Senior Data Scientist
Vacancy Number: PUB415022
Qatar, Doha
Fulltime: 45 hrs a week
Experience: > 10 Years
Education Level: Academic Bachelor
Conventional Energy
Closing: September 16, 2025
Introduction
- To participate in the development of data science strategy and tactics to support the company’s strategic objectives to become a data driven company.
- To promote data science & analytics to increase business insights to resolve business problems or support decisions making processes.
- Develop innovative PoCs and end-to-end data analytics solutions with high value adding in terms of business impact.
- Contribute and propose ways to maximize the value of geosciences, operations, HSE, CPD and MP, etc. data.
- To manage relationships with internal and external vendors for data science.
What are you going to do
- Safety, Communication & working environment
- Uphold and be a role model for company’s core values, incident free and approved behaviours.
- Help maintain motivation, team spirit and camaraderie.
- Continuously improve ways of working through 'inspect and adapt', fostering a growth and collaborative mindset on the different stakeholders the Digital team works with.
- Effectively engages with peers and leaders through clear communication, active listening, and relationship-building.
- Able to mentor junior team members, provide technical guidance, and leading data science projects to successful completion.
- Study: Ideation and experimentation
- Lead, manage and conduct data science pilots (big data and / or GenAI, Machine Vision), MVP or UC in coordination with business and Digital Business Solutions SMEs.
- Conduct data science studies through complex quantitative analysis and modelling independently and efficiently.
- Develop algorithms and data driven analytical solutions to enable in-house use case building.
- Translate the output of analysis into practical recommendations.
- Proactively explores diverse analytical techniques and communicates foundational concepts with clarity, while effectively influencing strategic decisions through upward communication.
- Use case: Envisioning & conceptualization
- Support use case framing providing input regarding company’s readiness in terms of data and best modelling methodology for the use case idea.
- Participate proactively in the design strategy in terms of technological choices, implementation of platforms & definition of priority subjects under the leadership of the Lead Data Scientist.
- Create technical specifications of the models and requirements for integration for the technical scope of work.
- Understand company data sources and performs queries to translate business requirements into data-driven solutions.
- Ensure and develop relations with vendors (software/technological vendors and consulting firms) related to data science matters.
- Facilitate market scouting and vendor selection during Call for Tenders (CFT), evaluating bidders' technical capabilities.
- Use case: Development
- Supervise and provide guidance for the execution of the vendor-led data analytics/science scopes of PoC, MVP and/or UCs.
- Coordinate with the Development head, PO and Scrums in case of any issues & contribute proactively to their resolution.
- Oversee the e2e design and implementation of analytics models by the vendors, ensuring the required quality.
- Provide feedback in sprint reviews, to the product owner, scrums and Digital management.
- Propose and animate communication related to data science in coordination with data management groups (is and technical depts.)
- Identify the needs of the technical departments in terms of analysis and visualization of structured and/or unstructured data through big data and/or data mining approaches.
- Support user acceptance testing of the models delivered by the vendors.
- Explain sophisticated data science concepts in an understandable manner.
- Use case: roll-out
- Ensure and promote the adoption by the users of the concepts and possibilities provided by data science within the technical departments.
- Support the transition to project/use case mode & support the implementation and deployment at scale of big data and/or data analytics solutions.
- Use case: Enhancements
- Support the required re-training and enhancement of the models.
- Develop algorithms and data driven analytical solutions to enable in-house enhancements development.
- Monitor new methods as well as software and hardware technologies and technological trends.
- Participate in the development of partnerships to develop solutions and/or methods.
Essential skills and knowledge
- Master’s degree in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, or Engineering.
- Minimum 6 years of experience in Data Science: Proven track record of developing and implementing machine learning models, advanced analytics solutions, and data-driven decision-making strategies
- Industry Expertise: Experience working in the oil and gas industry, with a strong understanding of its challenges, processes, and data types (e.g., seismic data, production data, reservoir data).
- GenAI Expertise: Hands-on experience with Generative AI technologies, including building PoCs/ solutions using large language models or other generative frameworks.
- Programming Languages: Proficiency in Python is required. Additional experience in Spark is a plus.
- Data Manipulation Tools: Good experience with SQL, Pandas, and other data processing tools.
- Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries.
- Cloud Platforms: Hands-on experience with cloud services such as Microsoft Azure including their AI and data services is a plus.
- Visualization Tools: Proficiency in Power BI, or similar visualization platforms.
- Big Data Technologies: Familiarity with Hadoop, Spark, or Databricks is an advantage.
- Statistical Analysis: Strong foundation in statistical modeling, hypothesis testing, and predictive analytics.
- Problem-Solving: Proven ability to translate complex business problems into actionable data science solutions.
- Collaboration: Strong track record of cross-functional collaboration, effectively communicating technical concepts, from foundational principles to advanced methodologies to diverse stakeholder audiences.
- Strong stakeholder management: Setting clear expectations, fostering trust through transparent communication, and applying empathy to build lasting, collaborative relationships.
- Demonstrates mastery of the English language across spoken, written, and active listening skills, enabling clear, empathetic, and effective communication in diverse professional settings.
What we offer
- Salary:
- Day Rate in USD Plus Allowance
- Work Schedule:
- 8 Hours / 5 Days
- Duration:
- Dec-2026, with possible extension
- Location:
- Qatar
Are you the perfect match for this vacancy? Apply in 5 minutes and let's get in touch!
Anything Else?
Shape your future
Are you ready for the next step in your career? Join Brunel’s powerful global network, where passionate, results-driven specialists come together with industry-leading clients. By connecting specialists to pioneering projects, we drive change in many industries, enabling growth and delivering great outcomes. Brunel helps you reach your full potential and empowers you to make an impact within a purpose-driven global company.
Explore your career opportunities!
Explore your career opportunities!
Our Culture and Values
At Brunel, we are proud of our unique corporate culture, which is shaped and nurtured by the collective efforts of our employees. Our work environment is characterised by an authentic, communicative and inclusive approach to teamwork that fosters an atmosphere of collaboration and creativity. Our values are at the center of everything we do – for our clients, our colleagues and ourselves.
Learn more about our global network of specialists!
Learn more about our global network of specialists!
Our ESG Commitment
Since 1975, our mission has always been to connect specialists to exciting career opportunities, to support the development of these careers, and to offer fair and equal employment. This has enabled us to create a truly sustainable and durable business model. Having a passion for people and caring deeply for the environment is not only part of Brunel’s DNA but is also reflected in our culture and values. As a global company, we take our social responsibility very seriously.
Do you have any questions about this vacancy ?
BJ
Babu Harishchandra Jadhav