Job Description
Data Science Manager – Location: London
Responsibilities
- Lead, motivate, and inspire teams of Data Scientists.
- Create bespoke machine learning solutions to model/solve problems and to 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.
Requirements
- Relevant work experience in data science, machine learning, and business analytics.
- Practical experience in coding languages such as Python, R, Scala, etc. (Python preferred).
- Strong proficiency in database technologies such as SQL, ETL, No-SQL, DW, and Big Data technologies such as PySpark, Hive, etc.
- Experience working with structured and unstructured data such as Text, PDFs, JPGs, call recordings, video, etc.
- Knowledge of machine learning modelling techniques and how to fine‑tune those models such as XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc.
- Experience using specialised machine learning libraries such as Fastai, Keras, Tensorflow, PyTorch, sci-kit learn, HuggingFace, etc.
- Demonstrated capacity to read, understand, and implement new techniques in the field of machine learning as they emerge.
- Experience using Cloud technologies such as AWS, GCP, or Azure.
- Specialised visualisation techniques such as D3.js, ggplot, etc.
- Strong verbal/written communication and data presentation skills.
Desired skills
- Ability to lead large projects and drive through to completion.
- Mastery of problem solving and solutioning.
- Proven history and background in statistics, mathematics, or macroeconomics.
Benefits
Competitive basic salary, 30 days vacation per year, gym subsidy, private medical insurance, and 3 extra days leave per year for charitable work. Flexibility and mobility are required to deliver this role, including onsite time with clients and partners.
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
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