AI ML Consultant - London UK
AI ML Consultant - London UK
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Job Description
Job Family:
Management Consulting
Travel Required:
Clearance Required:
Our Guidehouse Energy Providers practice is collaborating with leaders in energy and utility clients to successfully navigate the energy transition. We work across value chains creating decarbonisation strategies and help drive forward solutions like renewable generation green gases and hydrogen demand response/flexibility smart grids Carbon Capture and Storage and the related infrastructures.
To consistently bring highest value to our clients we work in a uniquely collaborative model integrating insights from our industry and policy and regulation teams.
Supporting our clients on their energy transition is dependent upon our ability to bring together a wide range of capabilities and skills. We are looking to hire exceptional people with diverse backgrounds and experiences with a passion for making the energy transition a is important to us that all employees uphold Guidehouses values of respect integrity innovation stewardship and excellence and are supportive of our culture of inclusion & diversity.
What You Will Do:
Use existing skills and develop new skills to:
Clean and analyse large and complex realworld data sets using advanced analytics to provide insights across a variety of application in the energy sector (electricity has networks) or inputs to machine learning models.
Develop train and iterate model and systems making use of various forms of machine learning (e.g. Maintain iterate and scale up developed machine learning models.
Perform assessments of existing systems data quality and data governance to provide recommendations based on best practices.
Collaborate with teams across business and support functions (e.g. IT) to effectively develop novel digital solutions.
Additional activities could include:
Aid in business development through contributing to the development and/or presentation of ideas for novel digital solutions within the energy sector both internally and externally.
Assist with project management activities for a variety of technologybased projects.
What You Will Need:
Education and Experience:
Masters Degree in Data Science Computer Science Engineering Physics (or other discipline with a large Data Science component)
Minimum 1 (ONE) or more years of experience working on Machine Learning Modelling and/or Data Science (including internships and Masters work)
OR
Bachelors Degree in Data Science Computer Science Engineering Physics (or other discipline with a large Data Science component).
Minimum 2 (TWO) years of experience working on Machine Learning Modelling and/or Data Science (including internships and university projects)
Technical Skills:
Proficient in programming in Python.
Proficient in performing advanced statistical analyses on large data sets including realworld data sets containing inaccuracies or incomplete noisy or sparse data.
Right to remain and work in the UK e.g. UK Passport EU Settled Status Indefinite Leave to Remain.
What Would Be Nice to Have:
Knowledge of deep machine learning algorithms (e.g. CNN LSTM RNN GANS GNN Autoencoder Transformer Deep Belief Network etc.
Experience with and proficiency in Python programming and using source code version control technologies (e.g. Git)
Working with established machine learningbased model development libraries/packages (e.g. TensorFlow OpenAI Gym Numpy Scipy Scikitlearn Theano Keras PyTorch Pandas Matplotlib etc.
Experience with projects of varying degrees of complexity with multiple unknowns.
Experience with working in teams to produce highimpact work products reports and other deliverables in a fastpaced environment
Strong oral and written communication skills and the ability to simplify complex topics and tailor key messages to a range of audiences.
Heightened attention to detail and the ability to create and edit technical and nontechnical written work products and graphical presentations
Experience planning and executing endtoend technology implementations and documenting associated risks.
What We Offer:
Guidehouse offers a comprehensive total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
About Guidehouse
Guidehouse is an Equal Opportunity EmployerProtected Veterans Individuals with Disabilities or any other basis protected by law ordinance or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities or to apply for a position and you require an accommodation please contact Guidehouse Recruiting ator via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @ or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse please report the matter to Guidehouses Ethics Hotline. If you want to check the validity of correspondence you have received please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicants dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Required Experience:
Contract
Employment Type
Full-Time
