assistant manager - big data Jobs in Mumbai

assistant manager - big data

data analyst

data scientist - agm/ dgm/ gm Jobs in Mumbai

data scientist - agm/ dgm/ gm

data scientist - ai

data scientist - llm

data scientist agm dgm gm

UltraTech Cement

<div>
 
 
 Key Result Areas:
 
 
 <ul>
 <li>
 Continuously assess and provide inputs to refine data science practices and strategies to ensure alignment with evolving business needs (New Fuels, Raw material, Equipment design or technology, or Product innovation) and Industry 4.0 technological advancements.
 </li>
 <li>
 Facilitate the redesign of business processes through digital solutions such as Generative AI and Knowledge graph, adopting a design thinking approach for ideation and employing Agile methodology for efficient execution.
 </li>
 <li>
 Utilize tools and methodologies eg: Python, PowerBI, Orange, GPTs for analyzing trends &amp; patterns within big data sets to inform business decisions across functions &amp; at all levels. Clean, preprocess, &amp; transform the data to ensure it's of high quality, with missing values handled &amp; outliers addressed.
 </li>
 <li>
 Employ advanced analytics techniques for predictive modeling &amp; machine learning algorithms like Neural Networks, XGBoost, Autoencoders etc to improve process and equipment reliability &amp; resilience to ever-increasing external sources of variability.
 </li>
 <li>
 Test, iterate, and deploy above tools as part of Pilot programs, inline with digital strategy roadmap.
 </li>
 <li>
 Conduct hands-on testing and validation of AI/ML models to gauge their effectiveness and refine their performance continually.
 </li>
 <li>
 Work closely with different business units to understand their needs and integrate data science solutions into their digital strategy.
 </li>
 <li>
 Implement continuous monitoring processes for AI models to ensure performance accuracy, detect drift, and make timely adjustments.
 </li>
 <li>
 Ensure seamless handover of solutions to Digital Execution team for scale up, and continuously monitor for improvement areas. Document the entire project, including data sources, methodologies, model architecture, and any decisions made throughout the process.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 B.E/B.tech/ PG in data science
 
 
 
 Location:
 
 Worli, Mumbai
 
 
 
</div>

Data Scientist - AGM/ DGM/ GM

Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 Min Experience: 3 years
 
 
 Location: Navi Mumbai
 
 
 JobType : full-time
 
 
 We are seeking a highly skilled
 
 Data Scientist - AI
 
 to design and deploy advanced deep learning systems that uncover actionable insights from diverse data sources, including text, imagery, and time-series datasets. You'll work at the intersection of research and production&mdash;building scalable AI pipelines, fine-tuning transformer models, and collaborating closely with quantitative researchers to turn machine learning outputs into meaningful business signals.
 
 
 
 Requirements
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Research, design, and train deep learning models (LLMs, CNNs) to extract and identify pricing or predictive signals from multiple data types.
 </li>
 <li>
 Build and maintain end-to-end AI orchestration pipelines for data ingestion, feature extraction, model training, and real-time inference.
 </li>
 <li>
 Develop scalable MLOps workflows using AWS, Docker, CI/CD, and orchestration tools for automated model deployment, monitoring, and version control.
 </li>
 <li>
 Fine-tune Hugging Face transformer models and integrate them into production-ready AI systems.
 </li>
 <li>
 Architect and manage data processing layers in Python and MongoDB to enable reproducible, high-performance experimentation.
 </li>
 <li>
 Collaborate with quantitative researchers to translate ML model outputs into actionable insights or trading signals.
 </li>
 <li>
 Implement evaluation frameworks to continuously monitor model performance, drift, and reliability.
 </li>
 <li>
 Drive innovation by experimenting with multimodal, self-supervised, and reinforcement learning techniques to enhance predictive capabilities.
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 <ul>
 <li>
 3-6 years of experience in data science, applied AI, or ML research (exceptional candidates with less experience are encouraged to apply).
 </li>
 <li>
 Strong proficiency in Python, with expertise in PyTorch or TensorFlow.
 </li>
 <li>
 Hands-on experience with transformer and CNN architectures.
 </li>
 <li>
 Familiarity with Hugging Face, AWS SageMaker, or similar ML orchestration platforms.
 </li>
 <li>
 Proven experience in MLOps &mdash; building, deploying, and maintaining production-grade ML pipelines.
 </li>
 <li>
 Working knowledge of data engineering tools (e.g., MongoDB, Pandas, NumPy, Airflow, Prefect).
 </li>
 <li>
 Solid mathematical foundation in probability, statistics, and optimization.
 </li>
 <li>
 Excellent software engineering practices &mdash; clean, modular code with Git-based version control and CI/CD.
 </li>
 <li>
 A strong sense of curiosity, experimentation, and drive to apply AI solutions to real-world problems.
 </li>
 <li>
 Must be based in or open to relocating to Navi Mumbai.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 Data Science | Deep Learning | Machine Learning | PyTorch | TensorFlow | Hugging Face | AWS | MLOps | NLP | Computer Vision | Model Deployment | Data Engineering
</div>

Data Scientist - AI

MavenMagnet AI

<div>
 
 MavenMagnet is an AI-based data analytics company transforming insights generation by delivering in-depth analysis and discovery with significant time and cost efficiency as compared to traditional alternatives.
 
 
 
 
 
 We use thousands of digitally-sourced data points - news, blogs, forums, communities, chat rooms, product reviews, social networks, POS, product sales &amp; support, and proprietary client datasets - to provide our clients a seamless strategic perspective by delivering qualitative insights on a quantitative scale, while eliminating respondent bias and research fatigue.
 
 
 
 
 
 A rich combination of AI and machine learning technology and strategic human expertise helps us deliver actionable insights in near real-time.
 
 
 
 
 
 We are looking for a creative Data Scientist to join our team! An extremely important role for our success.
 
 
 
 
 
 As a member of the development team, your responsibilities will include transfer learning and training LLMs. Ideal candidates will have a strong data science background and can help us build/fine-tune in-house LLMs.
 
 
 
 
 
 You'll have the opportunity to work with large-scale data sets and turn your insights into real products. You'll be an integral part in how we understand user behavior, identify and recommend product opportunities, which are all critical to how we can scale our ever-growing user base.&nbsp;
 
 
 
 
 
 Responsibilities:
 
 <ul>
 <li>
 Modifies and analyzes complex data sets using analytics techniques such as machine learning, statistical analysis, Natural Language Processing, identifing modeling attributes and parameters. Applies algorithms to create descriptive, predictive or prescriptive models to achieve analysis and project deliverables.
 </li>
 <li>
 Investigates data characteristics, complexity, quality, and meaning. Through visualizations and summarizations, defines performance, identifies trends, outliers, and drivers.
 </li>
 <li>
 Prepares data for analysis, e.g. cleansing, conditioning, transforming, handling missing fields, identifying new feature variables and handling multi-variate data.
 </li>
 <li>
 Fine-tune LLM for NLP, multi-labeling, image detection, emotion detection, etc.
 </li>
 </ul>
 
 
 
 
 Required Skills:
 
 <ul>
 <li>
 1-3 years of industry experience in data science developing ML Models for
 
 NLP
 
 .
 </li>
 <li>
 1-2 years of experience in fine-tuning and training
 
 LLM
 
 .
 </li>
 <li>
 Experience of building NLP Models for Topic Modeling, Multi-labeling data science solutions.
 </li>
 <li>
 Experience in relevant programming languages (e.g. Python)
 </li>
 <li>
 Experience within the Python Data Science ecosystem - NumPy, SciPy, Jupyter, etc.
 </li>
 <li>
 Experience in AWS cloud. Developing and deploying applications in the cloud.
 </li>
 <li>
 MS in Data Science
 </li>
 <li>
 Past experience with startups and a fast-paced environment is an added advantage.
 </li>
 </ul>
 
 
 
 
 Provide a link to a Github that showcases your work.
 
 
 &nbsp;
 
 
 Preferred Requirements:
 
 <ul>
 <li>
 
 MS in Data Science from IIT/NIT
 
 </li>
 <li>
 Experience building deep neural networks to production.
 </li>
 <li>
 Experience in AWS, Google cloud, Azure.
 </li>
 <li>
 Experience with large volume data processing systems.
 </li>
 <li>
 Experience with Agile software development.
 </li>
 <li>
 Good knowledge of Database technologies such as SQL, PL/SQL and relational database schema design.
 </li>
 </ul>
 
 
 
 
 Here&rsquo;s what we&rsquo;ll set you up with:
 
 <ul>
 <li>
 A team that is invested in your career growth and training
 </li>
 <li>
 Competitive salary and equity, based on experience
 </li>
 <li>
 Best-in-class health insurance, including dental and vision coverage.
 </li>
 <li>
 Work alongside world-class talent
 </li>
 <li>
 Flexible vacation / paid time off policy
 </li>
 <li>
 Personal style encouraged&nbsp;
 </li>
 </ul>
 
 &nbsp;
 
 
 We celebrate diversity and are committed to creating an inclusive environment for all employees.
 
 
 &nbsp;
 
 
 
 
</div>

Data Scientist - LLM

General Mills India

<div>
 Position Title
 
 
 Scientist II &ndash; Statistics
 
 
 Function/Group
 
 
 R&amp;D/Packaging
 
 
 Location
 
 
 Mumbai
 
 
 Shift Timing
 
 
 Regular
 
 
 Role Reports to
 
 
 Assistant Manager, Global Knowledge Solutions
 
 
 Remote/Hybrid/in-Office
 
 
 Hybrid
 
 
 
 About General Mills
 
 
 
 
 We make food the world loves: 100 brands. In 100 countries. Across six continents.
 
 With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Haagen-Dazs, we have been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.
 
 
 How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate.
 
 
 us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com
 
 
 General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people.
 
 
 With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC), Digital &amp; Technology (D&amp;T) Innovation, Technology &amp; Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy &amp; Intelligence (SSI), Global Shared Services (GSS), Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out https://www.generalmills.co.in
 
 
 We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow.
 
 
 
 Job Overview
 
 
 
 
 Function Overview
 
 
 
 In partnership with our cross-functional partners, ITQ innovates and develops products that meet the ever-changing needs of our consumers and enables long-term business growth. We identify and develop technologies that shape and protect our businesses today and into the future. ITQ operates across three organizations: Global Applications, Capabilities COEs, and Shared Services &amp; Operations
 
 
 For more details about General Mills please visit this Link
 
 
 
 Purpose of the role
 
 
 
 The Global Knowledge Services (GKS) organization catalyzes the creation, transfer, and application of knowledge to ensure ITQ succeeds at its mission of driving internal and external innovation, developing differentiated technology, and engendering trust through food safety and quality.
 
 
 The scientists in the Statistics and Analytics Program Area will collaborate with US and India GKS team members to deliver high value statistical work that advances ITQ initiatives in consumer product research, health and nutrition science, research and development, and quality improvement.
 
 
 The Scientist II in this program area is expected to: take ownership of the projects, deep expertise in statistical methodologies, data analysis, and model development. They will be responsible for providing advanced statistical consulting services, developing analytics solutions, and supporting decision-making processes across various projects.
 
 
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 70%of Time-Excellent Technical Work
 </li>
 <li>
 Independently work on projects and take ownership of the deliverables.
 </li>
 <li>
 Provide expert statistical consulting and support to internal and external clients on various projects.
 </li>
 <li>
 Design, implement, and interpret statistical analyses, including hypothesis testing, regression analysis, experimental design, and multivariate analysis.
 </li>
 <li>
 Develop and validate statistical models for predictive and prescriptive analytics.
 </li>
 <li>
 Collaborate with cross-functional teams to translate complex data into actionable insights.
 </li>
 <li>
 Advise on best practices for data collection, quality control, and management.
 </li>
 <li>
 Develop effective strategies for programming and data analysis based on client consultations and project briefs.
 </li>
 <li>
 Create high-quality programs for data preparation, data cleaning, statistical analysis, and results validation.
 </li>
 <li>
 Employ sophisticated analytics programs, machine learning and statistical methods to prepare data for use in predictive and prescriptive modeling.
 </li>
 <li>
 Effectively and efficiently use advanced statistical software (e.g., R, Python) in support of project work.
 </li>
 <li>
 Leveraging multiple data sets to discover new insights.
 </li>
 <li>
 Create accurate and clear summary tables, visualizations, reports, and models that convey the required information and insights.
 </li>
 <li>
 Prepare detailed reports, presentations, and publications to communicate findings and recommendations.
 </li>
 <li>
 Mentor and train team members on statistical techniques and software.
 
 
 </li>
 </ul>
 15% of Time-Client Consultation and Business Partnering
 
 
 <ul>
 <li>
 Work effectively with clients to identify client needs and success criteria, and translate into clear project objectives, timelines, and plans.
 </li>
 <li>
 Be responsive and timely in sharing project updates, responding to client queries, and delivering on project commitments.
 </li>
 <li>
 Clearly communicate analysis, conclusions, insights, and conclusions to clients using written reports and real-time meetings.
 
 
 </li>
 </ul>
 10% of Time-Innovation, Continuous Improvement (CI), and Personal Development
 
 
 <ul>
 <li>
 Learn and apply a CI mindset to work, seeking opportunities for improvements in efficiency and client value.
 </li>
 <li>
 Identify new resources, develop new methods, and seek external inspiration to drive innovations in our work processes.
 </li>
 <li>
 Continually build skills and knowledge in the fields of statistics, and the relevant sciences.
 
 
 </li>
 </ul>
 5% of Time-Administration
 
 
 <ul>
 <li>
 Participate in all required training (Safety, HR, Finance, CI, other) and actively GKS, and ITQ meetings, events, and activities.
 </li>
 <li>
 Complete other administrative tasks as required.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Minimum Degree Requirements: Ph.D. in Statistics from an accredited university
 </li>
 <li>
 Minimum 2 years of related experience required
 
 
 </li>
 </ul>
 
 Specific Job Experience Or Skills Needed
 
 
 
 <ul>
 <li>
 D. in Statistics or a closely related field.
 </li>
 <li>
 Extensive knowledge of statistical theories, methodologies, and software (e.g., R, Minitab, Python, SQL).
 </li>
 <li>
 Proven experience in applying statistical techniques to real-world problems across various industries.
 </li>
 <li>
 Strong problem-solving skills and the ability to work independently on complex projects.
 </li>
 <li>
 Excellent written and verbal communication skills, with the ability to present complex statistical concepts to non-technical audiences.
 </li>
 <li>
 Experience with large datasets, data mining, and machine learning is a plus.
 </li>
 <li>
 Working experience in GCP is a plus.
 </li>
 <li>
 Experience in working on a project from inception to end is desirable.
 
 
 </li>
 </ul>
 
 For Global Knowledge Solutions
 
 
 
 <ul>
 <li>
 Ability to effectively work cross-functionally with internal/global team members.
 </li>
 <li>
 High self-motivation, with the ability to work both independently and in teams.
 </li>
 <li>
 Excels at driving projects to completion, with attention to detail.
 </li>
 <li>
 Ability to exercise judgment in handling confidential and proprietary information.
 </li>
 <li>
 Ability to effectively prioritize, multi-task, and execute tasks according to a plan. Able to work on multiple priorities and projects simultaneously.
 </li>
 <li>
 Demonstrated creative problem-solving abilities, attention to detail, ability to &ldquo;think outside the box.&rdquo;
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Preferred Major Area of Study: Statistics
 </li>
 <li>
 Preferred Professional Certifications: R, Python
 </li>
 <li>
 Preferred 2 years of related experience
 
 
 </li>
 </ul>
 
 Company Overview
 
 
 
 We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best &mdash; bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what&rsquo;s next.
</div>

Scientist - II

JPMorganChase

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

Payments - Data Scientist Associate

Croda

<div>
 
 Croda is a FTSE100 organisation focused on our purpose of Smart Science to Improve Lives&trade;. With a market capitalisation of ~&pound;6 billion and nearly 6,000 employees globally, we are innovating novel and sustainable ingredients for the Textiles and Surface coatings industry through our commitment to sustainability and customer centricity.
 
 
 
 As our Industrial Specialties business looks to deliver its ambitious strategy of growth, we are looking for a Process Development Scientist to join our organisation to support the team for process development activities, technology transfer and scale-up of new products at site.
 
 
 Reporting into the Process Development Manager, you will be responsible for process development and scaling up chemistries from the Lab and from other sites of Croda.
 
 
 
 Who We&rsquo;re Looking For
 
 
 
 At Croda, we believe our people are the heart of our success. We are committed to fostering an environment where you can grow, make a meaningful impact, and thrive.
 
 
 Degree qualified in Organic Chemistry
 
 
 Strong understanding of formulations and synthesis processes.
 
 
 Proficient in process modeling, data analysis, and statistical tools.
 
 
 Hands-on experience with lab equipment, pilot plant operations, and safety systems.
 
 
 Experience with scale-up, process intensification, and/or continuous manufacturing is a plus
 
 .
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 Be part of a team that values diversity, sustainability, and continuous innovation, where your ideas and contributions matter.
 
 
 
 Design and develop robust and scalable chemical processes for new or existing products.
 
 
 Conduct laboratory experiments, interpret data, and translate results into actionable process improvements.
 
 
 Participate in the technology transfer and scale-up till plant level.
 
 
 Collaborate with cross-functional teams including R&amp;D, process engineering, manufacturing, and EHS to ensure successful process implementation.
 
 
 Support scale-up from lab to pilot and commercial production; provide technical input during plant trials.
 
 
 Identify and resolve technical challenges in manufacturing.
 
 
 Perform risk assessments and ensure compliance with safety and environmental standards.
 
 
 Develop and maintain process documentation including SOPs, batch records, and process flow diagrams.
 
 
 Monitor process performance and support continuous improvement initiatives.
 
 
 Stay current with technological advances and trends in process development and chemical engineering
 
 
 
 What We Offer
 
 
 
 Join a global organization with countless opportunities for growth and leadership.
 
 
 The successful candidate will receive a competitive salary and benefits package including:
 
 
 22 days paid holiday allowance
 
 
 Private medical insurance
 
 
 Best in class medical benefits
 
 
 Access to share plans
 
 
 Generous parental leave
 
 
 Free car parking on Croda sites
 
 
 
 Additional Information
 
 
 This is a hybrid position based at our Thane site.
 
 
 If you require any reasonable adjustments during the hiring process or experience any issues with our online application process, please email jobs@croda.com.
 
 
 
 Croda recognises employees as our strength and the diversity they bring to our workforce are directly linked to our ongoing success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including age, race, colour, religion, national origin, gender, sexual orientation, gender identity, gender expression, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
 
 
 
 Why Croda?
 
 
 
 At Croda, we believe our people are our difference. We are people-led, driven by the desire to do good and deliver value, a unifying principle shaped by all the great people that have travelled through Croda since our beginning in 1925. We pride ourselves on bringing together diverse teams and talents from across the globe and, guided by our values of Responsible, Innovative, and Together, we are passionate about building an inclusive, collaborative, and diverse organisation with innovation and customer focus underpinning all that we do.
</div>

Process Development Scientist

Circular Materials

<div>
 
 Overview
 
 
 
 Reporting to the Director of Business Intelligence &amp; Analytics, the Manager, Data Analytics &amp; Statistics sets the benchmark for analytical rigor while building lightweight-but-robust processes and standards. This people-first leader will manage a small team of Analysts focused on advanced analytics, turning complex data into trustworthy insights, forecasts, and decision tools for Finance, Operations, Programs, and Regulatory domains.
 
 
 To thrive in this role, you&rsquo;re fluent in turning data into decisions: comfortable in Python and SQL; proficient in predictive modeling, statistical inference, time-series, and optimization; and familiar with modern ML/analytics workflows. You bring sharp attention to detail, a commitment to reproducibility and experience working from curated datasets in cloud data warehouses. Equally important, you coach and unblock others, communicate trade-offs with clarity, and collaborate effectively across functions to deliver high-impact, reliable analytical products.
 
 
 
 Responsibilities
 
 
 
 Standards, methods and governance
 
 
 <ul>
 <li>
 Define best practices for experimentation, model development, validation, monitoring, and documentation.
 </li>
 <li>
 Champion reproducibility (version control, environments, data lineage) and ethical use of data.
 </li>
 <li>
 Partner with Data Engineering on data readiness, feature availability, and deployment pathways (you influence architecture without owning it).
 
 
 </li>
 </ul>
 Project Delivery
 
 
 <ul>
 <li>
 Scope and prioritize a portfolio of advanced analytics initiatives (e.g., forecasting material flows, optimizing collection logistics, program performance measurement, fraud/anomaly detection).
 </li>
 <li>
 Translate ambiguous business questions into well-framed analytical problems with clear success metrics.
 </li>
 <li>
 Guide end-to-end work: problem definition, exploratory analysis, feature design, model selection/assessment, implementation, and post-launch monitoring.
 
 
 </li>
 </ul>
 Team leadership &amp; coaching
 
 
 <ul>
 <li>
 Lead, mentor, and develop a small team of analysts; run effective 1:1s, set goals, grow skills, and foster an inclusive, feedback-rich culture.
 </li>
 <li>
 Establish code review norms, analytical playbooks, and reusable templates that raise quality and speed.
 
 
 </li>
 </ul>
 Stakeholder Engagement
 
 
 <ul>
 <li>
 Communicate findings with clarity tailoring depth for executives, program owners, and technical peers.
 </li>
 <li>
 Facilitate decisions through scenario modeling, sensitivity analysis, and trade-off discussions.
 
 
 </li>
 </ul>
 Quality, impact and enablement
 
 
 <ul>
 <li>
 Build metrics to track the business value and reliability of analytical assets.
 </li>
 <li>
 Create onboarding materials and workshops to upskill analysts and data consumers across the organization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Education
 
 
 <ul>
 <li>
 Post secondary education/Bachelor&rsquo;s degree in a relevant field such as Computer Science, Mathematics, Engineering, Economics, or Finance.
 </li>
 <li>
 An advanced degree (Masters or above) in Business, Mathematics, Analytics or Statistics is an asset.
 </li>
 <li>
 An equivalent combination of education, and experiences may be considered.
 </li>
 <li>
 AWS Certifications, Certified Data Scientist is an asset.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 6+ years of progressive analytics experience with demonstrated leadership of small teams (formal people management or strong tech-lead experience).
 </li>
 <li>
 Proven record delivering advanced analytical solutions that informed operations, policy, or strategy.
 </li>
 <li>
 Strong proficiency in Python for analytical development; SQL for data wrangling and performance-aware querying.
 </li>
 <li>
 Hands-on experience with predictive modeling, statistical inference, and optimization (e.g., regression, classification, time-series, causal methods, linear/nonlinear optimization).
 </li>
 <li>
 Familiarity with modern ML/analytics workflows: feature engineering, model validation, cross-validation, drift/monitoring, experiment design (A/B or quasi-experimental).
 </li>
 <li>
 Comfort with version control (Git), notebooks and modular code, and documenting analyses for reproducibility.
 </li>
 <li>
 Experience working with cloud data warehouses (e.g., AWS Redshift) and orchestrating analyses from curated datasets.
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 Prior working experience in the recycling industry, regulated/reporting‑heavy environments (EPR, utilities, public sector, finance) is an asset.
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 Agile and sprint development experience is an asset.
 
 
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 Knowledge/Competencies/Skills
 
 
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 Excellent communicator who can simplify complexity, align stakeholders, and influence decisions with evidence.
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 Product mindset: starts with the decision/use-case, defines success metrics, and ships incrementally to learn.
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 Meticulous attention to detail with structured critical thinking; balances statistical rigor with auditability and practical decisions.
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 Comfortable working in ambiguous, high-pressure environments, with a proven ability to multi-task, prioritize, and coordinate resources effectively.
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 Thoughtful people leader who coaches, unblocks, and elevates others; sets crisp expectations and gives timely, actionable feedback.
 
 
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 WORKING CONDITIONS
 
 
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 All CM employees work 40 hours per week, remotely from a home office environment.
 
 
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 About Circular Materials
 
 
 
 Circular Materials is a national not-for-profit producer responsibility organization (PRO) that supports producers in meeting their extended producer responsibility (EPR) obligations across Canada. Created by producers for producers, Circular Materials develops, implements, and supports effective and efficient recycling programs to advance innovation, deliver improved environmental outcomes and drive value across the recycling supply chain. Our full-service offerings include collection, management, promotion and education, and reporting.
 
 
 Together, we are advancing the circular economy where materials are collected, recycled, and can be returned to producers for use as recycled content in new products and packaging. As we develop enhanced recycling systems across Canada, we work to ensure more materials are looped into the circular economy, benefiting both people and the environment.
 
 
 Learn more at circularmaterials.ca.
 
 
 Circular Materials is an equal opportunity employer, seeking team members with a diversity of thought, skills, experiences, culture, and ethnicity to help us achieve our purpose of accelerating a circular economy for people and the planet. As a national organization operating across Canada, our goal is to build a workforce that reflects the diversity of the many provinces and territories where we do business.
 
 
 Our Inclusive Hiring Practices Aim To Foster a Culture Where All Employees Feel a Strong Sense Of Belonging. We Are Proud Of Our Recent Diversity Survey Results Which Showed That
 
 
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 51% of Circular Materials employees identify as women.
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 53% of Circular Materials employees identify as visible minorities.
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 97% of employees believe Circular Materials fosters a strong sense of belonging for employees of all backgrounds.
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 95% of employees recommend Circular Materials as an inclusive workplace.
 
 
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 We welcome applications from candidates of all backgrounds, including women, Indigenous Peoples (First Nations, Inuit, and M&eacute;tis), persons with disabilities, racialized individuals, and members of the 2SLGBTQIA+ community. As part of our commitment to reconciliation, Circular Materials is working to advance Indigenous representation and partnerships within our organization and across our programs. We acknowledge that Circular Materials operates on the traditional territories of diverse Indigenous Nations, and we recognize the importance of respecting Indigenous rights, governance, and contributions in the workplace and beyond.
 
 
 Circular Materials supports reasonable requests for accommodation in accordance with all applicable provincial accessibility standards. Requests for accommodation will be provided by Circular Materials through the recruitment and/or assessment processes, upon contacting humanresources@circularmaterials.ca. This email is only used for accommodation requests.
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Manager, Statistics and Data Analytics - Remote Canada

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