associate data scientist

Birlasoft

<div></div><div><div><div><div><div><div><div><div>Country/Region: IN
</div></div></div></div><div><div><div><div>Requisition ID: 30861
</div></div></div></div><div><div><div><div>Work Model:
</div></div></div></div><div><div><div><div>Position Type:
</div></div></div></div><div><div><div><div>Salary Range:
</div></div></div></div><div><div><div><div>Location: INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI
</div></div></div></div></div><div><div><div><div><div><h1 class="jobSectionHeader"><b>Title: </b><b>Associate Data Scientist
</b></h1></div></div></div></div><div><div><div><div>Description:
<div><div><div><h2 class="jobSectionHeader"><b>Area(s) of responsibility</b></h2>
</div><div><p><b>
Job Title: AI/ML Developer</b></p>
<p><b>
Responsibilities</b></p>
<ul>
<li>Design and develop robust AI/ML solutions tailored to industry verticals such as Banking, Financial Services, Insurance (BFSI), Energy &amp; Utilities (EnU), Life Sciences, and Manufacturing.</li>
<li>Collaborate with cross-functional teams to gather business requirements and translate them into scalable machine learning architectures.</li>
<li>Lead the end-to-end lifecycle of ML projects&mdash;from data exploration and model development to deployment and monitoring&mdash;ensuring alignment with organizational standards and best practices.</li>
<li>Evaluate and select appropriate ML algorithms, frameworks, and tools to optimize model performance, scalability, and interpretability.</li>
<li>Conduct research on emerging ML techniques and technologies, providing insights for continuous innovation and improvement.</li>
<li>Define and implement data governance, model versioning, and deployment strategies to ensure compliance, reproducibility, and ethical use of AI.</li>
<li>Mentor junior developers and data scientists, fostering a collaborative and innovative team culture.</li>
<li>Communicate technical solutions and project progress to stakeholders and leadership, translating complex ML concepts into business-friendly language.</li></ul></div></div></div></div></div></div></div></div></div></div></div><p></p>

Associate Data Scientist

Software Finder Careers

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are seeking an Associate Data Scientist to drive high-quality data sourcing, cleaning, and automation to support outbound prospecting and lead generation. In this role, you will extract, prepare, and enrich prospect lists, research new lead sources, and build Python-based scraping tools to ensure data accuracy for our CRM systems.
 <br/>
 <br/>
 You will work closely with marketing and business development teams to align data initiatives with campaign objectives, while continuously improving and scaling data workflows for speed, accuracy, and efficiency.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Extract, clean, and prepare prospect data based on campaign briefs.
  </li>
  <li>
   Research and identify new lead sources to enhance prospecting efforts.
  </li>
  <li>
   Build and maintain Python-based scraping and automation tools.
  </li>
  <li>
   Ensure data accuracy, enrichment, and proper integration into CRM systems.
  </li>
  <li>
   Collaborate with marketing and business development teams to align data outputs with campaign goals.
  </li>
  <li>
   Continuously optimize and scale data workflows for efficiency and reliability.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in Python, Excel/Google Sheets, and web scraping tools.
  </li>
  <li>
   Strong analytical skills and attention to detail.
  </li>
  <li>
   Experience with data cleaning, enrichment, and workflow automation.
  </li>
  <li>
   Ability to work collaboratively in a fast-paced, campaign-driven environment.
  </li>
  <li>
   Prior experience in data-driven marketing, sales operations, or lead generation is a plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Software Finder
 </strong>
 is a leading B2B SaaS marketplace that helps businesses discover, compare, and select the right software solutions. Our platform connects companies with tailored software options based on their unique needs, supported by verified reviews and expert insights.
 <br/>
 <br/>
 With a growing portfolio of software categories and a global user base, Software Finder is committed to simplifying the software selection process and empowering businesses to make informed decisions.
 <br/>
 <br/>
 Our team is driven by a shared mission to innovate, collaborate, and deliver value to our users. As we continue to grow, we are always looking for talented individuals who are passionate about technology, customer success, and making an impact.
</div>


Naethra Technologies

<p>A MSc or PhD degree in applied mathematics or statistics. 5+ years of industry experience. Advanced coursework in machine learning and programming. Experience using data visualization tools. Experience with data querying languages, and statistical or mathematical software. Proficient in writing algorithms, and knowing when to apply them. Excellent understanding of statistics, multivariable calculus, and linear algebra. Outstanding communication skills.</p><p>Job Types: Full-time, Permanent, Fresher</p><p>Pay: &#8377;10,570.93 - &#8377;30,844.49 per month</p><p>Benefits:</p><ul><li>Flexible schedule</li><li>Food provided</li><li>Health insurance</li><li>Paid sick time</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

Amgen

<div><p>ABOUT AMGEN</p><p>
At Amgen, if you feel like you&rsquo;re part of something bigger, it&rsquo;s because you are. Our shared mission&mdash;to serve patients living with serious illnesses&mdash;drives all that we do.</p><p>
Since 1980, we&rsquo;ve helped pioneer the world of biotech in our fight against the world&rsquo;s toughest diseases. With our focus on four therapeutic areas &ndash;Oncology, Inflammation, General Medicine, and Rare Disease&ndash; we reach millions of patients each year. As a member of the Amgen team, you&rsquo;ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.</p><p>
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you&rsquo;ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.</p><p>
ABOUT THE ROLE</p><p>
Role Description:</p><p>
As Sr. Associate&ndash; V&amp;A Transformation Initiatives, you will be at the forefront of solving the US Value &amp; Access team&rsquo;s biggest challenges using cutting edge technology. The AIN Transformation team will be viewed as an &ldquo;innovation engine&rdquo;, constantly testing and refining analytics solutions to address customer needs and opportunities alongside business partners.</p><p>
As an Associate Data Scientist, you will be responsible for developing and deploying advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. This role involves creating analytics solutions to address customer needs and opportunities.</p><p>
Roles &amp; Responsibilities:</p><ul><li>
Work with the broader USV&amp;A Transformation team to develop and test AI and advanced statistical solutions to address priority business challenges</li><li>
Ensure models are trained with the latest data and meet the SLA expectations</li><li>
Act as a subject matter expert in solving development and commercial questions</li><li>
Work with a global cross functional team on the AI tool&rsquo;s roadmap</li><li>
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.</li><li>
Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.</li><li>
Perform exploratory and targeted data analyses using descriptive statistics and other methods.</li><li>
Model/analytics experiment and development pipeline leveraging MLOps.</li><li>
Collaborate with technical teams to translate the business needs into technical specifications, particularly focusing on AI-driven automation and insights.</li><li>
Develop and integrate custom applications, intelligent dashboards, and automated workflows that incorporate AI capabilities to enhance decision-making and efficiency.</li></ul><p>
Functional Skills:</p><p><b>
Must-Have Skills:</b></p><ul><li>
Experience with one or more analytic software tools or languages like R and Python</li><li>
Foundational understanding of US pharmaceutical ecosystem, relevant data sets (e.g., claims, prescription) and Patient support services offerings (e.g., copay)</li><li>
Strong foundation in machine learning algorithms and techniques</li><li>
Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification</li></ul><p><b>
Good-to-Have Skills:</b></p><ul><li>
Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)</li><li>
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)</li><li>
Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills</li><li>
Experience with data engineering and pipeline development</li><li>
Knowledge of NLP techniques for text analysis and sentiment analysis</li><li>
Experience in analyzing time-series data for forecasting and trend analysis</li><li>
Experience with AWS, Azure, or Google Cloud</li><li>
Experience with Databricks platform for data analytics and MLOps</li></ul><p></p><p>
Professional Certifications (please mention if the certification is preferred or mandatory for the role):</p><ul><li>
Any AWS Developer certification (preferred)</li><li>
Any Python and ML certification (preferred)</li></ul><p></p><p>
Soft Skills:</p><ul><li>
Initiative to explore alternate technology and approaches to solving problems.</li><li>
Skilled in breaking down problems, documenting problem statements, and estimating efforts.</li><li>
Excellent analytical and troubleshooting skills.</li><li>
Strong verbal and written communication skills</li><li>
Ability to work effectively with global, virtual teams</li><li>
High degree of initiative and self-motivation.</li><li>
Ability to manage multiple priorities successfully.</li><li>
Team-oriented, with a focus on achieving team goals</li></ul><p></p><p>
Basic Qualifications:</p><ul><li>
Master&rsquo;s degree in computer science, statistics or STEM majors with a minimum of 2 years of Information Systems experience OR</li><li>
Bachelor&rsquo;s degree in computer science, statistics or STEM majors with a minimum of 4 years of Information Systems experience.</li></ul><p></p><p>
EQUAL OPPORTUNITY STATEMENT</p><p>
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.</p><p>
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.</p></div>

V&A Transformation--Sr Associate Data Scientist

Commonwealth Bank of Australia

<div><p><b>Organization:
</b></p><p>At CommBank, we never lose sight of the role we play in other people&rsquo;s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.
</p><p></p><p><b>Job Title : </b>Senior Associate Data Scientist
</p><p></p><p><b>Location: </b>Bangalore
</p><p></p><p><b>Business &amp; Team:
</b></p><p>At CBA, our Model Risk &amp; Validation team plays a critical role in safeguarding the integrity of data-driven decisions across the Group. We provide second-line assurance through rigorous oversight and challenge, ensuring every model meets internal and regulatory standards. Join us and be part of a team that&rsquo;s shaping the future of risk, technology, and AI across the bank.
</p><p></p><p><b>Impact &amp; contribution:
</b></p><p>As a key member of our Model Risk &amp; Validation team, you&rsquo;ll drive robust validation processes, deploy cutting-edge analytics tools, and embed robust risk management practices across our model ecosystem. You&rsquo;ll work with a high-performing quantitative team, collaborating to uphold the integrity of our model risk framework while influencing the Group&rsquo;s broader AI and transformation strategies.
</p><p></p><p><b>Roles &amp; Responsibilities:
</b></p><ul><li><p>Model Validation &ndash; Apply your problem solving and critical thinking skills to assess model performance, compliance, and risks.
</p></li><li><p>AI Evaluation Pipelines &ndash; Code in python or equivalent programming languages to establish evaluation pipelines for AI/Gen-AI models in a CI/CD environment.
</p></li><li><p>Stakeholder Engagement &ndash; Establish strong professional relationships with model developers, business units, to ensure transparency and alignment.
</p></li><li><p>Continuous Improvement &ndash; Develop and integrate AI-driven tools to enhance model development/validation quality and speed.
</p></li></ul><p></p><p><b>Essential Skills:
</b></p><ul><li><p>3 to 6 years of experience in the financial services and/or technology sector, or relevant experience in research.
</p></li><li><p>Strong programming skills and experience with tools like Python, R, SQL, Spark, TensorFlow, and Py Torch; familiarity with version control (GitHub).
</p></li><li><p>Ability to solve technical problems and execute validation tasks independently.
</p></li><li><p>Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences.
</p></li><li><p>Any experience with Gen-AI techniques like RAG, prompt engineering, and/or orchestration tools (e.g., Lang Chain, Lang Graph) would be highly preferred.
</p></li><li><p>Experience with platforms like AWS SageMaker, AWS Bedrock, or H2O.ai is a plus.
</p></li></ul><p></p><p><b>Education Qualification : </b>Bachelor&rsquo;s degree or Master&rsquo;s degree in Engineering in Computer Science/Information Technology.
</p><p></p><div><div><div><div><div><div><div><p>If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We&rsquo;re keen to support you with the next step in your career.
</p><p></p><p>We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.
</p></div></div></div></div></div></div></div><p></p>Advertising End Date: 21/11/2025</div>

Data Scientist Senior Associate

Cognizant Technology Solutions

<div></div><div><p><b>Job Summary</b></p><p>
The Associate-Data Science role is pivotal in driving data-driven decision-making within our Hi-Tech domain. With 5 to 8 years of experience the candidate will leverage their expertise in Machine Learning Python3 and mySQL to analyze complex datasets and provide actionable insights. This role requires working from the office with rotational shifts ensuring seamless integration with our dynamic team.</p><p><b><br>
Responsibilities</b></p><ul><li>
Analyze large datasets to extract meaningful insights that drive business decisions and enhance operational efficiency.</li><li>
Develop and implement machine learning models to solve complex business problems and improve predictive accuracy.</li><li>
Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.</li><li>
Utilize Python3 to automate data processing tasks ensuring efficiency and accuracy in data handling.</li><li>
Design and maintain mySQL databases to support data storage and retrieval needs ensuring data integrity and security.</li><li>
Conduct data validation and cleansing to ensure high-quality data is used in analysis and reporting.</li><li>
Communicate findings and recommendations to stakeholders in a clear and concise manner facilitating informed decision-making.</li><li>
Stay updated with the latest advancements in data science and machine learning to continuously improve analytical capabilities.</li><li>
Participate in code reviews and provide constructive feedback to peers fostering a collaborative team environment.</li><li>
Ensure compliance with data governance and security policies maintaining confidentiality and integrity of data.</li><li>
Optimize data workflows and processes to enhance productivity and reduce operational costs.</li><li>
Provide technical support and guidance to junior team members promoting knowledge sharing and skill development.</li><li>
Work effectively in rotational shifts to ensure consistent support and availability for project needs. Qualifications</li><li>
Demonstrate proficiency in Machine Learning techniques and their application in real-world scenarios.</li><li>
Exhibit strong programming skills in Python3 with the ability to write efficient and scalable code.</li><li>
Possess in-depth knowledge of mySQL for database management and query optimization.</li><li>
Have experience in the Hi-Tech domain understanding industry-specific challenges and opportunities.</li><li>
Show excellent communication skills in English both written and spoken to interact with diverse teams.</li><li>
Display problem-solving skills with a focus on delivering practical and impactful solutions.</li><li>
Be adaptable to work in rotational shifts ensuring flexibility and commitment to project timelines.</li></ul><p><b><br>
Certifications Required</b></p><p>
Certified Data Scientist (CDS) Python Programming Certification mySQL Database Certification</p></div>

Associate-Data Science

PwC Acceleration Center India

<div>
 <p>
  PwC AC is hiring for Data scientist
 </p>
 <p>
  Apply and get a chance to work with one of the Big4 companies #PwC AC.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Tit
  </strong>
  le
  <strong>
   :
  </strong>
  Data scientist
 </p>
 <p>
  <strong>
   Years of Experienc
  </strong>
  e: 3-7 years
 </p>
 <p>
  <strong>
   Shift Timin
  </strong>
  gs: 11AM-8PM
 </p>
 <p>
  <strong>
   Qualificati
  </strong>
  on: Graduate and above(Full time)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About PwC CTIO &ndash; AI Engineering
  </strong>
 </p>
 <p>
  PwC&rsquo;s
  <strong>
   Commercial Technology and Innovation Office (CTIO)
  </strong>
  is at the forefront of emerging technology, focused on building transformative AI-powered products and driving enterprise innovation. The
  <strong>
   AI Engineering
  </strong>
  team within CTIO is dedicated to researching, developing, and operationalizing cutting-edge technologies such as Generative AI, Large Language Models (LLMs), AI Agents, and more. Our mission is to continuously explore what's next&mdash;enabling business transformation through scalable AI/ML solutions while remaining grounded in research, experimentation, and engineering excellence.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Overview
  </strong>
 </p>
 <p>
  We are seeking a
  <strong>
   Senior Associate &ndash; Data Science/ML/DL/GenAI
  </strong>
  to join our high-impact, entrepreneurial team. This individual will play a key role in designing and delivering scalable AI applications, conducting applied research in GenAI and deep learning, and contributing to the team&rsquo;s innovation agenda. This is a hands-on, technical role ideal for professionals passionate about AI-driven transformation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and deploy machine learning, deep learning, and Generative AI solutions tailored to business use cases.
  </li>
  <li>
   Build scalable pipelines using Python (and frameworks such as Flask/FastAPI) to operationalize data science models in production environments.
  </li>
  <li>
   Prototype and implement solutions using state-of-the-art LLM frameworks such as LangChain, LlamaIndex, LangGraph, or similar. Also developing applications in streamlit/chainlit for demo purposes.
  </li>
  <li>
   Design advanced prompts and develop agentic LLM applications that autonomously interact with tools and APIs.
  </li>
  <li>
   Fine-tune and pre-train LLMs (HuggingFace and similar libraries) to align with business objectives.
  </li>
  <li>
   Collaborate in a cross-functional setup with ML engineers, architects, and product teams to co-develop AI solutions.
  </li>
  <li>
   Conduct R&amp;D in NLP, CV, and multi-modal tasks, and evaluate model performance with production-grade metrics.
  </li>
  <li>
   Stay current with AI research and industry trends; continuously upskill to integrate the latest tools and methods into the team&rsquo;s work.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    3 to 7 years
   </strong>
   of experience in Data Science/ML/AI roles.
  </li>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent technical discipline (BE/BTech/MCA).
  </li>
  <li>
   Proficiency in Python and related data science libraries: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras, etc.
  </li>
  <li>
   Hands-on experience with
   <strong>
    Generative AI
   </strong>
   , including prompt engineering, LLM fine-tuning, and deployment.
  </li>
  <li>
   Experience with Agentic LLMs and task orchestration using tools like LangGraph or AutoGPT-like flows.
  </li>
  <li>
   Strong knowledge of NLP techniques, transformer architectures, and text analysis.
  </li>
  <li>
   Proven experience working with cloud platforms (preferably Azure; AWS/GCP also considered).
  </li>
  <li>
   Understanding of production-level AI systems including CI/CD, model monitoring, and cloud-native architecture. (Need not develop from scratch)
  </li>
  <li>
   Familiarity with ML algorithms: XGBoost, GBM, k-NN, SVM, Decision Forests, Naive Bayes, Neural Networks, etc.
  </li>
  <li>
   Exposure to deploying AI models via APIs and integration into larger data ecosystems.
  </li>
  <li>
   Strong understanding of model operationalization and lifecycle management.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Good to Have
  </strong>
 </p>
 <ul>
  <li>
   Experience with Docker, Kubernetes, and containerized deployments for ML workloads.
  </li>
  <li>
   Use of MLOps tooling and pipelines (e.g., MLflow, Azure ML, SageMaker, etc.).
  </li>
  <li>
   Experience in full-stack AI applications, including visualization (e.g., PowerBI, D3.js).
  </li>
  <li>
   Demonstrated track record of delivering AI-driven solutions as part of large-scale systems.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Soft Skills &amp; Team Expectations
  </strong>
 </p>
 <ul>
  <li>
   Strong written and verbal communication; able to explain complex models to business stakeholders.
  </li>
  <li>
   Ability to independently document work, manage requirements, and self-drive technical discovery.
  </li>
  <li>
   Desire to innovate, improve, and automate existing processes and solutions.
  </li>
  <li>
   Active contributor to team knowledge sharing, technical forums, and innovation drives.
  </li>
  <li>
   Strong interpersonal skills to build relationships across cross-functional teams.
  </li>
  <li>
   A mindset of continuous learning and technical curiosity.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Certifications
   <em>
    (at least two are preferred)
   </em>
  </strong>
 </p>
 <ul>
  <li>
   Certifications in Machine Learning, Deep Learning, or Natural Language Processing.
  </li>
  <li>
   Python programming certifications (e.g., PCEP/PCAP).
  </li>
  <li>
   Cloud certifications (Azure/AWS/GCP) such as Azure AI Engineer, AWS ML Specialty, etc.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Join PwC CTIO?
  </strong>
 </p>
 <ul>
  <li>
   Be part of a mission-driven AI innovation team tackling industry-wide transformation challenges.
  </li>
  <li>
   Gain exposure to bleeding-edge GenAI research, rapid prototyping, and product development.
  </li>
  <li>
   Contribute to a diverse portfolio of AI solutions spanning pharma, finance, and core business domains.
  </li>
  <li>
   Operate in a startup-like environment within the safety and structure of a global enterprise.
  </li>
  <li>
   Accelerate your career as a deep tech leader in an AI-first future.
  </li>
 </ul>
</div>


Data Scientist

Search 10000+ Associate data scientist jobs near you this November. New roles added regularly across leading industries. Apply today.

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