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2804 - business data analyst Jobs in Pune

2804 - business data analyst

business analyst

data science manager

Beghou Consulting

<div>
 For over 30 years, Beghou Consulting has been a trusted adviser to life science firms. We combine our strategic consulting services with proprietary technology to develop custom, data-driven solutions that allow life sciences companies to take their commercial operations to new heights. We are dedicated to client service and offer a full suite of consulting and technology services, all rooted in advanced analytics, to enhance commercial operations and boost sales performance.
 
 
 
 
 Purpose of Job
 
 
 As a Data Science Manager, you will lead a team of talented data scientists in leveraging advanced analytics, machine learning and Gen AI techniques to extract insights from complex datasets in the pharmaceutical / life sciences domain and effectively communicate the insights to various technical and non-technical audiences to optimize end outcomes. You will collaborate closely with cross-functional teams to drive data-driven decision-making and shape our product development and commercial delivery. Additionally, your experience in generative AI will be instrumental in exploring novel life sciences use cases and associated business development.
 
 
 
 We'll trust you to:
 
 
 
 <ul>
 <li>
 Lead and mentor a team of data scientists, providing guidance and support in project execution, methodology selection, and professional development
 </li>
 <li>
 Collaborate with stakeholders to define project objectives, deliverables, and success criteria, ensuring alignment with business goals and priorities
 </li>
 <li>
 Design and implement advanced analytics solutions to address complex challenges in drug discovery, clinical development, and commercialization
 </li>
 <li>
 Apply machine learning techniques, including deep learning and generative AI, to analyze diverse datasets (structured and unstructured) and generate actionable insights
 </li>
 <li>
 Drive innovation by staying abreast of emerging trends, technologies, and best practices in data science and the pharmaceutical industry
 </li>
 <li>
 Establish robust processes for data collection, preparation, and validation, ensuring the reliability and integrity of analytical models and findings
 </li>
 <li>
 Communicate findings and recommendations to technical and non-technical stakeholders through clear, compelling visualizations, presentations, and reports
 </li>
 <li>
 Collaborate with IT and data engineering teams to optimize data infrastructure and facilitate seamless integration of analytics solutions into existing systems
 </li>
 <li>
 Participate and contribute to thought leadership through active innovation, research and publication
 </li>
 <li>
 Own project management and provide guidance to project teams of junior team members
 
 
 
 
 
 </li>
 </ul>
 
 You'll need to have:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics) required; Ph.D. preferred
 </li>
 <li>
 9+ years of experience in data science, with a proven track record of delivering impactful solutions in the pharmaceutical and life sciences industry (Hands-on experience is preferred)
 </li>
 <li>
 Demonstrated success in managing data &amp; analytics engagements in life sciences or healthcare industries. Preferred expertise in analytics related to drug commercialization (sales force analytics, omnichannel, attribution modeling etc.). Analytical Diversity and agility preferred
 </li>
 <li>
 Strong proficiency in machine learning, statistical analysis, and data manipulation using Python, or similar state of the art tools. Experience in development and deployment of large scale products/solutions is preferred
 </li>
 <li>
 Experience working with cloud platforms such as AWS, Azure, or GCP, including deploying, managing, and optimizing cloud-based solutions
 </li>
 <li>
 Experience with generative AI development and associated techniques, such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and RL (Reinforcement Learning), preferred
 </li>
 <li>
 Demonstrated leadership skills, with experience in managing and mentoring a team of data scientists and collaborating with other stakeholders (consulting, IT, tech etc.)
 </li>
 <li>
 Excellent communication and collaboration skills, with the ability to translate complex technical concepts into clear, actionable insights for diverse audiences. Client management experience is a plus
 </li>
 <li>
 Strong problem-solving and critical-thinking abilities, with a research-oriented mindset and passion for tackling challenging problems, driving innovation in healthcare using ever evolving AI techniques
 
 
 
 
 
 </li>
 </ul>
 What you should know:
 
 
 
 <ul>
 <li>
 We treat our employees with respect and appreciation, not only for what they do but who they are
 </li>
 <li>
 We value the many talents and abilities of our employees and promote a supportive, collaborative, and dynamic work environment that encourages both professional and personal growth
 </li>
 <li>
 You will have the opportunity to work with and learn from all levels in the organization, allowing everyone to work together to develop, achieve, and succeed with every project
 </li>
 <li>
 We have had steady growth throughout our history because the people we hire are committed not only to delivering quality results for our clients, but also to becoming leaders in sales and marketing analytics
 
 
 
 
 </li>
 </ul>
</div>

Data Science Manager

<div>
 
 Job Reference #
 
 
 318000BR
 
 
 
 Job Type
 
 
 Full Time
 
 
 
 Your role
 
 
 
 <ul>
 <li>
 build advanced statistical models to generate meaningful and actionable insights, improve decision making, optimize the business process, and help address business problems.
 </li>
 <li>
 work on generative ai (genai) models to deliver personalized insights and solutions for clients, financial advisors, and prospects.
 </li>
 <li>
 leverage advanced data science techniques to analyze large datasets and extract actionable insights.
 </li>
 <li>
 collaborate with cross-functional teams to integrate predictive models into wealth management decision-making processes.
 </li>
 <li>
 implement and utilize tools like langchain, langgraph, and vector databases to build scalable, efficient ai-driven solutions.
 
 
 </li>
 </ul>
 
 Your team
 
 
 You will be part of the Data Science STAAT Team, WMA Technology. Our Data Science team is at the heart of DAFP&rsquo;s function to manage and support data science efforts across different business areas.
 
 
 
 Your expertise
 
 
 
 <ul>
 <li>
 bachelor&rsquo;s degree or higher in machine learning, computer science, computational linguistics, mathematics or other relevant technical field from premier institute.
 </li>
 <li>
 strong foundation in probability, statistics, linear algebra, calculus, machine learning and generative ai/llm.
 </li>
 <li>
 expertise in deep learning techniques and applications.
 </li>
 <li>
 strong understanding of generative ai (genai) including math behind the models and its practical implementations.
 </li>
 <li>
 hands-on experience working with large language model apis like azure openai, anthropic etc.. and cloud ecosystems like azure, aws, gcp, databricks
 </li>
 <li>
 proficiency in langchain, langgraph, and working with vector databases for advanced data retrieval and ai workflows.
 </li>
 <li>
 proficiency in python or similar programming languages, with experience in ai/ml libraries and frameworks such as tensorflow, pytorch, or hugging face.
 </li>
 <li>
 knowledge of financial products, including mutual funds, etfs, and client segmentation, is a plus.
 
 
 </li>
 </ul>
 
 About Us
 
 
 UBS is the world&rsquo;s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal &amp; Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors..
 
 
 We have a presence in all major financial centers in more than 50 countries.
 
 
 
 How We Hire
 
 
 
 We may request you to complete one or more assessments during the application process. Learn more
 
 
 
 Join us
 
 
 At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We&rsquo;re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That&rsquo;s why collaboration is at the heart of everything we do. Because together, we&rsquo;re more than ourselves.
 
 
 We&rsquo;re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
 
 
 
 Disclaimer / Policy Statements
 
 
 UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
 
 
 
 Your Career Comeback
 
 
 We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.
</div>

Data Scientist

Infosys Consulting

<div>
 
 Infosys Consulting, the management consulting business of Infosys, is looking to hire Data Scientists. You should have between 2 to 10 years of Data Science experience.
 
 
 
 
 
 Successful candidates will be part of a specialized customer-facing AI Labs team in our rapidly expanding Automation &amp; Artificial Intelligence Consulting Practice. They will work closely with our AI Consultants and SMEs to define and deliver best-in-class solutions.
 
 
 
 
 
 You will be entrepreneurial, inspired by execution excellence, possess strong design skills creating client deliverables and bid documents, highly analytical, emotionally intelligent, a team player, and only satisfied when your work has a meaningful impact. You will help our clients identify and qualify opportunities to leverage automation to unlock business value and maintain a competitive edge.
 
 
 
 
 
 Infosys Consulting offers exceptional opportunity for personal growth, and, alongside client engagements, you will be recognized for your personal contribution to leading and developing new opportunities, developing thought leadership and service offerings in the domains of artificial intelligence and automation.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 You will need to be well spoken and have an easy time establishing productive long lasting working relationships with a large variety of stakeholders
 </li>
 <li>
 Take the lead on data pipeline design with strong analytical skills and a keen eye for detail to really understand and tackle the challenges businesses are facing
 </li>
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 You will be confronted with a large variety of Data Science tools and other new technologies as well with a wide variety of IT, compliance, security related issues.
 </li>
 <li>
 Design and develop world-class technology solutions to solve business problems across multiple client engagements.
 </li>
 <li>
 Collaborate with other teams to understand business requirements, client infrastructure, platforms and overall strategy to ensure seamless transitions.
 </li>
 <li>
 Work closely with AI and A global team and with our Fortune 500 clients to build world-class solutions and to define AI strategy.
 </li>
 <li>
 You will possess strong logical structuring and problem-solving skills with expert level understanding of database and have an inherent desire to turn data into actions.
 </li>
 <li>
 Strong verbal, written and presentation skills
 </li>
 <li>
 As a Data Scientist, you will need to have strong programming skills and strong understanding of data science and Machine Learning tools.
 </li>
 <li>
 You will be working on high impact initiatives with other Data Scientists across the globe
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor's or master&rsquo;s degree/PhD in Statistics, computer science, information technology, or a similar field.
 </li>
 <li>
 Solid understanding in Statistics, e.g., hypothesis formulation, hypothesis testing, descriptive analysis and data exploration.
 </li>
 <li>
 Expert level experience in Python or R.
 </li>
 <li>
 Strong experience in machine learning algorithms like
 </li>
 </ul>
 
 o Linear/Logistic regression,
 
 
 o Random Forest,
 
 
 o SVM,
 
 
 o Neural Networks,
 
 
 o Deep Learning &ndash; CNN, RNN, LSTM
 
 <ul>
 <li>
 Exposure to NLP and Computer vision use cases.
 </li>
 <li>
 In-depth knowledge of neural networks and architectures
 </li>
 <li>
 Familiarity with the latest DL architectures.
 </li>
 <li>
 Toolkits/Frameworks/Libraries - Pytorch, TF/Keras, Scikit-Learn, BERT
 </li>
 <li>
 Experience in Machine Learning Lifecycle &ndash; Data Processing, Algorithm Benchmarking, Validation
 </li>
 <li>
 Exposure to build an AI model from scratch
 </li>
 <li>
 Exposure to Graph based databases is a plus.
 </li>
 <li>
 Experience with relational databases.
 </li>
 </ul>
</div>

Data Science Consultant

Syngenta

<div>
 
 Company Description
 
 
 
 We are a leading, science-based agriculture company, empowering farmers to meet the demands of modern agriculture. Using cutting-edge innovation, we help farmers to grow resilient, healthy crops that can feed a growing global population, while promoting sustainable farming practices that protect and enhance our planet. Headquartered in Switzerland, we are a global agritech leader with more than 30,000 employees across over 90 countries.
 
 
 https://www.syngenta.com/company
 
 
 
 Job Description
 
 
 
 
 Purpose
 
 
 
 To establish and sustain a leading position in Product Chemistry within the AMEA region. Empower the global CP regulatory organization by providing comprehensive and up-to-date Regulatory Product Chemistry documentation, facilitating the acquisition and maintenance of registrations in AMEA in alignment with business objectives. Contribute to the continuous improvement and operational excellence of the CP Product Chemistry Team.
 
 
 
 Accountabilities
 
 
 
 <ul>
 <li>
 Manage the technical aspect (regulatory chemistry) of a portfolio of active ingredients and their corresponding marketed products for AMEA, including life cycle management responsibilities. This will be in full alignment with globally defined ways of working, and with a dotted reporting line to the Global Product Chemistry Team Manager.
 </li>
 <li>
 Collaborate with Global Product Chemistry Managers and Global/Local Regulatory Managers to develop regulatory chemistry strategies that are in alignment with AMEA and country-specific regulatory requirements, guidelines, and company policies.
 </li>
 <li>
 Provide technical expertise in regulatory chemistry to all relevant stakeholders, including internal teams (such as product safety, production &amp; supply), external partners, and regulatory authorities. This involves interpreting complex regulatory requirements, providing strategic advice on issues, and ensuring that all product chemistry documentation meets the highest standards of accuracy and completeness. Additionally, act as a key resource for troubleshooting and resolving technical challenges related to product chemistry and regulatory processes in AMEA.
 </li>
 <li>
 Prepare, outsource, and submit comprehensive technical documentation and pertinent sections of registration dossiers to support registration processes in AMEA. Ensure that all documentation is accurate, complete, and submitted in a timely manner to meet regulatory requirements.
 </li>
 <li>
 Effectively advocate for the company's positions on pertinent issues. This involves presenting robust scientific evidence to support the company's stance.
 
 
 </li>
 </ul>
 
 Complexity
 
 
 
 <ul>
 <li>
 Establish and maintain trust and confidence with Product Registration partners across the AMEA region and individual countries.
 </li>
 <li>
 Demonstrate perceptiveness and proactivity in identifying potential issues and possess the ability to structure and simplify complex data and information from a Product Chemistry perspective.
 </li>
 <li>
 Efficiently manage and interpret large volumes of complex data, ensuring clarity and accuracy in all regulatory documentation and communications.
 </li>
 <li>
 Handle complex regulatory issues and make decisions that support AMEA business goals.
 </li>
 <li>
 Coordinate with internal and external stakeholders to balance priorities and integrate regulatory strategies seamlessly.
 
 
 </li>
 </ul>
 
 Geographic Scope:
 
 AMEA
 
 
 
 Qualifications
 
 
 
 
 Experience required for the job
 
 
 
 <ul>
 <li>
 More than 2 years of working experience in Product Registration or relevant product development or Regulatory chemistry areas
 </li>
 <li>
 Ability to work within and contribute to cross-functional teams
 </li>
 <li>
 Clear evidence of results orientation, project coordination / management and communication skills
 
 
 </li>
 </ul>
 
 Minimum Education And Critical Knowledge Required For The Job
 
 
 
 <ul>
 <li>
 Degree in chemistry or an equivalent technical qualification, preferably at the postgraduate level.
 </li>
 <li>
 Ability to critically analyze data, think laterally, and write creatively to present convincing scientific arguments supporting registrations.
 </li>
 <li>
 Sound knowledge and experience of CP Regulatory requirements and/or regulatory science issues, with a broader understanding of AMEA processes.
 </li>
 <li>
 Fluent in English, with proficiency in additional languages preferred.
 </li>
 <li>
 Comfortable working remotely and effectively connecting with Global and AMEA teams.
 </li>
 <li>
 Experience that allows the individual to work independently with some supervision and mentoring, regularly consulting superiors on key decisions and policy issues.
 </li>
 <li>
 Well-developed communication and presentation skills.
 </li>
 <li>
 Excellent teamwork, project management, and interpersonal skills, with the ability to complete and deliver projects on time and with high quality.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status
 
 
 https://www.linkedin.com/company/syngentagroup/posts/?feedView=all
</div>

AMEA Product Chemistry Manager

Quess Corp Limited

<div>
 
 Data Scientist: 4-6Years
 
 
 Analyze complex datasets to uncover patterns, trends, and insights that drive strategic business decisions.
 
 
 Develop predictive models, machine learning algorithms, and statistical analyses to solve business problems and improve campaign or operational performance.
 
 
 Collaborate with business and technical teams to define data science use cases and translate business requirements into analytical solutions.
 
 
 Communicate findings and recommendations through visualizations, presentations, and reports tailored to both technical and non-technical audiences.
 
 
 Work with large volumes of structured and unstructured data using tools such as Python, SAS, SQL, and big data platforms.
 
</div>

EPAM Systems

<div>
 
 We are looking for a
 
 Lead Data Scientist
 
 to join our collaborative team. You will play a key role in developing and implementing AI solutions across various applications, from statistical analysis to natural language processing. If you are passionate about leveraging data to create impactful solutions, we encourage you to apply.
 
 
 &nbsp;
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Develop and implement AI solutions including classification, clustering, and anomaly detection
 </li>
 <li>
 Conduct statistical data analysis and apply machine learning techniques
 </li>
 <li>
 Manage complete project delivery from data preparation to model evaluation
 </li>
 <li>
 Utilize Python programming and SQL for data manipulation and analysis
 </li>
 <li>
 Engage in ML Ops and model development workflows
 </li>
 <li>
 Create models that are accessible for business use
 </li>
 <li>
 Collaborate with teams using software development methodologies and version control
 </li>
 <li>
 Document processes and maintain project tracking tools such as Jira
 </li>
 <li>
 Stay updated with new technologies and apply problem-solving skills effectively
 </li>
 <li>
 Deliver production-ready solutions and facilitate knowledge sharing
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Requirements
 
 
 <ul>
 <li>
 9+ years&nbsp;of experience in software engineering, specializing in Data Science
 </li>
 <li>
 At least 1 year of relevant leadership experience
 </li>
 <li>
 Proficiency in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations
 </li>
 <li>
 Experience in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP
 </li>
 <li>
 Expertise in complete project delivery, from data preparation to model building, evaluation, and visualization
 </li>
 <li>
 Proficiency in Python programming and SQL, with experience in production-level code and data analysis libraries
 </li>
 <li>
 Familiarity with ML Ops, model development workflows, and feature engineering techniques
 </li>
 <li>
 Capability in manipulating data and developing models accessible for business use, with experience in Azure AI Search
 </li>
 <li>
 Competence in software development methodologies, code versioning (e.g., GitLab), and project tracking tools (e.g., Jira)
 </li>
 <li>
 Enthusiasm for learning new technologies, with expertise in problem-solving and delivering production-ready solutions
 </li>
 <li>
 Fluency in UNIX command line
 </li>
 <li>
 Familiarity with Agile development practices
 </li>
 <li>
 Excellent communication skills in English, with a minimum proficiency level of B2+
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Knowledge of Cloud Computing
 </li>
 <li>
 Experience with Big Data tools
 </li>
 <li>
 Familiarity with visualization tools
 </li>
 <li>
 Proficiency in containerization tools
 </li>
 </ul>
</div>

Lead Data Scientist

Fiserv

<div>
 
 
 
 Network Operations Center Manager
 
 
 
 
 
 
 
 
 
 Exp. Range: 12-16 Years
 
 
 
 
 
 
 Location: Pune
 
 
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 
 
 What does a successful Network Operations Center Manager do at Fiserv?
 
 
 
 As a Network Operations Center (NOC) Manager at Fiserv, you will lead a high-performing team of network engineers responsible for the real-time monitoring, incident response, and operational support of Fiserv&rsquo;s hybrid network infrastructure. This includes LAN/WAN, SD-WAN, firewalls, load balancers, and cloud-integrated systems supporting both internal users and external clients. You will be accountable for ensuring service uptime, managing escalations, driving automation, and continuously improving operational processes. This role supports our mission by maintaining robust network operations, ensuring seamless connectivity, and enhancing overall service reliability.
 
 
 
 
 
 
 What you will do:
 
 
 <ul>
 <li>
 
 Provide technical guidance
 
 for complex networking issues, including routing, switching, SD-WAN, firewalls, and load balancers.
 </li>
 <li>
 
 Monitor network infrastructure
 
 in real-time, detect and resolve incidents promptly, and lead incident response efforts.
 </li>
 <li>
 
 Lead, mentor, and develop a team
 
 of NOC engineers to ensure continuous coverage and operational excellence.
 </li>
 <li>
 
 Coordinate with vendors and stakeholders
 
 to manage SLAs, ticket progress, and communicate during major incidents.
 </li>
 <li>
 
 Drive automation and process improvement
 
 initiatives to reduce manual effort and enhance operational maturity.
 </li>
 </ul>
 
 
 
 
 
 What you will need to have:
 
 
 <ul>
 <li>
 10+ years of experience in network operations, with at least 4 years in a leadership or managerial capacity.
 </li>
 <li>
 Strong understanding of networking protocols: BGP, EIGRP, MPLS, TCP/IP, HTTP, FTP, Spanning Tree.
 </li>
 <li>
 Hands-on experience with Cisco routers/switches, SD-WAN platforms, and enterprise-grade firewalls.
 </li>
 <li>
 Proficiency in load balancing concepts and technologies (F5, Citrix).
 </li>
 <li>
 Experience with network monitoring tools (e.g., SolarWinds, Nagios, Splunk, or equivalent).
 </li>
 <li>
 Scripting skills in Python; familiarity with automation frameworks and AI/ML tools for network operations.
 </li>
 <li>
 Excellent communication, analytical thinking, and decision-making skills.
 </li>
 <li>
 Ability to lead under pressure and manage multiple priorities in a fast-paced environment.
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, Information Technology, or a related field, and/or equivalent military experience.
 </li>
 </ul>
 
 
 
 
 
 What would be great to have:
 
 
 <ul>
 <li>
 Willingness and capability to quickly learn new technologies required for accomplishing operational goals.
 </li>
 <li>
 Extensive troubleshooting and analytical thinking skills.
 </li>
 <li>
 Capable of exercising discretion and independent judgment.
 </li>
 <li>
 Experience in using Gen AI for network infrastructure automation.
 </li>
 </ul>
 
 
</div>

Network Operations Center Manager

Explore 77+ Data science manager in Pune this September. Find roles across top companies and apply now to boost your career.

77 data science manager jobs IN Pune

Data Science Manager

Data Scientist

Data Science Consultant

AMEA Product Chemistry Manager

Data Scientist

Lead Data Scientist

Network Operations Center Manager