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Associate Project Director - MEP - (Private Sector)
London, England, United Kingdom · On-site
Senior+
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Full-time
postgraduate degree
Flexible working options, Paid parental leave, Retirement benefits
Posted 5d ago
Apply by Aug 14
~40 hrs/week
Responsibilities
You will build scalable, impactful data science products using statistical and machine learning algorithms while collaborating with cross-disciplinary teams. Additionally, you will provide actionable business insights, advocate for best practices, and mentor team members.
Requirements
Candidates must hold an MSc or PhD in a quantitative field and possess hands-on experience in productionizing scalable data science products. Proficiency in object-oriented programming languages and advanced SQL is required, along with strong stakeholder management skills.
Full job description
Entity:
Technology
Job Family Group:
IT&S Group
Job Description:
Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner!
Responsibilities
Part of a cross-disciplinary team, working closely with other data scientists, data engineers software engineers, data managers and business partners.
Build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.
Carry out data analyses to yield actionable business insights.
Adhere to and advocate for data science best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation).
Present results to peers and senior management.
Actively contribute to improve developer velocity.
Mentor and lead team of data scientist and data engineers.
Essential Qualifications
MSc or PhD degree or equivalent experience in a quantitative field.
Hands-on experience designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments.
Applied knowledge of data science tools and approaches across all data lifecycle stages.
Thorough understanding of underlying mathematical foundations of statistics and machine learning.
Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++)
Advanced SQL knowledge.
Knowledge of experimental design and analysis.
Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail.
Strong stakeholder management and ability to lead large organizations through influence.
Continuous learning and improvement mindset.
Desired
Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus.
No prior experience in the energy industry required.
Why join us?
At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity.
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, 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.
Reinvent your career as you help our business meet the challenges of the future.Apply now!
Travel Requirement
Up to 10% travel should be expected with this role
Relocation Assistance:
This role is not eligible for relocation
Remote Type:
This position is a hybrid of office/remote working
Skills:
Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving
.


Legal Disclaimer:
We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, 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.
Related keywords
Data ScienceMachine LearningStatisticsPythonGoJavaC++SQLHadoopHiveSparkBig DataSoftware EngineeringData EngineeringExperimental DesignTechnical Design
Delivering energy to the world, today and tomorrow.
Industry
Oil and Gas
Company size
10,001+ employees
Founded
1909
Headquarters
London, England
LinkedIn followers
4,297,189
Total funding
$13B
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