Citibanamex – data scientist
about the role: if you want to improve your programming skills, gain experience on big data processing and train machine learning models this may interest you. With over 139 years in mexico, citibanamex is a leader in financial innovation, consistently ahead of the curve in consumer lending, with a deep commitment to serving our clients with high-quality financial products and services. Within the center of expertise (coe) of advance analytics, you will dive into a world where finance, risk management, business analytics, and data science intersect, offering an exciting and rewarding platform to kickstart your career while shaping the future of finance with a data-driven approach.
Responsibilities
work with large and complex datasets to develop comprehensive analysis from various data sources and categories (demographic, financial, credit bureau, transactional data, social media, digital, etc.) to understand relationships, patterns, and trends from data.
Develop statistical valuation and tracking methodologies for key initiatives to better understand consumer-product dynamics and contribute to the overall strategic decision‑making.
Leverage ai to improve the decision framework on critical decisions across the bank.
Participate in the development, automation, monitoring and improvement of predictive models and machine learning algorithms.
Requirements, skills and competencies
strong problem-solving and analytical skills and eagerness to learn new technologies and methods.
Currently enrolled as a final year student or recent graduate in actuarial science, mathematics, engineering, computer science, economics, or related quantitative field.
1+ years of academic/work experience in statistics, computer science and/or financial analysis.
Basic programming and statistical analysis skills (experience with python, spark, tableau, sql).
Technical knowledge in testing, sampling, predictive modelling, machine learning, object‑oriented programming is preferred but not mandatory.
Leadership and interpersonal skills to generate synergies with cross‑functional teams.
Self‑organized, collaborative, proactive and creative.
Excellent verbal and written communication skills in both english and spanish (english intermediate level).
Job family group and eeo statement
decision management – specialized analytics (data science/computational statistics) – full time. Citibanamex is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. View the eeo is the law poster. View the eeo is the law supplement. View the eeo policy statement. View the pay transparency posting.
Cognizant – data scientist
at cognizant we have an ideal opportunity for you to be part of one of the largest companies in the digital sector worldwide. We promote an inclusive culture, valuing different perspectives and providing career growth and development opportunities.
Hybrid role in any of our three locations: guadalajara, cdmx or monterrey.
Advanced english is a must.
Qualifications
possess a strong background in statistics and data analysis with proficiency in python.
Demonstrate expertise in gcp, vertex ai, bigquery and pyspark for advanced data processing and modeling.
Exhibit excellent problem‑solving skills and the ability to work independently and collaboratively.
Communicate effectively with both technical and non‑technical stakeholders to drive project success.
Responsibilities
develop and implement advanced machine learning models using google vertex ai to solve complex business problems.
Utilize bigquery to analyze large datasets and extract actionable insights that drive strategic decision‑making.
Apply pyspark for processing and analyzing big data efficiently ensuring high performance and scalability.
Collaborate with cross‑functional teams to integrate machine learning solutions into existing systems and workflows.
Design and implement artificial intelligence algorithms that improve operational efficiency and customer experience.
Provide technical expertise and guidance on best practices in data science and machine learning to junior team members.
Ensure data quality and integrity by implementing robust data validation and cleansing processes.
Communicate complex analytical concepts and results to non‑technical stakeholders in a clear and concise manner.
Stay updated with the latest advancements in data science and machine learning to continuously improve methodologies.
Work in a hybrid model balancing remote and in‑office work to maintain productivity and collaboration.
Joveo – data scientist
we are looking for a data scientist to join our cross‑functional pods. You will build and deploy state‑of‑the‑art nlp models (like sentencebert) and predictive algorithms to optimize job embeddings, occupation classification, and applicant forecasting.
What you’ll do
develop and fine‑tune language‑agnostic embedding models to process millions of job postings.
Work with transfer learning models and predictive techniques (xgboost, gradient boosting) to lower cost‑per‑applicant (cpa) for our clients.
Partner directly with product managers and software engineers in decentralized, semi‑autonomous pods to push code into production.
Identify opportunities to use ai/ml to eliminate bias in recruitment advertising.
What you bring
proven experience in building machine learning models, specifically in nlp and predictive analytics.
Proficiency in python and relevant libraries (numpy, pandas, scipy, gensim).
Experience with big data frameworks and deploying models into cloud environments.
A \"can‑do\" mindset and a passion for solving complex, real‑world problems.
Additional qualifications
experience building data‑driven or analytics‑focused applications.
Ability to work remotely in a distributed/offshore model.
Experience working with data visualization or analytics platforms.
Background supporting enterprise‑scale applications.
Financial services or insurance industry experience.
Experience working in an offshore/onshore delivery model.
Exposure to modern ui/ux best practices tied to data insights.
Day‑to‑day
build and support data‑driven front‑end applications using angular and react.
Partner with technical and business teams to support new technology initiatives.
Translate data and analytics requirements into usable, scalable interfaces.
Participate in code reviews and contribute to development best practices.
Support metlife's offshore/onshore delivery strategy and growth goals.
Insight global – data scientist (contract‑to‑hire)
insight global is seeking a data scientist for a top financial services client to support the growth of new technology initiatives. This individual will leverage a strong development background to build and support data‑driven applications that enable analytics, insights, and business decision‑making. The role will collaborate closely with distributed global teams and play a key part in advancing modern technology solutions aligned with long‑term organizational goals.
Hcltech – data scientist (full time permanent)
we are seeking an experienced data scientist to join our team as an individual contributor. The ideal candidate will have 7+ years of hands‑on experience applying statistical and machine learning techniques to real‑world problems, and a proven track record implementing generative ai solutions for multiple customers.
Mandatory skills
python: strong proficiency in python for data analysis, feature engineering, model development, and production‑ready experimentation.
Snowflake: proven experience using snowflake for analytics at scale (data exploration, feature datasets, and model‑ready pipelines), with strong sql fundamentals.
Generative ai: expertise implementing genai use cases end‑to‑end (e.g., rag, summarization, knowledge assistants, and workflow automation), including evaluation, guardrails, and operationalization for multiple customers.
Additional skills (nice to have)
claude code or codex: hands‑on experience using ai coding assistants to improve developer productivity, with the ability to apply best practices (code review, testing, reproducibility) to ensure quality and maintainability.
Machine learning: experience building and tuning supervised/unsupervised models, with a solid understanding of metrics, validation, and model interpretability.
Llm tooling & evaluation: familiarity with prompt engineering, retrieval strategies, offline/online evaluation, and monitoring approaches for llm applications.
Customer‑facing delivery: strong communication skills and experience working directly with customers to gather requirements, present findings, and drive adoption of ai solutions.
Soft skills
strong problem‑solving and team collaboration.
We offer
benefits above law (major and minor medical insurance, savings fund, grocery coupons, 12 days vacation).
Convenient office locations.
Great work environment.
Flexible dress code.
Mercedes‑benz – data systems engineer
objective: handling the design and construction of scalable management systems, ensuring that all data systems meet company requirements, and researching new uses for data acquisition.
Day to day (main tasks)
develop and maintain scalable data pipelines and build out new api integrations to support continuing increases in data volume and complexity.
Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data‑driven decision making across the organization.
Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
Drive innovation: stay up to date with the latest it technologies. Advise on the existing and potential impact of technology that could be applicable for: define company data assets (data models), spark, sparksql, hadoop file system, databricks, hivesql technologies to create data models and query the data.
Profile
previous experience: 5 – 7 years in similar positions.
Languages: advanced english.
Additional qualifications: experience designing, building, and maintaining data processing systems, desirable experience in the automotive industry.
Location: cdmx (santa fe).
Local contract applies.
Relocation assistance will not be provided for this position.
Diversity & inclusion statement
mercedes‑benz is committed to respecting human rights and building a better future by helping minds and the environment. We invest in people and their wellbeing. We create conditions for everyone to thrive. We do not discriminate based on race, religion, color, sex, age, disability, nationality, sexual orientation, gender identity or expression, or for any other reason covered under law.
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