The Job

CODA Graduate Data Scientist

Technology, Data & Digital · Data, AI & Analytics · Data Science

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In short

Atlas Copco is seeking a Graduate Data Scientist to join the CODA team, focusing on developing advanced analytics and AI for their group-wide reporting platform. The role involves anomaly detection, predictive analysis, and supporting business decision-making through practical analytical solutions. This is a hybrid role based in the UK with support from a Senior Data Scientist.

Responsibilities

  • Analyze CODA datasets to identify unusual trends, data quality issues, reporting risks and potential business drivers.
  • Collaborate with Product Owner, business SMEs, controllers, data engineers and BI developers to translate reporting challenges into practical analytical solutions.
  • Build, apply and maintain statistical and machine learning models for CODA use cases, with an initial focus on anomaly detection across Sales and Finance transactional data.
  • Support automation of recurring analytical checks for reporting cycles such as month-end close, using Python, SQL, and Databricks workflows.
  • Document model logic, assumptions, limitations, controls and validation results.
  • Provide clear explanations of analytical outputs to both technical and non-technical stakeholders.
  • Work with CODA data engineers to prepare data, validate inputs and support operationalisation in Databricks.
  • Define and test model features, thresholds, scoring logic and validation methods.

Requirements

  • Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Finance, or a related quantitative field.
  • 0-2 years of experience in data analytics, machine learning, or predictive modelling.
  • Exposure to forecasting techniques such as ARIMA, SARIMA, Prophet, Exponential Smoothing, XGBoost, Random Forest, LSTM, Temporal Fusion Transformers, or similar time series models.
  • Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL for data analysis, data preparation, and model development.
  • Understanding of statistical concepts, exploratory data analysis, feature engineering, and model evaluation techniques.
  • Experience working with structured datasets and performing data cleaning, transformation, and validation.
  • Familiarity with data visualization tools such as Power BI, Tableau, or similar platforms.
  • Strong analytical and problem-solving skills with an ability to interpret data and generate actionable insights.
  • Good communication skills with the ability to explain analytical findings to both technical and non-technical stakeholders.
  • Eagerness to learn new technologies, machine learning techniques, and forecasting methodologies.

Desired Qualifications

  • Sales, Finance or controlling domain exposure is a key advantage.
  • Experience with sales or financial business big data.
  • Experience of scrum agile way of working.
  • Academic, internship or project experience in anomaly detection, time-series analysis, forecasting or predictive modelling.
  • Familiarity with cloud platforms such as Azure, AWS, GCP or Databricks.
  • Exposure to ML frameworks such as Scikit-learn, TensorFlow, PyTorch, or similar tools.
  • Understanding of data engineering fundamentals, ETL processes, and data pipelines.
  • Exposure to MLOps tools and practices such as MLflow, Docker, Git, or CI/CD pipelines.
  • Exposure to GenAI and LLM-based solutions for automated insights, reporting, or data analysis.
  • Knowledge of ERP systems such as SAP, Oracle, or Dynamics 365.
  • Hands-on experience through projects, internships, or coursework in developing forecasting models and analyzing time-dependent data, including trends, seasonality, and business drivers.
  • Ability to evaluate forecast accuracy using metrics such as MAE, RMSE, MAPE, or similar measures.

Benefits

  • Culture of trust and accountability
  • Lifelong learning and career growth
  • Innovation powered by people
  • Comprehensive compensation and benefits
  • Health and well-being
#Data Science#Analytics#AI#Machine Learning#Reporting
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Company

Atlas Copco

Job Posted

6 days ago

Expires

in 5 days

Employment Type

Full Time

WorkMode

Hybrid

Experience Level

Entry

Locations

Hemel Hempstead, United Kingdom

Deeside, United Kingdom

Warrington, United Kingdom

Brno, Czechia

Pune, India

Antwerp, Belgium

Sweden

Qualification

Bachelor, Master

Applicants

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