Data Scientist leveraging data analytics and machine learning to improve fraud detection systems at Barclays. Collaborating with stakeholders to enhance operational efficiency and strategic decision - making.
About the role
- Lead Data Science initiatives within Just a Little Data. Oversee technical direction and team collaboration for data-driven solutions.
Responsibilities
- Lead the Data Science function, setting technical direction, prioritizing requests and establishing development best practices;
- Work closely with Business Analytics and other data teams to ensure technical alignment, integrate solutions and advance the company’s analytical maturity;
- Serve as a technical reference across different Data Science approaches, supporting the team in choosing methods, modeling and solution architectures;
- Structure, evolve and maintain internal libraries and tools used by the Data Science team;
- Actively participate in the creation of technical proposals for new clients, translating business problems into analytical solutions and data models;
- Act as a bridge between technical teams and business stakeholders, ensuring clear communication about scope, risks, timelines and technical limitations;
- Foster a collaborative environment, supporting the team’s technical development and encouraging knowledge sharing and autonomy;
- Contribute to team well-being by supporting members with day-to-day technical and organizational challenges;
- Support the structuring of processes, documentation and standardization of Data Science deliverables;
- Work hands-on in strategic or critical projects, providing technical support to the team during high-complexity tasks or tight deadlines;
- Assess technical feasibility, risks and schedule impacts, clearly communicating limitations and trade-offs to stakeholders;
- Mediate between business expectations and the team’s technical capacity, balancing quality, timelines and sustainability of deliveries.
Requirements
- Solid experience in technical leadership or coordination of Data Science teams;
- Practical knowledge across multiple Data Science areas, including:
- Time series models
- Computer vision
- Graphs and complex relational modeling
- Parallel and/or distributed programming
- Multimodal models
- Fundamentals of NLP and natural language processing
- Clustering and segmentation models
- Attribution models such as Markov chains
- Experience developing, organizing and maintaining internal data libraries or frameworks;
- Experience preparing technical proposals and defining analytical solutions for clients or business areas;
- Ability to translate complex technical concepts for non-technical audiences;
- Experience working with multiple stakeholders and areas with different levels of analytical maturity;
- Familiarity with growing data environments or environments undergoing process structuring;
- Prior experience acting both as a technical leader and hands-on executor, able to switch between strategic oversight and practical implementation;
- Skill in managing stakeholder expectations, negotiating scope, timelines and priorities transparently;
- Strong sense of ownership for the team’s deliverables, with a proactive attitude toward problem-solving and risk mitigation.
Benefits
- Company laptop for employees based in São Paulo, or an infrastructure allowance (for use with a personal laptop) for those outside São Paulo;
- 13th salary (annual 13th-month pay);
- 30-day paid leave plus an additional one-third of the monthly salary as a bonus (benefit granted after 1 year of employment);
- SulAmérica Health Insurance (copayment only if services are used);
- Life insurance;
- Meal allowance on a Flash card (usable via credit/debit) available at vendors with CNPJ for food services (e.g., restaurants, supermarkets and delivery apps);
- On your birthday: day off + additional credit on the Flash card;
- SulAmérica Dental Insurance - optional plan;
- Fitness benefit – TotalPass;
- Education support – monthly reimbursement for courses and training (subject to internal policy);
- Office with a pleasant environment and an on-site bistro-style restaurant (you’re always welcome to use it, even for remote roles).
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Location requirements
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