IT&D Data Scientist & Analytics Manager

Job description

IT&D Data Scientist & Analytics Manager

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.

​Information Technology & Digital​

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

The IT&D function is responsible for the digital transformation of the organization with the objective of driving commercial value and business growth.

We use technology as a strategic asset to deliver a competitive edge to our business to outperform in the market.

Data-led insights and decision-making is a key pillar that enables this objective.

We are on the lookout for a rockstar data scientist & analytics lead who brings the expertise of mining information and using cutting-edge AI/ML capabilities to deliver invaluable business insights.

Your responsibilities

This role will be responsible for the below key job specifications:

1.

Lead ReckittSouth Asia’s data stack evolution and strategy to enhance our reporting and analytics capabilities.

2.

Manage enterprise data model, data integrity, availability, and information confidentiality as its chief custodian.

3.

Collaborate with cross-functional teams to understand business needs & identifying opportunities and integrate analytics-driven solutions into their business processes.

4.

Leverage a profound understanding of mathematical & statistical principles in collaboration with sophisticated machine learning and decision-science algorithms and programming to solve key business challenges to deliver commercial value.

5.

Stay abreast with industry trends, emerging technologies and best practices in data science, bringing innovative ideas to improve organizational performance.

6.

As the regional product manager for data solutions, collaborate with the global product management to ensure strict adherence to guidelines, processes and templates and cross-pollination of best-practices.

7.

As member of the South Asia IT&D team strive to bring together our cross-functional experts through data and by constantly striving to improve the data literacy of the overall function.

The experience we're looking for

• 5-9yearsofexperiencepost-qualificationwith significant experience in consumer goods/ durables/ retail/ food & beverages/ electronics/ retail industry with proven experience in using data science techniques for resolving business needs and challenges

• Demonstrated experience of industry, organizational and functional processes especially sales, supply and marketing.

• Comprehensive understanding of regression and classification algorithms with mathematical expertise.

Proficiency in Python with relevant libraries and frameworks to address specific business problems (e.g., TensorFlow, PyTorch, scikit-learn).

• Experience in data modelling, visualization and building/managing data pipelines with automations (ETL/power automate) will be essential.

• Great problem-solving skills and depth of business understanding is a key consideration.

• Demonstrated ability to manage multiple stakeholders, partner to influence outcomes, building convincing narratives and driving multiple initiatives is essential.

The skills for success

Data Science, Analytics, Power BI, statistical Analytics, Predictive Analytics, ML, NLP, FMCG, Mix Market Modelling, Customer Segmentation.

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.

Job Segment: Nutrition, Counseling, Healthcare

Required Skill Profession

Mathematical Science Occupations