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Staff Data Scientist

Appcast Enterprise
Job LocationLondon
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time Work from home

Job Description

Entity: Innovation & Engineering Job Family Group: IT&S Group Job Summary: Responsible for delivering business analysis and consulting activities for the defined specialism using advanced technical capabilities, building and maintaining effective working relationships with a range of stakeholders, ensuring relevant standards are definedand maintained, and managing process and system improvements to deliver business value. Specialisms: Business Analysis; Data Management and Data Science; Digital Innovation. 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 analysis 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 junior members of team and contribute to community of practice
Essential Qualifications
  • MSc or PhD degree in a quantitative field.
  • Hands-on experience (typically 8+ years) designing, planning, prototyping, productionizing, maintaining, and documenting reliable and scalable data science /ML Ops in complex environments
  • Deep applied knowledge of data science tools and approaches across all data lifecycle stage
  • Thorough understanding of underlying mathematical foundations of statistics and machine learning.
  • Advanced SQL knowledge.
  • Experience with big data technologies (e.g. Hadoop, Hive, and Spark)
  • Experience with at least one of the following: Chatbots, Goal-Directed Dialogue Models, Retrieval, Prompting and Finetuning techniques, NER, Model Inference Optimization
  • Advanced NLP knowledge, including knowing about the latest ideas and reading research papers and assessment
  • Experience with transformer-based models: GPT-2, BERT, T5, GPT-3, ChatGPT, GPT-4
  • Experience with DS stack: python, transformers, PyTorch, numpy, docker, git.
  • Writing production-ready code (tests, optimizations, etc.)
  • Strong communication skills, ability to collaborate with teammates and external partners
Desired Qualifications
  • AWS Sagemaker familiarity
  • Generative AI applications and use of NLP/LLM approved models
  • Awareness of Data Privacy & Security
At bp, we provide the following environment & benefits:
  • A company culture where we respect our diverse teams and are proud of our achievements
  • Possibility to join social communities and networks
  • A healthy work-life balance
  • Chill-out and collaboration spaces in a modern office environment
  • Learning and development opportunities to craft your career path
  • Life & health insurance, medical care package
  • And many others benefits!
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 background, neurodiversity/neurocognitivefunctioning, veteran status or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefitsand privileges of employment. Please contact us to request accommodations.Travel Requirement No travel is 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: Business Acumen, 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, Datavisualization and interpretation, Digital Security, Extract, transform and load, Problem Solving 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/neurocognitivefunctioning, veteran status or disability status.Individuals with disabilities may request a reasonable accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screeningsor interviews, etc.). If you would like to request an accommodation related to the recruitment process, pleasecontact usto request accommodations.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.

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