senior data scientist

Lloyds Technology Centre

<div></div><div><div>End Date</div>
Tuesday 30 December 2025<div></div><div><div>
We Support Flexible Working &ndash; Click here for more information on flexible working options</div></div><div></div><div>
Flexible Working Options</div>
Hybrid Working<div></div><div>
Job Description Summary</div>
Job Title: Senior Data Scientist 
Job Family: Data &amp; AI Scientists 
Grade: E Grade 
Experience Required: 8&ndash;13 years 
Employment Type: Full-time<div></div><div>
Job Description</div><div>
About the Role:</div><div>
We are looking for a highly skilled and experienced Senior Data Scientist to join our Data &amp; AI team. The ideal candidate will bring deep expertise in data science, statistical modeling, and cloud-based AI platforms, with a strong background in Pega CDH and adaptive modeling.</div><div>
Key Responsibilities:</div><ul><li>
Develop and optimize adaptive models using Pega CDH.</li><li>
Apply statistical modeling techniques using Python and SQL to solve complex business problems.</li><li>
Design and implement scalable data pipelines and ML workflows using BigQuery, Vertex AI, and Composer.</li><li>
Collaborate with cross-functional teams to deliver data-driven solutions.</li></ul><div>
Required Skills:</div><ul><li>
Skill 1: Pega CDH, Adaptive Modeling</li><li>
Skill 2: Python, SQL, Statistical Modeling Techniques</li><li>
Skill 3: BigQuery, Vertex AI, Composer</li></ul><div>
Preferred Qualifications:</div><ul><li>
Proven experience in data science roles within enterprise environments.</li><li>
Strong understanding of cloud platforms and AI services.</li><li>
Excellent problem-solving and communication skills.</li></ul></div><div></div>

Senior Data Scientist

Realign

<div>Job Type: Contract
Job Category: IT
Job Description
Role - Senior Data Scientist 
Location: Detroit, MI 
Contract 
 
Description : Seeking a highly skilled and experienced Senior Data Scientist to lead a strategic AI Discovery engagement focused on evaluating the technical feasibility, data readiness, and implementation approach for automating automotive parts image analysis using computer vision technologies. This role is pivotal in shaping the future of intelligent image-based classification and description systems for automotive parts across categories such as Collision, OEPR, and Mechanical. 
 
Required Skills/qualification: 
 
Master&rsquo;s or Ph.D. in Computer Science, Data Science, AI/ML, or related field. 
8+ years of experience in data science, with a strong focus on computer vision and deep learning. 
Proven experience in AI usecase discovery/due diligence, feasibility studies, technical assessments, and solution architecture. 
Strong understanding of image processing, CV models, CNNs, transformers, and multi-modal learning. 
Experience working with large-scale image datasets and annotation tools. 
Excellent communication and stakeholder management skills. 
Experience or familiarity with automotive domain data and parts classification. 
Hands-on experience with AWS (S3, SageMaker, Lambda, etc.) and Databricks. 
Knowledge of MLOps practices and scalable deployment strategies(databricks ML Flow).
Required Skills
SENIOR EMAIL SECURITY ENGINEER</div>

Senior Data Scientist-5

Marina's clinic

Job Title: Senior Data ScientistLocation: Chennai &ndash; Zero Gravity Photography (ZGP) Salary: &#8377;30,000 &ndash; &#8377;40,000 per monthAbout Zero Gravity Photography (ZGP)Zero Gravity Photography is a leading name in creative wedding and event photography. With innovation, precision, and creativity at our core, we aim to provide a seamless experience backed by data-driven decision-making. We are seeking a Senior Data Scientist to analyze, model, and generate actionable insights to enhance operational efficiency and support business growth.Roles &amp; Responsibilities (R&amp;R)Data Analysis &amp; Strategy<ul><li>Collect, clean, and analyze large datasets related to sales, marketing, operations, and customer behavior.</li><li>Translate business requirements into actionable data models and solutions.</li><li>Identify trends and patterns to improve revenue, operational efficiency, and customer experience.</li></ul>Model Development &amp; Insights<ul><li>Develop predictive models (e.g., lead conversion, retention, demand forecasting).</li><li>Provide actionable, data-backed recommendations to management.</li><li>Apply statistical and machine learning techniques to optimize campaigns and workflows.</li></ul>Collaboration &amp; Reporting<ul><li>Work closely with Sales, Marketing, and Operations teams to enable data-driven decisions.</li><li>Create dashboards and automated reports for leadership.</li><li>Present findings clearly to technical and non-technical stakeholders.</li></ul>Innovation &amp; Best Practices<ul><li>Implement best practices for data collection, storage, and security.</li><li>Continuously explore new tools and technologies for optimized analytics.</li><li>Mentor junior analysts and guide them on technical and analytical practices.</li></ul>Key Requirements<ul><li>Education: Bachelor&rsquo;s/Master&rsquo;s in Data Science, Statistics, Computer Science, or related field.</li><li>Experience: 3+ years as a Data Scientist or Senior Analyst.</li><li>Technical Skills: Proficiency in Python/R, SQL, Power BI/Tableau, and ML frameworks (Scikit-learn, TensorFlow, etc.).</li><li>Strong analytical, problem-solving, and presentation skills.</li><li>Ability to manage multiple projects independently.</li><li>Preference: Female candidates preferred.</li></ul>Why Join ZGP?<ul><li>Directly impact a fast-growing creative industry.</li><li>Work in a dynamic, collaborative, and innovation-driven environment.</li><li>Exposure to diverse datasets, including sales, marketing, and customer behavior analytics.</li><li>Lead data initiatives for one of India&rsquo;s most recognized photography brands.</li></ul>Job Type: Full-time, Permanent Work Location: In-person Benefits: Paid sick time, Paid time offJob Type: Full-timePay: &#8377;30,000.00 - &#8377;40,000.00 per monthBenefits:<ul><li>Leave encashment</li><li>Paid sick time</li><li>Paid time off</li></ul>Work Location: In person

MindTrilogy IT Solutions Pvt. Ltd

<ul><li>Senior Data Scientist</li><li>Experience:5-7 years</li><li>Budget: 100LPM</li><li>Shift timing: 11am to 8 pm</li><li>Remote</li><li>Contract:6 months</li></ul>Job SummaryWe&rsquo;re seeking a Senior Data Scientist contractor with 5+ years of experience and deep expertise in anomaly detection. You&rsquo;ll be responsible for building robust models to detect outliers in complex, real-world datasets. This is a hands-on role requiring strong technical and problem-solving skills.Key Requirements5+ years of experience in data science / machine learningProven expertise in anomaly detection techniques (e.g. Isolation Forest, Autoencoders, LSTM)Strong proficiency in Python (pandas, scikit-learn, TensorFlow/PyTorch)Experience working with time-series, logs, or transactional dataComfortable working independently and delivering production-ready solutionsNice to HaveExperience with cloud platforms (AWS, GCP, Azure), streaming data, or real-time anomaly detectionDomain knowledge in finance, IoT, cybersecurity, or similar fieldsJob Type: Contractual / Temporary Contract length: 6 monthsPay: &#8377;1,200,000.00 - &#8377;1,300,000.00 per yearWork Location: Remote

Mastercard

<div>Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Senior Data Scientist
Overview: 
At Mastercard, we&rsquo;re building the future of intelligent infrastructure&mdash;where data science meets automation, and AI drives operational excellence. We are looking for a Senior Data Scientist to join our Engineering team and lead the transformation of massive operations datasets into predictive insights and autonomous systems. 
This role is ideal for someone passionate about building scalable machine learning solutions, developing Large Language Models (LLMs), and pioneering agentic AI systems that optimize engineering workflows and decision-making.
 
 
Role:
 
As a Senior Data Scientist, you will: 
<ul><li>Analyze large-scale operations data to build predictive models for system performance, anomaly detection, and proactive interventions.</li><li>Design, fine-tune, and deploy domain-specific LLMs to support internal tooling, documentation synthesis, and intelligent automation.</li><li>Develop agentic AI systems that autonomously interact with infrastructure, make decisions, and execute tasks with minimal human input.</li><li>Collaborate with engineering and product teams to ensure robust data pipelines and scalable model deployment.</li><li>Work closely with the AI COE team, domain experts and full stack developers to build and deploy interactive dashboards, providing the best, most engaging insights and UX for our users.</li><li>Engage with the wider Mastercard data science community, sharing best practice, knowledge, and insights, in support of collaborative, fulfilling work and value creation.</li></ul> 
All About You: 
<ul><li>An undergraduate degree or higher in Computer Science, Data Science, Econometrics, Mathematics, Statistics, or similar field of study.</li><li>Multi-project, hands-on experience of the end-to-end data science process in relation to large, complex data. From problem framing to results communication and solution deployment, you will be able to demonstrate having played a key part in a range of successfully delivered projects.</li><li>Strong background in predictive analytics and modelling using large operational datasets.</li><li>Expert level Python coding experience, including knowledge and experience of the principal Python Data Science / Machine Learning (ML) library ecosystem.</li><li>Hands-on experience with LLM architectures, and Agentic AI development.</li><li>Familiarity with agentic AI frameworks (e.g., LangGraph, OpenAI/LLaMA) and autonomous decision systems.</li><li>Proficiency in cloud platforms and big data ecosystems (Databricks).</li><li>Excellent communication skills and ability to work cross-functionally.</li></ul>
Corporate Security Responsibility 
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:<ul><li>
Abide by Mastercard&rsquo;s security policies and practices;</li><li>
Ensure the confidentiality and integrity of the information being accessed;</li><li>
Report any suspected information security violation or breach, and</li><li>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</li></ul></div>

Enable Data

Enable Data Incorporated is looking for a talented and experienced Senior Data Scientist to join our innovative team. In this role, you will be responsible for driving data science initiatives, developing predictive models, and providing insights that guide key business decisions. The ideal candidate has a strong background in statistical analysis, machine learning, and big data technologies, and is enthusiastic about applying data-driven solutions to complex business problems.
 As the Senior Data Scientist, you will collaborate closely with cross-functional teams, including engineering, product management, and business stakeholders. You will leverage your expertise to design and implement advanced analytics solutions that optimize our clients’ operations and enhance their product offerings.
 This is an exciting opportunity for a pro-active leader with a passion for data science and a proven track record of delivering impactful results.
 
Requirements: 
Required qualifications: 
<ul>
<li>6+ years of experience in data science or a related field, with a strong emphasis on machine learning and predictive modeling.</li>
<li>Proficiency in programming languages such as Python</li>
<li>Deep understanding of statistical analysis, machine learning algorithms, and data mining techniques</li>
<li>Classical Machine Learning, Statistical analysis and and Data Science</li>
<li>Hospitality experience (preferred)</li>
<li>Python libraries like Pandas, Numpy, scikit-learn, TensorFlow, Keras</li>
<li>Practical experience with Databricks</li>
<li>SQL proficiency</li>
<li>Generative AI solutions (and fine tuning) utilizing LLMs such as GPT, Claude, and LLaMA</li>
<li>Libraries such as LangChain, Transformers, OpenAI SDK, or Hugging Face</li>
</ul>

Golden Eagle IT Pvt. Ltd.

Job Description- Designation: Data Science Developer / Senior Data Scientist Location: Indore or Pune | OnsiteSkills Required<ul><li>Data Science, Machine Learning, Deep Learning, NLP</li><li>Python, Flask, Numpy, Pandas, Scikit-learn</li><li>SQL / Stream Processing, AWS Services (S3, Lambda, SageMaker, etc.)</li><li>Generative AI (GenAI): LLMs (GPT, Claude, LLaMA, Mistral, etc.)</li><li>Frameworks &amp; Tools: LangChain, LangGraph, Vector Databases (Pinecone, Weaviate, pgvector), RAG pipelines</li><li>Agentic AI Development: AI Agents, Orchestration, Multi-Agent Systems</li><li>MCP (Model Context Protocol): Integration of external tools, APIs, and custom apps with LLMs</li><li>Deployment &amp; APIs: FastAPI / Flask for serving ML/GenAI models</li><li>Git, CI/CD, Docker, Kubernete</li></ul>Sr. Data Scientist Responsibilities<ul><li>Formulating, suggesting, and managing data-driven and GenAI-powered projects to further business interests.</li><li>Collating, cleaning, and preparing structured/unstructured data for ML, DL, and LLM fine-tuning.</li><li>Designing and deploying RAG (Retrieval-Augmented Generation) architectures and LLM-based applications.</li><li>Building and managing AI Agents using LangChain/LangGraph for workflow automation.</li><li>Experimenting with open-source and commercial LLMs (GPT, Claude, LLaMA, Mistral, etc.) for enterprise use cases.</li><li>Delegating tasks to Junior Data Scientists and guiding them on best practices in ML, DL, and GenAI.</li><li>Monitoring and mentoring teams; ensuring model performance, generalizability, and scalability.</li><li>Selecting and employing advanced ML/DL/GenAI procedures to extract actionable insights.</li><li>Producing non-technical reports and GenAI-driven dashboards for business decision-making.</li><li>Suggesting ways to integrate insights and AI agents into core business strategies.</li><li>Staying informed on cutting-edge advancements in AI/GenAI, Agentic AI, and MCP ecosystem to ensure relevance.</li></ul>Sr. Data Scientist Requirements<ul><li>Advanced degree in Data Science, Statistics, Computer Science, or similar.</li><li>Extensive experience in ML/DL/NLP and hands-on GenAI/LLM projects.</li><li>Proficiency in Python, Numpy, Pandas, Scikit-learn, and SQL.</li><li>Strong experience with LLMs, prompt engineering, fine-tuning, and RAG pipelines.</li><li>Familiarity with LangChain, LangGraph, and AI Agent development.</li><li>Experience with MCP for connecting models with external tools and services.</li><li>Demonstrable history of end-to-end AI/GenAI project ownership.</li><li>Outstanding supervision, mentorship, and cross-functional leadership abilities.</li><li>Ability to foster a collaborative AI-driven culture within the team.</li><li>Strong awareness of AI ethics, compliance, and data governance.</li></ul>Job Type: Full-timePay: &#8377;968,992.94 - &#8377;2,359,250.74 per yearBenefits:<ul><li>Flexible schedule</li><li>Paid time off</li><li>Provident Fund</li><li>Work from home</li></ul>Work Location: In person

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