics-tech expertise: Develop and implement advanced algorithms that solve complex business problems in a computationally efficient and statistically effective manner leveraging tools like PySpark, Python, SQL on Client/ZS cloud environment Execute statistical and data modelling techniques (e.g. hypothesis testing, A/B Testing setup, marketing impact analytics, statistical validity etc.) on large data sets to identify trends, figures and other relevant information with scalable and operational process implementations. Evaluating emerging datasets and technologies that may contribute to our analytical platform including good understanding of Generative AI capabilities and SaaS products. Communication, collaboration, unstructured problem solving and client engagement (in a high performing and high intensity team environment) Problem solving and Client engagement Understand client business priorities, develop product use cases, do proforma analysis for estimating business opportunity, and deploy the use case for the clients. Collaboration: Work in a cross-functional team environment to lead the client engagement and collaborate on holistic solutions comprising of best practices from Frontend and Backend engineering, Data Science, and ML Engineering area. Storyboarding & impact communication Build effective storyboards to communicate solution impact to clients and ZS Leadership Scaling mindset: Provide a structure to client engagement, build and maintain standardized and operationalized Quality Checks on teams work and ensuring high quality client deliverables Team management Export best practices and learnings to broader team and mentor Associates on teams What Youll Bring: Bachelor's degree in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytics and quantitative coursework is required Knowledge of programming - Python (Deep Expertise), Pyspark, SQL Expertise in machine learning, regression, clustering, and classification models (preferably in a product environment) Knowledge of big data/advanced analytics concepts and algorithms (e.g. social listening, recommender systems, predictive modeling, etc.) Excellent oral and written communication skills Strong attention to detail, with a value-addition mindset Excellent critical thinking and problem-solving skills High motivation, good work ethic and maturity. 3-5 years of relevant post-collegiate work experience, preferably in industries like B2C, Product companies, in execution roles focused on Data & Decision Sciences, Data Engineering, Stakeholder management and building scalable processes. Should have hands on analytics experience where the candidate has worked on the algorithms / methodology from scratch and not merely executed existing codes and processes. Ability to coach, mentor juniors on the team to drive on the job learning & expertise building Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What You’ll Bring A master’s degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.). A proficiency in at least one programming language (e.g., Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

We are seeking a highly skilled Advanced Analytics Specialist to join our dynamic team. The successful candidate will be responsible for leveraging advanced analytics techniques to derive actionable insights, inform business decisions, and drive strategic initiatives. This role requires a deep understanding of data analysis, statistical modeling, machine learning, and data visualization. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop and implement advanced analytical models and algorithms to solve complex business problems, analyze large datasets to uncover trends, patterns, and insights that drive business performance. Collaborate with cross-functional teams to identify key business challenges and opportunities, Create and maintain data pipelines and workflows to ensure the accuracy and integrity of data, Design and deliver insightful reports and dashboards to communicate findings to stakeholders. Stay up to date with the latest advancements in analytics, machine learning, and data science. Provide technical expertise and mentorship to junior team members. QualificationsBachelor’s or master’s degree in data science, Statistics, Mathematics, Computer Science, or a related field. Proven experience in advanced analytics, data science, or a similar role. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools like Tableau, Power BI, or similar. Strong understanding of statistical modelling and machine learning algorithms. Excellent analytical, problem-solving, and critical thinking skills. Ability to communicate complex analytical concepts to non-technical stakeholders. Experience with big data technologies (e.g., Hadoop, Spark) is a plus Preferred technical and professional experience Familiarity with cloud-based analytics platforms (e.g., AWS, Azure). Knowledge of natural language processing (NLP) and deep learning techniques. Experience with project management and agile methodologies

We are seeking a skilled Data Analyst with expertise in Power BI and AI tools to join our dynamic team. In this role, you will be responsible for analyzing complex datasets, creating visually compelling reports and dashboards, and leveraging artificial intelligence to derive actionable insights. You will work closely with cross-functional teams to drive data-driven decision-making and improve operational efficiencies. Opportunity Maersk is a global leader in integrated logistics and have been industry pioneers for over a century. Through innovation and transformation, we are redefining the boundaries of possibility, continuously setting new standards for efficiency, sustainability, and excellence. At Maersk, we believe in the power of diversity, collaboration, and continuous learning and we work hard to ensure that the people in our organisation reflect and understand the customers we exist to serve. With over 100,000 employees across 130 countries, we work together to shape the future of global trade and logistics. Join us as we harness cutting-edge technologies and unlock opportunities on a global scale. Together, let's sail towards a brighter, more sustainable future with Maersk. We Offer A tailored onboarding and induction with access to a wide range of training schemes to help with your learning and development. Setting you up for success is important to us. An annual bonus based on company performance. Every colleague at Maersk has access to a fantastic range of wellbeing, mental health support and financial advice through our Employee Assistance Program. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. Whilst the role is advertised as full-time, we would be happy to discuss possible flexible working options and what that might look like for you. Job Summary: We are seeking a numbers-driven Data Analyst with strong proficiency in Power BI and Excel , as well as a solid understanding of AI tools to support our data-driven operations. In this role, you will analyze complex datasets, generate accurate operational reports, and deliver actionable insights that inform strategic and tactical decision-making across the organization. Key Responsibilities: Operational Reporting & Data Analysis: Collect, clean, and analyze large datasets from various sources to deliver actionable insights. Accurately understand and report on operational metrics and business performance , highlighting trends and anomalies. Create interactive and automated Power BI dashboards that visualize key performance indicators (KPIs) and support daily operational needs. Develop Excel-based reports for data exploration, quick analyses, and business reviews. Power BI & Analytical Tools Implementation: Design and implement Power BI solutions using Power Query, Power Pivot, and DAX. Collaborate with stakeholders to tailor reports and dashboards to business needs. Drive the adoption and usage of Power BI across departments by creating user-friendly and insightful visualizations. AI Tools & Advanced Analytics: Apply machine learning techniques and AI tools (e.g., Scikit-learn, Azure AI) to extract patterns and trends from datasets. Develop predictive models to support forecasting, customer behavior analysis, or performance optimization. Leverage AI capabilities to enhance data interpretation and automate insight generation. Cross-Functional Collaboration: Work with stakeholders from operations, marketing, finance, and other teams to translate business questions into analytical solutions . Provide strategic and operational support by delivering data in a format that is easy to understand and act on. Data Governance & Quality Control: Ensure data integrity and consistency through rigorous validation, cleansing, and quality checks. Maintain compliance with internal data governance and security standards. Continuous Improvement & Learning: Continuously refine reporting systems and tools to improve accuracy, usability, and performance. Stay up to date with developments in Power BI, Excel, AI tools, and industry best practices. Required Skills and Qualifications: Proven experience in data analysis and operational reporting. Proficient in Power BI (Power Query, DAX, Power Pivot) and Microsoft Excel (advanced formulas, pivot tables, lookups, etc.). Strong analytical mindset with attention to detail and accuracy in reporting. Skilled in working with large datasets and deriving meaningful insights. Experience in SQL for data extraction and transformation. Basic to intermediate knowledge of Python or R for data analysis (e.g., Pandas, NumPy, Seaborn). Effective communicator able to present data clearly to non-technical audiences. Team player with the ability to work cross-functionally and manage multiple priorities. Preferred Qualifications: Exposure to machine learning frameworks and predictive analytics. Understanding of data governance and data privacy principles. Key Success Metrics: Timely and accurate delivery of operational and business-critical reports. Clear and actionable data insights that drive process improvements and better decision-making. Enhanced adoption of Power BI and Excel-based reporting tools across business units.