5 Pydash Jobs

About the role Lead Enterprise Analytics teams partnerships with Business teams across Tesco group to enable data driven decisions and deliver on organization&aposs key strategic priorities and business impact You will be responsible for - Developing and leading a high performing team, creating an environment for success by setting direction and coaching them to succeed through inspiring conversations every day. (Refer to the expectations of a manager at Tesco- the minimum standards)- Initiates and designs continuous improvements initiatives to drive performance within their teams- Accountable for achieving teams objectives, stakeholder management and escalation management.- Making decisions within policy and procedure framework to deliver business plans.Engage with business teams to understand their key objectives, translate business problems to analytical problems that can drive disproportionate returns and scope the same into analytical scoping document calling out how application of Data Science will improve decision making- Own creation and delivery of long term plans programs based on key priorities of the business function and proactively spot sizeable opportunities to deliver value beyond the agreed plans- Institutionalize robust ways of working by demonstrating thought leadership in scoping the business problems, solution design, developing reusable frameworks, driving best coding practices and knowledge management- Drive value realization through delivery of high impact projects and efficiency gain through automation- Establish frameworks to quantify business impact and measure return on investment for Analytical Investments- Build a culture of continuous measurement and identifying ways to maximize impact delivered per colleague- Develop and lead an impactful team, crafting an environment for success by setting direction, stretch objectives and mentor colleagues to succeed through inspiring conversations every day- Mentor team and building personal development plans for each colleague to enable individuals career development- Lead functional initiatives to drive continuous development of Enterprise Analytics You will need 7-10 years experience in analytics delivery preferred, with preference for: Industry experience: Retail, CPG, e-Commerce Functional experience: Customer, Category / Product Management, Merchandising, Marketing, Supply Chain, Operations, Fulfillment, Finance - Applied Math : Regression Analysis, Tree Based Algorithms, Neural Network, Classification, Clustering, Optimization Programming, Design of Experiments- Tech : Python, SQL, Hive, Hadoop, Spark Tableau, PyDash or any other web based visualization tool- Retail Expertise, Partnership management, Analytical Thinking & Problem solving, Storyboarding, People Management Skills Whats in it for you At Tesco, we are committed to providing the best for you. As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day. Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits. Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable. Salary - Your fixed pay is the guaranteed pay as per your contract of employment. Performance Bonus - Opportunity to earn additional compensation bonus based on performance, paid annually Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the companys policy. Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF. Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws. Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents. Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request. Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan. Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle. About Us Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers. Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues. Tesco Business Solutions: Established in 2017, Tesco Business Solutions (TBS) has evolved from a single entity traditional shared services in Bengaluru, India (from 2004) to a global, purpose-driven solutions-focused organisation. TBS is committed to driving scale at speed and delivering value to the Tesco Group through the power of decision science. With over 4,400 highly skilled colleagues globally, TBS supports markets and business units across four locations in the UK, India, Hungary, and the Republic of Ireland. The organisation underpins everything that the Tesco Group does, bringing innovation, a solutions mindset, and agility to its operations and support functions, building winning partnerships across the business. TBS&aposs focus is on adding value and creating impactful outcomes that shape the future of the business. TBS creates a sustainable competitive advantage for the Tesco Group by becoming the partner of choice for talent, transformation, and value creation. 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The role of Lead Enterprise Analytics at Tesco involves partnering with Business teams to enable data-driven decisions and deliver on the organization's key strategic priorities and business impact. You will be responsible for developing and leading a high-performing team, setting direction, and coaching them to succeed. Initiating and designing continuous improvement initiatives to drive performance within the teams, achieving team objectives, stakeholder management, and making decisions within policy and procedure framework to deliver business plans are also part of the role. Furthermore, you will engage with business teams to understand their key objectives, translate business problems into analytical problems, and scope the same into an analytical scoping document. You will own the creation and delivery of long-term plans programs based on key priorities of the business function, proactively spot sizeable opportunities to deliver value beyond the agreed plans, and institutionalize robust ways of working. Additionally, you will drive value realization through the delivery of high-impact projects and efficiency gains through automation. It is essential to establish frameworks to quantify business impact, measure return on investment for Analytical Investments, and build a culture of continuous measurement. Developing and leading an impactful team, crafting an environment for success, and mentoring colleagues for their career development are crucial aspects of the role. The ideal candidate should have 7-10 years of experience in analytics delivery, preferably in industries such as Retail, CPG, or e-Commerce. Proficiency in Applied Math concepts like Regression Analysis, Tree Based Algorithms, Neural Network, Classification, Clustering, Optimization Programming, Design of Experiments, and technologies like Python, SQL, Hive, Hadoop, Spark, Tableau, PyDash or any other web-based visualization tool is required. Retail expertise, partnership management, analytical thinking, problem-solving skills, storyboarding, and people management skills are also necessary for this role. At Tesco, we are committed to providing a unique, differentiated, market-competitive reward package for our colleagues, based on the current industry practices. The Total Rewards offered at Tesco are determined by four principles - simple, fair, competitive, and sustainable, including performance bonuses, leave entitlement, retirement benefits, health and wellness programs, financial literacy support, savings plans, and physical wellbeing initiatives. Tesco in Bengaluru is a multi-disciplinary team serving customers, communities, and the planet across markets, striving to create a sustainable competitive advantage for Tesco. With expertise in standardizing processes, delivering cost savings, enabling agility through technological solutions, and empowering colleagues, Tesco in Bengaluru aims to offer high-quality services for customers worldwide. Established in 2017, Tesco Business Solutions (TBS) is committed to driving scale at speed and delivering value to the Tesco Group through decision science, supporting markets and business units globally while creating impactful outcomes for the future of the business.,

As a Data Analyst at Tesco, you will be responsible for analyzing complex datasets and presenting insights through visual storytelling and visualization tools such as Tableau and PyDash. Your role will involve ensuring data quality and integrity, completing tasks within agreed KPIs, and supporting automation of tasks like report generation and dashboard refresh. You will engage with market partners to understand business problems, translate them into analytical questions, conduct specified analysis, and present actionable insights to decision-makers. Additionally, you will be expected to write well-structured and efficient code, contribute to the development of knowledge assets, and generate practical insights that drive business decisions. To excel in this role, you should have a basic understanding of business decisions, 1-2 years of experience in analytics delivery, and proficiency in domains like retail, CPG, telecom, or hospitality. Knowledge of Tableau, Basic Statistical Concepts, Advanced Excel, SQL, and experience with tools like Hive, Hadoop, Teradata, and Alteryx/Python will be beneficial. At Tesco, we value our colleagues and offer a competitive reward package based on industry practices. This includes performance bonuses, generous leave entitlement, retirement benefits, health and wellness programs, financial coaching, and opportunities to become Tesco shareholders. Our aim is to support your physical, mental, and financial wellbeing to help you thrive in both your personal and professional life. Tesco in Bengaluru is a diverse team dedicated to serving customers, communities, and the planet. We strive to create a sustainable competitive advantage by standardizing processes, delivering cost savings, and empowering our colleagues. With a focus on innovation and agility, we aim to shape the future of the business and become the partner of choice for talent, transformation, and value creation.,

As a Senior Data Scientist in the Global Data Science & Advanced Analytics team at Colgate-Palmolive, your role will involve leading projects within the Analytics Continuum. You will be responsible for conceptualizing and developing machine learning, predictive modeling, simulations, and optimization solutions to address business questions with clear dollar objectives. Your work will have a significant impact on revenue growth management, price elasticity, promotion analytics, and marketing mix modeling. Your responsibilities will include: - Conceptualizing and building predictive modeling solutions to address business use cases - Applying machine learning and AI algorithms to develop scalable solutions for business deployment - Developing end-to-end business solutions from data extraction to statistical modeling - Conducting model validations and continuous improvement of algorithms - Deploying models using Airflow and Docker on Google Cloud Platforms - Leading pricing, promotion, and marketing mix initiatives from scoping to delivery - Studying large datasets to discover trends and patterns - Presenting insights in a clear and interpretable manner to business teams - Developing visualizations using frameworks like Looker, PyDash, Flask, PlotLy, and streamlit - Collaborating closely with business partners across different geographies To qualify for this position, you should have: - A degree in Computer Science, Information Technology, Business Analytics, Data Science, Economics, or Statistics - 5+ years of experience in building statistical models and deriving insights - Proficiency in Python and SQL for coding and statistical modeling - Hands-on experience with statistical models such as linear regression, random forest, SVM, logistic regression, clustering, and Bayesian regression - Knowledge of GitHub, Airflow, and visualization frameworks - Understanding of Google Cloud and related services like Kubernetes and Cloud Build Preferred qualifications include experience with revenue growth management, pricing, marketing mix models, and third-party data. Knowledge of machine learning techniques and Google Cloud products will be advantageous for this role. Colgate-Palmolive is committed to fostering an inclusive environment where diversity is valued, and every individual is treated with respect. As an Equal Opportunity Employer, we encourage applications from candidates with diverse backgrounds and perspectives. If you require accommodation during the application process due to a disability, please complete the request form provided. Join us in building a brighter, healthier future for all.,

As a Senior Specialist in Global Data Science at Colgate-Palmolive, you will play a crucial role in the GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical. This department focuses on working on business cases with significant financial impacts for the company, providing solutions to business questions, recommended actions, and scalability options across markets. Your position as a Data Scientist will involve leading projects within the Analytics Continuum, where you will be responsible for conceptualizing and developing machine learning, predictive modeling, simulations, and optimization solutions aimed at achieving clear financial objectives for Colgate-Palmolive. Your responsibilities will include building predictive modeling solutions, applying ML and AI algorithms to analytics, developing end-to-end business solutions from data extraction to building business presentations, conducting model validations, and continuous improvement of algorithms. You will also deploy models using Airflow and Docker on Google Cloud Platforms, own Pricing and Promotion, Marketing Mix projects, and present insights to business teams in an easily interpretable manner. To qualify for this role, you should have a BE/BTECH in Computer Science or Information Technology, an MBA or PGDM in Business Analytics or Data Science, additional certifications in Data Science, or an MSC/MSTAT in Economics or Statistics. You should have at least 5 years of experience in building statistical models, hands-on experience with coding languages such as Python and SQL, and knowledge of visualization frameworks like PyDash, Flask, and PlotLy. Understanding of Cloud Frameworks like Google Cloud and Snowflake is essential. Preferred qualifications include experience in managing statistical models for Revenue Growth Management or Marketing Mix models, familiarity with third-party data sources, knowledge of machine learning techniques, and experience with Google Cloud products. At Colgate-Palmolive, we are committed to fostering an inclusive environment where individuals with diverse backgrounds and perspectives can thrive. Our goal is to develop talent that best serves our consumers globally and ensure that everyone feels a sense of belonging within our organization. We are an Equal Opportunity Employer dedicated to empowering all individuals to contribute meaningfully to our business.,