Data Science Manager

Data Science Manager

Location: London

Career Level: Manager

Responsibilities

• Lead, motivate and inspire teams of Data Scientists
• Create bespoke machine learning solutions to model/solve problems and help develop the team
• Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics
• Understand business requirements and support the development of business cases
• Run discovery analytics to identify new and innovative opportunities
• Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects
• Devise reusable assets, solutions and develop best practices for current and future business problems
• Lead analytical discussions and influence analytical direction of client teams
• Communicate and provide guidance to senior client leadership and teams
• Contribute data science expertise to new sales activities
• Flexibility and mobility are required: spend time onsite with clients and partners to enable delivery of first‑class services

Qualifications

• Relevant work experience in data science, machine learning, and business analytics
• Practical experience in coding languages e.g. Python, R, Scala, etc. (Python preferred)
• Strong proficiency in database technologies e.g. SQL, ETL, No‑SQL, DW, and Big Data technologies e.g. PySpark, Hive, etc.
• Experience working with structured and unstructured data e.g. Text, PDFs, jpgs, call recordings, video, etc.
• Knowledge of machine learning modelling techniques and how to fine‑tune those models e.g. XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc.
• Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci‑kit learn, huggingface, etc.
• Must demonstrate the capacity to read, understand and implement new techniques in the field of machine learning as they emerge
• Experience of using Cloud technologies e.g. AWS, GCP or Azure
• Specialised visualisation techniques e.g. D3.js, ggplot, etc.
• Strong verbal/written communication & data presentation skills
• Set yourself apart: Ability to lead large projects and drive through to completion
• Mastery of problem solving and solutioning
• Proven history and background in statistics/mathematics/macroeconomics

Benefits

In addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days’ vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice.

Equal Opportunity Employer

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law.

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