5534 Data Science Jobs - Page 35

About the Company Rystad Energy is a leading global independent research and energy intelligence company dedicated to helping clients navigate the future of energy. By providing high-quality data and thought leadership, our international team empowers businesses, governments and organizations to make well-informed decisions. Our extensive portfolio of products and solutions covers all aspects of global energy fundamentals, spanning every corner of the oil and gas industry, renewables, clean technologies, supply chain and power markets. Headquartered in Oslo, Norway, with an expansive global network, our data, analysis, advisory and education services provide clients a competitive edge in the market. For more information, visit www.rystadenergy.com . Role Rystad Energy is looking for a dedicated Research Analyst with a passion for research and data analysis to join our Analyst Team. The Research Analyst will contribute to the development of our products by leveraging their expertise in data science and research methodologies to analyze market trends and support our client-facing activities. Key Responsibilities: Conduct thorough research and analysis of market trends within the energy and commodity markets. Update and maintain our databases with the latest industry information, ensuring data accuracy and relevance. Collaborate with the data team to support the development of data models and forecasting tools. Assist in translating complex research findings into actionable insights for clients. Participate in product development initiatives and contribute to the growth of our research capabilities. Engage with clients to understand their needs and provide research-based solutions. We are looking for motivated candidates with a strong academic track record and analytical mindset to strengthen our capacity within in-house modeling. Graduates (bachelor s or master s) with 1-2 years of experience. Stro

What the Candidate Will Do Build GenAI powered customer support assistants through prompt engineering 3P LLMs or fine-tuning custom LLMs. Work with stakeholders across engineering, product and data science to understand product requirements, prototype, iterate and launch GenAI assistants in production. Explore novel ideas and innovative solutions that can lead to a step change in our products. Basic Qualifications Masters degree in Computer Science or closely related field. Knowledge of latest ML algorithms such as GenAI, NLP, CV, recommendation systems. Coding chops, clean, elegant, bug-free code in languages like Java, GO Strong desire to learn and grow, while building the best-in-class systems Preferred Qualifications Deep knowledge of NLP theory and an understanding of the latest innovations in Generative AI Contributed to the broader technical community through tech talks, publications, open source projects, or other ways. Have a proven track record working across an organization not just across teams. *Accommodations may be available based on religious and/or medical conditions, or as required by applicable law.

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . s Proficient in programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage. Proficient in Statistical modelling and Machine techniques such as time series forecasting, Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, etc. Good exposure to deep learning and associated frameworks (PyTorch, TensorFlow, and Keras). Ability to perform preprocessing of structured and unstructured data Processing, cleansing, and validating the integrity of data to be used for analysis. Strong working experience with cloud platforms build, train, and deploy ML Models on Azure/AWS/GCP. Good working knowledge in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.). Handon experience in the MLOps (Dockerization, REST APIs and the CI/CD/CT processes). Adaptation of foundation models/LLMs to address specific business challenges. Utilizing version control for maintaining codebase integrity and collaboration, fostering a collaborative and errorfree development environment. Design, deploy and manage promptbased models on LLMs for various NLP tasks. Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency. Familiarity with LLM orchestration and agentic AI libraries. Good understanding of business and ability to translate domain problems to data science problem. Ability to communicate effectively with both technical and nontechnical stakeholders. Mandatory skill sets Python, GenAI ,Machine learning, data science Preferred skill sets Data analysis, SQL, MLOPS Years of experience required 5+ Education qualification BE/B.Tech/MBA/MCA Education Degrees/Field of Study required Master of Business Administration, Bachelor of Technology, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Large Language Model (LLM) FineTuning, Python for Data Analysis Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} Travel Requirements Available for Work Visa Sponsorship

We are seeking a talented and motivated Data Science/AI Engineer with 1-2 years of experience to join our innovative team. As a Data Science/AI Engineer with us, you will be responsible for developing, implementing, and optimizing machine learning models and algorithms to drive our data-driven decision-making processes and enhance our product offerings., Responsibilities: Develop and deploy machine learning models and algorithms to solve business problems. Analyze large, complex datasets to extract insights and identify patterns. Collaborate with cross-functional teams to define data requirements and deliver solutions. Build and maintain data pipelines and infrastructure for efficient data processing. Conduct exploratory data analysis and data visualization to communicate findings. Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies. Ensure the performance, scalability, and reliability of machine learning solutions., Requirements: 1-2 years of experience in data science, machine learning, or AI engineering. Strong programming skills in Python or R. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Proficiency in data manipulation and analysis using libraries such as Pandas and NumPy. Familiarity with data visualization tools like Matplotlib, Seaborn, or Plotly. Understanding of statistical analysis and hypothesis testing. Experience with SQL and NoSQL databases. Ability to write clean, well-documented, and maintainable code., Preferred Qualifications: Experience with cloud platforms such as AWS, Google Cloud, or Azure. Knowledge of natural language processing (NLP) techniques and tools. Familiarity with big data technologies like Hadoop or Spark. Understanding of deep learning architectures and techniques. Experience with version control systems (e.g., Git). Familiarity with Agile development methodologies., Soft Skills: Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Ability to work in a fast-paced, deadline-driven environment. . Please include Data Science/AI Engineer Application in the subject line.

karmanX - Expert-Led Career Programs in Full Stack & Data Analytics About the job Company Description karmanX is looking for some highly-dedicated Data Analysts to analyse student data and get the dynamic dashboards created with insights. Role Description This is a full-time remote role for a Data Analyst at karmanX. The Data Analyst will be responsible for analyzing data, creating data models, and utilizing statistical methods to interpret and present findings. The role will also involve effective communication of complex data-driven insights. Qualifications Analytical Skills, Data Analytics, and Statistics Strong Communication skills Data Modeling expertise Bachelors or Masters degree in Data Science, Statistics, Mathematics, or related field Experience with data visualization tools Strong problem-solving abilities Ability to work independently and collaboratively in a remote team Passion to deal with data sets 0-1 years of experience Remote work Current Employment Status How many years of work experience do you have

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

As the Senior PM for App Foundations, you will define the vision and strategy for how the Uber Driver App adapts intelligently across devices, environments, and user contexts. You will build systems and frameworks that ensure the app performs seamlessly under real-world conditions, while powering all the product experiences that rely on this foundation. You will take on a high-leverage, executive-backed charter to define and scale intelligent, context-aware systems that make the app smarter, more dynamic, and better equipped to support the next generation of experiences across devices, vehicles, and platforms. What the Candidate Will Need / Bonus Points What the Candidate Will Do ---- What you ll deliver in the first 6 months Vision & Strategy: Define and communicate a clear product vision for adaptive systems grounded in user needs and business goals Execution: Deliver short-term improvements to app performance and responsiveness across devices, markets, and conditions Product Development: Launch early adaptive UX capabilities that respond to real-world constraints such as network quality, battery, and device limitations. Experimentation: Design and run targeted experiments to test responsiveness, interaction patterns, and context-aware UX behavior Collaboration: Partner with engineering, design, and data science to move quickly from concept to shipped solution What you ll deliver in the first 12 months Roadmapping: Develop and execute a long-term roadmap for adaptive frameworks that support scale, reliability, and experience consistency Platform Enablement: Build shared systems and define product principles that enable teams to develop faster and more safely on core infrastructure Cross-functional Alignment: Drive alignment across product, engineering, and operations on platform goals and success metrics Strategic Positioning: Establish App Foundations as a critical enabler for future innovations in vehicles, voice, automation, and new modalities Basic Qualifications ---- 5+ years of product management experience in mobile or platform environments Proven success shipping high-impact products that span user-facing and system-level surfaces Technically fluent and comfortable working through architectural & implementation trade-offs with engineers Strong product judgment and UX instincts with a focus on quality and scale Comfortable navigating ambiguity, making structured decisions, and aligning cross-functional teams Self-starter who takes ownership and drives progress without close oversight Preferred Qualifications ---- Demonstrates systems thinking, with a track record of delivering scalable platform solutions Experience designing and running experiments to validate hypotheses and drive measurable product outcomes Exceptional communication and storytelling skills, including translating technical concepts for executive and cross-functional audiences Ubers mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let s move it forward, together. Offices continue to be central to collaboration and Ubers cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role. *Accommodations may be available based on religious and/or medical conditions, or as required by applicable law.

Merchant Product Org at Uber Eats has the vision of building the most preferred online delivery platform for merchants globally. This team helps build great experiences for Merchants across their entire lifecycle in running an online food delivery business. We are looking for a seasoned Group Product Manager to drive product-led growth initiatives for merchants to grow their business on Uber Eats by providing them the right technology tools and intelligence. In this role, you will be building products for heterogenous segments of merchants ranging from Large Enterprises (established food chains) to small independent restaurants globally. This is a high visibility role with potential to create strong global impact in a fast growing business. What the Candidate Will Do ---- Define the overall product strategy, goals, and roadmap to drive merchant growth Partner closely with engineering, dats science, design, user research, and product operations teams to build user-centric product with a high bar on quality Collaborate with operations, product marketing, global account management teams to define theGTM strategy and drive execution. Monitor product performance, learn, and iterate. Clearly communicate product plans, impact, and trade-offs to a wide spectrum of audiences, including partner teams and senior leadership teams. Build and manage a high performing team of product managers Basic Qualifications ---- Bachelors degree in engineering, business management, or equivalent 14+ years of overall experience with 8+ years as a product leader with a strong track record of creating impact at scale in product driven companies Demonstrated experience of working cross-functionally with engineering, design, data science, and operations stakeholders to solve complex user-facing problems Building and managing a high performing team of product managers Experience in independently framing high visibility OKRs, building 6-12 month product roadmaps, and driving execution for a product charter of moderate to high ambiguity Preferred Qualifications ---- Experience of building products in an online marketplace business (e-commerce, food delivery, etc.) and/or building products for small businesses Experience of working in a fast-paced global product company Experience of building products at large scale (100M+ user base) Experience in managing a team of product managers in highly reputed product-driven companies *Accommodations may be available based on religious and/or medical conditions, or as required by applicable law.

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

The pitch: Encourage 7 million worldwide drivers to deepen their engagement with the Uber platform Loyalty is a key bet for Uber for the foreseeable future, aligned to leadership objectives like increasing supply quality, and driver/courier success To be successful. Uber needs need to improve the discoverability & emphasize the benefits of participation in Loyalty Programs. Your role is to design and launch growth bets to improve access and engagement with the Loyalty platform and its programs: Uber Pro and Uber Eats Pro You will work closely with dedicated design and machine learning teams to build personalized experiences that help drivers gain valuable monetary incentives Execute in a high impact, high visibility team that is encouraging driver quality, a critical objective What the Candidate Will Do ---- For the first 6 months: Deliver a flexible loyalty trial system that scales across 3+ global loyalty programs Tune trials for impact across new and existing earners to win valuable quality for the business Deliver immediate user value with monetary incentives that balance behavior change with marketplace efficiency Provide driver recognition and timely feedback to connect drivers more deeply with the platform Design and launch a series of experiments that explore key hypotheses and deliver incremental wins for the business Build customer empathy through user research and data science partnerships Within the first 12 months: Co-create feedback framework with partners from data science, earnings, quality and more Develop a long term vision and strategy to help drivers track rewards, earnings, and incentives that many teams can contribute to Build frameworks for global teams teams to manage and track the impact of loyalty program trials Uncover new growth vectors that consider new lines of business around the world Basic Qualifications ---- Minimum 6 years experience as PM driving engagement You ve built successful roadmaps where many teams contribute part of the solution Deep experience partnering with design, data science, and engineering teams Comfortable with rapid experimentation and hypothesis driven development You set and meet ambitious goals and metric targets that are strategically aligned You re able to create and articulate a strategy that can be executed across many teams Preferred Qualifications ---- Background with loyalty or rewards systems Deep understanding of marketplace mechanics Owned strategy for whole products or lines of business *Accommodations may be available based on religious and/or medical conditions, or as required by applicable law.

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

What does the team do? We serve several hundred million ads daily to our users, sourcing them from both our direct demand and a network of partners integrated via ORTB channels or GAM. Delivering ads at this scale to a diverse user base requires deep neural network (DNN)-based recommendation models, along with a robust infrastructure to support seamless ad delivery. Beyond recommendation models, our system incorporates a sophisticated marketplace designed to maximize value for advertisers while ensuring optimal budget consumption at a predictable pace. Additionally, it upholds a fair and competitive environment for all partners by ensuring equitable auctions for each ad slot. Some of the key challenges our team addresses include: Developing personalized ad recommendation models. Building world-class infrastructure to deliver ads in near real-time. Maintaining a marketplace that ensures fair value delivery to advertisers while optimizing budget utilization. Ensuring a level playing field for all partners, whether integrated directly or through networks. Beyond this, there are exciting opportunities to deploy ML in the ADs ecosystem like on the network ADs side of things as well as on balancing ad revenue with regression in user experience. This is a high-impact role with direct revenue implications, where experimentation success rates are significantly higher due to our dynamic and fast-paced environment. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and were making big progress at a rapid pace. Who are you? Design and help develop systems that serve recommendations to over 300 million users Drive ML roadmap creation and execution, specifically around Ads Provide technical guidance in ML model formulation, implementation & experimentation, and take end to end ownership of ML systems, and key user satisfaction based metrics Drive architectural strategy and design for complex ML systems that support the needs of users, creators and content stakeholders Preferred Qualifications Hands-on experience training and serving large-scale models using frameworks such as Tensorflow or PyTorch Experience productionising machine learning models, and managing and designing end to end ML systems, and data pipelines Deep understanding of the mathematical foundations of Machine Learning algorithms Direct experience in building and applying large-scale (100M+ users) machine learning solutions for feed ranking, and personalizing recommendations. You stay up-to-date with the state-of-the-art technology in the domains of recommender systems, data engineering, and machine learning. Relevant publications in top tier applied machine learning conferences is a plus You have a Masters or PhD in ML, statistics, or an engineering field with 5+ years of experience

Roles and Responsibilities Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learningmodels used for text, image, or multimodal generation. Work with extensive and complex datasets, performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards forgenerative model training. Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored tobusiness needs. Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resource utilization. Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generativemodels in production. Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, andscalability. Document and communicate technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis onexplainability and responsible AI practices. Qualifications Required Educational Background: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. Relevant Ph.D. or research experience in generative AI is a plus. Experience: 2-5 years of experience in machine learning, with 2+ years in designing and implementing generative AI models or working specifically withtransformer-based models. Skills and Experience Required Generative AI: Transformer Models, GANs, VAEs, Text Generation, Image Generation Machine Learning: Algorithms, Deep Learning, Neural Networks Programming: Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlow MLOps: Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure) Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning Why you'll love working with us: Opportunity to work on technical challenges with global impact. Vast opportunities for self-development, including online university access and sponsored certifications. Sponsored Tech Talks & Hackathons to foster innovation and learning. Generous benefits package including health insurance, retirement benefits, flexible work hours, and more. Supportive work environment with forums to explore passions beyond work. This role presents an exciting opportunity for a motivated individual to contribute to the development of cutting-edge solutions while advancing their career in a dynamic and collaborative environment.

Roles and Responsibilities Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learning models used for text, image, or multimodal generation. Work with extensive and complex datasets, performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training. Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored to business needs. Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resource utilization. Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production. Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability. Document and communicate technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis on explainability and responsible AI practices. Qualifications Required Educational Background: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. Relevant Ph.D. or research experience in generative AI is a plus. Experience: 12 - 16 Years of experience in machine learning, with 8+ years in designing and implementing generative AI models or working specifically with transformer-based models. Skills and Experience Required Generative AI: Transformer Models, GANs, VAEs, Text Generation, Image Generation Machine Learning: Algorithms, Deep Learning, Neural Networks Langchain, GPT-4, Sagemaker/Bedrock Programming: Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlow MLOps: Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure) Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

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

Role: AI Solutions Architect - R&D Vacancies: 11 Year of Passing Out: 2025, 2024, 2023 Education: Bachelors/Masters/PhD in AI & Data Science, Machine Learning, Mathematics and Statistics. Job Location: Mandaveli, Chennai Key Responsibilities: - Architect scalable transformer-based AI model infrastructures. - Lead the development of an in-house AI framework and utilize it to build robust, scalable foundation models. - Collaborate with researchers to translate advanced research into robust, scalable architectures. - Evaluate existing AI infrastructures, propose enhancements, and optimize model deployments for performance, efficiency, and scalability. - Design and implement robust AI pipelines and workflows from prototyping through experimentation phases. - Develop novel frameworks and algorithms tailored to specific research goals. - Systematic exploration of scaling laws and hyperparameter configurations to optimize model performance and efficiency. - Provide technical leadership and mentorship on AI infrastructure and architectural decisions. - Stay abreast of the latest AI technologies, research developments, and emerging frameworks. Required Skills and Qualifications: - Strong logical reasoning and analytical skills. - Solid foundation in Mathematics including calculus, probability, statistics, and linear algebra. - Proficiency or willingness to learn programming languages such as Rust and CUDA for high-performance implementations. - Excellent problem-solving, and analytical skills. - Demonstrated ability to work in a collaborative, fast-paced research-driven environment. - Bachelors/Masters/PhD in AI & Data Science, Machine Learning, Mathematics and Statistics. What We Offer: - A dynamic and innovative work environment in a cutting-edge AI research team. - Opportunities for professional growth, mentorship, and learning. - Competitive salary and benefits. - Access to the latest tools and technologies in AI. Important: Please read the guidelines clearly before applying: https://blubridge.ai/join-our-team

Requirement : Bachelors Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 10+ years of relevant experience in Machine Learning, Statistics. Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint. Must have Skills and Experience Excellent communication skill, stakeholder management skill and should be able to frame problem statement into analytical approaches. Should have managed end to end project delivery independently in client facing fast paced environment Should have a strong appetite to do research, getting familiar with latest techniques on GenAI and come up with his/her own approach and experimentation Strong programming experience in Python and SQL/Pyspark Should have strong experience in Machine Learning and forecasting, with actual project experiences for application Strong in GenAI and NLP: Extensive experience in retrieval augmented generation and strong grasp in agents Should have good understanding of transformer architecture and traditional NLP Some familiarity with Computer Vision and Object Detection using common frameworks Experience in creating APIs to develop applications Should have extensive experience in working in Azure ecosystem, including but not limited to understanding of Azure Data factory, Azure Functions etc.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

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

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.