- Business sectors including Energy & Utilities, Banking, Insurance, Healthcare, Defence, Technology, and others.
- AI technologies: Machine Learning, Time series, Natural Language Processing, Generative AI, Computer Vision, Operational Research, Engineering, Data Marketing, Data Analytics
- 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 supportive atmosphere, where innovation and initiative are encouraged.
- A commitment to diversity, inclusion and employee well-being.
- Opportunities to flex your intellectual and creative muscles.
- Welcoming, friendly and professional colleagues.
- 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
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Data Science Manager - London, United Kingdom - Sia Partners
Description
Job description
The global Data Science capability at Sia Partners consists of + Data Scientists located across Europe, North-America and Asia. You will join the growing UK & Ireland Data science team. Based in London, it aims at covering activities across both GB and Ireland. Our company excels in combining sectorial expertise from our Strategy & Management Consulting arm, with cutting-edge capabilities in AI and Datascience techniques and technologies.
You will therefore operate closely with business and Datascience experts covering
(For more information about our Data Science practice, visit our bots showroom :
Qualifications
Additional information
You can expect...
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.