3308 Data Scientist Jobs - Page 11

Job title: Data Scientist Location: Noida- India- Onsite Duration: Fulltime NOTE: Candidates joining within 30 days from confirmation will only be considered. Job description: Develop and deploy predictive models and machine learning algorithms Analyze large, complex datasets to generate actionable insights Collaborate with cross-functional teams including R&D, commercial, and manufacturing Strong skills in Python, R, SQL, and machine learning libraries Experience with cloud platforms (AWS, Azure, or GCP) Pharma or healthcare industry experience highly preferred Excellent communication and problem-solving skills

Job Title: Data Science Expert (Mentor & Trainer) Location: Onsite – Mumbai, India Employment Type: Full-Time About the Role: We are seeking an experienced and highly skilled Data Science Expert to join our growing team at our Mumbai office. This is a full-time, onsite role focused not only on solving complex data problems but also on mentoring and training Junior Data Science Engineers . The ideal candidate will bring deep technical expertise in data science and machine learning, along with a passion for teaching and developing talent. Key Responsibilities: Lead the development of end-to-end data science solutions using advanced ML, NLP, and Computer Vision techniques. Train, mentor, and support junior data science engineers in coding, model development, and best practices. Architect and implement AI-driven solutions such as chatbots, OCR systems, and facial recognition applications. Translate complex business problems into actionable data science projects and deliver measurable results. Design and lead internal workshops, code reviews, and learning sessions to upskill the team. Collaborate with engineering and product teams to deploy models and insights into production environments. Stay abreast of the latest AI/ML trends and integrate cutting-edge techniques into projects where applicable. Desired Skills & Qualifications: Experience: 6+ years in Data Science/Machine Learning with at least 1–2 years of team mentoring or leadership experience. Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. Technical Expertise Required: Strong proficiency in Python and SQL ; R is a plus. Solid hands-on experience with Deep Learning and Neural Networks , particularly in Natural Language Processing (NLP) , Generative AI , and Computer Vision . Familiarity with frameworks and libraries such as TensorFlow , Keras , PyTorch , OpenCV , SpaCy , NLTK , BERT , ELMo , etc. Experience developing Chatbots , OCR , and Face Recognition systems is preferred. Hands-on knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform). Experience applying statistical and data mining techniques such as GLM , regression , clustering , random forests , boosting , decision trees , etc. Strong understanding of model validation , performance tuning , and deployment strategies . Soft Skills: Excellent communication and presentation skills, especially in explaining complex models to non-technical audiences. Demonstrated ability to mentor, train, and lead junior team members effectively. Strong analytical and problem-solving mindset with a detail-oriented approach. What We Offer: Competitive salary and benefits A collaborative and intellectually stimulating environment Career growth and leadership development opportunities within a fast-paced team

Position Description At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com. This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please. Your future duties and responsibilities Job Title: Data Scientist Position: Associate Consultant Experience : 4 to 7 Years Main location: Bangalore/Chennai/Hyderabad Position ID: J0825-0344 Employment Type: Full Time We are seeking a talented and experienced Data Scientist / MLOps Engineer to join our team. In this role, you will be responsible for developing and operationalizing machine learning models, with a focus on NLP sentiment analysis, scoring, app recommendations, and sales forecasting. You will work closely with cross-functional teams to implement these solutions using Google Cloud services, Kubernetes, and containerization technologies. Key Responsibilities: Develop and implement machine learning models for NLP sentiment analysis and scoring Create and optimize app recommendation systems using advanced ML techniques Build and maintain sales forecasting models to drive business insights Design and implement MLOps pipelines for model training, deployment, and monitoring Containerize ML applications and deploy them on Kubernetes clusters Collaborate with data engineers to design and implement data ingestion and wrangling pipelines using Google Cloud services Utilize BigQuery for large-scale data analysis and feature engineering Continuously improve model performance and operational efficiency Required Qualifications To Be Successful In This Role Master's degree in Computer Science, Data Science, or a related field 3+ years of experience in machine learning and data science roles Strong proficiency in Python and data science libraries (e.g., NumPy, Pandas, Scikit-learn) Expertise in NLP techniques and frameworks (e.g., NLTK, spaCy, Transformers) Experience with recommendation systems and time series forecasting Solid understanding of MLOps principles and practices Proficiency in Google Cloud Platform services, especially: AI/ML offerings (e.g., Vertex AI, AutoML) Data ingestion services (e.g., Cloud Dataflow, Cloud Pub/Sub) Data processing services (e.g., Dataprep, Cloud Dataproc) BigQuery for large-scale data analysis Experience with containerization (Docker) and orchestration (Kubernetes) Familiarity with CI/CD pipelines and version control systems (e.g., Git) Preferred Qualifications: Experience with TensorFlow and/or PyTorch Knowledge of other cloud platforms (e.g., Azure, AWS) is a plus Familiarity with big data technologies (e.g., Spark, Hadoop) Experience with ML model serving frameworks (e.g., TensorFlow Serving, KFServing) Understanding of data privacy and security best practices Experience with data visualization tools (e.g., Data Studio, Looker) Key Skills: Machine Learning Natural Language Processing Recommendation Systems Time Series Forecasting Google Cloud Platform BigQuery Cloud Dataflow Cloud Pub/Sub Dataprep Cloud Dataproc Vertex AI Kubernetes Docker Python MLOps Data Analysis and Visualization Data Ingestion and Wrangling Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

Als Data Scientist bij Wehkamp en Kleertjes.com speel je een sleutelrol in het omzetten van data naar directe bedrijfswaarde. Je ontwikkelt geavanceerde modellen en analyses die de klantervaring verbeteren en de bedrijfsstrategie vormgeven. Je bent niet alleen bezig met het ontwerpen van algoritmes; je hebt ook de technische vaardigheden om je modellen robuust te implementeren en ervoor te zorgen dat ze schaalbaar in een productieomgeving draaien. Je overziet het proces van hypothese tot operationeel data product. Verantwoordelijkheden En Taken Je ontwikkelt en integreert machine learning-modellen om producten aan te bevelen, de klantervaring te personaliseren en operationele processen te optimaliseren. Je voert verkennende data-analyses uit om trends en patronen te ontdekken die leiden tot bedrijfsverbetering. Je bent verantwoordelijk voor het end-to-end in gebruik nemen van je modellen, waarbij je zorgt voor efficiënte en betrouwbare prestaties. Je draagt actief bij aan het ontwerp en de optimalisatie van de data pipelines die jouw modellen voeden, in nauwe samenwerking met het data engineering team. Je ontwerpt en voert A/B-testen en andere experimenten uit om hypotheses te valideren en modelprestaties te evalueren. Je visualiseert en presenteert je bevindingen op een overtuigende manier aan zowel technische als niet-technische stakeholders. Interesse? Een masterdiploma in Data Science, Econometrie, Statistiek, Computerwetenschappen of een gerelateerde kwantitatieve opleiding. Diepgaande kennis van AI, statistiek en machine learning-algoritmes. Sterke programmeervaardigheden in Python. Praktische ervaring met big data-technologieën zoals Spark en bij voorkeur met het Databricks-platform. Ervaring met het werken in een cloud-omgeving en het begrijpen van de onderliggende infrastructuur. Sterke analytische en probleemoplossende mindset. EU-burgerschap en woonachtig in Nederland is vereist (bij voorkeur Nederlandstalig). Bonuspunten Voor Ervaring met datavisualisatietools zoals Tableau. Kennis van de basisprincipes van CI/CD en ervaring met Git. Praktische ervaring met het bouwen van data-intensieve applicaties. Wat zetten wij hier tegenover? Wij helpen jou elke dag om alles uit jouw carrière te halen. Jouw ontwikkeling en jouw persoonlijke groei zijn een wederzijdse commitment: WRG groeit, jij groeit. Jij groeit, WRG groeit. Verder Bieden We Salaris passend bij jouw ervaring; Vakantietoeslag van 10,5%; 25 vakantiedagen per jaar; Mogelijkheid tot sporten in onze eigen sportschool; Reiskostenvergoeding én een thuiswerkvergoeding; Goede pensioenregeling; Personeelskorting op nagenoeg het gehele assortiment van Wehkamp.nl

Dear Candidate, Greetings from HCL Tech!! We are hiring Data scientist – Machine Learning requirement Below is the JD for your perusal: JD: • Develop and implement AI models capable of accurate predictions. • Analyze input data to identify key factors influencing rapid movements, utilizing data-driven insights. • Establish and maintain a continuous learning framework to update models based on planner feedback. Skills: • Expert in AI and machine learning model development • Strong programming knowledge in Python If interested, kindly revert this mail with the details in the below format along with updated resume Name Contact Number Email ID Current Location Preferred Location Total Experience Relevant Experience Current Organisation Current CTC Expected CTC Notice Period Regards Durga Karunakaran HCL Technologies Ltd.

Noida, India Delivery 6-8 yrs Technology: Data Science Roles & Responsibilities: As a Data Scientist you will be using a scientific methods, algorithms, and systems to extract valuable insights and knowledge from structured and unstructured data. You will be analysing large volumes of complex data to identify patterns, trends, and correlations that can help organizations make data-driven decisions and solve problems. Must Have Skills: 6+ years of experience in Data Science. Exposure to data science through relevant projects, courses, or competitions. Machine learning models such as random forests, gradient-boosted trees, or neural networks. Hands on experience with Machine Learning/Deep Learning algorithms such as Linear Regression, Logistic Regression, Decision Tree, SVM, Random Forests, Recommendation System, CNN etc. Experience working with Generative AI / LLM (Large Language Models). Experience with big data techniques (such as Hadoop, MapReduce, Hive, Pig, Spark). Perform advanced analytics techniques to mine unstructured data. Communicate results and educate others through reports and presentations. Develop machine learning algorithms, particularly in forecasting. Analyze and model structured data and implement algorithms to support analysis using advanced statistical and mathematical methods and provide solutions to real business problems. Good communication and analytical skills. Should be technically sharp and can do attitude towards work. Good to Have Skills: Machine learning certification. Benefits: Gratuity benefits under Payment of Gratuity Act, 1972. Paid Leaves encashment. Lucrative Loyalty Bonuses. Referral bonuses. Monetary & Non- Monetary Awards under rewards and recognition policy. Free & delicious Lunch. Family Medical Insurance. Personal Accidental Insurance. Maternity Leave & Benefits. Flexible working hours. Annual Fun events like Picnics, New Year Bash etc. About Contata Solutions: Contata Solutions, founded in 2000, is a software company headquartered in Minneapolis, US with 5 offices including offshore centres in India – a Software Engineering Group based in the Delhi NCR region, back-office support group based in Nagpur & Indore India, and a sales office in Stockholm, Sweden. Since 2000, maintaining a legacy of continuous growth and expansion, Contata has a loyal client base distributed across the globe and a track record of having delivered hundreds of successful projects spanning a wide range of business domains and verticals specially with Digital Transformation, Data Analytics, ML/AI, Cloud & Consulting Services. We work on multiple software technologies – both, on premise and cloud based. These cover front end, backend and database level tools & technologies. We Believe in “Learn and Grow” Together Cutting Edge Technology Exposure: Work on the latest technology and make an impact on lives across the industry. Learning and Skill Development: Opportunity to learn and work in the software technology of your choice. Work with international customer teams directly and develop excellent consultative skills in solving their business problems. Training and Certification: Training and nurturing by industry-experienced mentors and unleash your full potential. Rewards and Recognitions: Rewards & Recognition scheme to acknowledge and reward our associates. Work-Life Balance: We believe a healthy mind and body are more productive and you can plan both "personal and professional" “To Do’s” with ease. Our Values Accountable Effort and results matter – we are intentional, responsible and results orientated, to our clients and to each other. Generous We believe in being generous in deeds and of spirit – with our clients our team and within our communities. Genuine Seeking truly authentic relationships – we are engaged, empathetic and transparent. Inventive We are in a relentless search of “better”, not just new – embracing the freedom to explore, create and express ideas, along with always learning from our successes and the mistakes we will make. Tenacious We believe in pursuing what's right - and pursuing continuous growth and improvement for our clients, for our company and for ourselves. We get better everyday.

Company Overview Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential. Our seasoned professionals deliver services based on Milestone’s best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT. With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity. Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed. Job Overview Role definition: Lead and assist in building advanced machine learning models, predictive analytics, and statistical methods to address various business challenges. Showcase expertise in programming languages like Python or R , with a focus on writing clear, efficient, and maintainable code. Experience with key libraries and frameworks (such as TensorFlow, PyTorch, and scikit-learn ) is critical. Utilize strong problem-solving abilities to create data-driven solutions, analyze complex datasets, and extract actionable insights that drive meaningful results. Collaborate closely with clients to comprehend their business goals, identify opportunities for advanced analytics-driven strategies , and communicate results effectively and in a timely manner. Manage the entire model development lifecycle, from defining the problem and exploring data to training, validating, and deploying models. Work alongside cross-functional teams, including data engineers, software developers, ML-Ops Engineer and business stakeholders, to integrate analytics solutions into business operations. Apply a deep understanding of mathematical and statistical concepts to guide the development and validation of advanced data science models. Desired Skills and Experience: 5-8 years of comprehensive experience in data science and model development. Experience in Machine learning Framework like TensorFlow, PyTorch, and scikit-learn etc Good to have hands on experience in Data & AI platforms like Databricks , MS Fabric etc Demonstrate a strong passion for writing high-quality Python code, ensuring it is modular, scalable, and suitable for end-to-end project execution, with active involvement in planning and hands-on work. Extensive knowledge of regression and classification techniques, along with the mathematical principles behind them, and proficiency in SQL . In-depth understanding of a wide range of data science methodologies, machine learning algorithms, and statistical techniques. Excellent communication skills, with the ability to present clearly, articulate ideas, tell compelling data stories, and navigate complex client situations. Provide effective mentorship to team members, leveraging expertise in relevant industry, domain, or functional areas Compensation Estimated Pay Range: Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location. Our Commitment to Diversity & Inclusion At Milestone we strive to create a workplace that reflects the communities we serve and work with, where we all feel empowered to bring our full, authentic selves to work. We know creating a diverse and inclusive culture that champions equity and belonging is not only the right thing to do for our employees but is also critical to our continued success. Milestone Technologies provides equal employment opportunity for all applicants and employees. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, gender, gender identity, marital status, age, disability, veteran status, sexual orientation, national origin, or any other category protected by applicable federal and state law, or local ordinance. Milestone also makes reasonable accommodations for disabled applicants and employees. We welcome the unique background, culture, experiences, knowledge, innovation, self-expression and perspectives you can bring to our global community. Our recruitment team is looking forward to meeting you.

Join our Team About this opportunity: Welcome to an exciting opportunity at Ericsson, where you'll be stepping into the role of a Data Scientist. As part of our team, you'll have the opportunity to develop unique machine learning solutions that address complex business issues. You'll employ scientific methods, processes, and systems to reveal valuable insights and pave the way for the future of applied analytics. Direct your prowess in machine learning towards formulating innovative AI/ML solutions that are consistent with Ericsson's architectural and coding standards. What you will do: Implement technical requirements by analyzing and optimizing their needs while managing any constraints effectively. Build predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning models, and other machine learning systems. Proficiency in machine learning concepts and programming languages such as Python, Pyspark, SQL, amongst others. Develop solutions using on-premise and cloud-based machine learning. Collaborate with business leaders and decision-making personnel to define success metrics and originate ML solutions that fit the bill. Mentor emerging data scientists and foster a community of machine learning enthusiasts within Ericsson. The skills you bring: DevSecOps. Business Understanding. Artificial Intelligence Systems. Software Engineering. Data Management. Ericsson Business Intelligence and Analytics Competence. Open-Source Programming Languages. Data Preprocessing. Statistics. Cloud Development. Machine Learning Algorithms. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Bangalore Req ID: 769882

At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com. This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please. Your future duties and responsibilities Job Title: Data Scientist Position: Associate Consultant Experience : 4 to 7 Years Main location: Bangalore/Chennai/Hyderabad Position ID: J0825-0344 Employment Type: Full Time We are seeking a talented and experienced Data Scientist / MLOps Engineer to join our team. In this role, you will be responsible for developing and operationalizing machine learning models, with a focus on NLP sentiment analysis, scoring, app recommendations, and sales forecasting. You will work closely with cross-functional teams to implement these solutions using Google Cloud services, Kubernetes, and containerization technologies. Key Responsibilities: Develop and implement machine learning models for NLP sentiment analysis and scoring Create and optimize app recommendation systems using advanced ML techniques Build and maintain sales forecasting models to drive business insights Design and implement MLOps pipelines for model training, deployment, and monitoring Containerize ML applications and deploy them on Kubernetes clusters Collaborate with data engineers to design and implement data ingestion and wrangling pipelines using Google Cloud services Utilize BigQuery for large-scale data analysis and feature engineering Continuously improve model performance and operational efficiency Required qualifications to be successful in this role Master's degree in Computer Science, Data Science, or a related field 3+ years of experience in machine learning and data science roles Strong proficiency in Python and data science libraries (e.g., NumPy, Pandas, Scikit-learn) Expertise in NLP techniques and frameworks (e.g., NLTK, spaCy, Transformers) Experience with recommendation systems and time series forecasting Solid understanding of MLOps principles and practices Proficiency in Google Cloud Platform services, especially: AI/ML offerings (e.g., Vertex AI, AutoML) Data ingestion services (e.g., Cloud Dataflow, Cloud Pub/Sub) Data processing services (e.g., Dataprep, Cloud Dataproc) BigQuery for large-scale data analysis Experience with containerization (Docker) and orchestration (Kubernetes) Familiarity with CI/CD pipelines and version control systems (e.g., Git) Preferred Qualifications: Experience with TensorFlow and/or PyTorch Knowledge of other cloud platforms (e.g., Azure, AWS) is a plus Familiarity with big data technologies (e.g., Spark, Hadoop) Experience with ML model serving frameworks (e.g., TensorFlow Serving, KFServing) Understanding of data privacy and security best practices Experience with data visualization tools (e.g., Data Studio, Looker) Key Skills: Machine Learning Natural Language Processing Recommendation Systems Time Series Forecasting Google Cloud Platform BigQuery Cloud Dataflow Cloud Pub/Sub Dataprep Cloud Dataproc Vertex AI Kubernetes Docker Python MLOps Data Analysis and Visualization Data Ingestion and Wrangling #LI-SA19 Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

Company Overview Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential. Our seasoned professionals deliver services based on Milestone’s best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT. With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity. Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed. Job Overview Role definition: Lead and assist in building advanced machine learning models, predictive analytics, and statistical methods to address various business challenges. Showcase expertise in programming languages like Python or R, with a focus on writing clear, efficient, and maintainable code. Experience with key libraries and frameworks (such as TensorFlow, PyTorch, and scikit-learn) is critical. Utilize strong problem-solving abilities to create data-driven solutions, analyze complex datasets, and extract actionable insights that drive meaningful results. Collaborate closely with clients to comprehend their business goals, identify opportunities for advanced analytics-driven strategies, and communicate results effectively and in a timely manner. Manage the entire model development lifecycle, from defining the problem and exploring data to training, validating, and deploying models. Work alongside cross-functional teams, including data engineers, software developers, ML-Ops Engineer and business stakeholders, to integrate analytics solutions into business operations. Apply a deep understanding of mathematical and statistical concepts to guide the development and validation of advanced data science models. Desired Skills And Experience 5-8 years of comprehensive experience in data science and model development. Experience in Machine learning Framework like TensorFlow, PyTorch, and scikit-learn etc Good to have hands on experience in Data & AI platforms like Databricks, MS Fabric etc Demonstrate a strong passion for writing high-quality Python code, ensuring it is modular, scalable, and suitable for end-to-end project execution, with active involvement in planning and hands-on work. Extensive knowledge of regression and classification techniques, along with the mathematical principles behind them, and proficiency in SQL. In-depth understanding of a wide range of data science methodologies, machine learning algorithms, and statistical techniques. Excellent communication skills, with the ability to present clearly, articulate ideas, tell compelling data stories, and navigate complex client situations. Provide effective mentorship to team members, leveraging expertise in relevant industry, domain, or functional areas Compensation Estimated Pay Range: Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location. Our Commitment to Diversity & Inclusion At Milestone we strive to create a workplace that reflects the communities we serve and work with, where we all feel empowered to bring our full, authentic selves to work. We know creating a diverse and inclusive culture that champions equity and belonging is not only the right thing to do for our employees but is also critical to our continued success. Milestone Technologies provides equal employment opportunity for all applicants and employees. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, gender, gender identity, marital status, age, disability, veteran status, sexual orientation, national origin, or any other category protected by applicable federal and state law, or local ordinance. Milestone also makes reasonable accommodations for disabled applicants and employees. We welcome the unique background, culture, experiences, knowledge, innovation, self-expression and perspectives you can bring to our global community. Our recruitment team is looking forward to meeting you.

About Us About DATAECONOMY: We are a fast-growing data & analytics company headquartered in Dublin with offices inDublin, OH, Providence, RI, and an advanced technology center in Hyderabad,India. We are clearly differentiated in the data & analytics space via our suite of solutions, accelerators, frameworks, and thought leadership. Job Description Job Description: We are looking for a highly skilled Senior Data Scientist with 2–7 years of experience specializing in Python, Large Language Models (LLMs), Agentic AI , NLP, Machine Learning, and Generative AI. The ideal candidate will have a deep understanding of building intelligent systems using modern AI frameworks and deploying them into scalable, production-grade environments. You will work closely with cross-functional teams to build innovative AI solutions that deliver real business value. Responsibilities Design, develop, and deploy ML/NLP solutions using Python and state-of-the-art AI frameworks. Apply LLMs and Generative AI & Agentic AI techniques to solve real-world problems. Build, train, fine-tune, and evaluate models for NLP and GenAI tasks. Collaborate with data engineers, MLOps, and product teams to operationalize models. Contribute to the development of scalable AI services and applications. Analyze large datasets to extract insights and support model development. Maintain clean, modular, and version-controlled code using Git. Requirements Requirements Must-Have Skills 2–7years of hands-on experience with Python for data science and ML applications. Strong expertise in Machine Learning algorithms and model development. Proficient in Natural Language Processing (NLP) and text analytics. Experience with Large Language Models (LLMs) and Generative AI frameworks (e.g., LangChain, Hugging Face Transformers). Familiarity with model deployment and real-world application integration. Experience with version control systems like Git. Good To Have Experience with PySpark for distributed data processing. Exposure to MLOps practices and model lifecycle management. Familiarity with cloud platforms such as AWS, GCP, or Azure. Knowledge of vector databases. Benefits Standard Company Benefits

Job Description: We are seeking a skilled and innovative Data Scientist with over 3 years of experience to join our team. In this role, you will work on deriving actionable insights from complex datasets, building predictive models, and collaborating with cross-functional teams to solve real-world problems. Your contributions will directly impact strategic decision-making and drive business success. Key Responsibilities: Analyze large datasets to identify trends, patterns, and actionable insights to support business objectives. Build, train, and deploy machine learning models to solve problems in areas like prediction, classification, and optimization. Collaborate with business stakeholders to define key performance indicators (KPIs) and translate business challenges into analytical projects. Conduct exploratory data analysis (EDA) to understand data structures and quality issues. Design and implement data pipelines for preprocessing, feature engineering, and automation. Develop interactive dashboards and visualizations to communicate findings effectively to technical and non-technical audiences. Perform A/B testing and statistical analysis to validate hypotheses and measure the impact of initiatives. Ensure the scalability, reliability, and security of data science solutions in production. Stay updated with the latest trends and best practices in data science, machine learning, and AI technologies. Document methodologies, processes, and results to ensure knowledge sharing and reproducibility. Requirements: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 4+ years of experience in a data science role. Proficiency in programming languages such as Python, R, or SQL. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong analytical and problem-solving skills with expertise in statistical analysis. Knowledge of data visualization tools (e.g., Tableau, Power BI, Matplotlib). Familiarity with cloud platforms like AWS, GCP, or Azure is a plus. Experience with big data tools and technologies (e.g., Hadoop, Spark) is an advantage. Excellent communication skills and the ability to explain technical concepts to non-technical stakeholders. Why Join Us Build with Purpose: Work on impactful, high-scale products that solve real problems using cutting-edge technologies. Tech-First Culture: Join a team where engineering is at the core — we prioritize clean code, scalability, automation, and continuous learning. Freedom to Innovate: You’ll have ownership from day one — with room to experiment, influence architecture, and bring your ideas to life. Collaborate with the Best: Work alongside passionate engineers, product thinkers, and designers who value clarity, speed, and technical excellence. Paladin Tech is an equal opportunity employer. We are committed to creating an inclusive and diverse workplace and welcome candidates of all backgrounds and identities. Job Types: Full-time, Permanent Work Location: In person

Role Overview: We are seeking a skilled Data Scientist to join our cutting-edge research team working on EEG and EMG signal analysis. This role offers the unique opportunity to implement state-of-the-art algorithms from research papers, develop deep learning models for neural signal processing, and contribute to groundbreaking neuroscience research. What makes this role exciting: You'll work with advanced signal processing techniques, implement algorithms from the latest research papers, and develop Machine Learning/Deep Learning models for neural recordings. Your work will directly contribute to published research and conference presentations Key Responsibilities Algorithm Implementation: Implement advanced signal processing algorithms from research papers, including spatial filtering techniques, time-frequency analysis methods, and other cutting-edge approaches Data Preprocessing & Cleaning: Handle complex EEG/EMG datasets, perform signal filtering, artefact removal, and data preparation for analysis Model Development: Build and train machine learning and deep learning networks for neural signal classification Model Training & Optimization: Conduct hyperparameter tuning, cross-validation, and model optimization for various machine learning approaches Performance Evaluation: Implement metrics, validation frameworks and statistical analysis to evaluate model performance Documentation: Maintain comprehensive documentation of methods, results, and experimental procedures MLOps Implementation: Adopt best practices of MLOps for model training, evaluation and inference capabilities. Feature Engineering: Extract and analyze statistical features from EMG signals including spectral analysis, entropy measures, and channel dominance Required Qualifications Experience: 2-3 years minimum in data science, machine learning, or signal processing roles Programming Skills: Proficiency in Python and optionally in MATLAB Deep Learning: Hands-on experience with TensorFlow, PyTorch, Keras frameworks or at least a strong experience with scikit-learn. Machine Learning: Strong foundation in supervised learning, particularly SVM and neural networks Time Series Analysis: Demonstrated experience working with time series data and signal processing techniques Implementation Skills: Excellent ability to translate research papers into working code implementations Technical Stack Python , MATLAB, TensorFlow, PyTorch, SVM ,CNN-LSTM Preferred Qualifications Time series analysis experience in any domain (finance, IoT, sensor data is also acceptable) Strong mathematical background in signal processing or machine learning theory Experience scaling ML models with large datasets Knowledge of statistical feature extraction and spectral analysis Personal Traits We Value Complete Ownership: Take full responsibility for your work, owning both successes and failures with accountability Collaborative Spirit: Genuine desire to help colleagues and contribute to the organization's success Data Enthusiasts: Someone who genuinely enjoys exploring data and finds satisfaction in uncovering insights Research Mindset: Curiosity to explore independent research directions and contribute to scientific knowledge Growth & Development This is a permanent position with exceptional growth opportunities Leadership Development: We mentor and encourage leadership qualities in every role we hire Industry Partnerships: Work with leading neuroscience labs and premier medical institutions to drive real-world impact Research Publications: Active involvement in publishing basic and applied neuroscience papers Conference Presentations: Opportunities to present research findings at scientific conferences Mentorship Opportunities: Future prospects to mentor interns and junior team members Independent Research: Encouraged and supported to pursue your own research interests You'll receive close mentorship on research methods while having the autonomy to implement and optimize solutions independently. Skills: research,learning,machine learning,deep learning,algorithms,processing,data,signal processing,signal,contribute,python,tensorflow,matlab,pytorch,keras,support vector machine (svm),cnn-lstm

Role Overview: We are seeking a skilled Data Scientist to join our cutting-edge research team working on EEG and EMG signal analysis. This role offers the unique opportunity to implement state-of-the-art algorithms from research papers, develop deep learning models for neural signal processing, and contribute to groundbreaking neuroscience research. What makes this role exciting: You'll work with advanced signal processing techniques, implement algorithms from the latest research papers, and develop Machine Learning/Deep Learning models for neural recordings. Your work will directly contribute to published research and conference presentations Key Responsibilities Algorithm Implementation: Implement advanced signal processing algorithms from research papers, including spatial filtering techniques, time-frequency analysis methods, and other cutting-edge approaches Data Preprocessing & Cleaning: Handle complex EEG/EMG datasets, perform signal filtering, artefact removal, and data preparation for analysis Model Development: Build and train machine learning and deep learning networks for neural signal classification Model Training & Optimization: Conduct hyperparameter tuning, cross-validation, and model optimization for various machine learning approaches Performance Evaluation: Implement metrics, validation frameworks and statistical analysis to evaluate model performance Documentation: Maintain comprehensive documentation of methods, results, and experimental procedures MLOps Implementation: Adopt best practices of MLOps for model training, evaluation and inference capabilities. Feature Engineering: Extract and analyze statistical features from EMG signals including spectral analysis, entropy measures, and channel dominance Required Qualifications Experience: 2-3 years minimum in data science, machine learning, or signal processing roles Programming Skills: Proficiency in Python and optionally in MATLAB Deep Learning: Hands-on experience with TensorFlow, PyTorch, Keras frameworks or at least a strong experience with scikit-learn. Machine Learning: Strong foundation in supervised learning, particularly SVM and neural networks Time Series Analysis: Demonstrated experience working with time series data and signal processing techniques Implementation Skills: Excellent ability to translate research papers into working code implementations Technical Stack Python , MATLAB, TensorFlow, PyTorch, SVM ,CNN-LSTM Preferred Qualifications Time series analysis experience in any domain (finance, IoT, sensor data is also acceptable) Strong mathematical background in signal processing or machine learning theory Experience scaling ML models with large datasets Knowledge of statistical feature extraction and spectral analysis Personal Traits We Value Complete Ownership: Take full responsibility for your work, owning both successes and failures with accountability Collaborative Spirit: Genuine desire to help colleagues and contribute to the organization's success Data Enthusiasts: Someone who genuinely enjoys exploring data and finds satisfaction in uncovering insights Research Mindset: Curiosity to explore independent research directions and contribute to scientific knowledge Growth & Development This is a permanent position with exceptional growth opportunities Leadership Development: We mentor and encourage leadership qualities in every role we hire Industry Partnerships: Work with leading neuroscience labs and premier medical institutions to drive real-world impact Research Publications: Active involvement in publishing basic and applied neuroscience papers Conference Presentations: Opportunities to present research findings at scientific conferences Mentorship Opportunities: Future prospects to mentor interns and junior team members Independent Research: Encouraged and supported to pursue your own research interests You'll receive close mentorship on research methods while having the autonomy to implement and optimize solutions independently. Skills: research,learning,machine learning,deep learning,algorithms,processing,data,signal processing,signal,contribute,python,tensorflow,matlab,pytorch,keras,support vector machine (svm),cnn-lstm

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

Role: Data Scientist – AWS Location: Gurgaon/Pune/Bengaluru (Remote) Duration: 03-06 Months (Possibility of extension) Job Description: We are seeking a highly skilled and experienced Data Scientist for AWS to join our team and play a crucial role in designing and implementing data analytics solutions on the Amazon Web Services (AWS) platform. The ideal candidate will have a deep understanding of data analytics technologies, AWS services, and a track record of architecting scalable and efficient data solutions to address complex business challenges. Responsibilities: Data Analysis and Interpretation: Collect, clean, and preprocess large datasets from various sources. Perform exploratory data analysis to identify patterns, trends, and insights. Model Development and Implementation: Develop and implement machine learning models and algorithms to solve business problems. Optimize and fine-tune models to ensure accuracy and efficiency. AWS Cloud Integration: Utilize AWS services such as S3, EC2, RDS, Redshift, Bedrock and SageMaker for data storage, processing, and model deployment. Implement data pipelines using AWS Glue, Lambda, and other relevant services. Collaboration and Communication: Work closely with cross-functional teams, including data engineers, software developers, and business analysts, to understand data needs and deliver solutions. Communicate findings and insights to stakeholders through reports, visualizations, and presentations. Continuous Improvement: Stay up to date with the latest trends and advancements in data science and AWS technologies. Continuously improve processes and methodologies to enhance the quality and efficiency of data science projects. Skills Proven experience (3+ years) as a Data Scientist, with a focus on AWS AI and Data Analytics technologies, and experience and knowledge on Microsoft Azure AI and Data Analytics technology is a plus. Extensive hands-on experience with AWS services such as Amazon Bedrock, Amazon SageMaker, Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue, etc Strong understanding of AWS services and architecture. Proficiency in data processing and analysis using tools like SQL, Pandas, NumPy, and Spark, and experience with data manipulation and transformation. Good understanding of data modeling, ETL processes, data warehousing, and data governance principles. Excellent problem-solving skills with the ability to design and implement creative solutions for complex data challenges. Knowledge of data governance and compliance standards. Strong communication skills to effectively collaborate with technical and non-technical teams. Experience in working with Agile methodologies and version control systems. Proven ability to work independently and manage multiple priorities effectively. Education and Certification Bachelors or associate degree in IT discipline Certification in AWS Certified: AI Practitioner or AWS Certified: Machine Learning Engineer is added advantage. What we need to see from you Report to practice lead. Work closely with sales team to develop opportunities and solution proposal Work within project team to develop and test data analytics platform and model Design, develop, and unit test in accordance with established standards. Assist project team in analyzing and resolving technical issues. Assist in preparing manuals, specification and other technical documentations. Package and support deployment releases. Assisting in the collection and documentation of user's requirements, development of user stories, and estimates.

Job Description Data Scientist Gurugram - Hybrid Purpose of the Role To monitor & implement the right statistical methodology in our data processes for universe, sample and extrapolation setup, data deep dives and analysis using advanced statistical tool. The role is responsible for supporting the Panel Quality Lead in ensuring that we follow GfKs globally approved methodology to ensure the statistical quality of the data is maintained and rightly represents the regional market. Key Activities POS Universe estimation by distribution channel in the country of interest. Presentation of the results of the universe study, comparison to previous years’ results and definition of the required changes to extrapolation model based on the study conducted. Calculation of the impact from the proposed changes on the currently conducted panel study Management and updates of the address database of all shops that constitute the retail universe by distribution channel Target sample calculation based on the reporting requirements, and defining recruitment targets for the team responsible for recruitment, in order to fulfill target sample quota Maintenance of the current sample status information by distribution channel in accordance with client reporting requirements Analysis of the results of applied data corrections/modifications in each period after data processing for the period has been completed. Preparation of a report based on the checks and analysis highlighting the necessary changes to extrapolation matrices and/or standard compensations used in data production Development and adaptation of data modelling approach for companies not cooperating with GfK Ensuring data quality issues are investigated and appropriate actions on extrapolation and representation of sample is taken Hands on experience in handling market data QC queries and issues for challenging markets and product groups in order to be able to resolve quality issues as part of client operations Able to work with big data sets, running new tools and statistical programs to run data deep dive and analysis Functional responsibilities: Own target setting and assessment in People@GfK Internal project management Analysis of current market situation and preparation of proposals for future panel development in countries/channels under responsibility Up to date knowledge and compliance with Standardized Global Processes (SGP); knowledge and understanding of internal data processing software (Startrack), including new developments and bug fixes (via Release Notes), and its efficient use in day-to-day tasks Skills Required Advanced knowledge in MS Office, MS Excel, MS Access Advanced knowledge in Statistics, Sampling methodology, Data Analysis, Project Management Excellent language skills in English Preferred knowledge of Statistical Software like Python, Knime & R Database Management & Project Management Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Job Description Job Description Our NielsenIQ teams empower our clients to make bold decisions and transform their businesses in trusted data, solutions, and insights designed to drive innovation and growth. The NielsenIQ North America Data Science team is passionate about solving complex client challenges and providing data-driven, actionable, timely, and innovative solutions. This Sr. Data Scientist position was created to support our US Data Science initiatives. This position requires someone who is passionate about learning, multi sourced data, data quality, statistical measurement, automation, efficiency, and consumer behavior. Responsibilities Lead detailed analysis Simultaneously balance multiple projects Represent Data Science in interactions with other functions Support end to end implementation of solutions Ability to evaluate current methodologies quickly Document and present findings and recommendations Detect, troubleshoot, and resolve system anomalies Provide explanation to teams in a format that meets their level of understanding Continually develop skill set Experience Bachelor’s or Master’s Degree with a quantitative discipline Skills 3-5 Years of professional experience in a quantitative field Curiosity to learn and continually upgrade skills Disposition to understand processes and methodologies Quantitative aptitude with proven data analysis and problem solving skills Proficiency with Python or R, and SQL Experience with working on large amounts of data Strong verbal, presentation, and written skills Strong planning and organizational skills Ability to work independently as well as in a team environment About NielsenIQ NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge. We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com. NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Location: Bangalore, India Experience: 4–7 years Salary Range: ₹35–50 LPA (based on experience) About the Opportunity We are hiring on behalf of a high-growth B2C tech company that is transforming commerce for millions of users across India. The Data Science team works on cutting-edge challenges like fraud detection, inventory optimization, personalization, and vernacularisation, solving unique problems in an untapped market. In this role, you’ll work closely with cross-functional teams, developing intelligent systems that impact millions of users and thousands of product categories. From improving product usability to identifying growth opportunities, you’ll be a key player in shaping the future of e-commerce at scale. Key Responsibilities Develop models and run experiments to derive insights from large datasets. Improve product usability and identify new growth opportunities. Understand user preferences to deliver the most relevant product recommendations. Design discount programs to increase reseller sales. Help resellers recognize end-customer preferences to boost revenue. Use data to identify bottlenecks and improve supplier SLA adherence. Model seasonal demand to predict critical business metrics. Mentor junior data scientists and foster best practices in model development. Required Qualifications Bachelor’s/Master’s degree in Computer Science or related field. 4–7 years of experience as a Data Scientist, preferably in a fast-paced B2C environment. Proficiency in Neural Networks, Machine Learning, and Statistical Modelling . Hands-on experience with SQL, R, Python . Strong understanding of statistics, linear algebra, and hypothesis/model testing . Experience designing and running A/B tests and interpreting results. Ability to implement and fine-tune machine learning algorithms . Excellent analytical and problem-solving skills with the ability to translate data into actionable insights. Prior experience working in technology and product-driven teams is a plus. Bonus Points For Experience in personalization or other advanced ML problems. Familiarity with Big Data technologies such as Apache Spark, Hadoop, Redshift.

UniAthena is an ed-tech, offering free-learning upskilling courses and Self-Paced Academic Programs in collaboration with European Universities and Awarding Bodies. Over 2.5 Million learners from across 150 countries are pursuing their upskilling journey on the 100% Online, self-paced and 100% automated learning platform. Job Requirement : 3-5 Years of experience in Data Science Strong expertise in statistical modeling, machine learning, deep learning, data warehousing, ETL, and reporting tools. Bachelors/Masters in Data Science, Statistics, Computer Science, Business Intelligence, Experience with relevant programming languages and tools such as Python, R, SQL, Spark, Tableau, Power BI. Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn Ability to think strategically and translate data insights into actionable business recommendations. Excellent problem-solving and analytical skills Adability and openesss towards changing environment and nature of work This is a startup environment with evolving systems and procedures, the ideal candidate will be comfortable working in a fast-paced, dynamic environment and will have a strong desire to make a significant impact on the business. Job Roles & Responsibilities: Conduct in-depth analysis of large-scale datasets to uncover insights and trends. Build and deploy predictive and prescriptive machine learning models for various applications. Design and execute A/B tests to evaluate the effectiveness of different strategies. Collaborate with product managers, engineers, and other stakeholders to drive data-driven decision-making. Stay up-to-date with the latest advancements in data science and machine learning.

Responsibilities: 1. Architect and develop scalable AI applications focused on indexing, retrieval systems, and distributed data processing. 2. Collaborate closely with framework engineering, data science, and full-stack teams to deliver an integrated developer experience for building next-generation context-aware applications (i.e., Retrieval-Augmented Generation (RAG)). 3. Design, build, and maintain scalable infrastructure for high-performance indexing, search engines, and vector databases (e.g., Pinecone, Weaviate, FAISS). 4. Implement and optimize large-scale ETL pipelines, ensuring efficient data ingestion, transformation, and indexing workflows. 5. Lead the development of end-to-end indexing pipelines, from data ingestion to API delivery, supporting millions of data points. 6. Deploy and manage containerized services (Docker, Kubernetes) on cloud platforms (AWS, Azure, GCP) via infrastructure-as-code (e.g., Terraform, Pulumi). 7. Collaborate on building and enhancing user-facing APIs that provide developers with advanced data retrieval capabilities. 8. Focus on creating high-performance systems that scale effortlessly, ensuring optimal performance in production environments with massive datasets. 9. Stay updated on the latest advancements in LLMs, indexing techniques, and cloud technologies to integrate them into cutting-edge applications. 10. Drive ML and AI best practices across the organization to ensure scalable, maintainable, and secure AI infrastructure. Qualifications: Educational Background: Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field. PhD preferred. Certifications in Cloud Computing (AWS, Azure, GCP) and ML technologies are a plus. Technical Skills: 1. Expertise in Python and related frameworks (Pydantic, FastAPI, Poetry, etc.) for building scalable AI/ML solutions. 2. Proven experience with indexing technologies: Building, managing, and optimizing vector databases (Pinecone, FAISS, Weaviate) and search engines (Elasticsearch, OpenSearch). 3. Machine Learning/AI Development: Hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow) and fine-tuning LLMs for retrieval-based tasks. 4. Cloud Services & Infrastructure: Deep expertise in architecting and deploying scalable, containerized AI/ML services on cloud platforms using Docker, Kubernetes, and infrastructure-as-code tools like Terraform or Pulumi. 5. Data Engineering: Strong understanding of ETL pipelines, distributed data processing (e.g., Apache Spark, Dask), and data orchestration frameworks (e.g., Apache Airflow, Prefect). 6. APIs Development: Skilled in designing and building RESTful APIs with a focus on user-facing services and seamless integration for developers. 7. Full Stack Engineering: Knowledge of front-end/back-end interactions and how AI models interact with user interfaces. 8. DevOps & MLOps: Experience with CI/CD pipelines, version control (Git), model monitoring, and logging in production environments. Experience with LLMOps tools (Langsmith, MLflow) is a plus. 9. Data Storage: Experience with SQL and NoSQL databases, distributed storage systems, and cloud-native data storage solutions (S3, Google Cloud Storage).

About Us: At Recro, we connect top tech talent with innovative companies. We are hiring for our client, a product-based company in the retail domain, seeking a Data Scientist who can apply scientific thinking to real-world business problems and drive impactful solutions. Key Responsibilities Investigate the feasibility of applying scientific principles and concepts to solve complex business challenges. Independently design and develop new algorithms for well-defined retail problems, and optimize existing algorithms for better performance. Collaborate with the product team to implement new modules, maintain production pipelines, and ensure timely releases. Build Proof of Concepts (POCs) using new ideas or technologies, and promote innovative solutions with internal and external stakeholders. Work closely with Data Engineering, Advisory, and Product teams to identify improvement areas and drive process efficiency. Mandatory Skills & Experience Retail Experience & Business Acumen – At least one retail project experience, even if it’s 30–50% of your overall work experience. Machine Learning – End-to-end development of at least one ML model independently. Programming & Tools – Strong hands-on experience with SQL and Python (PySpark is a plus). Preferred Qualifications Experience with large-scale data processing frameworks. Exposure to cloud platforms (AWS, Azure, or GCP). Strong analytical and problem-solving skills. Why Join? Opportunity to work on impactful projects in the retail analytics domain. Collaborative work culture with innovative and agile teams. Scope to experiment, innovate, and bring ideas to life.

Company Description Protium is a leading engineering-led, risk-focused lender operating in India. With a full stack approach, Protium offers lending services to MSMEs, consumers, and educational institutions through various channels including digital interfaces and dedicated sales teams. Protium uses proprietary models to assess revenues and growth, providing secured and unsecured lending solutions to small businesses and consumers in tier 1, 2, and 3 cities. Role Description This is a full-time on-site role for a Data Scientist - Credit Risk at Protium in Bengaluru. The Data Scientist will be responsible for tasks such as data analysis and visualization to assess credit risk, develop risk models, and provide insights for lending decisions. Qualifications 2-3 years of experience in credit risk based roles in financial or lending industry. Data Science and Data Analysis skills Statistics knowledge SQL / Python knowledge Strong analytical and problem-solving skills Excellent communication and presentation abilities Bachelor's/Master’s degree in Data Science, Statistics, or related field

About Assured is transforming the infrastructure of U.S. healthcare using intelligent automation. We’re building an AI-native system of action for provider operations to automate the most painful parts of healthcare - credentialing, licensing, and payer enrollment. These are slow, error-prone processes that cost the healthcare system billions and delay patient care. We’re backed by top Silicon Valley investors and trusted by the most innovative provider groups and health systems. This is a rare opportunity to join an elite team reimagining one of the most broken parts of healthcare - using cutting-edge ML in the real world, at scale. The Role: Data Scientist We’re looking for a full-stack Data Scientist to join us as our first dedicated data science hire. You'll partner with our AI/ML engineers and product/engineering teams to build, deploy, and scale machine learning solutions that automate key pieces of the healthcare provider lifecycle. This role is ideal for someone who thrives in early-stage environments, enjoys owning things end to end, and wants their work to have a measurable impact on an industry that desperately needs modern infrastructure. What You’ll Do ML Innovation & Research Lead the design, prototyping, and deployment of models across document processing, LLM-based automation, risk prediction, and compliance inference Apply foundation models, deep learning, and generative AI to healthcare operational data, working on real problems. Designing retrieval + LLM pipelines to interpret ambiguous state license rules and payer policy text. Scaling intelligent document intake across 100+ formats using foundation models and structured rules Collaborate closely with engineering and product to take models from concept to production Healthcare Data Integration & Insight Develop and manage data pipelines using structured and semi-structured data (e.g., provider rosters, credentialing forms, payer rules, licensing board data) Analyze large-scale customer data to derive insights that guide product decisions and customer strategy Use operational and compliance data to surface anomalies, inefficiencies, and automation opportunities Stakeholder-Facing & Thought Leadership Interface directly with customers and internal stakeholders to understand use cases and shape the right ML approach Share learnings via internal memos, external blogs, or whitepapers to grow Assured’s ML thought leadership Champion practices around reproducibility, model governance, and continuous learning Team-Building & Mentorship Mentor engineers and future data science hires; help shape the team’s technical direction Establish baseline tooling and processes for experimentation, deployment, and monitoring of ML solutions Work closely with leadership to align ML strategy with business objectives What We’re Looking For Must-Haves 3-5+ years of experience building and shipping ML or deep learning models in production Strong Python skills and fluency with ML libraries (e.g., PyTorch, TensorFlow, Hugging Face) Deep understanding of machine learning algorithms, NLP, and modern data processing workflows Ability to design experiments, evaluate models rigorously, and iterate fast Comfortable working autonomously in ambiguous, fast-changing environments Excellent written and verbal communication for technical and non-technical audiences Preferred Graduate degree (MS/PhD) in a quantitative field (e.g., CS, Statistics, Physics, Applied Math) Experience working with healthcare, insurance, or compliance data Familiarity with AWS/GCP and production ML workflows (CI/CD, model monitoring, etc) Experience with LLMs, GenAI, and tools like LangChain, vector databases, or Retrieval-Augmented Generation Publications, blog posts, or open-source contributions in ML or AI You’ll Love This Role If You Want to lead ML projects from idea to deployment Thrive in a 0-to-1 environment and like building from scratch Care about real-world impact, especially in healthcare Enjoy building systems—not just training models Believe great ML products come from close collaboration with product, engineering, and users Why Join Assured High-impact work - Tackle bottlenecks that slow down provider access to patients Real-world AI - Work on meaningful applications of LLMs and applied ML in compliance, forms, automation, and document intelligence Cross-functional exposure - Collaborate with customers, clinical ops, engineers, and founders Early-stage upside - Equity, early influence, and a high-growth trajectory People-first culture - Remote flexibility, mental health time, and a focus on outcomes, not hours

Position: Data scientist Location: Bangalore, India Role Overview: We are seeking a Data Scientist to work closely with our semiconductor customers, analyzing fab data to drive insights, process improvements, and contamination control strategies. This role requires a strong understanding of semiconductor processes, advanced analytical methods, and the ability to work with complex data from various fab systems. Key Responsibilities Analyze data related to FOUP chemistries, lithography scanner performance, and airborne molecular contamination (AMC) in cleanrooms. Perform data mining to uncover patterns, correlations, and anomalies in large, complex semiconductor process datasets. Collaborate directly with semiconductor fab engineers to interpret results and recommend corrective or preventive actions. Develop, refine, and apply statistical and analytical methods to process data. Create data visualizations, reports, and presentations for internal and customer use. Partner with cross-functional teams to align data analysis with customer needs and Picarro's product capabilities. Travel to customer sites all over the world to help drive solution development and implementation. Qualifications Degree in Engineering, Physics, Materials Science, or a related field; advanced degree preferred (IISc or similar institution a plus). Strong understanding of semiconductor manufacturing processes and contamination control. 3+ years of hands-on experience in data analytics tools, statistical modeling, and visualization. Handson experience in Python is a must. Excellent communication and problem-solving skills. Why Join Picarro? Work on cutting-edge contamination monitoring solutions in the semiconductor industry. Collaborate with leading fabs and industry experts worldwide. Be part of a mission-driven company that is shaping the future of clean manufacturing. About Picarro: We are the world's leader in timely, trusted, and actionable data using enhanced optical spectroscopy. Our solutions are used in a wide variety of applications, including natural gas leak detection, ethylene oxide emissions monitoring, semiconductor fabrication, pharmaceutical, petrochemical, atmospheric science, air quality, greenhouse gas measurements, food safety, hydrology, ecology, and more. Our software and hardware are designed and manufactured in Santa Clara, California and are used in over 90 countries worldwide based on over 65 patents related to cavity ring-down spectroscopy (CRDS) technology and are unparalleled in their precision, ease of use, and reliability. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, nor on the basis of disability. Posted positions are not open to third party recruiters/agencies and unsolicited resume submissions will be considered free referrals. If you are an individual with a disability and require reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Picarro, Inc. at disabilityassistance@picarro.com for assistance.