Data Analytics Job Placement Course...

In Cork; Doncaster; On-site; GBP 40,000 - 60,000; Full time

Job description

• Data Analytics Job Placement Course Doncaster ...

Showing 15 Data Analytics Job Placement Course Doncaster jobs in Doncaster

Data Analytics Job Placement Course (Doncaster)

Data Analyst Course Programme Job Guarantee Included.

Complete online training designed to take you from zero experience to your first data analyst role. Study part‑time, build fundamental skills, and get dedicated job placement support until you’re hired.

Flexible financing options available, with payment plans starting from as low as 142 per month.

Programme

Complete this 10‑week online training with just 10‑15 hours per week of study time. You’ll learn industry‑standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects.

The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions.

Outcome

93% of graduates secure data analyst roles within 3 months.

Starting salaries: 28,000 38,000

Who This Is For

The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace.

*This programme is available to UK‑based learners only.

Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

Is this job a match or a miss?

Data Analysis Starter Course (Doncaster)

Data Analyst Course Programme Job Guarantee Included.

Complete online training designed to take you from zero experience to your first data analyst role. Study part‑time, build fundamental skills, and get dedicated job placement support until you’re hired.

Flexible financing options available, with payment plans starting from as low as 142 per month.

Programme

Complete this 10‑week online training with just 10‑15 hours per week of study time. You’ll learn industry‑standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects.

The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions.

Outcome

93% of graduates secure data analyst roles within 3 months.

Starting salaries: 28,000 38,000

Who This Is For

The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace.

*This programme is available to UK‑based learners only.

Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

Is this job a match or a miss?

Data Analysis Starter Course - Job Guarantee Included (Doncaster)

Data Analyst Course Programme Job Guarantee Included.

Complete online training designed to take you from zero experience to your first data analyst role. Study part‑time, build fundamental skills, and get dedicated job placement support until you’re hired.

Flexible financing options available, with payment plans starting from as low as 142 per month.

Programme

Complete this 10‑week online training with just 10‑15 hours per week of study time. You’ll learn industry‑standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects.

The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions.

Outcome

93% of graduates secure data analyst roles within 3 months.

Starting salaries: 28,000 38,000

Who This Is For

The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace.

*This programme is available to UK‑based learners only.

Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

Our client, a forward‑thinking financial services firm based in Sheffield, South Yorkshire, UK, is looking for ambitious and motivated individuals to join their prestigious Advanced Apprenticeship program in Data Analytics. This is an unparalleled opportunity for bright minds looking to launch a career in a rapidly growing and in‑demand field. Over the course of this structured apprenticeship, you will gain hands‑on experience and comprehensive training in data collection, cleaning, analysis, visualization, and interpretation. You will work alongside experienced data professionals, contributing to real‑world projects that drive business insights and decision‑making. This program is designed to equip you with the essential technical skills and theoretical knowledge required to excel as a data analyst. You will learn to use industry‑standard tools and software, develop your problem‑solving abilities, and understand the principles of data governance and ethics. The apprenticeship combines on‑the‑job training with dedicated study time, leading to a recognised qualification. We are looking for individuals who are passionate about data, possess strong quantitative and logical reasoning skills, and have a keen desire to learn and develop within a supportive team environment. Successful completion of this apprenticeship can lead to exciting career progression opportunities within the company.

Program Highlights:

• Gain practical experience in data manipulation, analysis, and reporting.
• Learn to utilise powerful data analytics tools and programming languages (e.g., SQL, Python, R, Excel).
• Develop skills in data visualization to present findings effectively.
• Understand database management and data warehousing concepts.
• Work on challenging projects that have a direct impact on business strategy.
• Receive mentorship from experienced data professionals.
• Undertake formal training leading to a Level 3 or Level 4 qualification in Data Analytics (e.g., Data Analyst Apprenticeship Standard).
• Develop essential soft skills such as communication, teamwork, and problem‑solving.

Who We Are Looking For:

• Individuals aged 16+ with a strong academic background (e.g., Level 2 or 3 qualifications in Maths, IT, or Science, or equivalent).
• A genuine interest in data and technology.
• Strong numerical and analytical aptitude.
• Excellent problem‑solving skills and attention to detail.
• Good communication and interpersonal skills.
• Ability to work effectively both independently and as part of a team.
• A proactive attitude and a willingness to learn.
• Right to work in the UK.
• Candidates with prior coding experience or data‑related projects are encouraged but not essential.
• Commitment to completing the full duration of the apprenticeship program.

Is this job a match or a miss?

Data Analysis Starter Course (Sheffield)

Data Analyst Course Programme Job Guarantee Included.

Complete online training designed to take you from zero experience to your first data analyst role. Study part‑time, build fundamental skills, and get dedicated job placement support until you’re hired.

Flexible financing options available, with payment plans starting from as low as 142 per month.

Programme

Complete this 10‑week online training with just 10‑15 hours per week of study time. You’ll learn industry‑standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects.

The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions.

Outcome

93% of graduates secure data analyst roles within 3 months.

Starting salaries: 28,000 38,000

Who This Is For

The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace.

*This programme is available to UK‑based learners only.

Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

Senior Data Scientist (Geospatial Analytics)

Our client is seeking a highly skilled and innovative Senior Data Scientist with expertise in Geospatial Analytics to join their cutting‑edge research team. This is a fully remote, full‑time position, ideal for a self‑motivated professional who thrives on complex data challenges. You will be instrumental in leveraging advanced data science techniques and geospatial tools to extract valuable insights from large datasets, contributing to significant advancements in the mining sector. Your work will directly influence strategic decision‑making and operational efficiency.

Key Responsibilities

• Develop and implement advanced geospatial analysis models to identify patterns, trends, and anomalies in large datasets.
• Design, build, and maintain scalable data pipelines for collecting, processing, and analysing geospatial data.
• Apply machine learning algorithms and statistical methods to solve complex problems related to resource exploration, environmental monitoring, and operational optimisation.
• Collaborate with geologists, engineers, and other domain experts to understand their data needs and deliver actionable insights.
• Visualise and communicate complex findings to both technical and non‑technical audiences using compelling dashboards and reports.
• Stay abreast of the latest advancements in data science, machine learning, and geospatial technologies.
• Develop and document methodologies, algorithms, and code.
• Contribute to the strategic direction of data science initiatives within the organization.
• Ensure data quality, integrity, and security in all analytical processes.
• Mentor junior data scientists and contribute to knowledge sharing within the team.

Qualifications

• Master’s or PhD in Data Science, Computer Science, Geospatial Information Science, Statistics, or a related quantitative field.
• Minimum of 6 years of experience as a Data Scientist, with a strong specialization in geospatial data analysis.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., GeoPandas, SciPy, Scikit‑learn).
• Expertise in geospatial software and tools (e.g., ArcGIS, QGIS, PostGIS) and concepts (e.g., spatial statistics, remote sensing).
• Strong understanding of machine learning techniques (supervised and unsupervised learning, deep learning).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Excellent analytical, problem‑solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to translate technical concepts into business value.
• Experience in the mining industry is highly advantageous.
• Proven ability to work independently and manage complex projects in a remote setting.

This is a premier opportunity to apply your expertise in data science and geospatial analysis to impactful challenges in the mining industry, remotely supporting operations related to Sheffield, South Yorkshire, UK.

Remote Data Scientist – FMCG

Our client, a globally recognised leader in the Fast‑Moving Consumer Goods (FMCG) sector, is actively seeking a talented and innovative Remote Data Scientist to join their burgeoning analytics team. This is a fully remote position, allowing you to contribute your expertise from anywhere within the UK. You will play a crucial role in transforming vast datasets into actionable insights that drive strategic business decisions, optimise product development, enhance marketing campaigns, and improve supply chain efficiency. Your responsibilities will span the entire data science lifecycle, from data acquisition and cleaning to model development, validation, and deployment. You’ll leverage advanced statistical techniques and machine learning algorithms to uncover trends, predict consumer behaviour, and identify new market opportunities. This role demands a strong command of programming languages like Python or R, coupled with extensive experience in SQL for data extraction and manipulation. You will work with stakeholders across various departments, including marketing, sales, and product innovation, to understand their data needs and deliver tailored analytical solutions. The ability to communicate complex technical findings in a clear, concise, and compelling manner to non‑technical audiences is paramount. We are looking for individuals who are passionate about data, possess a curious mind, and thrive in a collaborative, fast‑paced environment.

Key Responsibilities

• Develop and implement predictive models for sales forecasting, customer segmentation, and churn analysis.
• Design and execute A/B tests to evaluate the effectiveness of marketing initiatives and product changes.
• Build dashboards and reports to visualise key performance indicators and provide ongoing business intelligence.
• Collaborate with product teams to analyse consumer feedback and inform product improvements.
• Identify opportunities for data‑driven optimisation across the supply chain and operational processes.
• Clean, process, and transform large, complex datasets from various sources.
• Stay abreast of the latest advancements in data science, machine learning, and AI.
• Present findings and recommendations to senior management and cross‑functional teams.
• Contribute to the development of a data‑driven culture within the organisation.
• Ensure data quality and integrity throughout all analytical processes.

Qualifications

• Master’s or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience in data science or a similar analytical role, preferably within the FMCG industry.
• Expertise in Python or R, including relevant data science libraries (e.g., Pandas, Scikit‑learn, TensorFlow, PyTorch).
• Proficient in SQL and experience with database management systems.
• Strong understanding of statistical modelling, machine learning algorithms, and experimental design.
• Experience with data visualisation tools (e.g., Tableau, Power BI).
• Excellent communication, presentation, and interpersonal skills.
• Ability to work independently and manage multiple projects simultaneously in a remote setting.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

Senior Data Scientist – Sports Analytics

Join a leading sports analytics firm in Sheffield, South Yorkshire, UK, as a Senior Data Scientist specialising in sports performance. This remote‑first role offers an exceptional opportunity to leverage cutting‑edge data science techniques to uncover insights that drive team strategy, player development, and fan engagement. You will work with vast datasets from various sports, applying advanced statistical modelling, machine learning, and predictive analytics to solve complex problems and deliver actionable recommendations to our clients, which include professional sports teams and leagues worldwide. This position requires a blend of strong analytical skills, deep technical expertise, and a genuine passion for sports.

Key Responsibilities

• Develop and implement advanced statistical models and machine learning algorithms to analyse sports performance data (e.g., player tracking, game statistics, biomechanics).
• Extract, clean, and transform large, complex datasets from diverse sources.
• Build predictive models to forecast player performance, identify injury risks, or optimise game strategies.
• Collaborate with sports analysts, coaches, and clients to understand their needs and translate them into data science problems.
• Design and conduct A/B tests and experiments to evaluate the impact of different interventions.
• Visualise data and communicate complex findings clearly and concisely to both technical and non‑technical audiences through reports, dashboards, and presentations.
• Stay abreast of the latest research and advancements in data science, machine learning, and sports analytics.
• Contribute to the development of proprietary analytical tools and platforms.
• Mentor junior data scientists and contribute to the team’s knowledge sharing.
• Ensure data privacy and security best practices are maintained.

Ideal candidate profile

Master’s or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field, with a minimum of 5 years of professional experience in data science, preferably with a focus on sports analytics. Strong programming skills in Python or R, along with experience in relevant libraries (e.g., Pandas, NumPy, Scikit‑learn, TensorFlow/PyTorch), are essential. Proficiency in SQL and experience working with large datasets and cloud platforms (e.g., AWS, Azure, GCP) are required. Excellent understanding of statistical modelling and machine learning techniques is a must. Strong communication and presentation skills are critical for explaining complex results to diverse stakeholders. Given this is a remote role, you must be highly self‑motivated, organised, and able to work effectively in a distributed team environment, supporting clients globally and our base in Sheffield, South Yorkshire, UK.