Data Scientist

Whitehall Resources Ltd; United Kingdom; On-site; GBP 40,000 - 70,000; Full time

Job summary

A leading company is seeking a skilled Data Scientist with expertise in time series analysis and predictive modeling. The role involves analyzing large datasets, developing advanced statistical models, and collaborating with teams to enhance data-driven decision-making. Candidates should have experience with various data manipulation tools and strong problem-solving abilities.

Qualifications

• Expertise in data science and LLM use cases.
• Experience with time series analysis and forecasting.
• Proficient in using Python libraries for data manipulation.

Responsibilities

• Analyze and pre-process large-scale time series datasets.
• Develop statistical models and machine learning algorithms.
• Collaborate with teams to translate requirements into projects.

Skills

Data Analysis

Machine Learning

Problem-Solving

Data Visualization

Statistical Modelling

Collaboration

Education

Bachelor's or Master’s in Data Science

Statistics

Computer Science

Tools

Python

SQL

Pandas

NumPy

scikit-learn

Agile

Job description

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Data Scientist

Whitehall Resources are currently looking for Data Scientist.

This role will Inside of IR35, so you will be required to use FCSA Accredited Umbrella Company.

Key Requirements:

- We are seeking a skilled and experienced Data Scientist with expertise data scientists and LLM use cases and Data Engineering with Graph DB experience and Vector DB experience.
- As a Data Scientist, you will be responsible for analyzing large datasets, building predictive models, and extracting meaningful insights to drive informed decision-making.

Key Responsibilities:

- Analyse and pre-process large-scale time series datasets, identifying relevant variables and data cleansing requirements.
- Develop and implement advanced statistical models and machine learning algorithms to perform predictive analysis on time series data.
- Build and validate forecasting models to predict future trends, patterns, and anomalies in time series data.
- Collaborate with cross-functional teams to understand business requirements and translate them into actionable data science projects.
- Communicate findings and insights effectively to stakeholders, presenting complex concepts in a clear and concise manner.
- Stay up to date with the latest advancements in time series analysis, statistical modelling, and machine learning techniques.
- Collaborate with data engineers to optimize data pipelines and ensure efficient data processing for time series analysis.
- Contribute to the development and improvement of data science methodologies, tools, and frameworks.

Key Experience:

- The candidate should also have a strong understanding of data scientists and LLM use cases and Data Engineering with Graph DB experience and Vector DB experience.
- Proven experience in time series analysis and forecasting, preferably in a commercial or industrial setting.
- Strong proficiency in Python, including libraries such as Pandas, NumPy, and scikit-learn for data manipulation and modelling.
- Experience with machine learning algorithms.
- Proficient in data visualization techniques to effectively communicate insights from time series data.
- Strong problem-solving skills and ability to handle complex and unstructured data.
- Must be proficient in Agile methodologies, Excellent communication, and collaboration skills with the ability to collaborate effectively in fast-paced, cross-functional teams to deliver data-driven solutions iterative.
- Familiarity with SQL and experience in working with relational databases.
- Knowledge of data pre-processing techniques, feature engineering, and model evaluation metrics.

Desirable skills:

- Bachelor's or master’s degree in data science, Statistics, Computer Science, or a related field.
- Experience with cloud platforms and distributed computing frameworks, such as AWS, Azure, or Google Cloud.
- Familiarity with big data technologies, such as Apache Spark or Hadoop.
- Understanding of software development practices and version control systems, such as Git.
- Experience with GB energy industry.

All of our opportunities require that applicants are eligible to work in the specified country/location, unless otherwise stated in the job description.



Whitehall Resources are an equal opportunities employer who value a diverse and inclusive working environment. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity or expression, sexual orientation, national origin, pregnancy, disability, age, veteran status, or other characteristics.