IT&D Data Science Expert

2 tygodni temu

Warszawa, Mazovia, Polska Reckitt Pełny etat
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

Are you a data science expert passionate about latest AI development and looking for an opportunity to drive ML solutions while contributing to AI Governance efforts? We are seeking a Data Science Expert who is not just skilled but also fosters a culture of data-driven decision-making and strong governance; the person who had prior experience with GenAI and is familiar with current and upcoming AI regulation (e.g. EU AI Act). This role is a key part of our Global Data Science team, supporting Responsible AI efforts.

Your responsibilities
  • Foster an AI-first culture leaning towards data-driven decision-making.
  • Engage with IT&D Product Lines to discuss business challenges and identify potential AI & ML solutions, addressing their opportunities and risks.
  • Collaborate with SMEs and platform teams on data necessities and arrangements, ensuring optimal performance.
  • Support Responsible AI efforts, ensuring that our data science practices are ethical, fair, and transparent.
  • Stay up-to-date on the latest trends and best practices in the data science field and lead the design, creation, and implementation of complex models and algorithms that drive analytical solutions throughout the organization.
  • Convey model principles and outcomes to management in an understandable manner; be adept at storytelling.

We Value:

  • Experts who emphasizes strong governance, focusing on best practices, standards, and ways of working.
  • Professionals who are adept at conveying complex technical language to business stakeholders in a very accessible way.

Your Growth Matters:

  • Prioritizing psychological safety in a workplace, we believe in fostering an environment where you can emphasize talent development and collaborative work. You will have opportunities to engage in various global initiatives allowing you to get your development to the next level.
The experience we're looking for
  • M.Sc. or Ph.D. in Quantitative Methods, Computer Science, Statistics, Mathematics, Physics.
  • Min. 5 years of industry experience in handling structured and unstructured data, with a proven record of accomplishment of leveraging data to drive business impact.
  • Min. 2 years of managing enterprise-wide data science project and/or initiatives.
  • Experience with Responsible AI practices would be a strong advantage.
  • Strong Programming skills in Python and solid understanding of cloud services (preferably Azure and).
  • Experience in data science capacity within complex business environments, including data mining, machine learning, NLP, AI, and predictive modelling.
  • Experience working with large datasets using various data wrangling and visualization tools.
  • Used various Business Intelligence tools (preferably Power BI).
  • Developed a good working knowledge of available technology capabilities and how and where to deploy them.
  • Led data discovery process with key stakeholders to identify business requirements and expected outcomes.
  • Consumer Goods industry understanding is an advantage.
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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