IT&D Senior Data Scientist

2 tygodni temu

Warszawa, Mazovia, Polska Reckitt Pełny etat

IT&D Senior Data Scientist (sustainability)

City: Warszawa

We are Reckitt

Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose.
Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege.

​IT & D​

In IT&D, you'll be a force for good, whether you're championing cyber security, defining how we harness the power of technology to improve our business, or working with data to guide the innovation of consumer loved products.

Working globally across functions, you'll own your projects and process from start to finish, with the influence and visibility to achieve what needs to be done. And if you're willing to bring your ideas to the table, you'll get the support and investment to make them happen.

Your potential will never be wasted. You'll get the space and support to take your development to the next level. Every day, there will be opportunities to learn from peers and leaders through working on exciting, varied projects with real impact. And because our work spans so many different businesses, from Research and Product Development to Sales, you'll keep learning exciting new approaches.

By 2030 we are working to reach half the world with products that contribute to a cleaner, healthier world. These 2030 ambitions embed sustainability in the core of our business. Our ambitions are chosen to reflect the areas where we can maximise our positive and enduring impact – supported by specific targets and metrics to drive disciplined execution across the business. This role would play an important part in helping to facilitate this greener future.

About the role

As a Senior Data Scientist in our innovative Global Data Science Team, you will be a key driver in advancing our data-driven sustainability initiatives. Your expertise will be crucial in leveraging data to create impactful solutions that promote environmental stewardship across various global projects.

The Senior Data Scientists role will be a key driver in helping enable healthier planet Choices through data driven decision making. You will help us by discovering the information hidden in vast amounts of data, structured and unstructured, to enable smarter decisions and better products for all our consumers and customers worldwide. This will ultimately support developing a sustainability tech ecosystem, supporting reporting capabilities and other more predictive/prescriptive analytics tools in the future.

Your responsibilities

Lead the development and implementation of predictive models for sustainability operations, aiming to reduce carbon footprint without compromising efficiency. Pioneer the Sustainability AI initiatives, providing insights and strategies to enhance Reckitt's ESG commitment. Collaborate with cross-functional teams to integrate sustainability-focused predictive models, ensuring alignment with Reckitt's long-term environmental goals. Manage the end-to-end process of building and deploying machine learning models that support sustainable business decisions, from data collection to actionable insights. Design and implement cloud-based analytics solutions on Azure, focusing on sustainable data management connecting with various data sources. Expand the Data Science community's knowledge on sustainability, contributing to the company's AI & ML Community of Practice.

The experience we're looking for

Experience in developing models that support sustainability, such as predictive maintenance, resource optimization, and environmental impact assessment. Strong analytical skills with at least 3 years of hands-on experience in applying advanced analytical techniques to achieve practical business impacts. Proficiency in Python and familiarity with other programming languages. Deep understanding of machine learning, statistical methods, and their applications in business analytics, including sustainability analytics. Experience with Microsoft Azure Cloud and knowledge of other cloud platforms is a plus. Familiarity with sustainability metrics and frameworks, and how they can be integrated into business practices. Excellent problem-solving skills, organizational abilities, and a desire to work in a dynamic team environment. A university degree focused on quantitative methods, econometrics, statistics, mathematics, or related fields. Proficiency in English, with additional languages considered a plus.

The skills for success

Digital Strategy, Data Governance, Product Compliance, Digital Transformation, Stakeholder Relationship Management, Outstanding Communication, stakeholder engagement, Cyber Security Strategy, Cyber Security, Data Privacy, Market Value, Market Chain, Data Driven Practices, Advanced Analytics, Data Analytics, Governance.

What we offer

With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way.
We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy.

Equality

We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you.
All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.

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