science manager

Visa

<div>Company Description 
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose &ndash; to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. 
Job Description 
The Data Science &ndash; Manager (Sr. Data Scientist) will be a member of VCA Data Science team in Asia Pacific. The position will be based in Visa&rsquo;s Bangalore office.
The individual will be accountable for supporting and driving the design, development and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in deep expertise from banking and payments with a strong background in data science to solve complex problems and unlock business value.<ul><li>
Manage and deliver analytics projects from conception to completion with actionable insights and recommendations.</li><li>
Define detailed scope and methodology, design and create solutions, and execute on the framework leveraging appropriate tools and techniques.</li><li>
Drive portfolio strategies with the use of client data and/or other sources of data e.g. Visa data, third party etc.</li><li>
Act as analytics advocate within our partners, advising teams and sharing best practices and case studies.</li><li>
Continually look at the environment to challenge various assumptions around new sources of data, tools, talent, and infrastructure.</li><li>
Actively seek out opportunities to innovate by using VisaNet, non-traditional data and new modelling techniques fit for purpose to the needs of our clients.</li><li>
Translate analytical findings into clear, actionable business insights.</li><li>
Own project outcomes by proactively identifying and mitigating risks, managing dependencies, and communicating status and timelines to meet delivery expectations.</li><li>
Work closely with cross-functional teams (consultants, data science, data engineers) to ensure successful project delivery.</li><li>
Contribute to the development of internal frameworks, templates, and accelerators for data science consulting.</li></ul>
This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. 
Qualifications<div> 
We are looking for a motivated, analytical minded individual with a track record of using data and analytics to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about banking and cards industry, should be results-driven and client-centric. 
<ul><li>7+ years&rsquo; experience plus a bachelor&rsquo;s degree in computer science, information science, mathematics, or similar/related streams. Graduate master&rsquo;s degree is a plus.</li><li>Hands-on in delivering end-to-end data science projects, developing machine learning solutions, and scaling up data solutions. Demonstrated expertise in the core machine learning workflow, including data handling (cleaning, wrangling, feature engineering) and modeling with algorithms like Regression, Decision Trees, and XGBoost.</li><li>Experience in card payments and/or retail banking domain.</li><li>Hands-on experience across the data analytics lifecycle: programming and querying (Python, SQL, Pyspark), big data platforms (Hadoop, Hive), and business intelligence/visualization (Tableau).</li><li>Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically.</li><li>Proven ability to translate complex data into compelling narratives and impactful presentations using advanced Excel and PowerPoint.</li><li>Familiar/Skilled in identifying and implementing GenAI solutions is desirable.</li><li>Self-motivated, results oriented individual with ability to handle multiple projects concurrently.</li></ul></div> 
Additional Information 
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</div>

Data Science Manager

<div>
 
 📣We are looking for a
 
 Data Science Manager
 
 to join our Product &amp; Analytics team to continuously improve operational processes, increase efficiency, and implement new opportunities that support our business goals!
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
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 Lead the management of data science projects across the business, contributing both technical expertise and business insight to planning, implementation, and performance tracking of deployed models.
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 Provide day-to-day leadership of the Data Science team, including sprint planning, retrospectives, mentoring, and promoting a culture of continuous improvement and delivery excellence.
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 Translate strategic goals into actionable data science projects and team roadmaps.
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 Oversee the design, development, and deployment of predictive models, including recommendation engines, churn prediction, demand forecasting, and pricing optimization.
 </li>
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 Promote best practices in model governance, data quality, and reproducibility.
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 Discover and prioritize new use cases where machine learning can drive measurable business impact, such as automating player segmentation or detecting promotional abuse.
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 Partner closely with Data Engineering teams to ensure scalable and reliable model deployment, aligning solutions with the company&rsquo;s data infrastructure and operational flows.
 </li>
 </ul>
 
 
 
 
 
 Who You Are
 
 
 <ul>
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 8+ years of experience in data science or analytics, with at least 3 years managing a team.
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 Proven experience in e-commerce, retail, or digital consumer businesses.
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 Strong knowledge of machine learning, experimentation design, causal inference, and predictive modeling.
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 Knowledge of Python / R and data modeling + experience in AI / ML, service connection skills with IT teams
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 Strategic thinker who can translate business goals into actionable data projects.
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 Passionate about mentoring and developing a high-performing team.
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 Experience with recommendation systems, personalization engines, or large-scale e-commerce platforms.
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 Professional competence in English language.
 </li>
 </ul>
 
 
 
 
 As n11.com, we care about your Personal Data Security. Please find the Personal Data Protection Information Notice from the link below.
 
 
 
 
 
 https://n11scdn1.akamaized.net/custom/aydinlatma-metni/People-Aydinlatma-Metni.pdf
 
</div>

Envision Employment Solutions

Envision Employment Solutions is currently hiring a Data Science Manager on behalf of one of our partners, a leader in the retail Motor Vehicles field. Job Summary As a Data Science Manager, you will manage and guide a multidisciplinary team of data scientists, BI analysts, and data engineers. Your primary responsibility will be to lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes that drive strategic business insights and decision-making. You will ensure the successful execution of data projects, maintain high data integrity, and align data initiatives with overarching business goals. You'll be a part of a diverse and dynamic team that values ownership and encourages positive disruption. Responsibilities <ul> <li>Manage, mentor, and develop a multidisciplinary team of data scientists, BI analysts, and data engineers, fostering a culture of collaboration and innovation.</li> <li>Lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes to address complex business challenges.</li> <li>Work with cross-functional teams to uncover opportunities for leveraging data to drive business strategies and solutions.</li> <li>Ensure the accuracy, reliability, and integrity of data used in analysis, modeling, and reporting.</li> <li>Communicate findings and insights to senior management and other key stakeholders in a clear and impactful manner.</li> <li>Stay abreast of the latest advancements in data science, machine learning, BI tools, and data engineering technologies.</li> <li>Oversee the deployment of machine learning models into production systems and ensure seamless integration with BI and data engineering solutions.</li> <li>Maintain comprehensive documentation of data science, BI, and data engineering processes, methodologies, and best practices.</li> <li>Monitor and optimize the performance of data systems and solutions across the organization.</li> </ul> Qualifications <ul> <li>5 to 7 years in a data-related role, with at least 2 years in a leadership or managerial position.</li> <li>Extensive experience in statistical analysis, machine learning, business intelligence, and data engineering.</li> <li>Proficiency in programming languages such as Python or R.</li> <li>Strong proficiency in BI tools such as Tableau, Power BI, or Looker.</li> <li>Advanced SQL skills, with the ability to query and manipulate complex data sets efficiently.</li> <li>Experience with data warehousing concepts and technologies (e.g., Google BigQuery, Snowflake).</li> <li>Proficient in data modeling, ETL (Extract, Transform, Load) processes, and data pipeline development.</li> <li>Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.</li> <li>Excellent communication skills, capable of presenting complex information clearly and concisely.</li> <li>Proactive, innovative mindset with keen attention to detail.</li> <li>Ability to manage multiple projects and priorities in a fast-paced environment.</li> <li>Experience with data visualization tools and techniques.</li> <li>Having an automotive background is a PLUS.</li> </ul>

Envision Employment Solutions is currently hiring a Data Science Manager on behalf of one of our partners, a leader in the retail Motor Vehicles field.
 
Job Summary: 
As a Data Science Manager, you will manage and guide a multidisciplinary team of data scientists, BI analysts, and data engineers. Your primary responsibility will be to lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes that drive strategic business insights and decision-making. You will ensure the successful execution of data projects, maintain high data integrity, and align data initiatives with overarching business goals. You'll be a part of a diverse and dynamic team that values ownership and encourages positive disruption.
 
Responsibilities: 
<ul>
<li>Manage, mentor, and develop a multidisciplinary team of data scientists, BI analysts, and data engineers, fostering a culture of collaboration and innovation.</li>
<li>Lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes to address complex business challenges.</li>
<li>Work with cross-functional teams to uncover opportunities for leveraging data to drive business strategies and solutions.</li>
<li>Ensure the accuracy, reliability, and integrity of data used in analysis, modeling, and reporting.</li>
<li>Communicate findings and insights to senior management and other key stakeholders in a clear and impactful manner.</li>
<li>Stay abreast of the latest advancements in data science, machine learning, BI tools, and data engineering technologies.</li>
<li>Oversee the deployment of machine learning models into production systems and ensure seamless integration with BI and data engineering solutions.</li>
<li>Maintain comprehensive documentation of data science, BI, and data engineering processes, methodologies, and best practices.</li>
<li>Monitor and optimize the performance of data systems and solutions across the organization.</li>
</ul>
Requirements: 
<ul>
<li>5 to 7 years in a data-related role, with at least 2 years in a leadership or managerial position.</li>
<li>Extensive experience in statistical analysis, machine learning, business intelligence, and data engineering.</li>
<li>Proficiency in programming languages such as Python or R.</li>
<li>Strong proficiency in BI tools such as Tableau, Power BI, or Looker.</li>
<li>Advanced SQL skills, with the ability to query and manipulate complex data sets efficiently.</li>
<li>Experience with data warehousing concepts and technologies (e.g., Google BigQuery, Snowflake).</li>
<li>Proficient in data modeling, ETL (Extract, Transform, Load) processes, and data pipeline development.</li>
<li>Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.</li>
<li>Excellent communication skills, capable of presenting complex information clearly and concisely.</li>
<li>Proactive, innovative mindset with keen attention to detail.</li>
<li>Ability to manage multiple projects and priorities in a fast-paced environment.</li>
<li>Experience with data visualization tools and techniques.</li>
<li>Having an automotive background is a PLUS.</li>
</ul>

Lyka

About Lyka Lyka was founded in 2018 by Anna Podolsky, inspired by her dog, Lyka, who was suffering from chronic health issues despite being on "premium" kibble. Together with Gabriel Guedes (COO) and Dr. Matthew Muir (Integrative Veterinarian), they built Lyka from the ground up with one core belief: better food can radically improve a pet's healthspan and quality of life. Lyka's meals are vet-formulated and gently cooked from real food ingredients. Delivered via a flexible subscription model, Lyka meals have driven remarkable improvements for tens of thousands of customers, supporting gut health, reducing intolerances, improving energy and mobility, and even promoting hair growth. What began as home cooked meals has since scaled into one of Australia's fastest-growing consumer companies, a vertically integrated, tech enabled brand that is transforming pet health nationwide. Lyka now operates from two offices, Sydney (HQ) and Melbourne, with three state of the art food production facilities (two in Sydney, one in Melbourne) and a growing national footprint. At Lyka, we're not just selling pet food-we're pioneering a new standard of wellness for pets. With strong product market fit, deep customer love, and a track record of rapid growth, we're now entering our most ambitious chapter yet: building a generational brand and category defining business with global impact. What you will do As our Food Science Senior Manager, you'll play a key role in shaping the future of our recipes, combining scientific rigour with innovation to create food that truly makes a difference. You'll lead new product development and continuous improvement initiatives from concept to commercialisation, bringing together your technical expertise, creativity, and leadership to elevate the quality, safety, and performance of our products. You'll lead the charge in developing and optimising both new and existing formulations, from hands on bench trials through to full scale manufacturing. You'll take a portfolio wide view of continuous improvement, spotting opportunities that lift palatability, nutritional value, and operational efficiency. A big part of your role will be bringing new product lines to life in new markets, balancing customer needs, nutrition, cost, and operational feasibility. You'll manage the full lifecycle of product development, keeping communication clear and stakeholders aligned across Marketing, Procurement, QA, and Manufacturing. You'll support the Food Technology team in evaluating new ingredients, technologies, and processes that enhance product quality, nutrition, and safety, all while staying true to the Lyka brand ethos. Working closely with Manufacturing and CAPEX teams, you'll help define new equipment specs, process standards, and SOPs that deliver consistent results. You'll deploy Food Technologist resources effectively across projects, ensuring priorities align with company goals. And as a leader, you'll coach and mentor junior scientists, building a culture of collaboration, high performance, and continuous learning. What we're looking for You'll bring a strong foundation in Food Science or Food Technology, backed by a degree in a related field and over six years of hands on product development experience. You've successfully led technical projects or teams and have a proven track record of taking evergreen products from concept to commercialisation, ideally within pet food, human food, or the meat industry. Your deep understanding of food processing, ingredient functionality, and nutritional formulation means you can solve complex challenges and make confident, data informed decisions. You're a natural leader who thrives on mentoring others and building high performing teams. You're also a strong communicator, able to translate between science, operations, and business to keep everyone aligned. Independent and proactive by nature, you're driven to find solutions, not roadblocks, and you're passionate about innovation, continuous improvement, and delivering products that truly make a difference. <ul> <li>Work in a fast growing start up, experiencing what goes behind the scenes to sustain hyper growth for a start up with a physical product!</li> <li>Growth and Development - Lyka is growing extremely quickly, which means you will have the opportunity to experience different challenges every day and progressively acquire more responsibilities as our facility and team expand. We provide an annual L&D budget for you to continue your personal development.</li> <li>Work for a sustainability focused company - we care about the health of our dogs and our planet. We're proud to be Australia's only carbon negative and plastic negative pet wellness company and we're always looking at ways for us to improve sustainability practices.</li> <li>Be part of a diverse top talent team, coming from widely different backgrounds and geographies.</li> <li>Up to 18 weeks of paid parental leave top up</li> <li>Wellbeing assistance and tools to take care of your mental and physical wellbeing so you can do your best work.</li> <li>Flexible working: work from where you get your best work done. We have pet friendly offices and industrial kitchens in Sydney and Melbourne.</li> <li>Pupper parent support to care for your furry friends - flexible arrangements for new pets, pet friendly offices, discounts, and financial allowance for dog training and care to help them live their best life!</li> </ul> We are committed to building inclusive and diverse teams Lyka is an equal opportunity employer devoted to providing a working environment that embraces and values diversity and inclusion. We celebrate diversity, are devoted to creating an inclusive environment for all staff and encourage people of all backgrounds to apply. If you have any support or access requirements, we encourage you to advise us at the time of application.

Food Science Manager

Lyka Pet Food

<div>
 
 
 Line of Service
 
 
 Advisory
 
 
 
 
 Industry/Sector
 
 
 Technology
 
 
 
 
 Specialism
 
 
 Advisory - Other
 
 
 
 
 Management Level
 
 
 Manager
 
 
 
 
 Job Description &amp; Summary
 
 
 At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
 
 
 Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
 
 
 
 
 Role Overview
 
 
 
 We are seeking a highly skilled and experienced Data Scientist to join our team at a leading professional services firm. The ideal candidate will have a strong background in data science, analytics, and machine learning, with at least 4 years of relevant experience. This role involves working closely with cross-functional teams to derive actionable insights from complex data sets and support strategic decision-making about how we attract, develop, and retain top talent, improve decision-making about our people, and deliver business-driven, actionable insights.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and implement advanced data models and algorithms to solve business problems.
 </li>
 <li>
 Analyze large and complex data sets to identify trends, patterns, and insights.
 </li>
 <li>
 Collaborate with stakeholders to understand business requirements and translate them into business questions and data solutions.
 </li>
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 Develop and maintain dashboards, reports, and visualizations to communicate findings effectively.
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 Apply machine learning and AI techniques to enhance data-driven decision-making.
 </li>
 <li>
 Ensure data governance, quality, and compliance with internal and external standards.
 </li>
 <li>
 Stay current with industry trends and emerging technologies in data science and analytics.
 
 
 </li>
 </ul>
 
 Required Qualifications and Experience
 
 
 <ul>
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 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
 </li>
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 Minimum of 4 years of professional experience in data science or analytics roles.
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 Technical proficiency in complex statistical analysis using tools such as R or Python.
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 Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
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 Knowledge of generative AI models and their applications.
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 Experience using APIs, SQL and other technical methods to extract and combine data from various sources.
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 Strong skills in data visualization tools such as Power BI.
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 Excellent analytical, problem-solving, and communication skills, both written and verbal (in English).
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 Flexibility to work across time zones and support global clients.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 <ul>
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 Advanced degree (MSc or PhD) in a quantitative field.
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 Experience in extracting and working with large and complex people data sets, preferably Workday HCM.
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 Experience working in a professional services or consulting environment.
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 Experience in managing analytics projects in a complex, matrixed environment.
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 Familiarity with cloud platforms such as AWS, Azure, or GCP.
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong interpersonal and stakeholder management skills.
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 Ability to work independently and collaboratively in a team environment, providing coaching, feedback and supervision.
 </li>
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 Excellent time management and organizational skills.
 </li>
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 Eagerness to innovate and learn new technologies, failing fast and learning from mistakes.
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 <li>
 High attention to detail.
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 <li>
 Adaptability and resilience in a fast-paced environment
 
 </li>
 </ul>
 
 
 Required Skills
 
 
 
 
 
 Optional Skills
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation {+ 23 more}
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 
 
 
 Government Clearance Required?
 
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

ETIC, Data Science - Manager

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