Middle Data Scientist at Exadel Inc (Website)

Wilkowice, Silesian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

21 Apr, 26

Salary

0.0

Posted On

21 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, BigQuery, Redshift, Oracle, Agile, Predictive Analytics, Anomaly Detection, Time Series Forecasting, SQL, Statistics, Probability, Quantitative Reasoning, TensorFlow, Scikit-learn, Spark, Airflow

Industry

Software Development

Description

Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client An international consulting firm that helps companies of all sizes have a better impact on the world. Company capabilities focus on supporting the private and public sectors with their people, processes, and digital technology challenges. What You’ll Do Build predictive models for trade execution, risk assessment, and market movement forecasting Develop and test machine learning algorithms on real-time and historical financial data Work with large-scale datasets using BigQuery, Redshift, and Oracle Collaborate with engineering and quant teams to integrate models into live trading environments Use tools like Python, TensorFlow, scikit-learn, Spark, and Airflow to build and deploy models Participate in Agile ceremonies, story-pointing, and sprint reviews What You Bring Proficient in Python for data analysis and modelling (pandas, NumPy, scikit-learn, etc) Experience building models in financial domains (e.g. predictive analytics, anomaly detection, time series forecasting) Familiarity with cloud data platforms: GCP (BigQuery, Vertex AI) and/or AWS (S3, SageMaker) Solid understanding of SQL and relational databases (Oracle preferred) Exposure to model validation, backtesting, and deployment pipelines Strong statistics, probability, and quantitative reasoning skills Nice to Have Familiarity with alternative data (news sentiment, social media, satellite data) Experience with high-frequency or algorithmic trading models Knowledge of Kubernetes or containerised ML deployment pipelines Experience with MLOps tools (MLflow, Vertex AI Pipelines, etc) Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Responsibilities

The role involves building predictive models for trade execution, risk assessment, and market movement forecasting. Additionally, the candidate will collaborate with engineering and quant teams to integrate models into live trading environments.