15 Statistical Analyses Jobs

JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you ? Disruptive projects : Work on ‘ breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploy ing solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure : Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development : Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics!

JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation

Must Have Experience in Python+SQL+Statistical analysis good to have Tableau & Power BI 3-4 Days Work from Office (Hybrid) NP Max 30days Whatsapp your CV on 8287377768 (Ayush) and mention DA there. Required Candidate profile Must Have Experience in Python+SQL+Statistical analysis good to have Tableau & Power BI 3-4 Days Work from Office (Hybrid) NP Max 30days Whatsapp your CV on 8287377768 (Ayush) and mention DA there

We are seeking a Market Research Analyst with 5-7 years of professional work experience to support our data & marketing teams in gathering, analyzing & visualizing business data. Required Candidate profile Strong proficiency in Adv. Excel, SQL, Python (BeautifulSoup/Selenium), Tableau, Data Visualization ,Statistical Analysis, Web scraping tools (ParseHub, Octoparse), SaaS Research and Analysis

Role & responsibilities Collect, clean, and validate data from multiple sources to ensure quality and accuracy. Design and implement statistical models and methodologies to solve real-world problems. Analyze trends, patterns, and relationships in complex data sets. Develop and apply predictive and inferential models. Communicate findings through reports, visualizations, and presentations. Collaborate with cross-functional teams, including data scientists, researchers, business analysts, and management. Stay current with developments in statistical methodologies, software tools, and best practices. Provide guidance on experimental design and data collection strategies. Ensure compliance with data governance, privacy laws, and industry regulations. Preferred candidate profile Masters degree in Statistics, Mathematics, Data Science, or a related field (PhD preferred for advanced research roles). Proven experience in statistical analysis, modeling, and experimental design. Proficiency in statistical software such as R, SAS, Python, or SPSS. Strong knowledge of probability theory, hypothesis testing, regression, and multivariate analysis. Experience with data visualization tools (e.g., Tableau, Power BI, ggplot2, matplotlib). Excellent problem-solving, communication, and organizational skills. Ability to translate complex statistical concepts into actionable business insights.

Role & responsibilities Collect, clean, and validate data from multiple sources to ensure quality and accuracy. Design and implement statistical models and methodologies to solve real-world problems. Analyze trends, patterns, and relationships in complex data sets. Develop and apply predictive and inferential models. Communicate findings through reports, visualizations, and presentations. Collaborate with cross-functional teams, including data scientists, researchers, business analysts, and management. Stay current with developments in statistical methodologies, software tools, and best practices. Provide guidance on experimental design and data collection strategies. Ensure compliance with data governance, privacy laws, and industry regulations. Preferred candidate profile Masters degree in Statistics, Mathematics, Data Science, or a related field (PhD preferred for advanced research roles). Proven experience in statistical analysis, modeling, and experimental design. Proficiency in statistical software such as R, SAS, Python, or SPSS. Strong knowledge of probability theory, hypothesis testing, regression, and multivariate analysis. Experience with data visualization tools (e.g., Tableau, Power BI, ggplot2, matplotlib). Excellent problem-solving, communication, and organizational skills. Ability to translate complex statistical concepts into actionable business insights.

MVH requires Bio-Statistician for research dept.To do power calculation data cleaning quality check Data analysis, SPSS tabulate and present data Qual MSc Statistics or Bio-Statistics Time 10am-4pm 3to 4 visits in a month. Candt can call 6381040749

Overview of the role As a member of the Enterprise Insights team at Target in India, you will expand efforts to help shape the ideal guest (consumer) experience and drive business and communication strategies and activations. This role supports the Category Insights team, which focuses on understanding consumer behaviors, attitudes, needs, and motivations across Target s core businesses. You will play a key role in bridging the gap between business and guests through research by collaborating with multiple stakeholders including merchandisers, marketers, category managers, and creative teams. You will be responsible for designing and executing guest or consumer research to support key initiatives. You will be the primary contact for internal partners and will identify the appropriate research method, data source and vendor/supplier to execute work. Target leverages both qualitative and quantitative techniques and various secondary and proprietary sources of data to conduct research studies. As an advocate for the guest, you ll be expected to frame findings into compelling insights and stories to establish guest understanding and empathy on the team and drive effective changes. Your work will have to include actionable recommendations for teams to then run with and achieve desired business goals for the organization. As a Sr. Marketing Researcher of Category Insights, you will report to the Sr. Manager, Insights and have responsibility for a Merchandise Pyramid. Responsibilities Identify best method or mix of methods for the research plan, timeline and resourcing. Work closely with cross-functional teams to identify and develop research plan based on analysis of knowledge gaps, project goals and risks. Conduct consumer research and report findings. Perform thorough qualitative/quantitative analysis to create meaningful insights and actionable recommendations. Work on an iterative approach through close alignment with business teams to influence impact of the project. Skills: Ability to operate using a range of quantitative survey methods and techniques, qualitative methods/techniques, ethnographic and anthropological research, statistical testing within quantitative methods, sampling, and data analysis and synthesis across methods Solve business problems with a consumer- centered approach. Strong grasp of quantitative data analysis and statistics from a business perspective, including generating and distilling reports from syndicated and secondary sources Conducting field research (both quantitative and qualitative), including preparing survey design/ discussion guides etc. Strong collaboration to effectively influence a diverse set of stakeholders. Communicate complex concepts clearly and persuasively across different audiences and varying levels of the organization. Manage ambiguity, work autonomously, meet deadlines and multi-task in an agile environment. Preferred Background Four-year degree or equivalent experience Retail/E-Commerce Experience Minimum of 5 years of Consumer Insights experience Significant experience with different methods of quantitative, qualitative, syndicated and first-party insight tools Experience analyzing syndicated and secondary data sources, as well as macro trend analysis

1. Follow-up with collaborating institutes (pre-clinical & clinical studies) for study/studies. Follow-up, primary data competition & preliminary statistical analysis. 2. Finalisation and data check of the studies completed, statistical analysis and follow-up with pharmacologist for final data analysis and report writing. 3. Preparation of study product introduction (disease burden & actions) for incorporating in the final study report and discussion section. 4. Follow-up for publication and initiating the publication for completed studies. 5. Identifying new institutes across India for standardization, pre-clinical [esp. understanding mode of action] & clinical studies [mainly Ayurved institutes]. 6. Preparation & documents / docket for new-clinical studies [GCP of investigators to CTRI registration. 7. Product support/Short communications for old / new studies for marketing department. 8. Preparation of study data PPT for field and Doctors. 9. Updation of Project files [Institutes-MOU-Budget-Protocol, etc. Excel sheet, Final Report Publication and Release of funds]. 10. Basic training of current field staff / new recruits. 11. Presenting our study data in conferences and seminars.

- The Head of Corporate Strategy plays a leadership role in the business, leading the strategy management team in the development of long-range of strategic plans and objectives through the identification of strategic issues and opportunities that could influence business growth and profitability. - The duties of the Head of Corporate Strategy are inclusive of competitor benchmarking, marketing program effectives, industry intelligence, consumer knowledge, and development of strategic initiatives. The Head of Corporate Strategy leads the department in launching high priority strategic initiatives, working directly with the business's leadership, executives, and stakeholders. - The Head of Corporate Strategy leads this business leadership in conjunction with the Director Corporate Strategy and realizes growth strategies that support continued improvement of the business's overall performance. Objectives and Responsibilities of the Head of Corporate Strategy: - Leadership/Supervisory Role: The role of the Head of Corporate Strategy is primarily a leadership role, where he is tasked with overseeing the activities of junior strategy management teams in the effective management of projects across the business. In his leadership position, he is responsible for creating the departmental vision, culture, and performance standards as well as overseeing its adoption in all levels of the department. - He is also highly involved in the recruitment of strategy management personnel in an effort to guarantee optimal execution of duties within the department at all times. It is also the Head of Corporate Strategy's duty to lead the junior strategy management teams in the strategic development of - The Head of Corporate Strategy plays a mentorship role to key personnel in the strategy management department, where he aids in the execution of duties upon request, and ensures the constant improvement in the skills of these key personnel, readying them for the occupation of his position in the future. - Strategy Definition: The Head of Corporate Strategy is responsible for the definition of structure and execution of strategic initiatives through the development of work plans, gathering and generation of relevant data, driving analyses, and the development of actionable recommendations. - He identifies and develops strategic opportunities for the business with a view of diversifying the consumer base and gaining an additional share of the market. The Head of Corporate Strategy also reviews feasibility of new markets as well as their potential growth opportunities. - In this capacity, the Head of Corporate Strategy provides short and long-term strategic recommendations to the business's executives that are meant to develop and capitalize business opportunities. - Strategic Planning: The Head of Corporate Strategy additionally comes up with strategies that inform the marketing, financial and channel planning for the business as well as target setting for weekly/quarterly/annual business plans. The Head of Corporate Strategy evaluates and recommends business portfolio frameworks, strategies, financial concepts, practices, programs, processes, and measures to be applied across the business. - Strategic Performance Management: The Head of Corporate Strategy also engages and supports the business in numerous fronts in defining and refining business strategies with a specific focus on designing and implementing new strategic approaches, ideas, and processes that will grow the business and avail measurable results. - In this capacity, the Head of Corporate Strategy will put in place performance measures that will determine the effectiveness of implemented strategies and identify areas for strategic improvement. - Strategic Risk Management: It is the duty of the Head of Corporate Strategy to work with the business's executives and stakeholders in order to evaluate overall performance against targets and make necessary adjustments as is necessary. The Head of Corporate Strategy establishes KPIs that the business will measure performances against and determine the effectiveness of the implemented strategies. - He further drives awareness and insightful analyses of the market and transaction trends as well as identifies and explores any adjacencies to the business in order to ascertain risks and opportunities. - Analytical Skills: The Head of Corporate Strategy plays an analytical role where he defines potential business models in order to realize profitability opportunities and also to avail insightful qualitative analyses. It is also his duty to develop and implement strategic and analytical tools and processes. - The Head of Corporate Strategy builds analytical models and performs regular financial, competitive, performance, and market analyses for the business in order to comprehensively value business opportunities and ensure well-founded strategies are presented to the relevant leadership. The Head of Corporate Strategy will also need to draft regular analysis reports for senior strategy management, business leadership and executives, and relevant stakeholders for purposes of further decision making. - Collaboration: The Head of Corporate Strategy is also a highly collaborative role and in this capacity he establishes collaborative and trusting relationships with the business's key internal leaders and stakeholders in order to ensure that there is a free flow of ideas and information across the business, leading to suitable strategy formulation and overall business performance enhancement. - The Head of Corporate Strategy will collaborate across the organization with top leadership, aiding in individualized strategy formulation for different projects and initiatives. - Other Duties: The Head of Corporate Strategy also performs similar duties as he deems fit for the proper execution of his duties and duties as delegated by the Director Corporate Strategy, the Chief Business Development Officer, or the Employer. Required Qualifications of the Head of Corporate Strategy: Education: The Head of Corporate Strategy has to have a master's degree (Phd preferred) in Business Administration, Industrial Management, Finance, Economics, or any other related business field. An equivalent of the same in working experience is also acceptable. Experience: The candidate for this position must have experience in a strategy management position, preferably working as a senior strategy manager in a fast paced and dynamic business environment. The candidate will also have had previous experience overseeing activities of a strategy management team. - He will also demonstrate the ability obtain and filter information, identify key issues relevant to the achievement of long-term strategic goals, and commit to the realized course of action for the purpose of accomplishing those goals. A candidate for this position will additionally have a proven ability to generate new outlooks of the business on the market, for example, through trend forecasting, experiential marketing, and innovation. - The candidate will also possess vast knowledge of the business's risk parameters in order to determine implications for the business and implement measures for risk mitigation. He will further have had experience in strategic planning and analysis, marketing/market research, competitive intelligence, and corporate business development. - A suitable candidate will additionally have an overall business acumen and solid financial grounding as well a proven and successful track record of developing and driving growth initiatives and identifying business opportunities in order to develop strategies that capitalize on those opportunities. - Communication Skills: As expected, communication skills are an integral requirement for the role of Head of Corporate Strategy. Good communication skills will be necessary in communicating clear information and instructions down the line to junior strategy management teams, which will greatly improve their efficiency and effectiveness. Communication skills will also be necessary for the Head of Corporate Strategy in his collaborative capacity. - Clear communication of sensitive strategic information to business-wide leadership, executives, and stakeholders will be pivotal in determining how effectively these strategies will be executed across the business. He will also be required to draw regular reports and deliver presentations to senior strategy management leadership, executives, and regular stakeholders. - Therefore, these reports must be insightful, clear, easy-to-understand, engaging, and convincing, in order to facilitate appropriate strategy decision-making across the business. - Ms Office: A candidate for this position will demonstrate proficiency in the use of Ms Word, Ms Excel, and PowerPoint, all necessary for the creation of both visually and verbally engaging analyses reports and presentations, for the business's leadership, executives, relevant stakeholders, and senior strategy management. - Analytical Skills: The Head of Corporate Strategy must also possess strong financial analysis and modeling skills in order to perform financial analyses for the purpose of assisting in the exploration of strategic options, the development of creative solutions to complex issues, and for the support of decision-making. - This is inclusive of the ability to design and perform unique analyses that require the application of single or multiple strategic and financial concepts and tools such as economic analyses, statistical analyses, risk assessment, competitive analysis, exposure analysis, and implications to business strategic position. - Interpersonal Skills: A candidate for this position will be a strategic and creative thinker, be result-driven, be self-motivated and proactive, have strong and innovative problem solving skills, be open and welcoming to change, and work comfortably in a constantly evolving environment. - He must also work comfortably in group/collaborative setting or with business executives and stakeholders, have an ability to handle multiple simultaneous projects and meet tight deadlines, and have an ability to remain calm under pressure and in the face of uncertainty. - Leadership/People Skills: The candidate must demonstrate strong leadership skills, having an ability to inspire and move a cross-functional group and business top leadership in a unified direction and with a unified vision. He will be a relatable and likable person with the ability to form strong and lasting relationships with others. - He will be a people person who inspires trust and confidence in others, prompting them to readily follow in his insights and directives.

Experience with tools like Tableau, Power BI, or libraries such as Matplotlib/Seaborn. Hands-on experience in predictive modelling, statistical analysis, and algorithm development.

Job Title: Data Scientist Reports to: Lead – Data Science About upl: UPL is focused on emerging as a premier global provider of total crop solutions designed to secure the world’s long-term food supply. Winning farmers hearts across the globe, while leading the way with innovative products and services that make agriculture sustainable , UPL is the fastest growing company in the industry. UPL has a rich history of 50+ years with presence in 120+ countries . Based on the recognition that humankind is one community, UPL’s overarching commitment is to improve areas of its presence, workplace, and customer engagement . Our purpose is ‘ OpenAg’. An Open agriculture network that feeds sustainable growth for all. No limits, no borders . In order to create sustainable food chain, UPL is now working to build a future-ready, analytics-driven organization that will be even more efficient, more innovative, and more agile. We are setting up “Digital and Analytics” CoE to work on some disruptive projects that will have an impact that matters for the planet. It will help us reimagine our business to ensure the best outcomes for growers, consumers, employees, and our planet. Work with us to get exposure to cutting-edge solutions in digital & advanced analytics, mentorship from senior leaders & domain experts, and access to a great work environment . JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you ? Disruptive projects : Work on ‘ breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploy ing solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure : Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development : Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics!

Job Title: Data Scientist About upl: UPL is focused on emerging as a premier global provider of total crop solutions designed to secure the world’s long-term food supply. Winning farmers hearts across the globe, while leading the way with innovative products and services that make agriculture sustainable , UPL is the fastest growing company in the industry. UPL has a rich history of 50+ years with presence in 120+ countries . Based on the recognition that humankind is one community, UPL’s overarching commitment is to improve areas of its presence, workplace, and customer engagement . Our purpose is ‘ OpenAg’. An Open agriculture network that feeds sustainable growth for all. No limits, no borders . In order to create sustainable food chain, UPL is now working to build a future-ready, analytics-driven organization that will be even more efficient, more innovative, and more agile. We are setting up “Digital and Analytics” CoE to work on some disruptive projects that will have an impact that matters for the planet. It will help us reimagine our business to ensure the best outcomes for growers, consumers, employees, and our planet. Work with us to get exposure to cutting-edge solutions in digital & advanced analytics, mentorship from senior leaders & domain experts, and access to a great work environment . JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you ? Disruptive projects : Work on ‘ breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploy ing solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure : Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development : Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics!

Role: Data scientist Location: Bangalore *************************************************** IMMEDIATE JOINERS REQUIRED Send your updated CV directly to: 9152808909 **************************************************** Role and Responsibilities We are seeking a data scientist to join our Data Analytics team to help us make better business decisions based on our data. The ideal candidate will have a working knowledge of statistics, AL / ML algorithms, mathematics, and data science programming languages (e.g., SQL, R, and Python). Your primary responsibilities will be performing statistical analyses, exploratory data analysis, data research, study the data thoroughly, running custom SQL queries, and identifying patterns and trends that can improve our products and services efficiency and usability. Should be able to work as an individual contributor and provide robust insights, analysis and analytical reporting to interpret results and inform key business areas on trends and business insights. Maintain good relationship with stakeholders. Should be proactive to learn new skills per business requirement. Familiar with extraction of relevant data, cleanse and transform data into insights that drive business value, through use of data analytics, data visualization and data modeling techniques. Qualifications and Education Requirements Technical Bachelors Degree. Preferably in statistics, computer science, mathematics, or engineering. Preferred Skills Should have EXCELLENT knowledge on: Statistical analysis : Descriptive and Inferential Statistics: Hypothesis testing, AB testing, Time series analysis. Machine Learning and Deep Learning: Theoretical and hands on experience in building ML and/or DL models to solve one or more of the following problems: Regression, Classification, Clustering, Recommender Systems on one or more data formats tabular, image, natural language, audio etc. Optimize training and inference workflows enhancing model, performance, efficiency and speed. Proficiency in MLOps practices, including model deployment, monitoring, Implementing and maintaining CI/CD pipelines for ML models, ensuring smooth integration with engineering workflows. Programming : Strong Object-Oriented Python programming. Write, optimize, and manage complex SQL queries to extract, transform, and load data from various relational databases. Extensive experience with DS libraries like: numpy, pandas, scikit-learn, matplotlib, tensorflow/Pytorch. Cloud & Data Platforms Proficiency in building data science solutions leveraging cloud platforms (AWS, GCP, Azure) and associated services, including Sagemaker, Vertex AI, Azure Machine Learning, Databricks, and cloud storage solutions like S3, BigQuery, and Azure Blob Storage. Collaborative Problem Solving: Partner with cross-functional teams to identify business challenges and define data-driven solutions. Data storytelling : Communicate actionable insights using data, often for a non-technical audience. Analytical Thinking, Critical Thinking, and Business Acumen. Perform data mining, exploration, and analysis. Ability to store and process unstructured data with NoSQL databases and machine learning models Advanced knowledge of SQL and Excel. Strong Data Visualization skills preferably MS PowerBI. Keeping up to date with the latest tools and trends. Excellent verbal and written Communication skills Work Experience 5+ years of relevant experience in data science. It is good to have domain knowledge in the Insurance industry. Additional Notes Should be ready to work in shifts.

We are a pioneering company dedicated to Revolutionizing autism with AI-driven solutions. Required Candidate profile Role: Analyze autism treatment data for insights. Develop predictive models to improve outcomes. Use ML to generate recommendations. Communicate findings to stakeholders.