data analyst

data scientist

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data quality analyst

data science engineer

technical data analyst python

Addepar

<div>
 
 Who We Are
 
 
 
 Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 50 countries, Addepar's platform aggregates portfolio, market and client data for over $8 trillion in assets. Addepar's open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in New York City, Salt Lake City, Chicago, London, Edinburgh, Pune, Dubai, and Geneva.
 
 
 
 The Role
 
 
 
 A Technical Data Analyst is responsible for performing data migration, data conversion and data validation projects for Addepar clients using existing tools and established processes. The ideal candidate will have a good understanding of financial portfolio data, a foundational level of python programming skills, exceptional communication skills and the ability to deliver results in alignment with project deadlines while meeting high quality standards.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Convert, migrate and validate data from external or internal sources using existing tooling with defined processes and workflows
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 Complete data projects on-time meeting project deadlines while adhering to high quality standards
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 Coordinate across project teams communicating regular status updates for assigned data projects and while effectively setting expectations
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 Run python ETL scripts and at times modify, fix or debug as needed
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 Raise keys issues to project team members and senior leadership as necessary
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 Prioritize and context-switch effectively to complete simultaneous projects; seeing each through to the finish line
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 Adhere to project management standard processes
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 Identify and drive opportunities to improve current processes, workflows and tools to increase efficiency and automation
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Minimum 2+ years experience working in technology and finance
 </li>
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 Experience working with colleagues spread across multiple global locations
 </li>
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 Must have domain experience wealth/portfolio/investment management.
 </li>
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 Proficient in Python programming language and well versed in ETL concepts
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 Must have experience working in financial markets and has experience with financial products and wealth / portfolio data.
 </li>
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 Excellent written and oral communication skills with the ability to convey complex information in an understandable manner
 </li>
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 Solution-oriented and passion for problem solving
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 Highly organized, close attention to detail and driven to make processes more efficient
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 Positive attitude, good work ethic, proactive and a high contributing teammate
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 Independent, adaptable and can work with minimum supervision
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 Proven ability to manage expectations and provide regular updates to the project team
 
 
 </li>
 </ul>
 
 Important Note: This role will require you to work from Pune office 3 days a week in UK shift i.e. 2:30 PM to 11:30 PM IST. (hybrid role)
 
 
 
 
 Our Values
 
 
 
 <ul>
 <li>
 Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
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 Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
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 Champion Our Clients - Exceed client expectations. Our clients&rsquo; success is our success.
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 Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
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 Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.
 
 
 </li>
 </ul>
 In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.
 
 
 We will ensure that individuals with disabilities are provided 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 accommodation.
 
 
 PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote &ldquo;interviews,&rdquo; and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to TAinfo@addepar.com.
</div>

Technical Data Analyst - Python

Tata Consultancy Services

<div>
 
 Skill-Data Analyst - Big Query
 
 
 Exp-6 to 10 yrs
 
 
 Location - Pune
 
 
 Mandatory Technical Skill Set
 
 
 
 EXP in Looker Studio tools. Proficiency in SQL, especially in the context of Google BigQuery and the Google Cloud Platform (GCP)
 
 
 
 Good to have skills
 
 
 
 Knowledge of Python or R, particularly for more advanced analyses or running A/B tests
 
 
 
 
 Must-Have
 
 
 <ul>
 <li>
 Experience with Looker Studio (or similar visualization tools) &mdash; able to build and maintain dashboards independently.
 </li>
 <li>
 Proficiency in SQL, especially in the context of Google BigQuery and the Google Cloud Platform (GCP) navigating our data setup shouldn&rsquo;t require handholding.
 </li>
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 Solid general analytical skills, able to interpret and communicate findings that support product and UX decisions
 </li>
 </ul>
 
 Communication skills: excellent communication skills, both verbal and written, to convey technical information to both technical and non-technical team members and colleagues.
 
 
 
 
 
 Problem-solving skills: be able to identify and solve complex technical problems and anticipate and prevent potential issues before they arise.
 
 
 
 
 
 
 Team player
 
 : works collaboratively with other team members and other teams to achieve our goals. Cater for good collaboration within the team and ensure the team's work progresses efficiently and smoothly.
 
 
 
 Good-to-Have
 
 
 
 An understanding of GDPR and privacy best practices.
 
 
 Knowledge of Python or R, particularly for more advanced analyses or running A/B tests.
 
</div>

Data Analyst

Persistent Systems

<div>
 
 
 About Position:
 
 
 
 
 
 
 We are seeking a Business Analyst / Data Analyst with strong domain expertise in BFSI and specialized knowledge in Anti-Money Laundering (AML) or Fraud Prevention. This role involves working closely with architects, product managers, and engineering teams to define and deliver high-quality product requirements and solutions
 
 
 
 
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 Role: Business Analyst
 
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 Location: Pune
 
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 <li>
 
 Experience: 4 to 9 years
 
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 Job Type: Full Time Employment
 
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 </ul>
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
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 You will play a key role in bridging business needs and technical solutions by defining detailed functional and non-functional requirements, facilitating communication across teams, and ensuring successful product delivery.
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 Collaborate with architects, R&amp;D, product managers, and vendors to understand high-level design and requirements.
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 Define detailed functional product requirements including source-to-target mapping, transformation rules, and data integration needs.
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 Specify non-functional requirements related to performance, scalability, and serviceability.
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 Interface with customers to gather data requirements and support product implementation.
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 Facilitate clear communication between multiple product and engineering teams.
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 Prioritize and scope user stories with product management and engineering for timely delivery.
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 Define acceptance criteria for user stories and conduct internal product demos.
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 Provide functional test considerations and support customer support, presales, and product teams.
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 Recommend product features and design improvements to meet strategic goals.
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 </ul>
 
 
 
 
 
 Expertise You'll Bring:
 
 
 
 
 
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 We expect you to have strong analytical skills, domain knowledge, and the ability to translate business needs into actionable technical requirements.
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 4&ndash;9 years of experience as a Business Analyst / Data Analyst.
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 BFSI domain expertise &ndash; Mandatory.
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 Knowledge of AML or Fraud Prevention &ndash; Mandatory.
 </li>
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 Proficiency in writing business use cases, scenarios, and functional test cases.
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 Strong understanding of SQL and data analysis.
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 Hands-on experience with source-to-target mapping, transformation rules, and data management.
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 Familiarity with schemas, metadata, and standard banking interfaces.
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 Experience in data integration, data quality, and validation.
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 Ability to create specifications from business requirements and communicate them effectively to software teams.
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 Strong communication and presentation skills in English.
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 Experience with Agile methodologies, user stories, and acceptance criteria.
 </li>
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 Proficiency with tools like MS Teams, JIRA, AHA, MS Excel, MS Access, and MS Visio.
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 
 
 
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 Competitive salary and benefits package
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 Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
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 Opportunity to work with cutting-edge technologies
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 Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
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 Annual health check-ups
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 Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
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 </ul>
 
 
 
 
 
 Values-Driven, People-Centric &amp; Inclusive Work Environment:
 
 
 
 
 
 
 Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
 
 
 
 
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 We support hybrid work and flexible hours to fit diverse lifestyles.
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 Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
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 If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
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 </ul>
 
 
 
 
 
 Let&rsquo;s unleash your full potential at Persistent - persistent.com/careers
 
 
 
 
 
 
 
 
 &ldquo;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&rdquo;
 
 
 
</div>

Business Analyst

Aligned Automation

<div>
 
 
 Job Description:
 
 
 
 
 
 Role Overview:
 
 
 
 
 We are seeking a seasoned ML Engineer with strong MLOps expertise to lead and scale our machine learning infrastructure. The ideal candidate will be responsible for designing, deploying, and maintaining robust ML pipelines, ensuring model reproducibility, scalability, and performance in production environments.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
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 Participate in Agile/Scrum ceremonies and contribute to sprint planning and retrospectives.
 
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 </ul>
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 Scope and break down complex ML problems into actionable tasks.
 
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 Write clean, scalable, and production-ready code for ML pipelines and services.
 
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 Design and implement efficient ETL workflows for structured and unstructured data.
 
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 Develop Python scripts for data preprocessing, feature engineering, and automation tasks.
 
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 </ul>
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 Submit and manage pull requests; resolve issues flagged by linters/scanners.
 
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 Conduct and participate in code reviews to ensure high-quality standards.
 
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 Collaborate with data scientists, software engineers, and DevOps teams.
 
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 Automate model training, validation, deployment, and monitoring workflows.
 
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 Implement CI/CD pipelines for ML models and data workflows.
 
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 Monitor model performance and data drift in production environments.
 
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 Ensure compliance with data governance and security standards.
 
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 </ul>
 
 
 
 
 
 
 
 
 Technical Skills:
 
 
 
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 Languages &amp; Frameworks:
 
 Python (advanced), SQL
 
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 </ul>
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 Data &amp; Storage:
 
 PostgreSQL, S3, data versioning tools
 
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 ETL Tools &amp; Practices:
 
 Airflow, Pandas, custom Python-based ETLs
 
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 </ul>
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 ML &amp; MLOps Tools:
 
 MLFlow (tracking, registry, deployment), LLMs (integration and fine-tuning), Hugging Face, TensorFlow/PyTorch (optional)
 
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 </ul>
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 Infrastructure &amp; DevOps:
 
 AWS ECS, Docker, Kubernetes (preferred), GitHub Actions
 
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 </ul>
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 Version Control &amp; Collaboration:
 
 GitHub, GitLab
 
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 Monitoring &amp; Logging:
 
 Prometheus, Grafana, or similar tools (optional but preferred)
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 </ul>
</div>

ML Engineer (MLOPS)

Accenture in India

<div>
 
 Project Role :
 
 Business Analyst
 
 
 
 Project Role Description :
 
 Analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Assess current state, identify customer requirements, and define the future state and/or business solution. Research, gather and synthesize information.
 
 
 
 Must have skills :
 
 Icertis Contract Intelligence ICI Platform Functional
 
 
 
 Good to have skills :
 
 Lean Architecture, NO SQL DBs
 
 
 
 Minimum 3 Year(s) Of Experience Is Required
 
 
 
 
 Educational Qualification :
 
 15 years full time education
 
 
 Summary: As a Business Analyst, you will engage in a variety of tasks that involve analyzing organizational processes and systems. Your typical day will include assessing the current state of business models, identifying customer requirements, and defining future states or business solutions. You will conduct research, gather information, and synthesize data to support decision-making and improve operational efficiency. Collaboration with various stakeholders will be essential as you work to align business needs with technological capabilities, ensuring that solutions are both effective and sustainable. Roles &amp; Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Facilitate workshops and meetings to gather requirements and feedback from stakeholders. - Develop and maintain documentation related to business processes and system requirements. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Icertis Contract Intelligence ICI Platform Functional. - Strong analytical skills to assess business processes and identify areas for improvement. - Experience in process mapping and documentation techniques. - Ability to communicate effectively with both technical and non-technical stakeholders. - Familiarity with project management methodologies and tools. Additional Information: - The candidate should have minimum 3 years of experience in Icertis Contract Intelligence ICI Platform Functional. - This position is based at our Pune office. - A 15 years full time education is required., 15 years full time education
</div>

ProcDNA

<div>
 
 About ProcDNA
 
 
 
 ProcDNA is a global consulting firm. Wefuse design thinking with cutting-edge technology to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 275+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged;it's ingrained in our DNA. Ready to join our epic growth journey.
 
 
 
 What are we looking for?
 
 
 
 As a Data Scientist- I, you will play a key role in delivering end-to-end data science solutions across pharmaceutical and healthcare engagements. The role demands a blend of technical depth, business acumen, and scientific curiosity. You will translate complex business problems into analytical frameworks, develop scalable machine learning and statistical solutions, and generate actionable insights that drive commercial, clinical, and operational impact for clients and patients worldwide. Beyond technical execution, you are expected to think strategically, framing business challenges, designing analytical approaches, and guiding clients toward the most effective data-driven decisions.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Own day-to-day execution of data science projects from problem definition to deployment, ensuring methodological rigor, business relevance, and timely delivery
 </li>
 <li>
 Build, tune, and validate advanced machine learning and statistical models, including supervised techniques (classification, regression, uplift), unsupervised methods (clustering, PCA, GMM), transformer models, and analytical frameworks (hypothesis testing, causal inference, survival analysis) using industry-standard libraries
 </li>
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 Develop clean, modular, and production-ready code with reusable components, adhering to best practices in version control, documentation, and scalable pipeline design for deployment in production or client-facing environments
 </li>
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 Synthesize insights from diverse data sources, including claims, prescription (LAAD), lab, EMR, and unstructured text, into clear narratives driving client decisions tailored to patient, HCP, and market contexts
 </li>
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 Collaborate with consultants, domain experts, and engineers to structure analytical workflows that answer complex commercial or clinical questions.
 </li>
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 Present findings and insights to internal and client stakeholders in a clear, structured, and actionable manner.
 </li>
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 Actively participate in client discussions, supporting solution development and storyboarding for business audiences
 </li>
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 Contribute to internal capability building through reusable ML assets, accelerators, and documentation to strengthen the team&rsquo;s solution portfolio.
 
 
 </li>
 </ul>
 
 Must have
 
 
 
 <ul>
 <li>
 Strong hands-on experience in Python, PySpark, and SQL for manipulating and handling large structured and unstructured datasets.
 </li>
 <li>
 Strong foundation in machine learning algorithms, feature engineering, model tuning, and evaluation techniques
 </li>
 <li>
 Proficiency in data visualization (Power BI, Tableau, MS Office suite or equivalent) and in translating analytical results effectively.
 </li>
 <li>
 Ability to structure ambiguous business problems, design analytical roadmaps, and communicate insights effectively to both technical and non-technical stakeholders.
 </li>
 <li>
 Strong collaboration and project-management skills for coordinating across multi-disciplinary teams.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Prior experience in the pharmaceutical or life sciences industry, with familiarity across structured data sources such as LAAD, Lab, Sales, and unstructured datasets (e.g., market research, physician notes, publications).
 </li>
 <li>
 Experience with R, Rshiny, and data platforms such as Databricks, AWS, Azure, or Snowflake is an advantage.
 </li>
 <li>
 Exposure to MLOps frameworks, including MLflow, Docker, Airflow, or CI/CD pipelines, to automate model training, deployment, and monitoring in scalable production environments.
 </li>
 <li>
 Experience mentoring junior analysts or collaborating in cross-functional data science teams.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or related fields.
 </li>
 <li>
 3&ndash;4 years of professional experience in data science, analytics, or advanced modeling roles
 </li>
 <li>
 Proven ability to balance analytical rigor with business understanding, delivering models that are explainable, actionable, and production-ready
 
 
 </li>
 </ul>
 Skills: docker,machine learning,python,models,ml flow,framework,design,ml,data science
</div>

Data Scientist - I

Uplers

<div>
 
 
 Experience:
 
 3 to 7 Years Exp
 
 
 
 Preferred Notice Period:
 
 Upto 30 Days
 
 
 
 Opportunity Type:
 
 Onsite (Pune)
 
 
 
 Placement Type:
 
 Full-time
 
 
 
 (*Note: This is a requirement for one of Uplers' Clients--Newton School)
 
 
 
 
 
 
 
 Must have skills:
 
 AI/ML
 
 and
 
 Deep Learning
 
 and
 
 LLMs
 
 OR
 
 NLP
 
 OR
 
 Transformers
 
 OR
 
 Statistical Modelling
 
 OR
 
 Agentic AI
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Teach Applied AI/ML: Design and deliver practical, project-based courses in AI/ML (Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, CV, ML Ops, GenAI).
 </li>
 <li>
 Develop Industry-Relevant Curriculum: Help design and update the AI/ML curriculum to reflect current industry tools, techniques, and best practices, incorporating your professional experience and case studies.
 </li>
 <li>
 Mentor Student Projects: Guide students through hands-on AI/ML projects, providing technical direction, code reviews, and feedback based on industry standards.
 </li>
 <li>
 Guide &amp; Mentor Students: Advise students on developing practical skills, understanding career paths in AI/ML, and preparing for internships and job placements.
 </li>
 <li>
 Stay Current: Bring the latest AI/ML research, tools, and industry trends into the classroom.
 </li>
 <li>
 Collaborate: Work closely with other expert faculty and staff to create a unified and effective learning experience.
 </li>
 <li>
 Assess Practical Skills: Design and evaluate assignments, projects, and assessments focused on real-world applications.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications &amp; Experience:
 
 
 <ul>
 <li>
 Bachelors or Masters degree in Computer Science, Engineering, Data Science, AI/ML, or related field. (PhD is valued but not mandatory.)
 </li>
 <li>
 3-7 years of direct, hands-on professional experience in the tech industry as an AI/ML Engineer, Data Scientist, Research Scientist, or similar role involving AI/ML development and deployment.
 </li>
 <li>
 Proven Industry Track Record: Demonstrated experience in building, training, and deploying machine learning models (including deep learning) for real-world problems.
 </li>
 <li>
 Deep AI/ML Understanding: Strong grasp of core ML algorithms (classical &amp; deep learning CNNs, RNNs, Transformers), model evaluation, statistics, and awareness of current research/industry trends.
 </li>
 <li>
 Passion for Teaching/Mentoring: Ability to explain complex concepts clearly and guide others. Prior mentoring, corporate training, technical workshops, or project supervision experience is highly relevant. (Formal academic teaching experience is not mandatory.)
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 Technical: Expert-level Python programming.
 </li>
 <li>
 Proficiency with data science libraries (Pandas, NumPy, Scikit-learn).
 </li>
 <li>
 Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch).
 </li>
 <li>
 Strong SQL and data handling skills.
 </li>
 <li>
 Understanding of ML Ops practices and tools (Git, Docker, AWS/GCP/Azure).
 </li>
 <li>
 Knowledge of key AI areas (NLP, Computer Vision, Generative AI/LLMs).
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 Strong communication, mentoring ability, collaboration, and a genuine passion for education.
 
 
 
 
 
 
 Good-to-Have
 
 
 <ul>
 <li>
 Prior teaching experience at the undergraduate or graduate level.
 </li>
 <li>
 Familiarity with modern teaching methodologies and academic tools.
 </li>
 </ul>
 
 
 
</div>

Data Scientist

Explore 150+ Technical data analyst python in Pune this November. Find roles across top companies and apply now to boost your career.

150 technical data analyst python jobs IN Pune

Technical Data Analyst - Python

Data Analyst

Business Analyst

ML Engineer (MLOPS)

Business Analyst

Data Scientist - I

Data Scientist