Data Science Manager
2 weeks ago
Job Description Sia Partners is a next-generation consulting firm focused on delivering superior value and tangible results to clients as they navigate the digital revolution. Our global footprint and expertise in more than 40 sectors and services allow us to enhance our clients' businesses worldwide. We guide their projects and initiatives in strategy, business transformation, IT & digital strategy, and Data Science.Sia Partners comprises of 3000+ consultants with diverse expertise, and operates from 39offices worldwide across Asia, North Africa, North America, and Australia, in addition to Europe and the United Kingdom.
In UK& I, Sia Partners provides expert advisory services on strategy & execution, innovation, operational performance & cost reduction, cyber & data security, efficientorganisation, transformation & change management, HR performance, and IT performance.
The global Data Science capability at Sia Partners consists of 300+ Data Scientists located across Europe, North-America and Asia. You will join the growing UK & Ireland Data science team. Our company excels in combining sectorial expertise from our Strategy & Management Consulting arm, with cutting-edge capabilities in AI and Datascience techniques and technologies.
Machine Learning, Time series, Natural Language Processing, Generative AI, Computer Vision, Operational Research, Engineering, Data Marketing, Data Analytics
(For more information about our Data Science practice, visit our bots showroom :
As a Manager / Senior Manager, you will be responsible for…
Leading the delivery of Data Science projects, potentially working across several clients in the UK and Ireland and, if required, support overseas engagements.
Supporting business development activities, working with Sia Partner’s UK & Ireland Data science Lead, Business Units teams and Data Science centres from other locations, to develop proposals for potential opportunities.
Recognising opportunities for Sia Partners to expand their Data Science offering to existing clients.
Building and maintaining your own external professional peer networks and drive new revenue opportunities.
Supporting marketing campaigns and overall external positioning of Sia Partners across social networks.
Contributing to thought leadership, working on blogs and the development of Sia Partners ‘assets’ including methodology and tools.
Leading recruitment initiatives for the Data Science team and advising on positioning in the market.
Supporting the operational and Career Management of Data science consultants
Coaching and mentoring colleagues’ performance and development.
Applying Data Science solutions to complex business problems.
Willingness to take on responsibility on high-value projects with dynamic structures.
Excellence in statistics and quantitative analysis (theoretical and practical knowledge, intuition, ability to understand models and apply them).
Expert programming skills in one or more analytical languages such as Python; Experience in cloud-based infrastructures such as AWS, Google Cloud, Microsoft Azure and confidence in Linux (bash, git docker) environments.
Fluency in spoken and written English. Additional languages are nice to have.
Minimum Bachelor’s Degree (2:1) or international equivalent in a relevant subject: Data Science, Economics, Mathematics, Computer Science, Engineering or Business preferred.
Previous Experience in a Data / Datascience team from a consulting company is mandatory
A commitment to diversity, inclusion and employee well-being.
~ Opportunities to flex your intellectual and creative muscles.
~ A personal development plan with clear goals for advancement.
~ A meritocratic approach to promotion that rewards those who exceed expectations.
~ A competitive salary, in line with the market and your peers.
~ Flexible working arrangements.
~ A performance-related bonus.
~ Health and Life insurance.
~ An employer-matched contribution pension scheme.
~27 days holiday per year, plus Bank Holidays
Sia Partners is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.
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