IT&D Data Scientist

4 tygodni temu

Warsaw, Polska Reckitt Pełny etat

IT&D Data Scientist

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.

About the role

One of your key responsibilities will be to proactively contribute to the AI & ML Community of Practice at Reckitt. This community brings together practitioners and enthusiasts across the company, fostering a culture of continuous learning and innovation in the field of AI and ML.

Your responsibilities

Contributing to the AI & ML Community of Practice, fostering a culture of continuous learning and innovation, and facilitating knowledge sharing and collaboration among its members. Collaborating with team members in the development of analytics pilot projects, and translating business requirements into effective data science solutions. Assisting in the end-to-end process of building machine learning models, from data preparation to model deployment. Working on cloud-based analytics projects (primarily Azure), connecting with different data sources, and building custom data pipelines as needed. Contributing to the growth of the Data Science community within our company and helping to expand the Center of Excellence. Conducting comprehensive analysis of large datasets to uncover insights and answer business questions. Prototyping, developing, and deploying data products while maintaining high-quality code and documentation. Ensuring the efficiency, stability, and scalability of the solution.

The experience we're looking for

A proactive attitude, a winning mindset, strong problem-solving skills, excellent organizational abilities, and a desire to work in a dynamic team environment. You should also be curious about working cross-culturally and functionally. Demonstrated leadership skills and experience in building and driving communities of practice or similar groups. At least 1 year of hands-on experience using advanced analytical techniques to solve practical problems, from prototyping to achieving business impact. A university degree with a focus on quantitative methods, econometrics, statistics, mathematics, or related degree programs. Proficient programming skills in Python. A solid understanding of machine learning and statistical methods, along with their underlying theory and mathematics. A passion for innovation and the development of algorithms for new use cases (e.g., projects involving chatbots, computer vision, etc.) Experience with relational databases. Experience with Microsoft Azure Cloud (knowledge of other Cloud platforms is a plus). Familiarity with data visualization tools (e.g., PowerBI) is an asset. An understanding of recommendation systems, churn modeling, Predictive Search, NLP concepts, and a desire to gain hands-on expertise in these domains. Fluency in English (proficiency in any other language is 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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