2627 Data Science Jobs - Page 40

Job Title: Data Scientists Location: Navi Mumbai Duration: Fulltime Positions: Multiple We are looking for a highly skilled Data Scientists with deep expertise in time series forecasting, particularly in demand forecasting and customer lifecycle analytics (CLV). The ideal candidate will be proficient in Python or PySpark, have hands-on experience with tools like Prophet and ARIMA, and be comfortable working in Databricks environments. Familiarity with classic ML models and optimization techniques is a plus. Key Responsibilities • Develop, deploy, and maintain time series forecasting models (Prophet, ARIMA, etc.) for demand forecasting and customer behavior modeling. • Design and implement Customer Lifetime Value (CLV) models to drive customer retention and engagement strategies. • Process and analyze large datasets using PySpark or Python (Pandas). • Partner with cross-functional teams to identify business needs and translate them into data science solutions. • Leverage classic ML techniques (classification, regression) and boosting algorithms (e.g., XGBoost, LightGBM) to support broader analytics use cases. • Use Databricks for collaborative development, data pipelines, and model orchestration. • Apply optimization techniques where relevant to improve forecast accuracy and business decision-making. • Present actionable insights and communicate model results effectively to technical and non-technical stakeholders. Required Qualifications • Strong experience in Time Series Forecasting, with hands-on knowledge of Prophet, ARIMA, or equivalent Mandatory. • Proven track record in Demand Forecasting Highly Preferred. • Experience in modeling Customer Lifecycle Value (CLV) or similar customer analytics use cases – Highly Preferred. • Proficiency in Python (Pandas) or PySpark – Mandatory. • Experience with Databricks – Mandatory. • Solid foundation in statistics, predictive modeling, and machine learning

Graph Data Modeling & Implementation. Design and implement complex graph data models using Cypher and Neo4j best practices. Leverage APOC procedures, custom plugins, and advanced graph algorithms to solve domain-specific problems. Oversee integration of Neo4j with other enterprise systems, microservices, and data platforms. Develop and maintain APIs and services in Java, Python, or JavaScript to interact with the graph database. Mentor junior developers and review code to maintain high-quality standards. Establish guidelines for performance tuning, scalability, security, and disaster recovery in Neo4j environments. Work with data scientists, analysts, and business stakeholders to translate complex requirements into graph-based solutions. Skills Must have 12+ years in software/data engineering, with at least 3-5 years hands-on experience with Neo4j. Lead the technical strategy, architecture, and delivery of Neo4j-based solutions. Design, model, and implement complex graph data structures using Cypher and Neo4j best practices. Guide the integration of Neo4j with other data platforms and microservices. Collaborate with cross-functional teams to understand business needs and translate them into graph-based models. Mentor junior developers and ensure code quality through reviews and best practices. Define and enforce performance tuning, security standards, and disaster recovery strategies for Neo4j. Stay up-to-date with emerging technologies in the graph database and data engineering space. Strong proficiency in Cypher query language, graph modeling, and data visualization tools (e.g., Bloom, Neo4j Browser). Solid background in Java, Python, or JavaScript and experience integrating Neo4j with these languages. Experience with APOC procedures, Neo4j plugins, and query optimization. Familiarity with cloud platforms (AWS) and containerization tools (Docker, Kubernetes). Proven experience leading engineering teams or projects. Excellent problem-solving and communication skills. Nice to have N/A Other Languages English: C1 Advanced Seniority Senior Refer a Friend Positive work environments and stellar reputations attract and retain top talent. Find out why Luxoft stands apart from the rest. Recommend a friend Related jobs View all vacancies Senior Flexera Data Analyst Data Science India Bengaluru Senior Flexera Data Analyst Data Science India Chennai Data Scientist Data Science India Bengaluru Gurugram, India Req. VR-114556 Data Science BCM Industry 23/05/2025 Req. VR-114556 Apply for Data Engineer with Neo4j in Gurugram *

Graph Data Modeling & Implementation. Design and implement complex graph data models using Cypher and Neo4j best practices. Leverage APOC procedures, custom plugins, and advanced graph algorithms to solve domain-specific problems. Oversee integration of Neo4j with other enterprise systems, microservices, and data platforms. Develop and maintain APIs and services in Java, Python, or JavaScript to interact with the graph database. Mentor junior developers and review code to maintain high-quality standards. Establish guidelines for performance tuning, scalability, security, and disaster recovery in Neo4j environments. Work with data scientists, analysts, and business stakeholders to translate complex requirements into graph-based solutions. Skills Must have 12+ years in software/data engineering, with at least 3-5 years hands-on experience with Neo4j. Lead the technical strategy, architecture, and delivery of Neo4j-based solutions. Design, model, and implement complex graph data structures using Cypher and Neo4j best practices. Guide the integration of Neo4j with other data platforms and microservices. Collaborate with cross-functional teams to understand business needs and translate them into graph-based models. Mentor junior developers and ensure code quality through reviews and best practices. Define and enforce performance tuning, security standards, and disaster recovery strategies for Neo4j. Stay up-to-date with emerging technologies in the graph database and data engineering space. Strong proficiency in Cypher query language, graph modeling, and data visualization tools (e.g., Bloom, Neo4j Browser). Solid background in Java, Python, or JavaScript and experience integrating Neo4j with these languages. Experience with APOC procedures, Neo4j plugins, and query optimization. Familiarity with cloud platforms (AWS) and containerization tools (Docker, Kubernetes). Proven experience leading engineering teams or projects. Excellent problem-solving and communication skills. Nice to have N/A Other Languages English: C1 Advanced Seniority Senior Refer a Friend Positive work environments and stellar reputations attract and retain top talent. Find out why Luxoft stands apart from the rest. Recommend a friend Related jobs View all vacancies Senior Flexera Data Analyst Data Science India Gurugram Senior Flexera Data Analyst Data Science India Chennai Business Analyst Data Science Poland Remote Poland Bengaluru, India Req. VR-114556 Data Science BCM Industry 23/05/2025 Req. VR-114556 Apply for Data Engineer with Neo4j in Bengaluru *

Graph Data Modeling & Implementation. Design and implement complex graph data models using Cypher and Neo4j best practices. Leverage APOC procedures, custom plugins, and advanced graph algorithms to solve domain-specific problems. Oversee integration of Neo4j with other enterprise systems, microservices, and data platforms. Develop and maintain APIs and services in Java, Python, or JavaScript to interact with the graph database. Mentor junior developers and review code to maintain high-quality standards. Establish guidelines for performance tuning, scalability, security, and disaster recovery in Neo4j environments. Work with data scientists, analysts, and business stakeholders to translate complex requirements into graph-based solutions. Skills Must have 12+ years in software/data engineering, with at least 3-5 years hands-on experience with Neo4j. Lead the technical strategy, architecture, and delivery of Neo4j-based solutions. Design, model, and implement complex graph data structures using Cypher and Neo4j best practices. Guide the integration of Neo4j with other data platforms and microservices. Collaborate with cross-functional teams to understand business needs and translate them into graph-based models. Mentor junior developers and ensure code quality through reviews and best practices. Define and enforce performance tuning, security standards, and disaster recovery strategies for Neo4j. Stay up-to-date with emerging technologies in the graph database and data engineering space. Strong proficiency in Cypher query language, graph modeling, and data visualization tools (e.g., Bloom, Neo4j Browser). Solid background in Java, Python, or JavaScript and experience integrating Neo4j with these languages. Experience with APOC procedures, Neo4j plugins, and query optimization. Familiarity with cloud platforms (AWS) and containerization tools (Docker, Kubernetes). Proven experience leading engineering teams or projects. Excellent problem-solving and communication skills. Nice to have N/A Other Languages English: C1 Advanced Seniority Senior Refer a Friend Positive work environments and stellar reputations attract and retain top talent. Find out why Luxoft stands apart from the rest. Recommend a friend Related jobs View all vacancies Senior Flexera Data Analyst Data Science India Gurugram Senior Flexera Data Analyst Data Science India Bengaluru Data Scientist Data Science India Bengaluru Chennai, India Req. VR-114556 Data Science BCM Industry 23/05/2025 Req. VR-114556 Apply for Data Engineer with Neo4j in Chennai *

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 inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Review and resolve complex cases with an end to end mindset to prevent issues or inquiries from recurring. Scope open inventory for like issues for cases worked to group and resolve batches. Demonstrate a knowledge of end-to-end processes of multiple different types of capitated and delegated arrangements within the Value Based Care Model Identify and articulate trends occurring within a risk entity or across multiple risk entities within claims processing and cost share application Identify and articulate trends with our assigned delegates with the Sr. Issue Resolution Analyst and partner to work towards shift left initiatives Partner and collaborate internally and with Risk Entities to correct claims processing and cost share application errors to prevent recurring issues. Actively participate in meetings with cross functional areas aligned by risk entities to share findings Identify and communicate opportunities for improving issue resolution processes, including automation. Clearly document findings and solutions for trended issues after performing root cause analysis Perform reconciliation of member inquiry cases, respond to the specific issue of the inquiry, as well as review for and resolve other issues that may be present for the member, outside of the inquiry Support and communicate with the Sr. Issue Resolution Analyst assigned to your Delegate. Perform root cause and trend analysis of issues by assigned Delegate. Clearly document findings and solutions to prevent future issues Communicate effectively (both written and verbal) with business partners Manages emotions effectively in high-pressure situations, maintaining composure, and fosters a positive work environment conducive to collaboration and productivity 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: Degree or equivalent data science, analysis, mathematics experience Experience supporting operational teams' performance with reports and analytics Experience using Word (creating templates/documents), PowerPoint (creation and presentation), Teams, and SharePoint (document access/storage, sharing, List development and management) Basic understanding of reporting using Business Insights tools including Tableau and PowerBI Expertise in Excel (data entry, sorting/filtering) and VBA Proven ability to work across lines of business, claims platforms and on service provider/Delegate issues as needed Proven solid communication skills including oral, written, and organizational skills

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. At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers. Primary Responsibilities Develop and implement AI and machine learning strategies for several healthcare domains Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives Manage the development and deployment of AI and machine learning solutions Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively 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/master degree in computer science, engineering, mathematics, statistics, or a related discipline 12+ years of experience in Software Engineering, Data Science, or Analytics with 8+ years of experience in AI/ML engineering or related fields Experience with cloud platforms and services, such as AWS, Azure, GCP, etc. Experience in developing solutions in the NLP space and relevant projects Hands on Experience in AI and drive the development of innovative AI and machine learning solutions Demonstrated experience in leading and managing AI/ML teams and projects, from ideation to delivery and evaluation Experience with Azure development environments Knowledge of NLP literature, thrust areas, conference venues, and code repositories Familiarity with both open-source and OpenAI LLMs and RAG architecture Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering Proficient in Python and one of PySpark or Scala. Familiarity with python tools for data processing Proficiency in multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, deep learning, and NLP Proficiency in Python, R, or other programming languages for data analysis and AI/ML development Proficiency in libraries such as Hugging Face and OpenAI API Proven ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) Proven excellent communication, presentation, and interpersonal skills, with the ability to explain complex AI/ML concepts and results to technical and non-technical audiences Proven solid analytical, problem-solving, and decision-making skills, with the ability to balance innovation and pragmatism Proeven passion for learning and staying updated with the latest AI/ML trends and research

Analytical Wizards is part of the Definitive Healthcare family. We balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what s now to what s next by unlocking the value of their data and applications to solve their challenges, achieving outcomes that benefit both business and society. Our people are our biggest asset, they drive our innovation advantage and we strive to offer a flexible and collaborative workplace where they can thrive. We offer industry-leading benefits packages to promote a creative and inclusive culture. If driving real change gives you a sense of pride and you are passionate about powering social good, we d love to hear from you. Role: Software Engineer / Senior Software Engineer / Principal Software Engineer Office Location : Bangalore We write our code leveraging the Microsoft stack (ReactJS, .NET Core, MS SQL Server , PostgreSQL, AWS). We re relentless, curious, and doing the right thing is a tenet of the team s approach to solving business problems. We are flexible and collaborative. We all enjoy our work and helping one another is baked into our operating DNA. We believe in Agile software development principles. We are huge proponents of SOLID principles. The Software Engineer at Analytical Wizards: Has 3-5 years of experience in a fast-paced Agile software development environment Ensures software is built, according to business and technical specifications, on top of an error-free and high-performing platform Innovates! Performs code reviews and QA on team members work items Participates in Agile ceremonies Mentors more junior members of the team Is always thinking of better ways to do something Isn t afraid to fail Cares deeply about quality Can deliver high-quality software with minimal supervision Required Skills: Experience of 3-5 years experience in C#, .NET & .NET Core (5 & above) Solid computer science fundamentals - OOP concepts, SOLID principles & design patterns Experience with any relational databases (MS SQL / MySQL /Postgres) Experience working with public cloud like Azure/AWS/GCP (AWS is preferred) Experience with containerization using Docker & microservices Experience developing RESTful APIs Understanding of various types of testing (unit, system, integration, performance) General familiarity with cloud computing and serverless architectures Preferred Skills: Experience in front-end development (React, JavaScript, KendoUI) Exposure to GraphQL (HotChocloate) Exposure to DataDog or similar logging & monitoring tool Familiarity with NoSQL databases (MongoDB /DocumentDB) Why we love Analytical Wizards, and why you will too! Industry leading products Work hard, and have fun doing it Incredibly fast growth means limitless opportunity Flexible and dynamic culture Work alongside some of the most talented and dedicated teammates A collaborative and friendly culture with very high employee engagement About Company Company Name: AnalyticalWizards Services Pvt. Ltd. Profile: A leading, high growth Analytics Software Development company developing products that touch and positively impact human lives across the globe. We are headquartered in New Jersey and have a software development and delivery center in Bangalore. Our work is mainly focused on Healthcare Industry. We develop core data science products that help our clients draw unique insights from their big data and achieve their business goals. We use advanced algorithms in the space of artificial intelligence and machine learning. Our technology-based software products are being used by the top pharma and biotechnology companies of the world. We have been recognized twice as one of fastest growing private companies of USA. Work Culture: Employee-friendly, collaborative, innovative, fast-paced, and conducive to learning Company Address: AnalyticalWizards Services Private Limited, Fortune Summit Business Park, Ground Floor, Hosur Road, Sector 6, HSR Layout, Roopena Agrahara, Bangalore - 560068 Industry: Software Development and Data Science

Position: Data Scientist Location: Trivandrum Job Description : We are urgently looking for a motivated Data Scientist with a focus on Computer Vision and Machine Learning. The candidate will have a passion for solving complex problems using deep learning, image processing, and AI-driven techniques. He shall work closely with a team of data scientists, engineers, etc and to build, optimize, and deploy machine learning models for real-world applications Key Responsibilities : Develop, train, and optimize deep learning models for image classification, object detection, segmentation, and other computer vision tasks. Implement and fine-tune machine learning algorithms for structured and unstructured data analysis. Preprocess and augment image/video datasets to improve model accuracy and robustness. Work with frameworks such as YOLO, TensorFlow, PyTorch, and OpenCV to build scalable models. Assist in deploying models to production environments, including cloud and edge computing platforms. Collaborate with cross-functional teams to integrate AI solutions into existing workflows and products. Stay up-to-date with the latest research and trends in AI, computer vision, and machine learning. Qualifications : Bachelors or masters degree in computer science, Data Science, AI/ML, or a related field. Minimum of 3 year of professional experience in Python programming and AI/ML integrations Solid understanding of machine learning concepts, neural networks, and deep learning architectures. Hands-on experience in training and optimizing computer vision models. Familiarity with data preprocessing techniques, image annotation tools, and model evaluation metrics. Strong problem-solving skills and the ability to work in a fast-paced environment. Joining: Immediate to less than 30 days Budget: 13 - 14 LPA ",

About the Role We have an opportunity to join Tesco as the Range API Product Manager, within the Space, Range and Merchandising team where our mission is to ensure customers can get what they want, when they want and how they want, whether that is in their local store or online, in the UK or elsewhere. The products we range is at the absolute core of Tesco, and in Technology, we have ambitions to transform the Buying process to enable the best decisions to be made simply and easily, using data science. The range API is essential to that, ensuring that what we range meets legal and internal compliance standards and enabling products to be fulfilled by supply chain and sold through our tills by providing a simple, secure and accurate source of range data in a global and omnichannel environment. Reporting to the Lead Product Manager, you will be responsible for the future direction of the Range API, solving problems, encouraging your team and developing new features through quality, scalable, performant and maintainable technical solutions. The solutions that you will be responsible for will have a global reach, impacting millions of customers. As Product Manager, you will make priority calls regularly; balancing strategic goals with BAU needs and requirements that support wider Tesco programmes and teams, across the UK, ROI and Central Europe regions, and supporting all channels. It is an exciting time to join the team, as our broader transformation programme begins. You will have a central role to play in shaping the strategy and helping to realise our ambitions across space, range and merchandising. We are looking for an ambitious individual who can demonstrate a passion for solving problems, working collaboratively, and communicating with confidence, in what is a critical and complex area. What is in it for you At Tesco, we are committed to providing the best for you. As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day. Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits. Total Rewards offered at Tesco is determined by four principles -simple, fair, competitive, and sustainable. Salary - Your fixed pay is the guaranteed pay as per your contract of employment. Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company s policy. Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF. Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws. Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents. Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request. Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan. Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle. You will be responsible for Job Role & Responsibilities Contribute to the product vision, strategy and long-term roadmap for the product and execute it well by constantly managing the stakeholder s expectations and considering dependencies across multiple teams. Accountable for the performance of the product and achieving the Outcomes and Key Results (OKRs), relentlessly measuring, and communicating value to stakeholders. Work alongside research, analytics, and engineering teams to design and develop solutions that enable real business needs to be solved. Understands product discovery and can establish minimum viable product (MVP) for any new product/feature, collaborating with other product managers and engineering teams to validate the MVP. Present your product and its capabilities/outcomes to other teams, linking the API work to business value. Effectively document and explain new requirements to engineering teams using user stories and acceptance criteria and help the team in breaking down a complex piece of work into smaller, deliverable chunks of value that can be delivered faster. Steer sprint planning sessions by working with the engineering counterparts to plan sprints/ releases that deliver maximum business value in least effort. Prioritise, co-ordinate and communicate the resolution of live product issues. You will need Must have Knowledge and experience of product management best practice and methodologies and strong technical experience Technically competent to influence and understand the solution context and approach (legacy, tactical, strategic) and aid engineering in estimating the complexity of work being requested The ability to build strong working relationships with peers, stakeholders, and teams across the business. Able to leverage these relationships to build consensus, drive change, and deliver value Proven track record of owning a product roadmap and executing on product backlogs to achieve Outcomes & Key Results Carrying out product management of APIs, or complex data structures, and have a clear understanding of managing domain boundaries between related services.

Software Development Engineer III Back to job search results Tesco India Bengaluru Hybrid Full-Time Apply by 30-Jun-2025 About the role Refer you will be responsible section What is in it for you At Tesco, we are committed to providing the best for you. As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day. Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits. Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable. Salary - Your fixed pay is the guaranteed pay as per your contract of employment. Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the companys policy. Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF. Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws. Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents. Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request. Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan. Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle. You will be responsible for * Take a business problem and come up with the technical strategy (push vs pull etc real-time vs batches sync vs async) within the team high-level design and lead the implementation * Need minimal directions or guidance and collaborate with SDEs across teams working on the same or similar business problem * You showcase exemplary behaviour in your work - your design delivery code processes all set examples for your team * Influence your teams technical and business strategy by suggesting novel approaches * Able to communicate your ideas and get feedback from different stakeholders and drive convergence to achieve the right outcomes * Proactively mentor the rest of the team and help in hiring * Ensure design or architectural deficiencies are addressed and routinely simplify integration of your peer teams with your teams software * Consistently lead the delivery of valuable features * Continually propose and drive process improvements * Help elaborate requirements where necessary Programming * Demonstrate in depth knowledge of IDE language and toolset in language of choice. * Implement critical path components in a large or complex or project. * Demonstrate excellent understanding of language & framework and a good working knowledge of the abstraction layer underneath * Profile and optimise code * Understand threads threading model and concurrent programming * Comfortably test drive any feature/comfortable with TDD/BDD cycle * Demonstrate a good knowledge of other programming languages & paradigms and when to apply them * Comfortably debug/find complex problems Design * Identify and apply appropriate design patterns to problems * Comfortably develop large features * Understand idempotency * Demonstrate a good understanding of SOLID principles and how to apply * Understand the importance of domain model and can coherently model a problem domain within a given context * Anticipate medium-term (3-6 month) vectors of change and designs and abstracts accordingly * Understand and appreciate the simplicity and the value of removing code * Understand design patterns such as CQRS and eventual consistency * Understand how to design for performance at all levels Development Practice * Automate everything by default * Build a CI/CD pipeline * Automate security scanning and performance testing as part of the build Infrastructure * Demonstrate a good grasp of multiple operating systems * Demonstrate a good grasp of scripting techniques * Demonstrate expertise in one database & good grasp of multiple data storage paradigms and when to apply other technologies Security * Write secure code by default * Use tools to perform deep security probes Behaviours & Collaboration * Lead group discussions on the design of particular areas * Comfortably present information * Mentor and develop those around them * Understand domain well enough to work with PO to drive value * Share knowledge with the wider community Innovation * Comfortably evaluate new tools * Produce POCs to establish the usefulness of new tools * Understand when new tools may not be appropriate * Introduce new tools and methodologies when appropriate to simplify or increase the efficiency of development Technology Understanding * Deep understanding of distributed architecture scaling replication and sharding concepts and their applicability to the product being developed * Deep understanding of Micro Services Architecture You will need Refer you will be responsible section About us Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers. Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues Tesco Technology Today, our Technology team consists of over 5,000 experts spread across the UK, Poland, Hungary, the Czech Republic, and India. In India, our Technology division includes teams dedicated to Engineering, Product, Programme, Service Desk and Operations, Systems Engineering, Security & Capability, Data Science, and other roles. At Tesco, our retail platform comprises a wide array of capabilities, value propositions, and products, essential for crafting exceptional retail experiences for our customers and colleagues across all channels and markets. This platform encompasses all aspects of our operations - from identifying and authenticating customers, managing products, pricing, promoting, enabling customers to discover products, facilitating payment, and ensuring delivery. By developing a comprehensive Retail Platform, we ensure that as customer touchpoints and devices evolve, we can consistently deliver seamless experiences. This adaptability allows us to respond flexibly without the need to overhaul our technology, thanks to the creation of capabilities we have built. Apply

About Zocket: AI Assistant for Marketers Zocket empowers businesses to scale social media advertising seamlessly with advanced AI . From search to conversions, Zocket automates the entire workflow effortlessly. Headquartered in Chennai and San Francisco , with 500+ customers across 25+ countries. Our GenAI Product Suite: Creative Studio: Make ad creatives 10x faster, 20x better Audience Assistant: Precision targeting, platform-wide Snoop AI: Competitive & industry insights in seconds Insights AI: 360 performance dashboard across channels Growth Infra: Whitelisted infra for unbounded scale Trusted and Recognized: AWS GenAI Accelerator 2024 (Top 80 global startups) Google for Startups (GFSA Class VIII Ai-first) NASSCOM Gen AI Foundry 4.9 Trustpilot | #1 Product of the Day & Week on Product Hunt Key Responsibilities Design, build, and maintain robust ETL pipelines to process large-scale structured and unstructured data. Work with GraphQL databases and Vector DBs (e.g., Pinecone, Chroma) to power intelligent, AI-driven features. Build and optimize scalable ML pipelines and contribute to model lifecycle management . Implement real-time and batch data streaming solutions using Kafka and Spark . Work with Airflow to schedule and orchestrate data workflows. Develop efficient data models in PostgreSQL and ensure high-performance data access. Integrate and optimize Elasticsearch for fast search and analytics. Ensure high data quality and reliability through monitoring and automation. Collaborate with Product, Data Science, and Engineering teams to deliver scalable data solutions. Own the data infrastructure on AWS - from data lake to warehouse and analytics stack. Drive internal data tooling improvements and support analytics for business decision-making. Key Requirements 4-5 years of experience as a Data Engineer or in a similar backend/data-intensive role. Strong programming experience with Python and familiarity with ML model development workflows . Hands-on experience with GraphQL and Vector DBs (Pinecone, Chroma). Proficiency in PostgreSQL and working knowledge of NoSQL and search systems like Elasticsearch . Solid understanding of data engineering on AWS (EC2, S3, RDS, Redshift, etc.). Experience with Apache Kafka , Apache Spark , and Airflow is essential. Familiarity with modern ML Ops and data science integration is a plus. Strong analytical thinking and problem-solving skills.

AI Python Data Science Engineer Hot Openings As a data science and analytics engineer, you will be involved in developing computer visions and data algorithms. Artificial intelligence development and deep machine learning implementations will be part of your development and deployment to the cloud. Experience for senior positions: 4 - 5+ years Experience for junior positions: 2 - 3 years Required Tech Skills Experience in Python (must have) and/or R language. Experience with computer vision algorithms and data science. Experience in deep machine learning models. Well-versed in data visualization techniques. Troubleshoot and resolve code issues. Collaborate with data engineers to design and integrate the data sources. Experience in handling multiple priorities with Agile development. Experience with Git and working in a collaborative and distributive team environment. Required Soft Skills Excellent listening, verbal, and written communication skills. Strong interpersonal & customer relationship skills. Strong analytical, problem solving, and decision-making skills. Documentation skills. Apply now Hot Openings PHP + Node.js Developers Full Time Tech Development Experience 4 - 6+ years

#Jobs Team is looking for resources with a data analytics and data science background. Expert SQL skills.From the Data Science side must be able to write open source data models (not from scratch) but be able to talk through the process. SKILLS REQUIRED: 1. SQL skills must be strong. 2. Create Data Science operating models. 3. must have experience with Looker or Tableau. (Both are preferable) IDEAL CANDIDATE: SQL/Tableau/looker and building forecasting and open so

Role Summary As a member of the Data Science Center of Expertise (DSCOE), the DS Lead Analyst is responsible for leading and enabling Data Science within Cigna Group with demonstrable aptitude in Data Science (i) Technical Skills (ii) Leadership (iii) Scope & Impact (iv) Influence. Please see Qualifications section below for more details. The role will support the development and maintenance of machine learning models, with a focus on ensuring that models meet Cigna requirements for governance and legal compliance. The role will require collaboration with other data scientists and involve work across many lines of business. Key Responsibilities: Analyze model performance of new models with specific regards to requirements for legal compliance and governance standards around accuracy and bias; Perform periodic analyses of performance of existing models to ensure continued compliance with internal and external standards for accuracy and bias; Conduct research (i.e. literature review) to understand when bias may be biologically or medically justifiable, and to what degree, for example: finding evidence from literature that heart disease is more prevalent among older populations Using machine learning development tools to mitigate model bias when this is determined to be necessary Collaborating with data scientists, business stakeholders, and governance/compliance teams to ensure models meet compliance and governance standards Qualifications: Bachelors or Masters/PhD (preferred) in statistics or computer science or equivalent field with 5-8 years of relevant experience Strong proficiency in ML, statistics, python or R, SQL, version control (e.g., Git), health care data (e.g., claims, EHR) Ability to promote best coding practices, championing a culture of documentation/logging Thorough understanding of ML lifecycle, including necessary tradeoffs and associated risks Leadership in Data Science Can own a project end-to-end e.g., scoping, business value estimation, ideation, dev, prod, timeline Collaborates and guides junior team members in completion of projects and career development Works cross functionally with technical (e.g., Data Science, Data Engineering) and business (e.g., clinical, marketing, pricing, business analysts) to implement solutions with measurable value Scope and Impact Independently delivers clear and well-developed presentations for both technical and business audiences Creates data science specific project goals associated with project deliverables Articulates timeline changes, rationale, and goals to meet deadlines moving forward Values diversity, growth mindset, and improving health outcomes of our customers Level of Influence Communicate with stakeholders to identify opportunities and possible solutions based on business need Draft project charter, timeline, and features/stories Influence matrix-partner leadership

Job_Description":" At Ennoventure, we are redefining the fight against counterfeit goods with our groundbreaking technology. Backed by key investors like Fenice Investment Group and Tanglin Venture Partners, we are ready to embark on the next phase of our journey. Our aim? To build a world where authenticity reigns, ensuring every product and experience is genuine. Here, innovation moves fast, collaboration fuels success, and your growth isn\u2019t just encouraged\u2014it\u2019s inevitable. As a Lead Product Manager, you will drive exponential business growth by shaping product strategy, delivering exceptional user experiences, and leading cross-functional collaboration. You will work closely with data science, engineering, design, and commercial teams to build scalable, cutting-edge products that deliver significant value to a global customer base. Product Strategy & Vision - Define and evolve product strategy aligned with company goals and AI capabilities. - Translate AI advancements into differentiated product features with clear value for end-users. - Work with senior leadership to articulate product vision, business value, and a scalable roadmap. Customer Discovery & Market Analysis - Conduct in-depth customer research to understand user pain points, workflows, and unmet needs. - Analyze competitive landscape, market trends, and regulatory considerations in AI SaaS. Roadmap Ownership - Define product requirements and maintain a clear, prioritized roadmap. - Lead the product lifecycle from ideation to delivery and post-launch iterations. Cross-functional Leadership - Collaborate with engineering, design, and data science teams to build scalable, ethical, and user-centric AI products. - Partner with GTM teams (Sales, Marketing, Customer Success) to ensure successful product launches and feedback loops. Execution Excellence - Write detailed product specs, define OKRs, and drive sprint planning with agile teams. - Ensure timely delivery without compromising on quality or customer impact. AI-Product Interface - Work closely with machine learning engineers and data scientists to understand model capabilities and constraints. - Translate AI research and experiments into real-world applications and intuitive user experiences. Be the P&L Owner - Demonstrate strong business judgment and data obsession. - Own long-term growth strategies and drive measurable impact on the product P&L. Be the Product Evangelist - Engage in customer discovery to unlock more value and read market evolution that ensure the product evolves to meet new customer needs and market trends. - Be fearless and drive Product thought process across the organization. Requirements - 5+ years of product management experience, with at least 2 years in B2B SaaS. - Proven experience in delivering AI/ML-powered products (preferably in Computer Vision, predictive analytics, or intelligent automation). - Strong technical foundation \u2013 able to collaborate effectively with engineering and data science teams. - Demonstrated ability to drive product vision, strategy, and roadmap in a fast-growing environment. - Has owned and delivered successful product outcomes from opportunity identification to launch - Strong product sense \u2013 highly analytical, with the ability to identify the right problems, think big and long term, and make data-informed decisions. - Well-rounded solutioning skills \u2013 human-centered, business-focused, and technology-driven. - Builds lasting peer relationships and has the ability to motivate and inspire teams to perform at their best. - Excellent written and verbal communication skills, with the ability to influence stakeholders at all levels. - Strong user empathy and a passion for creating delightful user experiences with complex technology. - Familiarity with tools like JIRA, Figma, Product board, or similar. Nice to Have - Experience with AI model lifecycle (training, evaluation, deployment, retraining). - Understanding of data privacy, security, and ethical AI frameworks. - Prior startup experience or having scaled AI products in early-stage environments. Benefits We believe that our people are the driving force behind our success, fueling big ambitions with bigger impact. We\u2019re building more than just a workplace, we\u2019re crafting a space where everyone feels seen, heard, and unstoppable. Here, you don\u2019t just thrive, you grow, innovate, and leave a mark that matters. That\u2019s why we\u2019re committed to equipping you with the best: a Total Rewards Policy that integrates- - Pay: A Competitive Salary that reflects your talent and drive! - Financial Reward: Performance-based Rewards that recognize your impact. - Well-being: Comprehensive Health Insurance & Mental Health Programs to keep you at your best! - Learning: An ongoing investment in you and your skills. - Personalized Development: Self-growth plans crafted to match your performance and career aspirations. - Compensation Reviews: Regular reviews to ensure your value aligns with market trends. ","

Responsibilities: - Contribute and build an internal product library that is focused on solving business problems related to prediction & recommendation. Research unfamiliar methodologies, techniques to fine tune existing models in the product suite and, recommend better solutions and/or technologies. Improve features of the product to include newer machine learning algorithms in the likes of product recommendation, real time predictions, fraud detection, offer personalization etc Collaborate with client teams to on-board data, build models and score predictions. Participate in building automations and standalone applications around machine learning algorithms to enable a One Click solution to getting predictions and recommendations. Analyze large datasets, perform data wrangling operations, apply statistical treatments to filter and fine tune input data, engineer new features and eventually aid the process of building machine learning models. Run test cases to tune existing models for performance, check criteria and define thresholds for success by scaling the input data to multifold. Demonstrate a basic understanding of different machine learning concepts such as Regression, Classification, Matrix Factorization, K-fold Validations and different algorithms such as Decision Trees, Random Forrest, K-means clustering. Demonstrate working knowledge and contribute to building models using deep learning techniques, ensuring robust, scalable and high-performance solutions Minimum Qualifications: Education: Master's or PhD in a quantitative discipline (Statistics, Economics, Mathematics, Computer Science) is highly preferred. Deep Learning Mastery: Extensive experience with deep learning frameworks (TensorFlow, PyTorch, or Keras) and advanced deep learning projects across various domains, with a focus on multimodal data applications. Generative AI Expertise: Proven experience with generative AI models and techniques, such as RAG, VAEs, Transformers, and applications at scale in content creation or data augmentation. Programming and Big Data: Expert-level proficiency in Python and big data/cloud technologies (Databricks and Spark) with a minimum of 4-5 years of experience . Recommender Systems and Real-time Predictions: Expertise in developing sophisticated recommender systems, including the application of real-time prediction frameworks. Machine Learning Algorithms: In-depth experience with complex algorithms such as logistic regression, random forest, XGBoost, advanced neural networks, and ensemble methods. Experienced with machine learning algorithms such as logistic regression, random forest, XG boost, KNN, SVM, neural network, linear regression, lasso regression and k-means. Desirable Qualifications: Generative AI Tools Knowledge: Proficiency with tools and platforms for generative AI (such as OpenAI, Hugging Face Transformers). Databricks and Unity Catalog: Experience leveraging Databricks and Unity Catalog for robust data management, model deployment, and tracking. Working experience in CI/CD tools such as GIT & BitBucket

Analytical Wizards is part of the Definitive Healthcare family. We balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what s now to what s next by unlocking the value of their data and applications to solve their challenges, achieving outcomes that benefit both business and society. Our people are our biggest asset, they drive our innovation advantage and we strive to offer a flexible and collaborative workplace where they can thrive. We offer industry-leading benefits packages to promote a creative and inclusive culture. If driving real change gives you a sense of pride and you are passionate about powering social good, we d love to hear from you. Role: Senior Software Engineer / Principal Software Engineer Office Location : Bangalore We write our code leveraging the Microsoft stack (ReactJS, .NET Core, MS SQL Server , PostgreSQL, AWS). We re relentless, curious, and doing the right thing is a tenet of the team s approach to solving business problems. We are flexible and collaborative. We all enjoy our work and helping one another is baked into our operating DNA. We believe in Agile software development principles. We are huge proponents of SOLID principles. The Software Engineer at Analytical Wizards: Has 5+ years of experience in a fast-paced Agile software development environment Ensures software is built, according to business and technical specifications, on top of an error-free and high-performing platform Innovates! Performs code reviews and QA on team members work items Participates in Agile ceremonies Mentors more junior members of the team Is always thinking of better ways to do something Isn t afraid to fail Cares deeply about quality Can deliver high-quality software with minimal supervision Required Skills: Experience of 5+ years experience in C#, .NET & .NET Core (5 & above) Solid computer science fundamentals - OOP concepts, SOLID principles & design patterns Experience with any relational databases (MS SQL / MySQL /Postgres) Experience working with public cloud like Azure/AWS/GCP (AWS is preferred) Experience with containerization using Docker & microservices Experience developing RESTful APIs Understanding of various types of testing (unit, system, integration, performance) General familiarity with cloud computing and serverless architectures Preferred Skills: Experience in front-end development (React, JavaScript, KendoUI) Exposure to GraphQL (HotChocloate) Exposure to DataDog or similar logging & monitoring tool Familiarity with NoSQL databases (MongoDB /DocumentDB) Why we love Analytical Wizards, and why you will too! Industry leading products Work hard, and have fun doing it Incredibly fast growth means limitless opportunity Flexible and dynamic culture Work alongside some of the most talented and dedicated teammates A collaborative and friendly culture with very high employee engagement About Company Company Name: AnalyticalWizards Services Pvt. Ltd. Profile: A leading, high growth Analytics Software Development company developing products that touch and positively impact human lives across the globe. We are headquartered in New Jersey and have a software development and delivery center in Bangalore. Our work is mainly focused on Healthcare Industry. We develop core data science products that help our clients draw unique insights from their big data and achieve their business goals. We use advanced algorithms in the space of artificial intelligence and machine learning. Our technology-based software products are being used by the top pharma and biotechnology companies of the world. We have been recognized twice as one of fastest growing private companies of USA. Work Culture: Employee-friendly, collaborative, innovative, fast-paced, and conducive to learning Company Address: AnalyticalWizards Services Private Limited, Fortune Summit Business Park, Ground Floor, Hosur Road, Sector 6, HSR Layout, Roopena Agrahara, Bangalore - 560068 Industry: Software Development and Data Science

Job_Description":" Job Title: Data Science CoE Location: Hyderabad, India (Hybrid) Experience: 6+ years Role Type: Full-time Start Date : Immediate About the Role: As we build our Data Science Center of Excellence (CoE), we are looking for an entrepreneurial and technically strong Data Science Lead who can lay the foundation for a high-performing team. You will work directly with stakeholders across multiple business units to define use cases, lead model development, and ensure successful deployment and value realization. Key Responsibilities: Serve as the technical and strategic lead for the Data Science CoE. Partner with business leaders to identify use cases, assess feasibility, and define measurable outcomes. Design end-to-end data science solutions \u2014 from problem framing and data exploration to model development and deployment. Build and mentor a team of data scientists as the CoE scales. Promote best practices in experimentation, model development, versioning, documentation, and governance. Collaborate closely with engineering and data platform teams for scalable solution delivery. Evangelize data science best practices and build credibility through delivery of impactful projects. Qualifications: 10+ years of experience in applied data science, machine learning, or AI solutioning. Strong portfolio of business-impacting projects across domains such as customer analytics, personalization, marketing, pricing, operations, or product. Experience working with cloud platforms (AWS, Azure, or GCP) and modern data science tools (Python, R, SQL, etc.). Strong stakeholder management and communication skills to explain complex models in simple business terms. Prior experience in setting up data science teams, mentoring junior talent, and working in a cross-functional delivery environment. Exposure to MLOps and model deployment in production systems is a plus. ","

As we build our Data Science Center of Excellence (CoE), we are looking for an entrepreneurial and technically strong Data Science Lead who can lay the foundation for a high-performing team. You will work directly with stakeholders across multiple business units to define use cases, lead model development, and ensure successful deployment and value realization. Key Responsibilities: Serve as the technical and strategic lead for the Data Science CoE. Partner with business leaders to identify use cases, assess feasibility, and define measurable outcomes. Design end-to-end data science solutions \u2014 from problem framing and data exploration to model development and deployment. Build and mentor a team of data scientists as the CoE scales. Promote best practices in experimentation, model development, versioning, documentation, and governance. Collaborate closely with engineering and data platform teams for scalable solution delivery. Evangelize data science best practices and build credibility through delivery of impactful projects. Qualifications: 10+ years of experience in applied data science, machine learning, or AI solutioning. Strong portfolio of business-impacting projects across domains such as customer analytics, personalization, marketing, pricing, operations, or product. Experience working with cloud platforms (AWS, Azure, or GCP) and modern data science tools (Python, R, SQL, etc.). Strong stakeholder management and communication skills to explain complex models in simple business terms. Prior experience in setting up data science teams, mentoring junior talent, and working in a cross-functional delivery environment. Exposure to MLOps and model deployment in production systems is a plus. ","

We are establishing a Data Science Center of Excellence (CoE) to drive data-driven innovation and insights across multiple global business units. Were looking for a seasoned Product Manager to lead this initiative from inception to scale. This role will act as the strategic interface between business stakeholders and the data science team to define, prioritize, and deliver impactful data products and solutions. Key Responsibilities: Collaborate with global business leaders to identify and prioritize high-impact data science opportunities. Define the product vision, roadmap, and success metrics for the Data Science CoE. Lead the intake and discovery process for data science initiatives across portfolio companies. Translate complex business problems into well-defined data science use cases. Manage stakeholder expectations and ensure alignment across multiple business units. Collaborate with the Data Science Lead to scope projects, allocate resources, and monitor delivery. Establish governance practices for project intake, prioritization, and lifecycle management. Drive adoption of data products by focusing on user-centric design and clear communication of value. Qualifications: 10+ years of experience in product management, program management, or data/AI product ownership roles. Proven experience working with data science or analytics teams in a product or program capacity. Strong understanding of data science concepts, machine learning lifecycles, and value realization. Excellent stakeholder management, communication, and cross-functional leadership skills. Experience in setting up or scaling CoEs, innovation hubs, or enterprise-wide data/AI programs is preferred. Comfortable working in a global matrixed organization with distributed teams. ","

job requisition idJR1027508 Overall Responsibilities: Experience with Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI. Knowledge of algorithms, object-oriented and functional design principles, and best-practice patterns Solid understanding of common programming languages used in AI, such as Python, Java, C++, and R Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability Experience working with large data sets and writing efficient code capable of processing large data streams at speed. Skills: Machine Learning, Deep Learning, Computer Vision, NLP Strong hands-on experience in AI/ML/Data Science, including machine learning algorithms, deep learning, NLP, computer vision, etc. Knowledge of programming languages such as Python, R, SQL, etc. Experience with AI/ML/Data Science tools and frameworks such as TensorFlow, PyTorch, etc. Excellent problem-solving skills and ability to find creative solutions to complex data science problems. Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and clients Experience: Minimum 8-12 years of experience in AI/ML/Data Science, with at least 8+ years in a leadership role Proven track record of successfully delivering AI/ML/Data Science projects Experience in mentoring and leading a team of AI/ML/Data Science professionals Day-to-Day Activities: Lead AI/ML/Data Science projects, ensuring successful delivery Mentor and guide junior team members Collaborate with cross-functional teams to provide subject matter expertise in AI/ML/Data Science Stay updated with latest AI/ML/Data Science trends and technologies Identify and evaluate new business opportunities in AI/ML/Data Science Qualification: Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field Soft Skills: Excellent leadership and team management skills Strong interpersonal and communication skills Ability to work in a fast-paced and dynamic environment Good negotiation and stakeholder management skills Passionate about AI/ML/Data Science and staying updated with latest trends and technologies.

job requisition idJR1027352 Job Summary Synechron is seeking an analytical and innovative Senior Data Scientist to support and advance our data-driven initiatives. The ideal candidate will have a solid understanding of data science principles, hands-on experience with AI/ML tools and techniques, and the ability to interpret complex data sets to deliver actionable insights. This role contributes to the organizations strategic decision-making and technology innovation by applying advanced analytics and machine learning models in a collaborative environment. Software Required Skills: Python (including libraries such as pandas, scikit-learn, TensorFlow, PyTorch) proficiency in developing and deploying models R (optional, but preferred) Data management tools (SQL, NoSQL databases) Cloud platforms (preferably AWS or Azure) for data storage and ML deployment Jupyter Notebooks or similar interactive development environments Version control tools such as Git Preferred Skills: Big data technologies (Spark, Hadoop) Model deployment tools (MLflow, Docker, Kubernetes) Data visualization tools (Tableau, Power BI) Overall Responsibilities Analyze and interpret large and complex data sets to generate insights for business and technology initiatives. Assist in designing, developing, and implementing AI/ML models and algorithms to solve real-world problems. Collaborate with cross-functional teams including data engineers, software developers, and business analysts to integrate models into production systems. Stay current with emerging trends, research, and best practices in AI/ML/Data Science and apply them to ongoing projects. Document methodologies, modeling approaches, and insights clearly for technical and non-technical stakeholders. Support model validation, testing, and performance monitoring to ensure accuracy and reliability. Contribute to the development of data science workflows and standards within the organization. Performance Outcomes: Accurate and reliable data models that support strategic decision-making. Clear documentation and communication of findings and recommendations. Effective collaboration with technical teams to deploy scalable models. Continuous adoption of best practices in AI/ML and data management. Technical Skills (By Category) Programming Languages: Essential: Python (best practices in ML development), SQL Preferred: R, Java (for integration purposes) Databases/Data Management: SQL databases, NoSQL (MongoDB, Cassandra) Cloud data storage solutions (AWS S3, Azure Blob Storage) Cloud Technologies: AWS (S3, EC2, SageMaker, Lambda) Azure Machine Learning (preferred) Frameworks & Libraries: TensorFlow, PyTorch, scikit-learn, Keras, XGBoost Development Tools & Methodologies: Jupyter Notebooks, Git, CI/CD pipelines Agile and Scrum processes Security Protocols: Best practices in data security and privacy, GDPR compliance Experience 8+ years of professional experience in AI, ML, or Data Science roles. Proven hands-on experience designing and deploying ML models in real-world scenarios. Demonstrated ability to analyze complex data sets and translate findings into business insights. Previous experience working with cloud-based data science solutions is preferred. Strong portfolio showcasing data science projects, models developed, and practical impact. Alternative Pathways: Candidates with extensive research or academic experience in AI/ML can be considered, provided they demonstrate practical application of skills. Day-to-Day Activities Conduct data exploration, cleaning, feature engineering, and model development. Collaborate with data engineers to prepare data pipelines for model training. Build, validate, and refine machine learning models. Present insights, models, and recommendations to technical and business stakeholders. Support deployment of models into production environments. Monitor model performance and iterate to improve effectiveness. Participate in team meetings, project planning, and reviewing progress. Document methodologies and maintain version control of codebase. Qualifications Bachelors degree in Computer Science, Mathematics, Statistics, Data Science, or a related field; Masters or PhD highly desirable. Evidence of relevant coursework, certifications, or professional training in AI/ML. Professional certifications (e.g., AWS Certified Machine Learning Specialty, Microsoft Certified Data Scientist) are a plus. Commitment to ongoing professional development in AI/ML methodologies. Professional Competencies Strong analytical and critical thinking to solve complex problems. Effective communication skills for technical and non-technical audiences. Demonstrated ability to work collaboratively in diverse teams. Aptitude for learning new tools, techniques, and technologies rapidly. Innovation mindset with a focus on applying emerging research. Strong organizational skills to manage multiple projects and priorities.

Overview We are looking for a talented Generative AI Developer to join our dynamic team and contribute to our projects in transforming data into actionable insights. Responsibilities Design, develop, and implement generative AI models using Python and relevant libraries. Collaborate with data scientists to analyze data and improve model performance. Develop and maintain Flask APIs to serve AI models and facilitate integration with frontend applications. Utilize SQL for data manipulation and retrieval to support AI model training and evaluation. Engage in code reviews and contribute to best practices for software development. Stay updated with the latest trends and advancements in AI and machine learning technologies. Primary Skills: Proficient in Python (including libraries such as TensorFlow, PyTorch, or similar frameworks). Strong experience with SQL for database management and data querying. Familiarity with Generative AI tools and platforms (e.g., Gemini Pro). Experience in developing RESTful APIs using Flask. Secondary Skills: Understanding of machine learning concepts and algorithms. Familiarity with cloud computing services (e.g., AWS, Google Cloud) is a plus. Knowledge of data preprocessing and feature engineering techniques. Excellent problem-solving skills and ability to work in a collaborative team environment.

Overview The Senior Data Science Engineer will leverage advanced data science techniques to solve complex business problems, guide decision-making processes, and mentor junior team members. This role requires a combination of technical expertise in data analysis, machine learning, and project management skills. Responsibilities Data Analysis and Modeling Analyze large-scale telecom datasets to extract actionable insights and build predictive models for network optimization and customer retention. Conduct statistical analyses to validate models and ensure their effectiveness. Machine Learning Development Design and implement machine learning algorithms for fraud detection, churn prediction, and network failure analysis. Telecom-Specific Analytics Apply domain knowledge to improve customer experience by analyzing usage patterns, optimizing services, and predicting customer lifetime value. ETL Processes Develop robust pipelines for extracting, transforming, and loading telecom data from diverse sources. Collaboration Work closely with data scientists, software engineers, and telecom experts to deploy solutions that enhance operational efficiency. Data Governance : Ensure data integrity, privacy, security and compliance with industry standards Advanced degree in Data Science, Statistics, Computer Science, or a related field. Extensive experience in data science roles with a strong focus on machine learning and statistical modeling. Proficiency in programming languages such as Python or R and strong SQL skills. Familiarity with big data technologies (e.g., Hadoop, Spark) is advantageous. Expertise in cloud platforms such as AWS or Azure.

o Minimum of 4-6 years' experience in developing, testing, and deploying Python based applications on Azure/AWS platforms o Must have basic knowledge on concepts of Generative AI / LLMs / GPT o Deep understanding of architecture and work experience on Web Technologies o Python, SQL hands-on experience o Expertise in any popular python web frameworks e.g. flask, Django etc. o Familiarity with frontend technologies like HTML, JavaScript, REACT