JD attachedconsider salary as per market standardJOB PURPOSESpecialist, Group Digital Advanced Analytics & Data Science Solutions, combine domain expertise with interdisciplinary data science and data analytics skills to bring insights to todays most challenging energy decisions. The role will involve work on challenging data science and analytics problems across our oil & gas businesses, including upstream and downstream areas.Specialist, Group Digital Advanced Analytics & Data Science Solutions will play a key role in organizing and analyzing large amounts of both structured and unstructured data and providing insights and providing stakeholders with the right information to influence and tackle complex business challenges.4. KEY ACCOUNTABILITIES
Apply statistical analysis, pattern recognition, and machine learning - along with domain knowledge and subject-specific models - to solve science, engineering, and commercial problems.
Contribute to all stages of data modeling and analytics projects, including problem formulation, solution development, and product deployment:
Translate business-relevant scientific, engineering, and commercial problems into questions that may be addressed using data science and analytics
Design experiments and/or run simulations to generate new data in support of analytic studies
Retrieve and combine data from databases, and/or data lakes
Perform exploratory data analysis for quality control and improved understanding.
Rigorously and reproducibly build, analyze, and compare statistical and/or machine learning models.
Contextualize the results and synthesize them with existing knowledge and/or domain-specific models.
Deploy data-analytic products to end-users and/or document data-analytic results in technical reports.
IT Strategic & Tactical Planning
Coordinate with the business and IT management to ensure that the Advanced Analytics & Data Science solutions related IT strategy components are successfully translated into solutions and services.
Contribute to the regular review of the Group IT Strategy at pre-defined intervals to ensure that it reflects the concerned directorates business requirements and ensures its constant alignment with the Company's short, medium, and long-term business plans.
Advanced Analytics & Data Science Solutions Delivery
Conduct the analysis, scope development, technical evaluations, and prototyping, developing, implementing, and delivering Solutions Delivery
Capture the business requirements related to the domain.
Support the verticals business users and beyond in line with pre-set SLAs and delivery guidelines.
Conduct the development, implementation and support of high quality and cost-effective solutions and services deemed critical to the business operations.
Ensure that the department meets the appropriate service level agreements established with internal and group users functions. Also, that the services delivered by the engaged external organizations are delivered within the agreed service levels.
Ensure that all deployed solutions have followed a comprehensive testing and quality assurance process, quality assurance reviews and have fulfilled the Group IT Unit services release process requirements.
Report to the management on the progress of assigned programs and projects against plans, in terms of schedule, resources and cost.
Ensure that all programs and projects are managed in compliance with the Projects Management Methodology and related standards.
Conduct systems\' pre-deployment activities
Assess business requirements and assists in designing business processes for small to large systems and implementations. Submit findings and recommendations for review, evaluation and approval by IT and Business management. Participates in feasibility studies of IT Programs undertaken within the unit wherever required.
Analyse functional requirements including input transactions, output reports, functional processes, etc. and recommends solutions and process improvements for user approval to establish functional specifications.
Perform impact analysis for new development to ensure synchronization and integration of cross functional business solutions and systems.
Support in the development of business cases and projects initiation documentations and artifacts.
Evaluate new solutions and services
Evaluate off-the-shelf packages to ascertain the degree of fitness with existing business processes and recommends appropriate solutions to business requirements.
Wherever required, develops the required interfaces between various solutions while ensuring systems and data availability, integrity, and service continuity.
Develop fit-for-purpose and secure software programs. Test them to ensure their fulfilment of business requirements and their compliance with Group IT standards and policies.
Receive, assess, and prioritize change requests from the existing IT services owners and users.
Document the IT solutions and services
In coordination with the enterprise and technology architects; prepare solutions design documents, data models, data flow diagrams and other system architecture artifacts.
Update the solutions documentation throughout the company systems development & support lifecycles in accordance with the Company standards on the subject.
Archive and keep available all as-build solutions documents and artifacts.
Act as an SME for the future domain specific implementations
Implement the best practices for all Advanced Analytics & Data Science Solutions and services implementations
Undertake the deployment of the required new software releases.
Provide the required training and support to users during and after deployment.
Other Duties
Ensure the deliverables are produced as planned.
Focus on agile and lean best practices for project delivery.
Participate in the studies and research on the evaluation of emerging technologies, product offerings, third party data analytics platforms.
All other duties as required.
Supervision
Plan, supervise and coordinate all activities in the assigned area to meet functional objectives.
Train and develop junior staff in relevant skills to enable them to become proficient on the job and deliver the respective business objectives.
Budgets
Provide input for preparation of the Function / Division / Department / Section budgets, assist in the implementation of the approved Budget, and work plans to deliver business objectives.
Investigate and highlight any significant variances to support effective performance and cost control.
Policies, Systems, Processes & Procedures
Implement approved Function / Division / Department / Section policies, processes, systems, standards and procedures in order to support execution of the work programs in line with Company and International standards.
Comply with all applicable regional legislation and regulations.
Performance Management
Contribute to the achievement of the approved Performance Objectives for the Function / Division / Department / Section in line with the Company Performance framework.
Innovation and Continuous Improvement
Design and implement new tools and techniques to improve the quality and efficiency of operational processes.
Identify improvements in internal processes against best practices in pursuit of greater efficiency in line with best industry standards in order to define intelligent solutions for issues confronting the function.
Health, Safety, Environment (HSE) and Sustainability
Comply with relevant HSE policies, procedures & controls and applicable legislation and sustainability guidelines in line with international standards, best practices
Reports
Provide inputs to prepare analytic reports for Company Management.
5. COMMUNICATIONS & WORKING RELATIONSHIPSInternal
Frequent contact with Data Group Digital Projects & Analytics Solutions senior staff / department managers for providing technical guidance and support.
External
Frequent contact with vendors, suppliers, and contractors.
Frequent contact with Companies for cooperative efforts with regard to data science and analytics requirements and initiatives.
Frequent contacts with other companies and suppliers professionals & staff for exchanging information and resolving problems.
Bachelor's degree in computer science (IT), Computer engineering or a related field with a specialization in Data science and analytics
Minimum Experience & Knowledge & Skills
9 years of IT Experience and minimum of 3+ years work experience in Data science, machine learning and data analysis.
Domain knowledge and experience in sectors such as Oil & Gas, Power, Transportation, Manufacturing is an advantage.
Experience in Power BI, Dataiku is required
Excellent communication skills and experience working in a collaborative environment are required.
Knowledge of numerical methods for linear algebra and optimization is an advantage.
Experience in technical software development is an advantage.
Experience of cloud computing platforms like Azure, AWS and familiarity with MLOPs is an advantage.
Professional Certifications - preferred
AWS Certified Machine Learning - specialty.
Professional Machine Learning Engineer by Google.
Azure AI Engineer Associate.
IBM Machine Learning Professional Certificate.
Microsoft Certified Power BI Data Analyst Associate
7. Technical Competencies
Strong fundamentals in data science and analytics.
Expert level competency in Python / R, SQL, Data collection, Data mining, Data-flow analysis
8. behavioural Competencies
Excellent interpersonal, communication, and organizational skills
Proven ability to form and maintain highly effective working relationships with all levels of seniority
Ability to work effectively in a team and with other groups
Excellent written and verbal communication skills - must be able to communicate fluently in English both verbally and in writing
Detail oriented - understands transactional activities sufficiently to help solve process performance problems and define actions to achieve performance improvement objectives