ABOUT BG AUTOMOTIVE BG Automotive (BGA) is a leader in the Automotive Aftermarket spares industry, catering to both UK and export markets. At BGA, you will join a dynamic environment where innovation and data-driven decision-making are at the core of our success. As a Data Scientist , you will work on impactful projects that range from advanced analytics and predictive modelling to business intelligence and process optimization. Collaborate with cross-functional teams to extract insights from data and develop solutions that enhance efficiency and drive growth. We are looking for a curious and creative individual with a strong analytical mindset, technological fluency, and a passion for solving complex problems. If you thrive on uncovering insights through data and developing actionable solutions, BGA is the ideal place to advance your career. What you will do: Analyse large and complex datasets to uncover insights and inform decision-making. Design and implement machine learning models to address business challenges. Develop dashboards, reports, and visualizations to present data-driven insights. Collaborate with cross-functional teams to identify opportunities for data-driven improvements Assist with the implementation of Oracle ERP, contributing data expertise in replacing Legacy systems and helping shape data flows, reporting structures, and integrations from the ground up. Improve processes through predictive analytics and statistical modelling. Create data-driven systems in collaboration with our software development team. Communicate findings clearly and effectively to both technical and non-technical stakeholders. Required Skills: Proven experience (2+ years) in data science, machine learning, and statistical analysis Degree in Data Science, Computer Science, Mathematics, or a related field. Proficiency in Python for data analysis and machine learning. Strong knowledge of data visualization tools (Preferably Power BI). Strong SQL skills - comfortable with joins, subqueries, window functions, and query optimisation Experience with ETL processes and building/maintaining data pipelines. Excellent communication skills, with the ability to explain complex ideas simply. Ability to translate business problems into analytical solutions. Desirable Skills: Experience with Oracle ERP or exposure to large-scale ERP implementation projects. Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud). Exposure to Rust, C# or other object-oriented programming languages. Knowledge of frontend development (HTML, CSS, JavaScript) is a plus. What We Offer You: Competitive Salary: We re open to tailoring the job offer to fit your skills and experience. Environment: Work from our modern Swindon offices. Growth Opportunities: Be part of an ambitious, fast-growing company. Supportive Team: Join a close-knit group that values fresh ideas, innovation, and teamwork. Workplace pension On-site parking, Drinks & Fruit complimentary, Service gifts for 5,10,15 plus years, Increased holiday for long service.
03/04/2026
Full time
ABOUT BG AUTOMOTIVE BG Automotive (BGA) is a leader in the Automotive Aftermarket spares industry, catering to both UK and export markets. At BGA, you will join a dynamic environment where innovation and data-driven decision-making are at the core of our success. As a Data Scientist , you will work on impactful projects that range from advanced analytics and predictive modelling to business intelligence and process optimization. Collaborate with cross-functional teams to extract insights from data and develop solutions that enhance efficiency and drive growth. We are looking for a curious and creative individual with a strong analytical mindset, technological fluency, and a passion for solving complex problems. If you thrive on uncovering insights through data and developing actionable solutions, BGA is the ideal place to advance your career. What you will do: Analyse large and complex datasets to uncover insights and inform decision-making. Design and implement machine learning models to address business challenges. Develop dashboards, reports, and visualizations to present data-driven insights. Collaborate with cross-functional teams to identify opportunities for data-driven improvements Assist with the implementation of Oracle ERP, contributing data expertise in replacing Legacy systems and helping shape data flows, reporting structures, and integrations from the ground up. Improve processes through predictive analytics and statistical modelling. Create data-driven systems in collaboration with our software development team. Communicate findings clearly and effectively to both technical and non-technical stakeholders. Required Skills: Proven experience (2+ years) in data science, machine learning, and statistical analysis Degree in Data Science, Computer Science, Mathematics, or a related field. Proficiency in Python for data analysis and machine learning. Strong knowledge of data visualization tools (Preferably Power BI). Strong SQL skills - comfortable with joins, subqueries, window functions, and query optimisation Experience with ETL processes and building/maintaining data pipelines. Excellent communication skills, with the ability to explain complex ideas simply. Ability to translate business problems into analytical solutions. Desirable Skills: Experience with Oracle ERP or exposure to large-scale ERP implementation projects. Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud). Exposure to Rust, C# or other object-oriented programming languages. Knowledge of frontend development (HTML, CSS, JavaScript) is a plus. What We Offer You: Competitive Salary: We re open to tailoring the job offer to fit your skills and experience. Environment: Work from our modern Swindon offices. Growth Opportunities: Be part of an ambitious, fast-growing company. Supportive Team: Join a close-knit group that values fresh ideas, innovation, and teamwork. Workplace pension On-site parking, Drinks & Fruit complimentary, Service gifts for 5,10,15 plus years, Increased holiday for long service.
Looking for an experienced Data Scientist to design, build, and optimise machine learning models and advanced analytics solutions that support institutional priorities across a large, complex network. The role blends hands-on data science with strategic impact, using AWS technologies to deliver predictive insights that drive proactive interventions and data-driven decision-making. This is a hybrid role with the expectation of working 2 days pw in the London office. Skills and experience required: Bachelor's degree in data science, Statistics, Computer Science, Mathematics, or similar Experience delivering predictive analytics or machine learning solutions Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda, Redshift) Ability to clearly communicate insights to non-technical stakeholders Strong analytical thinking, collaboration skills, and a results-driven mindset Role responsibilities: Build, tune, and maintain predictive and ML models using AWS SageMaker Analyse large datasets and perform feature engineering to improve model performance Run experiments, test hypotheses, and optimise models for accuracy and value Monitor model performance and manage retraining over time Collaborate with Data Engineers, BI Developers, and Analysts to integrate outputs into dashboards and reports Partner with academic, operational, and IT stakeholders to translate insights into action Document models and support knowledge sharing and scalability Contribute to the expansion of predictive analytics into advanced ML/AI use cases Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
31/03/2026
Full time
Looking for an experienced Data Scientist to design, build, and optimise machine learning models and advanced analytics solutions that support institutional priorities across a large, complex network. The role blends hands-on data science with strategic impact, using AWS technologies to deliver predictive insights that drive proactive interventions and data-driven decision-making. This is a hybrid role with the expectation of working 2 days pw in the London office. Skills and experience required: Bachelor's degree in data science, Statistics, Computer Science, Mathematics, or similar Experience delivering predictive analytics or machine learning solutions Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda, Redshift) Ability to clearly communicate insights to non-technical stakeholders Strong analytical thinking, collaboration skills, and a results-driven mindset Role responsibilities: Build, tune, and maintain predictive and ML models using AWS SageMaker Analyse large datasets and perform feature engineering to improve model performance Run experiments, test hypotheses, and optimise models for accuracy and value Monitor model performance and manage retraining over time Collaborate with Data Engineers, BI Developers, and Analysts to integrate outputs into dashboards and reports Partner with academic, operational, and IT stakeholders to translate insights into action Document models and support knowledge sharing and scalability Contribute to the expansion of predictive analytics into advanced ML/AI use cases Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Role: Data Scientist Location : Solihull, 2 days per week on site required NON-NEGOTIABLE Duration : 6-month contract Rate : Via umbrella Join a Major National Organisation at the Heart of Public Service Transformation We are recruiting for a Data Scientist to join a high-impact Digital, Data & Technology function, embedded within a leading organisation that delivers essential services to millions of people every day. You'll play a pivotal role in helping this forward-thinking, mission-driven business harness data to drive smarter decisions, better outcomes, and improved operational efficiency. Working as part of a multidisciplinary Analytics & Insights team, you'll contribute to shaping a more data-driven culture-where machine learning, AI, and statistical modelling are leveraged to create real-world solutions with measurable impact. Your Impact As a Data Scientist, you'll : Collaborate with business leaders to identify opportunities and translate complex datasets into actionable insights. Design and build predictive models, machine learning solutions, and smart algorithms. Analyse and visualise trends and patterns that directly influence decision-making across the organisation. Support the development of data products within the Microsoft Azure stack and contribute to modernising data capabilities across a large-scale enterprise. Champion innovation and continuous improvement in data practices, working closely with developers, engineers, and fellow data experts. What You Bring Proven experience as a Data Scientist in a large-scale or public sector setting. Strong programming skills: Python, R, SQL, and ideally knowledge of Scala, Java, or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine learning methods (KNN, Na ve Bayes, SVM, Decision Forests). Solid statistical and mathematical foundations (regression, distributions, linear algebra, multivariable calculus). Excellent communication skills - able to explain technical findings to both technical and non-technical audiences. A degree in Computer Science, Data Science, or a related technical discipline. Why This Role? This is more than just a data science role-it's a chance to work at the forefront of digital transformation within an organisation that genuinely values data-driven thinking. You'll help solve real-world challenges, build high-impact solutions, and work alongside a team of passionate professionals dedicated to public service and innovation. Candidates will ideally show evidence of the above in their CV to be considered please click the "apply" button. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.
01/09/2025
Contractor
Role: Data Scientist Location : Solihull, 2 days per week on site required NON-NEGOTIABLE Duration : 6-month contract Rate : Via umbrella Join a Major National Organisation at the Heart of Public Service Transformation We are recruiting for a Data Scientist to join a high-impact Digital, Data & Technology function, embedded within a leading organisation that delivers essential services to millions of people every day. You'll play a pivotal role in helping this forward-thinking, mission-driven business harness data to drive smarter decisions, better outcomes, and improved operational efficiency. Working as part of a multidisciplinary Analytics & Insights team, you'll contribute to shaping a more data-driven culture-where machine learning, AI, and statistical modelling are leveraged to create real-world solutions with measurable impact. Your Impact As a Data Scientist, you'll : Collaborate with business leaders to identify opportunities and translate complex datasets into actionable insights. Design and build predictive models, machine learning solutions, and smart algorithms. Analyse and visualise trends and patterns that directly influence decision-making across the organisation. Support the development of data products within the Microsoft Azure stack and contribute to modernising data capabilities across a large-scale enterprise. Champion innovation and continuous improvement in data practices, working closely with developers, engineers, and fellow data experts. What You Bring Proven experience as a Data Scientist in a large-scale or public sector setting. Strong programming skills: Python, R, SQL, and ideally knowledge of Scala, Java, or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine learning methods (KNN, Na ve Bayes, SVM, Decision Forests). Solid statistical and mathematical foundations (regression, distributions, linear algebra, multivariable calculus). Excellent communication skills - able to explain technical findings to both technical and non-technical audiences. A degree in Computer Science, Data Science, or a related technical discipline. Why This Role? This is more than just a data science role-it's a chance to work at the forefront of digital transformation within an organisation that genuinely values data-driven thinking. You'll help solve real-world challenges, build high-impact solutions, and work alongside a team of passionate professionals dedicated to public service and innovation. Candidates will ideally show evidence of the above in their CV to be considered please click the "apply" button. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.
JOB TITLE: Pricing and data analytics scientist
Grade: 3
LOCATION: London
Purpose: To develop and apply data science, machine learning and other statistical techniques to draw insights on insurance products, customers and operational processes and shape the strategic direction of data usage within the business
A talented Data Science Analyst to work within the technical pricing team. The purpose is to provide valuable insight and analytical services over diverse large scale data for the purposes of pricing in the first instance, but also a variety of other functions including: marketing, operations and counter fraud.
Working closely with technical pricing analysts and other data analysts elsewhere in the business, you will be responsible for expanding our data processing and technical modelling framework; establishing efficient ways of implementing segmentation and predictive models; and ensuring that our reusable data assets build smoothly on a regular basis.
Need for exceptionally strong academic background combined with a passion for innovation, outstanding technical skills in a variety of programming languages and modern statistical analytics tools, and exceptional statistical expertise. A technically focussed person who learns new programming languages for fun and can deliver robust solutions.
Key Responsibilities
* Develop, operate, support and continually optimise a common data analytical platform that can support rapid discovery and deployment of data products and enables a community of any data scientists and actuaries to easily obtain insight
* Take responsibility for the delivery of specific pieces of Data Science work, managing the overall process of delivery and taking responsibility for data, modelling and communication of analysis to stakeholders; including clear and actionable insight through advanced analysis and interpretation of multiple complex data sets
* Develop sophisticated and innovative data products that will have considerable and measurable impact; either in price determination, cost reduction, revenue increase or enable new business opportunities
* Adhering to a culture of "agile emergent design", work closely with the product deployment teams to enable the smooth and rapid transitioning of prototype data products and predictive models into robust product assets to be deployed into the business or market.
* Establish credibility and thought leadership in the area of data science and to engage with the business intelligence and MI teams to ensure best practice, influence and contribute to the development of strategic vision for data usage within the company.
Product & Technical Knowledge
* Strong academic background, e.g. expect a Masters Degree in computer science, physics or maths based or equivalent
* Advanced SQL for data manipulation or experience of managing large-scale data sets within an analytical function
* Advanced experience of commercial data science or analytics software (e.g. R, SAS, SPSS, MATLAB etc.)
* Advanced experience in supporting coding languages, such as C++, Python and/or Java
* Advanced working knowledge of development-like environments, including shell scripting, version control etc.
* Strong analytical, quantitative, problem-solving, and critical thinking skills
* Good written, verbal and presentation communication skills
* Ability to work collaboratively with other business units in order to achieve common objectives
* Organised self-starter, with drive and commitment; able to finish work with little supervision.
* Excellent interpersonal skills and the ability to maintain effective working relationships
* Exceptional statistical skills, experience of building predictive models using a wide variety of tools and techniques (including: neural network, linear or logistic regression, random forest, gradient boosted machines, LASSO)
02/05/2017
JOB TITLE: Pricing and data analytics scientist
Grade: 3
LOCATION: London
Purpose: To develop and apply data science, machine learning and other statistical techniques to draw insights on insurance products, customers and operational processes and shape the strategic direction of data usage within the business
A talented Data Science Analyst to work within the technical pricing team. The purpose is to provide valuable insight and analytical services over diverse large scale data for the purposes of pricing in the first instance, but also a variety of other functions including: marketing, operations and counter fraud.
Working closely with technical pricing analysts and other data analysts elsewhere in the business, you will be responsible for expanding our data processing and technical modelling framework; establishing efficient ways of implementing segmentation and predictive models; and ensuring that our reusable data assets build smoothly on a regular basis.
Need for exceptionally strong academic background combined with a passion for innovation, outstanding technical skills in a variety of programming languages and modern statistical analytics tools, and exceptional statistical expertise. A technically focussed person who learns new programming languages for fun and can deliver robust solutions.
Key Responsibilities
* Develop, operate, support and continually optimise a common data analytical platform that can support rapid discovery and deployment of data products and enables a community of any data scientists and actuaries to easily obtain insight
* Take responsibility for the delivery of specific pieces of Data Science work, managing the overall process of delivery and taking responsibility for data, modelling and communication of analysis to stakeholders; including clear and actionable insight through advanced analysis and interpretation of multiple complex data sets
* Develop sophisticated and innovative data products that will have considerable and measurable impact; either in price determination, cost reduction, revenue increase or enable new business opportunities
* Adhering to a culture of "agile emergent design", work closely with the product deployment teams to enable the smooth and rapid transitioning of prototype data products and predictive models into robust product assets to be deployed into the business or market.
* Establish credibility and thought leadership in the area of data science and to engage with the business intelligence and MI teams to ensure best practice, influence and contribute to the development of strategic vision for data usage within the company.
Product & Technical Knowledge
* Strong academic background, e.g. expect a Masters Degree in computer science, physics or maths based or equivalent
* Advanced SQL for data manipulation or experience of managing large-scale data sets within an analytical function
* Advanced experience of commercial data science or analytics software (e.g. R, SAS, SPSS, MATLAB etc.)
* Advanced experience in supporting coding languages, such as C++, Python and/or Java
* Advanced working knowledge of development-like environments, including shell scripting, version control etc.
* Strong analytical, quantitative, problem-solving, and critical thinking skills
* Good written, verbal and presentation communication skills
* Ability to work collaboratively with other business units in order to achieve common objectives
* Organised self-starter, with drive and commitment; able to finish work with little supervision.
* Excellent interpersonal skills and the ability to maintain effective working relationships
* Exceptional statistical skills, experience of building predictive models using a wide variety of tools and techniques (including: neural network, linear or logistic regression, random forest, gradient boosted machines, LASSO)
Are you …. A talented Big Data Scientist? Are you…. looking for a technically challenging role that will push your knowledge to another level? Read on!
As a Big Data Scientist you would need to have experience in statistical, mathematical, predictive modelling as well as having the business strategy skills to build algorithms necessary to not only ask the right questions but find the right answers. You also be required to communicate these findings to non-technical clientele and have a full understanding of how the products are developed.
As a Big Data Scientist you need to have a curious mind, and enjoy throwing yourself fully into a project to find answers to yet unidentified questions. You need to see the bigger picture and be able to ask the right business questions. A Big Data Scientist will need to have the patience of a saint as finding the unknown in huge data sets will take up a lot of time, also developing the right algorithm to unearth new insights will often be trial-and-error.
A talented Big Data Scientist will understand how to integrate numerous systems and data sets, and will need to be able to link up distinctive data sets to discover new innovative insights. Last, but by no means least a Big Data Scientist needs to be a talented programmer, preferably within a range of different languages e.g. Python, R, Java, Matlab, or SQL. You will also be required to have a good understanding of Hadoop, Hive and MapReduce.
If you have extensive experience in the following then this could be the ideal position for you -
* Natural Language Processing
* Machine learning
* Conceptual & Predictive modelling
* Statistical analysis
An exceptional Big Data Scientist can have a varied background such as econometrics, physics, biostatistics, computer science, applied mathematics or engineering. Most often than not will be MSc or PhD educated, however in order to be the ultimate Big Data Scientist you should have a very good idea of how and why data and predictive analytics are so important to the growth of business.
If this sounds like you in a nutshell then what are you waiting for apply now!
Are you a Data Scientist or Data Engineer but this role doesn't quite fit? Eligo Technology are a leading Big Data and Analytics consultancy specialising in data engineering & data science jobs, for all levels, spanning all sectors. Please don't hesitate to get in touch with us for a confidential chat about how we can secure you your perfect Big Data Job
09/09/2016
Are you …. A talented Big Data Scientist? Are you…. looking for a technically challenging role that will push your knowledge to another level? Read on!
As a Big Data Scientist you would need to have experience in statistical, mathematical, predictive modelling as well as having the business strategy skills to build algorithms necessary to not only ask the right questions but find the right answers. You also be required to communicate these findings to non-technical clientele and have a full understanding of how the products are developed.
As a Big Data Scientist you need to have a curious mind, and enjoy throwing yourself fully into a project to find answers to yet unidentified questions. You need to see the bigger picture and be able to ask the right business questions. A Big Data Scientist will need to have the patience of a saint as finding the unknown in huge data sets will take up a lot of time, also developing the right algorithm to unearth new insights will often be trial-and-error.
A talented Big Data Scientist will understand how to integrate numerous systems and data sets, and will need to be able to link up distinctive data sets to discover new innovative insights. Last, but by no means least a Big Data Scientist needs to be a talented programmer, preferably within a range of different languages e.g. Python, R, Java, Matlab, or SQL. You will also be required to have a good understanding of Hadoop, Hive and MapReduce.
If you have extensive experience in the following then this could be the ideal position for you -
* Natural Language Processing
* Machine learning
* Conceptual & Predictive modelling
* Statistical analysis
An exceptional Big Data Scientist can have a varied background such as econometrics, physics, biostatistics, computer science, applied mathematics or engineering. Most often than not will be MSc or PhD educated, however in order to be the ultimate Big Data Scientist you should have a very good idea of how and why data and predictive analytics are so important to the growth of business.
If this sounds like you in a nutshell then what are you waiting for apply now!
Are you a Data Scientist or Data Engineer but this role doesn't quite fit? Eligo Technology are a leading Big Data and Analytics consultancy specialising in data engineering & data science jobs, for all levels, spanning all sectors. Please don't hesitate to get in touch with us for a confidential chat about how we can secure you your perfect Big Data Job
DATA SCIENTIST – PERMANENT – LONDON
Salary: £45k - £60k
Start: ASAP
Data Scientist (FinTech/Predictive Analytics/Neural Networks/Machine Learning/Natural Language Processing)
Project Practice is proud to announce an exciting opportunity for a Data Scientist with solid understanding/experience in Neural Networks to join a cutting-edge FinTech organisation based in London. The ideal candidate should possess knowledge of tools such as R and a flair for understanding and implementing new technologies.
Role:
• Integrate multiple systems and data sets
• Discover new insights via linking distinctive data sets
• Work with incomplete data sources and clean data sets to be able to use them for connecting different types of data
• Program in preferably different languages such as Python, R, Java, Ruby, Clojure, Matlab, Pig or SQL
Requirements:
• Masters’ Degree and / or PhD in Maths / Computational Science / Artificial Intelligence / Econometrics / Physics / Biostatistics / Computer Science / Applied Mathematics / Engineering
• Deep understanding of Neural Networks, either depicted from an academic background or work experience
• Familiarity with disciplines such as: Natural Language Processing, Machine Learning, Conceptual Modelling, Statistical Analysis, Predictive Modelling and Hypothesis Testing, Statistical Analysis
• Experience in integrating multiple systems and data sets
• Programming experience with either of the following: Python, R, Java, Ruby, Matlab or SQL
• Understanding of Hadoop, Hive and/or MapReduce
• Excellent client facing skills with the ability to communicate to large audiences
If you are a passionate about developing a career in Data Science or are already a Data Scientist and keen to join a FinTech organisation, then this is the perfect role for you! Apply now for this role
09/09/2016
DATA SCIENTIST – PERMANENT – LONDON
Salary: £45k - £60k
Start: ASAP
Data Scientist (FinTech/Predictive Analytics/Neural Networks/Machine Learning/Natural Language Processing)
Project Practice is proud to announce an exciting opportunity for a Data Scientist with solid understanding/experience in Neural Networks to join a cutting-edge FinTech organisation based in London. The ideal candidate should possess knowledge of tools such as R and a flair for understanding and implementing new technologies.
Role:
• Integrate multiple systems and data sets
• Discover new insights via linking distinctive data sets
• Work with incomplete data sources and clean data sets to be able to use them for connecting different types of data
• Program in preferably different languages such as Python, R, Java, Ruby, Clojure, Matlab, Pig or SQL
Requirements:
• Masters’ Degree and / or PhD in Maths / Computational Science / Artificial Intelligence / Econometrics / Physics / Biostatistics / Computer Science / Applied Mathematics / Engineering
• Deep understanding of Neural Networks, either depicted from an academic background or work experience
• Familiarity with disciplines such as: Natural Language Processing, Machine Learning, Conceptual Modelling, Statistical Analysis, Predictive Modelling and Hypothesis Testing, Statistical Analysis
• Experience in integrating multiple systems and data sets
• Programming experience with either of the following: Python, R, Java, Ruby, Matlab or SQL
• Understanding of Hadoop, Hive and/or MapReduce
• Excellent client facing skills with the ability to communicate to large audiences
If you are a passionate about developing a career in Data Science or are already a Data Scientist and keen to join a FinTech organisation, then this is the perfect role for you! Apply now for this role
Are you …. A talented Big Data Scientist? Are you…. looking for a technically challenging role that will push your knowledge to another level? Read on!
As a Big Data Scientist you would need to have experience in statistical, mathematical, predictive modelling as well as having the business strategy skills to build algorithms necessary to not only ask the right questions but find the right answers. You also be required to communicate these findings to non-technical clientele and have a full understanding of how the products are developed.
As a Big Data Scientist you need to have a curious mind, and enjoy throwing yourself fully into a project to find answers to yet unidentified questions. You need to see the bigger picture and be able to ask the right business questions. A Big Data Scientist will need to have the patience of a saint as finding the unknown in huge data sets will take up a lot of time, also developing the right algorithm to unearth new insights will often be trial-and-error.
A talented Big Data Scientist will understand how to integrate numerous systems and data sets, and will need to be able to link up distinctive data sets to discover new innovative insights. Last, but by no means least a Big Data Scientist needs to be a talented programmer, preferably within a range of different languages e.g. Python, R, Java, Matlab, or SQL. You will also be required to have a good understanding of Hadoop, Hive and MapReduce.
If you have extensive experience in the following then this could be the ideal position for you -
* Natural Language Processing
* Machine learning
* Conceptual & Predictive modelling
* Statistical analysis
An exceptional Big Data Scientist can have a varied background such as econometrics, physics, biostatistics, computer science, applied mathematics or engineering. Most often than not will be MSc or PhD educated, however in order to be the ultimate Big Data Scientist you should have a very good idea of how and why data and predictive analytics are so important to the growth of business.
If this sounds like you in a nutshell then what are you waiting for apply now!
Are you a Data Scientist or Data Engineer but this role doesn't quite fit? Eligo Technology are a leading Big Data and Analytics consultancy specialising in data engineering & data science jobs, for all levels, spanning all sectors. Please don't hesitate to get in touch with us for a confidential chat about how we can secure you your perfect Big Data Job
09/09/2016
Are you …. A talented Big Data Scientist? Are you…. looking for a technically challenging role that will push your knowledge to another level? Read on!
As a Big Data Scientist you would need to have experience in statistical, mathematical, predictive modelling as well as having the business strategy skills to build algorithms necessary to not only ask the right questions but find the right answers. You also be required to communicate these findings to non-technical clientele and have a full understanding of how the products are developed.
As a Big Data Scientist you need to have a curious mind, and enjoy throwing yourself fully into a project to find answers to yet unidentified questions. You need to see the bigger picture and be able to ask the right business questions. A Big Data Scientist will need to have the patience of a saint as finding the unknown in huge data sets will take up a lot of time, also developing the right algorithm to unearth new insights will often be trial-and-error.
A talented Big Data Scientist will understand how to integrate numerous systems and data sets, and will need to be able to link up distinctive data sets to discover new innovative insights. Last, but by no means least a Big Data Scientist needs to be a talented programmer, preferably within a range of different languages e.g. Python, R, Java, Matlab, or SQL. You will also be required to have a good understanding of Hadoop, Hive and MapReduce.
If you have extensive experience in the following then this could be the ideal position for you -
* Natural Language Processing
* Machine learning
* Conceptual & Predictive modelling
* Statistical analysis
An exceptional Big Data Scientist can have a varied background such as econometrics, physics, biostatistics, computer science, applied mathematics or engineering. Most often than not will be MSc or PhD educated, however in order to be the ultimate Big Data Scientist you should have a very good idea of how and why data and predictive analytics are so important to the growth of business.
If this sounds like you in a nutshell then what are you waiting for apply now!
Are you a Data Scientist or Data Engineer but this role doesn't quite fit? Eligo Technology are a leading Big Data and Analytics consultancy specialising in data engineering & data science jobs, for all levels, spanning all sectors. Please don't hesitate to get in touch with us for a confidential chat about how we can secure you your perfect Big Data Job
DATA SCIENTIST – PERMANENT – LONDON
Salary: £45k - £60k
Start: ASAP
Data Scientist (FinTech/Predictive Analytics/Neural Networks/Machine Learning/Natural Language Processing)
Project Practice is proud to announce an exciting opportunity for a Data Scientist with solid understanding/experience in Neural Networks to join a cutting-edge FinTech organisation based in London. The ideal candidate should possess knowledge of tools such as R and a flair for understanding and implementing new technologies.
Role:
• Integrate multiple systems and data sets
• Discover new insights via linking distinctive data sets
• Work with incomplete data sources and clean data sets to be able to use them for connecting different types of data
• Program in preferably different languages such as Python, R, Java, Ruby, Clojure, Matlab, Pig or SQL
Requirements:
• Masters’ Degree and / or PhD in Maths / Computational Science / Artificial Intelligence / Econometrics / Physics / Biostatistics / Computer Science / Applied Mathematics / Engineering
• Deep understanding of Neural Networks, either depicted from an academic background or work experience
• Familiarity with disciplines such as: Natural Language Processing, Machine Learning, Conceptual Modelling, Statistical Analysis, Predictive Modelling and Hypothesis Testing, Statistical Analysis
• Experience in integrating multiple systems and data sets
• Programming experience with either of the following: Python, R, Java, Ruby, Matlab or SQL
• Understanding of Hadoop, Hive and/or MapReduce
• Excellent client facing skills with the ability to communicate to large audiences
If you are a passionate about developing a career in Data Science or are already a Data Scientist and keen to join a FinTech organisation, then this is the perfect role for you! Apply now for this role
09/09/2016
DATA SCIENTIST – PERMANENT – LONDON
Salary: £45k - £60k
Start: ASAP
Data Scientist (FinTech/Predictive Analytics/Neural Networks/Machine Learning/Natural Language Processing)
Project Practice is proud to announce an exciting opportunity for a Data Scientist with solid understanding/experience in Neural Networks to join a cutting-edge FinTech organisation based in London. The ideal candidate should possess knowledge of tools such as R and a flair for understanding and implementing new technologies.
Role:
• Integrate multiple systems and data sets
• Discover new insights via linking distinctive data sets
• Work with incomplete data sources and clean data sets to be able to use them for connecting different types of data
• Program in preferably different languages such as Python, R, Java, Ruby, Clojure, Matlab, Pig or SQL
Requirements:
• Masters’ Degree and / or PhD in Maths / Computational Science / Artificial Intelligence / Econometrics / Physics / Biostatistics / Computer Science / Applied Mathematics / Engineering
• Deep understanding of Neural Networks, either depicted from an academic background or work experience
• Familiarity with disciplines such as: Natural Language Processing, Machine Learning, Conceptual Modelling, Statistical Analysis, Predictive Modelling and Hypothesis Testing, Statistical Analysis
• Experience in integrating multiple systems and data sets
• Programming experience with either of the following: Python, R, Java, Ruby, Matlab or SQL
• Understanding of Hadoop, Hive and/or MapReduce
• Excellent client facing skills with the ability to communicate to large audiences
If you are a passionate about developing a career in Data Science or are already a Data Scientist and keen to join a FinTech organisation, then this is the perfect role for you! Apply now for this role
Are you …. A talented Big Data Scientist? Are you…. looking for a technically challenging role that will push your knowledge to another level? Read on!
As a Big Data Scientist you would need to have experience in statistical, mathematical, predictive modelling as well as having the business strategy skills to build algorithms necessary to not only ask the right questions but find the right answers. You also be required to communicate these findings to non-technical clientele and have a full understanding of how the products are developed.
As a Big Data Scientist you need to have a curious mind, and enjoy throwing yourself fully into a project to find answers to yet unidentified questions. You need to see the bigger picture and be able to ask the right business questions. A Big Data Scientist will need to have the patience of a saint as finding the unknown in huge data sets will take up a lot of time, also developing the right algorithm to unearth new insights will often be trial-and-error.
A talented Big Data Scientist will understand how to integrate numerous systems and data sets, and will need to be able to link up distinctive data sets to discover new innovative insights. Last, but by no means least a Big Data Scientist needs to be a talented programmer, preferably within a range of different languages e.g. Python, R, Java, Matlab, or SQL. You will also be required to have a good understanding of Hadoop, Hive and MapReduce.
If you have extensive experience in the following then this could be the ideal position for you -
* Natural Language Processing
* Machine learning
* Conceptual & Predictive modelling
* Statistical analysis
An exceptional Big Data Scientist can have a varied background such as econometrics, physics, biostatistics, computer science, applied mathematics or engineering. Most often than not will be MSc or PhD educated, however in order to be the ultimate Big Data Scientist you should have a very good idea of how and why data and predictive analytics are so important to the growth of business.
If this sounds like you in a nutshell then what are you waiting for apply now!
Are you a Data Scientist or Data Engineer but this role doesn't quite fit? Eligo Technology are a leading Big Data and Analytics consultancy specialising in data engineering & data science jobs, for all levels, spanning all sectors. Please don't hesitate to get in touch with us for a confidential chat about how we can secure you your perfect Big Data Job
09/09/2016
Are you …. A talented Big Data Scientist? Are you…. looking for a technically challenging role that will push your knowledge to another level? Read on!
As a Big Data Scientist you would need to have experience in statistical, mathematical, predictive modelling as well as having the business strategy skills to build algorithms necessary to not only ask the right questions but find the right answers. You also be required to communicate these findings to non-technical clientele and have a full understanding of how the products are developed.
As a Big Data Scientist you need to have a curious mind, and enjoy throwing yourself fully into a project to find answers to yet unidentified questions. You need to see the bigger picture and be able to ask the right business questions. A Big Data Scientist will need to have the patience of a saint as finding the unknown in huge data sets will take up a lot of time, also developing the right algorithm to unearth new insights will often be trial-and-error.
A talented Big Data Scientist will understand how to integrate numerous systems and data sets, and will need to be able to link up distinctive data sets to discover new innovative insights. Last, but by no means least a Big Data Scientist needs to be a talented programmer, preferably within a range of different languages e.g. Python, R, Java, Matlab, or SQL. You will also be required to have a good understanding of Hadoop, Hive and MapReduce.
If you have extensive experience in the following then this could be the ideal position for you -
* Natural Language Processing
* Machine learning
* Conceptual & Predictive modelling
* Statistical analysis
An exceptional Big Data Scientist can have a varied background such as econometrics, physics, biostatistics, computer science, applied mathematics or engineering. Most often than not will be MSc or PhD educated, however in order to be the ultimate Big Data Scientist you should have a very good idea of how and why data and predictive analytics are so important to the growth of business.
If this sounds like you in a nutshell then what are you waiting for apply now!
Are you a Data Scientist or Data Engineer but this role doesn't quite fit? Eligo Technology are a leading Big Data and Analytics consultancy specialising in data engineering & data science jobs, for all levels, spanning all sectors. Please don't hesitate to get in touch with us for a confidential chat about how we can secure you your perfect Big Data Job
DATA SCIENTIST – PERMANENT – LONDON
Salary: £45k - £60k
Start: ASAP
Data Scientist (FinTech/Predictive Analytics/Neural Networks/Machine Learning/Natural Language Processing)
Project Practice is proud to announce an exciting opportunity for a Data Scientist with solid understanding/experience in Neural Networks to join a cutting-edge FinTech organisation based in London. The ideal candidate should possess knowledge of tools such as R and a flair for understanding and implementing new technologies.
Role:
• Integrate multiple systems and data sets
• Discover new insights via linking distinctive data sets
• Work with incomplete data sources and clean data sets to be able to use them for connecting different types of data
• Program in preferably different languages such as Python, R, Java, Ruby, Clojure, Matlab, Pig or SQL
Requirements:
• Masters’ Degree and / or PhD in Maths / Computational Science / Artificial Intelligence / Econometrics / Physics / Biostatistics / Computer Science / Applied Mathematics / Engineering
• Deep understanding of Neural Networks, either depicted from an academic background or work experience
• Familiarity with disciplines such as: Natural Language Processing, Machine Learning, Conceptual Modelling, Statistical Analysis, Predictive Modelling and Hypothesis Testing, Statistical Analysis
• Experience in integrating multiple systems and data sets
• Programming experience with either of the following: Python, R, Java, Ruby, Matlab or SQL
• Understanding of Hadoop, Hive and/or MapReduce
• Excellent client facing skills with the ability to communicate to large audiences
If you are a passionate about developing a career in Data Science or are already a Data Scientist and keen to join a FinTech organisation, then this is the perfect role for you! Apply now for this role
09/09/2016
DATA SCIENTIST – PERMANENT – LONDON
Salary: £45k - £60k
Start: ASAP
Data Scientist (FinTech/Predictive Analytics/Neural Networks/Machine Learning/Natural Language Processing)
Project Practice is proud to announce an exciting opportunity for a Data Scientist with solid understanding/experience in Neural Networks to join a cutting-edge FinTech organisation based in London. The ideal candidate should possess knowledge of tools such as R and a flair for understanding and implementing new technologies.
Role:
• Integrate multiple systems and data sets
• Discover new insights via linking distinctive data sets
• Work with incomplete data sources and clean data sets to be able to use them for connecting different types of data
• Program in preferably different languages such as Python, R, Java, Ruby, Clojure, Matlab, Pig or SQL
Requirements:
• Masters’ Degree and / or PhD in Maths / Computational Science / Artificial Intelligence / Econometrics / Physics / Biostatistics / Computer Science / Applied Mathematics / Engineering
• Deep understanding of Neural Networks, either depicted from an academic background or work experience
• Familiarity with disciplines such as: Natural Language Processing, Machine Learning, Conceptual Modelling, Statistical Analysis, Predictive Modelling and Hypothesis Testing, Statistical Analysis
• Experience in integrating multiple systems and data sets
• Programming experience with either of the following: Python, R, Java, Ruby, Matlab or SQL
• Understanding of Hadoop, Hive and/or MapReduce
• Excellent client facing skills with the ability to communicate to large audiences
If you are a passionate about developing a career in Data Science or are already a Data Scientist and keen to join a FinTech organisation, then this is the perfect role for you! Apply now for this role
