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Data Scientist SME Lead

bp -
Pune, Maharashtra

Apply Now

Job details

Full-time
1 day ago

Qualifications

Power BI
Data modeling
Big data
Project management
Continuous integration
Scrum
Agile
Data science
Python
Analytics

Full job description

Job category

Project Management

Experience level

Intermediate

Relocation available

This role is not eligible for relocation

Job type

Professionals

Travel required

No travel is expected with this role

Job code

RQ111320

Apply now!

Castrol is a global leader in lubricants and part of the bp Group, one of the world’s largest energy companies. In India, Castrol is a publicly listed company, leading in the Automotive, Industrial, and Marine lubricant sectors. With iconic brands, steadfast innovation, strong customer relationships, and a team of highly motivated employees, we have maintained our market leadership in India for over a century. Our robust manufacturing and distribution network in India helps us reach consumers through more than 135,000 outlets.

At Castrol, success knows no bounds. We offer a fast-paced learning environment where you can develop your career, whether in specialized functions or on a general management track. Castrol India has a proud legacy of championing top talent for leadership roles, both locally and globally.

This is a role within the Castrol organisation, and the successful candidate will become part of the Castrol ring-fence. If you are part of the ring-fence, it is expected that your employment will move with Castrol to new ownership

About the role:

As the Data Scientist Senior SME for Castrol you will collaborate with business partners across Digital Operational Excellence, Technology, and Castrol’s PUs, HUBs, Functions, and Markets to model and sustain curated datasets within the Castrol Data ecosystem. The role ensures agile, continuous improvement of curated datasets aligned with the Data Modelling Framework and supports analytics, data science, operational MI, and the broader Digital Business Strategy.

On top of the Data lake we now have enabled the MLOPS environment (PySpark Pro) and Gurobi with direct connections to manage the advance analytics and data science queries and algorithms written in python. This enables the data analyst and data science team to incubate insights in an agile way.
The Data Modeller role will contribute and enable the growth trajectory on data science skills and capabilities within the role, the team and the wider Castrol data analyst/science community, data science experience is a plus but basic skills would suffice to start

Shift Timing: 1:30pm to 10:30pm/ 2:30pm to 11:30pm IST

Key Responsibilities:

Data Modelling Framework Management Maintain and evolve the Data Modelling Framework and repository across ERPs, source systems, and the digital landscape in partnership with Technology.
Governance & Stakeholder Engagement
Govern curated datasets through the Data Modelling Governance process with stakeholders including Digital Opex, I&E, DataWorx, C&P, CVP&E, and others.
Support for Data Architecture & MI
Collaborate with the Data Architect and Operational MI Lead to resolve data challenges and ensure alignment with the Digital and Data Management frameworks.
Change Execution
Contribute to and support the execution of the Digital & Data Change Backlog, delivering incremental business value throughout the data lifecycle.
Domain Expertise
Act as SME, product owner, or scrum master for digital projects (e.g., PCC), ensuring sustainability and strategic alignment during rollout and embedding of the product portfolio performance.
Mathematical Modelling: Partner with functional experts to translate business scenarios and optimization options into mathematical models. Interpret constraints and translate modelling outcomes into insights and what-if analyses to drive robust decision-making from highly dimensional BIG data.
Data Modelling Framework: Support the Data Modelling Framework and repository for all data areas within the Harmonized Data Lake, encompassing PU-relevant ERPs, source systems, and the digital landscape.
Scalable Data Challenges: Assist the Data Architect and Operational MI Lead in managing scalable data challenges for digital, Operational MI, and Analytics as defined by PUs, HUBs, Functions, and Markets. Apply end-to-end Digital and Data strategic views of the Data Management Framework to ensure accuracy and balanced digital or data solutions that optimize business performance.
Data Science Toolkit: Support the embedding of the data science (ML/AI) toolkit in alignment with the business strategy and I&E framework
Collaborate with peers and support multi-functional teams
Work across time zones and support multi-disciplinary initiatives
Apply a solutioning attitude to scale global to local and a fluent communicator
Recommend data modelling strategies, CI opportunities, and capability/toolkit enhancements to the Data Architect, Operational MI Lead, and Digital Operational
Excellence Manager; Influence business partners on data governance and modelling best practices.

Education: Degree in an analytical field (preferably IT or engineering) or 7+ years of relevant experience.

Experience:

Proven track record in delivering data models and curated datasets for major transformation projects.
Broad understanding of multiple data domains and their integration points.
Strong problem-solving and collaborative skills with a strategic attitude.

Skills & Competencies:

Expertise in data modeling, data wrangling of highly complex, high-dimensional data (ER Studio, Gurobi, SageMaker PRO).
Proficiency in translating analytical insights from high-dimensional data.

Skilled in PowerBI data modeling and proof of concept design for data and analytics dashboarding.
Proficiency in Data Science tools such as Python, Amazon SageMaker, GAMS, AMPL, ILOG, AIMMS, or similar.
Ability to work across multiple levels of detail, including Analytics, MI, statistics, data, process design principles, operating model intent, and systems design.
Strong influencing skills to use expertise and experience to shape value delivery.
Demonstrated success in cross-functional deployments and performance optimization

At Castrol, we support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to fostering an inclusive environment in which everyone is respected and treated fairly. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, and excellent retirement benefits, among others! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Our innovative Energize recognition points programme and spot awards translate exceptional performance into tangible rewards, to motivate our high performers.

Pay

bp offers competitive pay in line with industry standards, making us an employer of choice.

Discretionary bonus

We offer discretionary bonuses to reward strong company, business unit and individual performance, and recognition awards, including those related to long service to recognize commitment to the company.

Retirement & savings

We offer a range of discretionary retirement and savings plans to help provide you and your family with financial security.

Insurance benefits

To give you additional peace of mind, bp provides valuable insurance benefits in some countries. These are designed to provide financial assistance to employees and their families if employees become unwell or die in service.

Equity

Depending on your location and job level, there may be equity (stock and share) options you are eligible to join so you can be part of bp’s success.

Disclaimer

This is a high-level summary only of terms and current discretionary benefits applicable to certain roles. Some rewards, benefits and policies are at managers’ discretion and vary depending on where you work within the business. All terms subject to contract and all discretionary benefits subject to policy and eligibility.

Apply Now

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At Castrol, success knows no bounds. We offer a fast-paced learning environment where you can develop your career, whether in specialized functions or on a general management track. Castrol India has a proud legacy of championing top talent for leadership roles, both locally and globally.

This is a role within the Castrol organisation, and the successful candidate will become part of the Castrol ring-fence. If you are part of the ring-fence, it is expected that your employment will move with Castrol to new ownership

About the role:

Shift Timing: 1:30pm to 10:30pm/ 2:30pm to 11:30pm IST

Key Responsibilities:

Data Modelling Framework Management Maintain and evolve the Data Modelling Framework and repository across ERPs, source systems, and the digital landscape in partnership with Technology.

Governance & Stakeholder Engagement Govern curated datasets through the Data Modelling Governance process with stakeholders including Digital Opex, I&E, DataWorx, C&P, CVP&E, and others.

Support for Data Architecture & MI Collaborate with the Data Architect and Operational MI Lead to resolve data challenges and ensure alignment with the Digital and Data Management frameworks.

Change Execution Contribute to and support the execution of the Digital & Data Change Backlog, delivering incremental business value throughout the data lifecycle.

Domain Expertise Act as SME, product owner, or scrum master for digital projects (e.g., PCC), ensuring sustainability and strategic alignment during rollout and embedding of the product portfolio performance.

Mathematical Modelling: Partner with functional experts to translate business scenarios and optimization options into mathematical models. Interpret constraints and translate modelling outcomes into insights and what-if analyses to drive robust decision-making from highly dimensional BIG data.

Data Modelling Framework: Support the Data Modelling Framework and repository for all data areas within the Harmonized Data Lake, encompassing PU-relevant ERPs, source systems, and the digital landscape.

Data Science Toolkit: Support the embedding of the data science (ML/AI) toolkit in alignment with the business strategy and I&E framework

Collaborate with peers and support multi-functional teams

Work across time zones and support multi-disciplinary initiatives

Apply a solutioning attitude to scale global to local and a fluent communicator

Recommend data modelling strategies, CI opportunities, and capability/toolkit enhancements to the Data Architect, Operational MI Lead, and Digital Operational

Excellence Manager; Influence business partners on data governance and modelling best practices.

Education: Degree in an analytical field (preferably IT or engineering) or 7+ years of relevant experience.

Experience:

Proven track record in delivering data models and curated datasets for major transformation projects.

Broad understanding of multiple data domains and their integration points.

Strong problem-solving and collaborative skills with a strategic attitude.

Skills & Competencies:

Expertise in data modeling, data wrangling of highly complex, high-dimensional data (ER Studio, Gurobi, SageMaker PRO).

Proficiency in translating analytical insights from high-dimensional data.

Skilled in PowerBI data modeling and proof of concept design for data and analytics dashboarding.

Proficiency in Data Science tools such as Python, Amazon SageMaker, GAMS, AMPL, ILOG, AIMMS, or similar.

Ability to work across multiple levels of detail, including Analytics, MI, statistics, data, process design principles, operating model intent, and systems design.

Strong influencing skills to use expertise and experience to shape value delivery.

Demonstrated success in cross-functional deployments and performance optimization

Governance & Stakeholder Engagement
Govern curated datasets through the Data Modelling Governance process with stakeholders including Digital Opex, I&E, DataWorx, C&P, CVP&E, and others.

Support for Data Architecture & MI
Collaborate with the Data Architect and Operational MI Lead to resolve data challenges and ensure alignment with the Digital and Data Management frameworks.

Change Execution
Contribute to and support the execution of the Digital & Data Change Backlog, delivering incremental business value throughout the data lifecycle.

Domain Expertise
Act as SME, product owner, or scrum master for digital projects (e.g., PCC), ensuring sustainability and strategic alignment during rollout and embedding of the product portfolio performance.