associate data scientist

<div>Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics &amp; AI
Management Level
Senior Associate
Job Description &amp; Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
 
 
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
<ul><li><div><div><div>At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us .
</div></div></div></li><li><div><div><div><div><div>At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm&rsquo;s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. &quot;
</div><div></div><div>Job Description &amp; Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
Responsibilities:
About the Role: We are looking for a highly skilled Data Scientist who can work across the entire data science lifecycle&mdash;from feature engineering and model development to deployment and monitoring&mdash;using modern ML platforms. The ideal candidate will have hands-on experience with Azure Machine Learning, Databricks, and MLflow, and will be comfortable building scalable solutions for real-world business problems. What will you do: Data Preparation &amp; Feature Engineering &middot; Collect, clean, and preprocess structured and unstructured data from multiple sources. &middot; Perform feature selection, transformation, and creation for optimal model performance. Model Development &middot; Design, train, and validate predictive and prescriptive models using advanced statistical and machine learning techniques. &middot; Experiment with algorithms for classification, regression, clustering, and NLP. Model Deployment &amp; Monitoring &middot; Deploy models into production using MLflow and Azure ML pipelines. &middot; Implement model versioning, reproducibility, and automated retraining strategies. End-to-End ML Lifecycle Management &middot; Manage experiments, track metrics, and maintain model registry in MLflow. &middot; Ensure compliance with MLOps best practices for scalability and reliability. Collaboration &amp; Communication &middot; Work closely with data engineers, business analysts, and stakeholders to translate business requirements into data-driven solutions. &middot; Present insights and recommendations through dashboards and reports.
Mandatory skill sets:
&lsquo;Must have&rsquo; knowledge, skills and experiences Technical Expertise &middot; Strong proficiency in Python (pandas, scikit-learn, PySpark) and SQL. &middot; Experience with Azure Machine Learning, Databricks, and MLflow. &middot; Solid understanding of MLOps principles and CI/CD for ML models.
Data Science &amp; ML &middot; Hands-on experience in feature engineering, model selection, hyperparameter tuning. &middot; Familiarity with deep learning frameworks (TensorFlow, PyTorch) is a plus. Cloud &amp; Big Data &middot; Knowledge of Azure services like Azure Data Lake, Azure Fabric, and Azure Functions. &middot; Experience working with large-scale data on distributed systems. Soft Skills &middot; Strong problem-solving and analytical skills. &middot; Excellent communication and stakeholder management abilities.
Preferred skill sets:
&lsquo;Good to have&rsquo; knowledge, skills and experiences &middot; Familiarity with data lake architectures and delta lake concepts &middot; Familiarity with Azure ML/Databricks ML
Years of experience required: &middot; 5-8 years
Education qualification:
o BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)
</div></div></div></div></div></li></ul>Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Microsoft Azure, Python (Programming Language)
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date</div>

IN_Senior Associate_Data Scientist _Data and Analytics_Advisory_Bangalore

JPMorganChase

<div>JOB DESCRIPTION 
Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.<div> 
</div><div>As a Data Scientist Associate Senior at JPMorgan Chase within the Asset &amp; Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.</div><div>
Job responsibilities<div>
</div><ul><li>Advises and collaborate with all of JPMorgan&rsquo;s lines of business and functions to delivery software solutions.
</li><li>Experiments, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact.
</li><li>Designs and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result.
</li><li>Adds to team culture of diversity, opportunity, inclusion, and respect</li></ul>
</div><div>Required qualifications, capabilities, and skills<div>
</div><ul><li>Formal training or certification on Data science concepts and 3+ years applied experience</li><li>
Solid programming skills with Python/Java or other equivalent languages.
</li><li>Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
</li><li>Expert in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
</li><li>Knowledge of machine learning frameworks: Tensorflow/Pytorch
</li><li>Knowledge of prompt engineering.
</li><li>Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB, Elastic. Cloud Technologies: AWS/GCP/Azure, Kubernetes
</li></ul></div>ABOUT US<div> 
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. 
 
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</div> 
 
 
ABOUT THE TEAM 
 
J.P. Morgan Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.</div>

Connect Coach - Data Scientist Associate

<div>JOB DESCRIPTION 
Join us to advance your data science career and make a meaningful impact on product development at Chase.
As a Data Scientist Senior Associate within the Data Analytics Team, you will leverage data science to optimize product development and operational efficiency. You will collaborate across teams to deliver actionable insights that drive business value and continuous improvement.
Job responsibilities<ul><li>
Collaborates with product managers, engineers, and stakeholders to translate business objectives into data-driven solutions</li><li>
Analyzes large, complex data sets to identify trends, patterns, and opportunities for improvement</li><li>
Develops and implements predictive models and machine learning algorithms to forecast product performance</li><li>
Designs and conducts experiments to validate model outcomes and ensure reliability</li><li>
Creates and maintains dashboards and reports to visualize key metrics and insights</li><li>
Mentors data scientists and contributes to a collaborative, innovative team environment</li><li>
Stays current with industry trends, emerging technologies, and best practices in data science</li></ul>
Required qualifications, capabilities, and skills<ul><li>
Bachelor&rsquo;s degree in data science, statistics, computer science, or a related field</li><li>
Three years of experience in data science, analytics, or a related role</li><li>
Hands-on experience with data analytics and visualization techniques such as SQL, Python, Tableau, and big data technologies like Hadoop, Cassandra, AWS</li><li>
Expertise in machine learning techniques, statistical modeling, and data mining</li><li>
Excellent problem-solving skills with the ability to derive actionable insights from complex data sets</li><li>
Strong written and verbal communication skills for diverse audiences, including senior leadership</li><li>
Ability to work independently and collaboratively in a fast-paced environment</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
Master&rsquo;s degree in data science, statistics, computer science, or a related field with work experience preferably in financial services or technology
</li><li>Experience with Agile methodologies</li><li>
Proficiency in Atlassian tools such as Jira and Jira Align</li><li>
Ability to manage workflows and enhance team collaboration</li></ul>
ABOUT US<div> 
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. 
 
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</div> 
 
 
ABOUT THE TEAM 
<div>
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div><div> 
 
</div><div>The CCB Data &amp; Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.</div></div>

Data Scientist Senior Associate

<div>
 
 Job Description
 
 
 
 Join J.P. Morgan&rsquo;s Corporate &amp; Investment Bank, a global leader trusted by corporations, governments, and institutions in over 100 countries. Our Payments division processes $6 trillion daily, leading industry transformation. As part of Merchant Services, you'll work with a top provider of payment, fraud management, and data security solutions, supporting transactions in over 130 currencies. The Payments Data and Analytics team, comprising data scientists, design strategists, and business leaders, crafts data products that revolutionize business operations. Be part of a team that impacts thousands of clients globally and promotes significant change within J.P. Morgan.
 
 
 As a Data Scientist Associate within the Payments Data and Analytics team, you will be responsible for executing big data analytics projects to promote product innovation for Merchant Services. You will focus on delivering value to clients and the firm through ChaseNet Analytics, analyzing complex payment structures, and creating insightful visualizations. Your role will involve collaborating with stakeholders to understand business objectives, developing data models, and providing actionable recommendations to optimize payment performance. You will have the opportunity to work with cutting-edge technologies and contribute to the transformation of financial services.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Develop and plan analytic projects through understanding the business objectives in the team strategy roadmap
 </li>
 <li>
 Develop robust analysis and deliverable plans to support clear and shared understanding of project requirements and goals
 </li>
 <li>
 Develop the data, queries, tables and visualizations that deliver insight both as an individual contributor and in collaboration with teammates
 </li>
 <li>
 Through deep subject matter expertise, create actionable recommendations to merchants on how to optimize their payment performance
 </li>
 <li>
 Productionalize Tableau dashboards for resilience and the functionality users need
 </li>
 <li>
 Bring your creative solutions to the firm&rsquo;s biggest problems: where could our existing solutions do better?
 </li>
 <li>
 Contribute to the development of data models for future analytics and platforms in conjunction with data owners and department managers,
 </li>
 <li>
 Collaborate with unit managers, end users, development staff, and other stakeholders to understand the business value of each analytic effort
 </li>
 <li>
 Apply quality assurance best practices for analytics services and support user feedback and questions
 </li>
 <li>
 Adhere to change control and testing processes for modifications to code and products
 
 
 </li>
 </ul>
 
 Required Qualifications, Capabilities And Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in engineering, computer science, statistics, mathematics or similar technical or quantitative field
 </li>
 <li>
 3+ years of working in a big data environment as a contributing member in self-directed roles
 </li>
 <li>
 Deep experience across the full range of database and business intelligence tools especially SQL on Snowflake, Python, and ability for rapid prototyping in Tableau; publishing and presenting information in an engaging way
 </li>
 <li>
 Understanding of algorithms and software engineering fundamentals
 </li>
 <li>
 Demonstrated ability to distill KPIs and other performance metrics from data
 </li>
 <li>
 Intensive, recent experience in assessing and sourcing data, optimizing data structure and managing database query performance
 </li>
 <li>
 Ability to clearly develop and document analytic requirements with stakeholders
 </li>
 <li>
 Strong interpersonal and communication skills, ability to work across functions as well as with outside parties to ensure alignment and timely implementation of initiatives
 </li>
 <li>
 Proven strategic thinking and creative problem-solving skills with ability to translate strategy into deliverables
 
 
 </li>
 </ul>
 
 Preferred Qualifications, Capabilities And Skills
 
 
 
 <ul>
 <li>
 Experience in the payments industry and/or technology-enabled industries is desirable
 </li>
 <li>
 Build trust-based relationships; we succeed as a team
 </li>
 <li>
 Charisma, gravitas, intellect, flexibility, and integrity that motivates others to trust, collaborate, and follow
 </li>
 <li>
 Have strong interpersonal and communication skills and the ability to work across functions as well as with outside parties to ensure alignment and timely implementation of initiatives
 </li>
 <li>
 Think creatively and contribute ideas at all levels of project development
 </li>
 <li>
 Meet deadlines and communicate obstacles to delivery as soon as they become known
 </li>
 <li>
 Be results oriented and have great attention to detail
 
 
 </li>
 </ul>
 
 ABOUT US
 
 
 
 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
 
 
 We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
 
 
 
 About The Team
 
 
 
 J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
</div>

Payments - Data Scientist Associate

Glow Beauty On Demand

Job Title Applied Data Science Associate - AI and Machine Learning Training Dubai Job Description Applied Data Science Associate - AI and Machine Learning Training Dubai Role Summary DataRobot is offering a unique opportunity for aspiring data professionals in Dubai to join our Applied Data Science Associate program. This full-time, paid training experience is designed for those with technical backgrounds who are eager to launch or advance a career in AI. Over six months, you ll work alongside leading experts, learn to use our powerful AI platform, and gain hands-on experience delivering real-world impact for global clients. Arabic and English fluency is required, and you must be based in the Dubai area. Employment Overview * Job Location: Dubai, UAE * Industry: Information Technology and Services * Function: Data Science / Analytics * Gender: Any * Candidate Nationality: Any * Candidate Current Location: Dubai, UAE (Required) * Job Type: Full-time What You ll Do * Participate in an intensive 6-month development program built around customer-facing data science skills * Master core AI techniques: classification, regression, time series, anomaly detection * Learn to wrangle and analyze data using Python, R, and other tools * Become a platform expert across DataRobot's GUI and API clients * Consult with customers from data scientists to executives on real use cases and value-driving strategies * Translate complex data science into practical business outcomes * Collaborate with sales, consulting, and engineering teams on enterprise AI delivery * Gain direct exposure to the most advanced generative and predictive AI applications in the market Ideal Profile * Bachelor's or graduate degree in a technical field (e.g., computer science, engineering, physics) * Alternatively, at least 3 years in a technical product or data-related role * Fluency in Arabic and English (spoken and written) * Passion for AI, machine learning, and solving business problems with data * Self-driven, curious, and open to learning from experts in the field * Strong communication skills and ability to build trusted relationships with clients * Currently residing in Dubai or the surrounding area Why Join Us * Fast-track career growth with structured, high-impact mentorship * Learn directly from top AI scientists and practitioners * Full-time role with competitive salary and comprehensive benefits * Pathway to a Data Science Associate position upon program completion * Inclusive and innovative workplace that celebrates diverse talent * Join a global AI leader helping enterprises realize value through responsible, scalable AI

Applied Data Science Associate

Folio3

<div><div>Join Folio3 as an Associate Data Engineer and master data pipelines while assisting our experienced team with critical cloud infrastructure.
<h4 class="jobSectionHeader">
Responsibilities:</h4>
<ul><li>Assist in building and maintaining ETL/ELT pipelines under supervision.</li>
<li>Work with structured/unstructured data from APIs, CSV, or operational systems.</li>
<li>Develop basic SQL and Python scripts for data cleaning, transformation, and validation.</li>
<li>Support data ingestion into Snowflake, Databricks, or cloud data warehouses.</li>
<li>Document data flows, maintain metadata, and perform data quality checks.</li>
<li>Troubleshoot data loading and integration issues.</li>
</ul><h4 class="jobSectionHeader">Requirements:</h4>
<ul><li>1-2 years of progressive, hands-on experience in Data Engineering.</li>
<li>Basic SQL and Python programming.</li>
<li>Exposure to one cloud platform (AWS, Azure, or GCP).</li>
<li>Understanding of data warehouse concepts (fact/dimension tables, joins).</li>
<li>Familiarity with Git and version control.</li>
<li>Curiosity to learn Databricks, dbt, or Airflow.</li></ul></div></div>

Associate Data Engineer

Medasource

<div>
 
 
 Title:
 
 Associate Scientist I
 
 
 
 Duration:
 
 Contract through June 2026
 
 
 
 Schedule:
 
 M-F 8-5 Onsite
 
 
 
 Occupational Summary
 
 
 
 The Associate Scientist I will support the development, qualification, and execution of analytical methods to
 
 
 enable optimization of processes, formulations and characterization of vaccine products. This incumbent in this
 
 
 position will be involved in pharmaceutical and analytical development for GMP production of vaccine products
 
 
 and therapeutics.
 
 
 
 Work Performed
 
 
 
 &bull; Perform pharmaceutical development and successful GMP release including:
 
 
 o Analytical development
 
 
 o Develop product specific release and characterization methods
 
 
 &bull; Quality methods for product release and complete comprehensive characterization of clinical lots
 
 
 &bull; Complete GMP testing in line with OCH and regulatory guidance
 
 
 &bull; Formulation development - developing formulations to stabilize vaccine products
 
 
 &bull; Employ analytical characterization tools to inform product formulation design
 
 
 &bull; Lead formulation &amp; filling of vaccine products including tech transfer &amp; production under GMP
 
 
 conditions
 
 
 &bull; Execute and document development and GMP actitivites in compliance with regulatory requirements
 
 
 &bull; Collaborate closely with other development teams to provide support for development activities and will
 
 
 work diligently with other development functions to understand how the production process changes
 
 
 impact product quality
 
 
 &bull; Compile data and perform analysis and interpretation and draw conclusions regarding progress and
 
 
 results of work, utilizing the data in appropriate decision making; summarize date, present results and
 
 
 propose next steps to advance development
 
 
 &bull; Write and review development reports; writes procols for tech transfer and SOPs for GMP production,
 
 
 and present data to project teams and larger settings
 
 
 
 Required Qualifications
 
 
 
 &bull; Knowledge and hands on classwork with analytical methods and/or product formulation
 
 
 &bull; Hands on experience with specific analytical methods (HPLC, immunoassays, biochemical methods),
 
 
 molecular or pharmaceutical product formulation (buffer &amp; excipient screening, thermal stability
 
 
 evaluation, biophysical methods) is preferred.
 
 
 &bull; GMP experience huge plus
 
 
 &bull; Must have the ability to work independently with guidance from senior scientists/managers
 
 
 &bull; Demonstrated ability in solving moderately complex analytical problems with guidance from senior
 
 
 development scientists
 
 
 &bull; Strong oral and written communication skills
 
</div>

Associate Scientist

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