100 Digital Technologies jobs in Huddersfield
Data Scientist-Artificial Intelligence
Manchester, North West
IBM
Posted 10 days ago
Job Viewed
Job Description
**Introduction**
At IBM CIC, we deliver deep technical and industry expertise to a wide range of public and private sector clients in the UK.
A career in IBM CIC means you'll have the opportunity to work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio.
Curiosity and a constant quest for knowledge serve as the foundation to success here. You'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions which impact a wide network of clients, whom may be at their site or one of our CIC or IBM locations. Our culture of evolution centres on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
We offer:
- Many training opportunities from classroom to e-learning, mentoring and coaching programs and the chance to gain industry recognized certifications
- Regular and frequent promotion opportunities to ensure you can drive and develop your career with us
- Feedback and checkpoints throughout the year
- Diversity & Inclusion as an essential and authentic component of our culture through our policies and process as well as our Employee Champion teams and support networks
- A culture where your ideas for growth and innovation are always welcome
- Internal recognition programs for peer-to-peer appreciation as well as from manager to employees
- Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme
- More traditional benefits, such as 25 days holiday (in addition to public holidays), online shopping discounts, an Employee Assistance Program, a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future.
**Your role and responsibilities**
As a Data Scientist in Artificial Intelligence, you'll build upon your foundational skills and take on a more significant role in the design and development of AI solutions.
Responsibilities:
- Lead the design, development, and deployment of AI solutions using cutting-edge technologies, focusing on foundation models and large language models
- Collaborate with senior team members to define cognitive computing strategies and guide the full AI project lifecycle
- Conduct in-depth exploratory data analysis, feature engineering, and model selection for structured and unstructured data
- Utilize advanced analytics techniques, including NLP and ML, to extract insights and drive decision-making
- Mentor junior team members and promote knowledge-sharing within the team
Join our team and contribute to the development of groundbreaking AI solutions that drive business success. If you're passionate about pushing the boundaries of artificial intelligence and have a knack for solving complex problems, we'd love to hear from you.
**Required technical and professional expertise**
- Strong proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, or Keras
- In-depth understanding of foundation models and large language models
- Familiarity with cloud platforms (AWS, Azure, GCP) and related services
- Excellent communication, leadership, and problem-solving skills
- Proven track record of delivering AI solutions in a professional setting
As an equal opportunities' employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship and have no future plans to do so. You must be a resident in the UK and have been living continuously in the UK for the last 10 years. You must be able to hold or gain a UK government security clearance.
**Preferred technical and professional experience**
- Experience with generative AI models
- Knowledge of modern UI frameworks (Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, JQuery)
- Familiarity with relational and NoSQL databases (SQL, Postgres, DB2, MongoDB)
- Understanding of various operating systems (Linux, Windows, iOS, Android)
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
At IBM CIC, we deliver deep technical and industry expertise to a wide range of public and private sector clients in the UK.
A career in IBM CIC means you'll have the opportunity to work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio.
Curiosity and a constant quest for knowledge serve as the foundation to success here. You'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions which impact a wide network of clients, whom may be at their site or one of our CIC or IBM locations. Our culture of evolution centres on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
We offer:
- Many training opportunities from classroom to e-learning, mentoring and coaching programs and the chance to gain industry recognized certifications
- Regular and frequent promotion opportunities to ensure you can drive and develop your career with us
- Feedback and checkpoints throughout the year
- Diversity & Inclusion as an essential and authentic component of our culture through our policies and process as well as our Employee Champion teams and support networks
- A culture where your ideas for growth and innovation are always welcome
- Internal recognition programs for peer-to-peer appreciation as well as from manager to employees
- Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme
- More traditional benefits, such as 25 days holiday (in addition to public holidays), online shopping discounts, an Employee Assistance Program, a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future.
**Your role and responsibilities**
As a Data Scientist in Artificial Intelligence, you'll build upon your foundational skills and take on a more significant role in the design and development of AI solutions.
Responsibilities:
- Lead the design, development, and deployment of AI solutions using cutting-edge technologies, focusing on foundation models and large language models
- Collaborate with senior team members to define cognitive computing strategies and guide the full AI project lifecycle
- Conduct in-depth exploratory data analysis, feature engineering, and model selection for structured and unstructured data
- Utilize advanced analytics techniques, including NLP and ML, to extract insights and drive decision-making
- Mentor junior team members and promote knowledge-sharing within the team
Join our team and contribute to the development of groundbreaking AI solutions that drive business success. If you're passionate about pushing the boundaries of artificial intelligence and have a knack for solving complex problems, we'd love to hear from you.
**Required technical and professional expertise**
- Strong proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, or Keras
- In-depth understanding of foundation models and large language models
- Familiarity with cloud platforms (AWS, Azure, GCP) and related services
- Excellent communication, leadership, and problem-solving skills
- Proven track record of delivering AI solutions in a professional setting
As an equal opportunities' employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship and have no future plans to do so. You must be a resident in the UK and have been living continuously in the UK for the last 10 years. You must be able to hold or gain a UK government security clearance.
**Preferred technical and professional experience**
- Experience with generative AI models
- Knowledge of modern UI frameworks (Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, JQuery)
- Familiarity with relational and NoSQL databases (SQL, Postgres, DB2, MongoDB)
- Understanding of various operating systems (Linux, Windows, iOS, Android)
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
0
Graduate Trainee - Data Analytics
BD1 1AT Bradford, Yorkshire and the Humber
£25000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is a rapidly growing data analytics firm seeking enthusiastic and motivated Graduate Trainees to join their fully remote team. This is an exceptional opportunity for recent graduates looking to launch a career in data science and analytics, working on real-world projects from anywhere in the UK. You will be part of a supportive and collaborative environment, receiving extensive training and mentorship to develop your skills in data interpretation, visualization, and predictive modeling. This role offers a fantastic foundation for a successful career in this in-demand field.
As a Graduate Trainee, you will gain hands-on experience in data collection, cleaning, and transformation. You will learn to apply statistical techniques and machine learning algorithms to extract meaningful insights from large datasets. Your responsibilities will include creating compelling data visualizations, building reports, and presenting findings to both technical and non-technical stakeholders. You will work with various data tools and programming languages, such as Python, R, SQL, and Tableau, under the guidance of experienced data scientists. The program is designed to provide a comprehensive understanding of the data analytics lifecycle.
The ideal candidate will have recently graduated (or be in their final year) with a Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, Engineering, or a related discipline. A strong academic record and a genuine passion for data are essential. While prior professional experience is not required, internships or personal projects involving data analysis are a plus. You must possess excellent analytical and problem-solving skills, a keen eye for detail, and the ability to learn quickly. Strong communication skills, both written and verbal, are necessary for collaborating with team members and communicating insights effectively. This role is ideal for individuals who are eager to learn, develop new skills, and contribute to impactful data-driven solutions from their home base.
Key Responsibilities:
Qualifications:
As a Graduate Trainee, you will gain hands-on experience in data collection, cleaning, and transformation. You will learn to apply statistical techniques and machine learning algorithms to extract meaningful insights from large datasets. Your responsibilities will include creating compelling data visualizations, building reports, and presenting findings to both technical and non-technical stakeholders. You will work with various data tools and programming languages, such as Python, R, SQL, and Tableau, under the guidance of experienced data scientists. The program is designed to provide a comprehensive understanding of the data analytics lifecycle.
The ideal candidate will have recently graduated (or be in their final year) with a Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, Engineering, or a related discipline. A strong academic record and a genuine passion for data are essential. While prior professional experience is not required, internships or personal projects involving data analysis are a plus. You must possess excellent analytical and problem-solving skills, a keen eye for detail, and the ability to learn quickly. Strong communication skills, both written and verbal, are necessary for collaborating with team members and communicating insights effectively. This role is ideal for individuals who are eager to learn, develop new skills, and contribute to impactful data-driven solutions from their home base.
Key Responsibilities:
- Assist in data collection, cleaning, and preprocessing.
- Learn and apply statistical methods and machine learning techniques.
- Develop data visualizations and reports using BI tools.
- Collaborate with senior analysts on data projects.
- Gain proficiency in SQL, Python/R, and data visualization software.
- Participate in team meetings and contribute to discussions.
- Support the development of data models and analytical solutions.
- Enhance understanding of business domains through data analysis.
Qualifications:
- Recent graduate with a degree in a quantitative field.
- Strong analytical and problem-solving skills.
- Familiarity with programming languages (Python, R, SQL) is a plus.
- Enthusiasm for data and learning.
- Good communication skills.
This advertiser has chosen not to accept applicants from your region.
1
Graduate Data Scientist, Analytics
M1 1BN Manchester, North West
£25000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Our client is excited to offer an exceptional Graduate Data Scientist opportunity based in Manchester, Greater Manchester, UK . This is a fantastic entry-level position for ambitious graduates looking to launch their careers in data science and analytics within a fast-paced environment. You will be immersed in real-world projects, working alongside seasoned data professionals to extract, transform, and analyze complex datasets. Your primary focus will be on identifying trends, building predictive models, and generating actionable insights to drive business decisions. Responsibilities include data cleaning and preprocessing, developing statistical models, creating data visualizations, and presenting findings to stakeholders. You will gain hands-on experience with various data science tools and programming languages, such as Python, R, SQL, and machine learning libraries. The ideal candidate will possess a strong academic background in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline. A keen interest in data analysis, machine learning, and artificial intelligence is essential. Excellent problem-solving skills, attention to detail, and a proactive attitude are required. Strong communication skills are necessary to effectively convey complex technical information to both technical and non-technical audiences. This internship is designed to provide a comprehensive understanding of data science applications in a business context, offering mentorship and development opportunities.
Key Responsibilities:
Key Responsibilities:
- Assist in the collection, cleaning, and organization of large datasets.
- Develop and implement data models and algorithms.
- Perform statistical analysis and interpret results.
- Create insightful data visualizations and reports.
- Collaborate with senior data scientists on ongoing projects.
- Contribute to the development of machine learning solutions.
- Present findings and insights to project teams.
This advertiser has chosen not to accept applicants from your region.
2
Graduate Scheme - Data Analytics & Business Intelligence
LS1 1UR Leeds, Yorkshire and the Humber
£28000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Are you a recent graduate with a passion for data and a knack for uncovering insights? Our client is offering an exceptional Graduate Scheme opportunity in Leeds, West Yorkshire, UK , focusing on Data Analytics and Business Intelligence. This hybrid role provides a fantastic entry point into the professional world, combining structured training with real-world project involvement. Over the course of this program, you will gain comprehensive experience in data collection, cleaning, analysis, and visualization. You will learn to utilize industry-standard tools and technologies to transform raw data into actionable business intelligence, supporting strategic decision-making across various departments. Responsibilities include assisting senior analysts in data extraction and manipulation, developing reports and dashboards, identifying trends and patterns within datasets, and communicating findings to both technical and non-technical audiences. You will work on diverse projects, contributing to business improvements and problem-solving initiatives. The ideal candidate will hold a Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Economics, Computer Science, or a related discipline. Strong analytical and problem-solving skills are essential, along with proficiency in Microsoft Excel. Familiarity with data visualization tools (e.g., Tableau, Power BI) and programming languages like Python or R is a significant advantage. Excellent communication skills, a proactive attitude, and a willingness to learn are crucial for success. This graduate program is designed to fast-track your career, providing mentorship, professional development, and the opportunity to make a real impact within a supportive and innovative environment. Embrace this chance to launch your career in a field that is critical to modern business success.
This advertiser has chosen not to accept applicants from your region.
3
Data Engineer-Advanced Analytics
Manchester, North West
IBM
Posted 10 days ago
Job Viewed
Job Description
**Introduction**
At IBM CIC, we deliver deep technical and industry expertise to a wide range of public and private sector clients in the UK.
A career in IBM CIC means you'll have the opportunity to work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio.
Curiosity and a constant quest for knowledge serve as the foundation to success here. You'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions which impact a wide network of clients, whom may be at their site or one of our CIC or IBM locations. Our culture of evolution centres on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
We offer:
* Many training opportunities from classroom to e-learning, mentoring and coaching programs and the chance to gain industry recognized certifications
* Regular and frequent promotion opportunities to ensure you can drive and develop your career with us
* Feedback and checkpoints throughout the year
* Diversity & Inclusion as an essential and authentic component of our culture through our policies and process as well as our Employee Champion teams and support networks
* A culture where your ideas for growth and innovation are always welcome
* Internal recognition programs for peer-to-peer appreciation as well as from manager to employees
* Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme
* More traditional benefits, such as 25 days holiday (in addition to public holidays), online shopping discounts, an Employee Assistance Program, a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future.
**Your role and responsibilities**
Unleash your leadership potential as a Managing Data Engineer with Advanced Analytics expertise and drive the development of innovative advanced analytics solutions. In this role, you'll be responsible for leading the way in driving innovation, fostering a culture of continuous improvement, and nurturing the growth of junior engineers.
Join our Data Engineering team and make a significant impact on our clients' advanced analytics initiatives. Apply today and embark on an exciting journey in Data Engineering!
Responsibilities:
* Develop and lead cutting-edge advanced analytics solutions for complex business problems.
* Mentor junior data engineers, providing guidance and support in their professional development.
* Perform statistical analysis, data collection, data mining, and text mining.
* Design, build, and manage solutions for advanced analytics projects.
* Utilize predictive analytics tools (SPSS) to draw conclusions and present findings.
* Stay abreast of emerging advanced analytics trends and technologies, driving innovation within the organization
**Required technical and professional expertise**
* Extensive experience with data engineering principles and advanced analytics techniques.
* Proficiency in programming languages (Python, R, SQL).
* Experience with data manipulation and analysis tools (Pandas, NumPy, Dask).
* Strong leadership and communication skills.
* Ability to lead cross-functional teams and manage stakeholder expectations
As an equal opportunities' employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship and have no future plans to do so. You must be a resident in the UK and have been living continuously in the UK for the last 10 years. You must be able to hold or gain a UK government security clearance.
**Preferred technical and professional experience**
* Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
* Familiarity with big data technologies (Hadoop, Spark).
* Background in data science, IT consulting, or a related field.
* AWS Certified Big Data or equivalent.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
At IBM CIC, we deliver deep technical and industry expertise to a wide range of public and private sector clients in the UK.
A career in IBM CIC means you'll have the opportunity to work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio.
Curiosity and a constant quest for knowledge serve as the foundation to success here. You'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions which impact a wide network of clients, whom may be at their site or one of our CIC or IBM locations. Our culture of evolution centres on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
We offer:
* Many training opportunities from classroom to e-learning, mentoring and coaching programs and the chance to gain industry recognized certifications
* Regular and frequent promotion opportunities to ensure you can drive and develop your career with us
* Feedback and checkpoints throughout the year
* Diversity & Inclusion as an essential and authentic component of our culture through our policies and process as well as our Employee Champion teams and support networks
* A culture where your ideas for growth and innovation are always welcome
* Internal recognition programs for peer-to-peer appreciation as well as from manager to employees
* Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme
* More traditional benefits, such as 25 days holiday (in addition to public holidays), online shopping discounts, an Employee Assistance Program, a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future.
**Your role and responsibilities**
Unleash your leadership potential as a Managing Data Engineer with Advanced Analytics expertise and drive the development of innovative advanced analytics solutions. In this role, you'll be responsible for leading the way in driving innovation, fostering a culture of continuous improvement, and nurturing the growth of junior engineers.
Join our Data Engineering team and make a significant impact on our clients' advanced analytics initiatives. Apply today and embark on an exciting journey in Data Engineering!
Responsibilities:
* Develop and lead cutting-edge advanced analytics solutions for complex business problems.
* Mentor junior data engineers, providing guidance and support in their professional development.
* Perform statistical analysis, data collection, data mining, and text mining.
* Design, build, and manage solutions for advanced analytics projects.
* Utilize predictive analytics tools (SPSS) to draw conclusions and present findings.
* Stay abreast of emerging advanced analytics trends and technologies, driving innovation within the organization
**Required technical and professional expertise**
* Extensive experience with data engineering principles and advanced analytics techniques.
* Proficiency in programming languages (Python, R, SQL).
* Experience with data manipulation and analysis tools (Pandas, NumPy, Dask).
* Strong leadership and communication skills.
* Ability to lead cross-functional teams and manage stakeholder expectations
As an equal opportunities' employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship and have no future plans to do so. You must be a resident in the UK and have been living continuously in the UK for the last 10 years. You must be able to hold or gain a UK government security clearance.
**Preferred technical and professional experience**
* Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
* Familiarity with big data technologies (Hadoop, Spark).
* Background in data science, IT consulting, or a related field.
* AWS Certified Big Data or equivalent.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
4
Lead Data Scientist - Predictive Analytics
BD1 1AA Bradford, Yorkshire and the Humber
£70000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Our client is seeking a Lead Data Scientist to spearhead their efforts in predictive analytics and machine learning. This is a key role within our Scientific Research & Development department, based in Bradford, West Yorkshire, UK . You will be responsible for developing and implementing advanced statistical models and machine learning algorithms to extract valuable insights from large datasets. Your duties will include designing predictive models, conducting A/B testing, evaluating model performance, and translating complex findings into actionable business strategies. You will also mentor junior data scientists, collaborate with engineering teams to deploy models into production, and stay abreast of the latest advancements in data science.
The ideal candidate will hold a Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field, with a minimum of 5 years of experience in data science and predictive modeling. Proven expertise in machine learning algorithms, statistical modeling, and programming languages such as Python or R is essential. Experience with big data technologies (e.g., Spark, Hadoop) and SQL is also required. You should have a strong portfolio of successful data science projects, excellent analytical and problem-solving skills, and the ability to communicate technical concepts to non-technical stakeholders. Familiarity with cloud platforms (AWS, Azure, GCP) and data visualization tools is a plus. This role offers a remote working arrangement, providing flexibility and the opportunity to work with a highly motivated team on challenging data-driven problems.
The ideal candidate will hold a Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field, with a minimum of 5 years of experience in data science and predictive modeling. Proven expertise in machine learning algorithms, statistical modeling, and programming languages such as Python or R is essential. Experience with big data technologies (e.g., Spark, Hadoop) and SQL is also required. You should have a strong portfolio of successful data science projects, excellent analytical and problem-solving skills, and the ability to communicate technical concepts to non-technical stakeholders. Familiarity with cloud platforms (AWS, Azure, GCP) and data visualization tools is a plus. This role offers a remote working arrangement, providing flexibility and the opportunity to work with a highly motivated team on challenging data-driven problems.
This advertiser has chosen not to accept applicants from your region.
5
Senior Data Scientist - Accounting Analytics
S1 2DA Sheffield, Yorkshire and the Humber
£65000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client, a leader in financial technology, is seeking a highly experienced Senior Data Scientist to spearhead their advanced accounting analytics initiatives. This fully remote role offers a unique opportunity to leverage cutting-edge data science techniques to transform financial reporting and auditing processes. You will be responsible for developing and implementing predictive models, machine learning algorithms, and data visualization tools to extract actionable insights from vast accounting datasets. Your work will involve collaborating closely with accounting professionals, data engineers, and product managers to identify key business challenges and opportunities, design data-driven solutions, and ensure the integrity and accuracy of financial data analysis. We are looking for an individual with a strong foundation in statistical modeling, machine learning, and data manipulation, coupled with a solid understanding of accounting principles and financial reporting. The ideal candidate will possess a Master's or PhD in Data Science, Statistics, Computer Science, Finance, or a related quantitative field, with at least 6 years of relevant experience. Proficiency in programming languages such as Python or R, experience with SQL and big data technologies (e.g., Spark, Hadoop), and familiarity with accounting software and ERP systems are essential. Exceptional analytical, problem-solving, and communication skills are critical for success in this remote-first role, enabling effective collaboration across a distributed team and clear communication of complex findings to stakeholders. If you are passionate about applying data science to the world of finance and accounting and eager to drive innovation remotely, we encourage you to apply.
Responsibilities:
Responsibilities:
- Develop and implement advanced statistical and machine learning models for accounting data.
- Design and build data pipelines for extracting, transforming, and loading financial data.
- Perform complex data analysis, including anomaly detection, forecasting, and trend analysis in accounting operations.
- Create compelling data visualizations and dashboards to communicate insights to stakeholders.
- Collaborate with accounting teams to understand their needs and identify data-driven solutions.
- Ensure data quality, integrity, and compliance with financial regulations.
- Stay abreast of the latest advancements in data science, AI, and financial technologies.
- Mentor junior data scientists and contribute to the team's technical growth.
- Present findings and recommendations to senior management and cross-functional teams.
- Contribute to the development of new data products and analytical tools.
- Master's or PhD in Data Science, Statistics, Computer Science, Finance, or a related quantitative field.
- Minimum of 6 years of experience in data science, with a focus on financial or accounting analytics.
- Proficiency in Python or R, including relevant data science libraries (e.g., scikit-learn, pandas, TensorFlow, PyTorch).
- Strong SQL skills and experience with big data technologies (e.g., Spark, Hadoop).
- Solid understanding of accounting principles, financial reporting, and auditing processes.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to non-technical audiences.
- Ability to work effectively independently and as part of a remote team.
- Familiarity with accounting software and ERP systems is a plus.
This advertiser has chosen not to accept applicants from your region.
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6
Remote Data Scientist (Mining Analytics)
LS1 1UR Leeds, Yorkshire and the Humber
£50000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client, a global leader in the mining industry, is looking for a highly skilled and motivated Remote Data Scientist specializing in Mining Analytics. This fully remote position offers the opportunity to leverage vast datasets to drive operational efficiency, improve safety, and optimize resource extraction across diverse mining operations worldwide. The successful candidate will play a key role in developing advanced analytical models, implementing machine learning solutions, and translating complex data into actionable insights for strategic decision-making.
Key Responsibilities:
Qualifications:
This fully remote role offers a highly competitive salary, comprehensive benefits, and the opportunity to make a significant impact on global mining operations. Join a forward-thinking company at the forefront of technological innovation in the industry.
Key Responsibilities:
- Develop and implement advanced statistical and machine learning models to analyze mining data, including geological, operational, and financial information.
- Identify patterns, trends, and anomalies in large datasets to uncover insights related to ore grade, production efficiency, equipment performance, and safety.
- Design and build data pipelines for data ingestion, cleaning, transformation, and feature engineering specifically for mining applications.
- Collaborate with geologists, engineers, and operational managers to understand their challenges and translate them into data science problems.
- Develop predictive models for equipment failure, resource estimation, and production forecasting.
- Create interactive dashboards and visualizations to communicate complex findings to technical and non-technical stakeholders.
- Stay abreast of the latest advancements in data science, machine learning, and their applications in the mining sector.
- Ensure data quality, integrity, and security across all analytical processes.
- Contribute to the strategic roadmap for data analytics within the mining operations.
- Mentor junior data analysts and scientists.
Qualifications:
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Mining Engineering, or a related quantitative field.
- Proven experience (minimum 5 years) as a Data Scientist with a strong focus on applying advanced analytics and machine learning techniques.
- Demonstrated experience in the mining or natural resources sector, with a deep understanding of mining processes and data types.
- Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Experience with database technologies (SQL, NoSQL) and big data platforms (e.g., Spark).
- Strong knowledge of statistical modeling, machine learning algorithms, and data mining techniques.
- Excellent data visualization skills (e.g., Tableau, Power BI, Matplotlib).
- Exceptional problem-solving abilities and a curious, analytical mindset.
- Strong communication and interpersonal skills, with the ability to explain technical concepts clearly.
- Ability to work independently and manage projects effectively in a remote setting.
This fully remote role offers a highly competitive salary, comprehensive benefits, and the opportunity to make a significant impact on global mining operations. Join a forward-thinking company at the forefront of technological innovation in the industry.
This advertiser has chosen not to accept applicants from your region.
7
Senior Data Analyst Fraud Analytics
M60 6ES Manchester, North West
N Brown Group
Posted 1 day ago
Job Viewed
Job Description
Were looking for a Senior Data Analyst Fraud Analytics to join our Credit Risk team.
This is a key role in the Financial Services business with responsibility for helping to drive fraud strategy to protect the business from fraud and other financial crime. To achieve this, you will be an experienced fraud strategy professional who is highly data literate, with good knowledge of platforms and tec.
This is a key role in the Financial Services business with responsibility for helping to drive fraud strategy to protect the business from fraud and other financial crime. To achieve this, you will be an experienced fraud strategy professional who is highly data literate, with good knowledge of platforms and tec.
WHJS1_UKTJ
This advertiser has chosen not to accept applicants from your region.
8
Contract Data Scientist - Customer Analytics - Outside IR35 Manchester
Manchester, North West
La Fosse
Posted 1 day ago
Job Viewed
Job Description
We're partnered with a well-known UK retailer based in the north west, currently seeking a Data Scientist to join their growing data science function on a 6-month contract (outside IR35).
This is a hands-on opportunity to work on greenfield, customer-focused data science projects, helping to shape the future of analytics within the business. You'll be designing and deploying ML models across areas .
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