8 Databases jobs in the United Kingdom

Sr. GTM Specialist Databases UKI,WWSO

London, London Amazon

Posted today

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Job Description

Description

Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, domain background, and sales skills necessary in the Databases domain? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Data and AI team as a Business Development Specialist leading the Databases Domain for UKI!



The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customeru2019s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.



AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.



Key job responsibilities

Own the GTM strategy and execution for the Database Domain as part of the Data and AI Pillar for UKI, collaborating with teams in the field including Sales, Partners, Marketing, and other Specialists.

Leverage your deep expertise in Database technologies to understand the most important customer problems in your region and enable account aligned teams in the field to solve them.

Drive the customer adoption of AWS Database services in UKI by identifying top use cases, adoption patterns converting them into scalable repeatable motions

Lead cross-functional initiatives focused on database migration & modernisation to expand markets/accounts, develop scalable programs to drive adoption, and identify new opportunities within your domain.

Develop and execute goals to drive long term growth in your geography, while meeting/exceeding revenue and non-revenue driven KPIu2019s.

Bring customer data and market signals back to Worldwide teams to ensure we are prioritizing the building of the right features and services for our customers.

Delivering monthly/quarterly business reviews and operational planning documents for your respective tech domain and geography.

Drive geographical scale through external partners; Partner with cross functional teams across Sales, Solution Architecture, Marketing, Partners, and Training and execute customer acquisition programs and strategies.



A day in the life

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasnu2019t followed a traditional path, or includes alternative experiences, donu2019t let it stop you from applying.



Why AWS?

Amazon Web Services (AWS) is the worldu2019s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating u2014 thatu2019s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.



Inclusive Team Culture

Here at AWS, itu2019s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences inspire us to never stop embracing our uniqueness.



Mentorship & Career Growth

Weu2019re continuously raising our performance bar as we strive to become Earthu2019s Best Employer. Thatu2019s why youu2019ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.



Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, thereu2019s nothing we canu2019t achieve in the cloud.



About the team

Within WWSO, this position is a part of the Go-To-Market (GTM) Specialist team, where you will lead GTM strategy for AWS Database Services in UKI. We create sales plays, leverage partners, and build new initiatives that drive results for our customers. We provide critical feedback from customers to inform our product roadmap, and work closely with our partner network to build an ecosystem supporting our customersu2019 goals. In emerging areas, we play a critical role as the u201cfirst inu201d teams to build markets for new services, domains, or solutions. When a customer needs to innovate and requires a new way to leverage AWS, they count on us to innovate with them to build and deliver what they need.

Basic Qualifications

- Bachelor's degree

- Experience in developing, negotiating and executing business agreements

- Experience developing strategies that influence leadership decisions at the organizational level

- Experience presenting to both technical and non-technical executive audiences

- Experience with technology transformation initiatives

- Relevant GTM, Sales, or Consulting experience

- Subject Matter Expertise in Database technologies

Preferred Qualifications

- Experience interpreting data and making business recommendations

- Experience identifying, negotiating, and executing complex legal agreements

- Exceptional interpersonal and communication (both written and verbal) skills with experience communicating to technical and non-technical audiences.

- Established track record of credibility as a technology advisor with customer executives (e.g. CEO, COO, CIO, CTO, CMO) and Line of Business Leaders.

- Experience and success in negotiating complex deals with customers and partners.

- Experience in a heavily matrixed sales environment, including developing, implementing, managing, and executing go-to-market growth initiatives and sales motions.

- Deep understanding of cloud technologies, including public and hybrid cloud platforms.

- Deep Expertise in Database technologies (Relational and Non Relational)

- Technical background in engineering, computer science, or MIS a plus.



Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.



Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.



Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.

Sr. GTM Specialist Databases UKI,WWSO

London, London Amazon

Posted today

Job Viewed

Tap Again To Close

Job Description

Description

Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, domain background, and sales skills necessary in the Databases domain? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Data and AI team as a Business Development Specialist leading the Databases Domain for UKI!



The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customeru2019s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.



AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.



Key job responsibilities

Own the GTM strategy and execution for the Database Domain as part of the Data and AI Pillar for UKI, collaborating with teams in the field including Sales, Partners, Marketing, and other Specialists.

Leverage your deep expertise in Database technologies to understand the most important customer problems in your region and enable account aligned teams in the field to solve them.

Drive the customer adoption of AWS Database services in UKI by identifying top use cases, adoption patterns converting them into scalable repeatable motions

Lead cross-functional initiatives focused on database migration & modernisation to expand markets/accounts, develop scalable programs to drive adoption, and identify new opportunities within your domain.

Develop and execute goals to drive long term growth in your geography, while meeting/exceeding revenue and non-revenue driven KPIu2019s.

Bring customer data and market signals back to Worldwide teams to ensure we are prioritizing the building of the right features and services for our customers.

Delivering monthly/quarterly business reviews and operational planning documents for your respective tech domain and geography.

Drive geographical scale through external partners; Partner with cross functional teams across Sales, Solution Architecture, Marketing, Partners, and Training and execute customer acquisition programs and strategies.



A day in the life

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasnu2019t followed a traditional path, or includes alternative experiences, donu2019t let it stop you from applying.



Why AWS?

Amazon Web Services (AWS) is the worldu2019s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating u2014 thatu2019s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.



Inclusive Team Culture

Here at AWS, itu2019s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences inspire us to never stop embracing our uniqueness.



Mentorship & Career Growth

Weu2019re continuously raising our performance bar as we strive to become Earthu2019s Best Employer. Thatu2019s why youu2019ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.



Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, thereu2019s nothing we canu2019t achieve in the cloud.



About the team

Within WWSO, this position is a part of the Go-To-Market (GTM) Specialist team, where you will lead GTM strategy for AWS Database Services in UKI. We create sales plays, leverage partners, and build new initiatives that drive results for our customers. We provide critical feedback from customers to inform our product roadmap, and work closely with our partner network to build an ecosystem supporting our customersu2019 goals. In emerging areas, we play a critical role as the u201cfirst inu201d teams to build markets for new services, domains, or solutions. When a customer needs to innovate and requires a new way to leverage AWS, they count on us to innovate with them to build and deliver what they need.

Basic Qualifications

- Bachelor's degree

- Experience in developing, negotiating and executing business agreements

- Experience developing strategies that influence leadership decisions at the organizational level

- Experience presenting to both technical and non-technical executive audiences

- Experience with technology transformation initiatives

- Relevant GTM, Sales, or Consulting experience

- Subject Matter Expertise in Database technologies

Preferred Qualifications

- Experience interpreting data and making business recommendations

- Experience identifying, negotiating, and executing complex legal agreements

- Exceptional interpersonal and communication (both written and verbal) skills with experience communicating to technical and non-technical audiences.

- Established track record of credibility as a technology advisor with customer executives (e.g. CEO, COO, CIO, CTO, CMO) and Line of Business Leaders.

- Experience and success in negotiating complex deals with customers and partners.

- Experience in a heavily matrixed sales environment, including developing, implementing, managing, and executing go-to-market growth initiatives and sales motions.

- Deep understanding of cloud technologies, including public and hybrid cloud platforms.

- Deep Expertise in Database technologies (Relational and Non Relational)

- Technical background in engineering, computer science, or MIS a plus.



Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.



Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.



Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.

Sr. GTM Specialist Databases UKI, WWSO

London, London Amazon

Posted 2 days ago

Job Viewed

Tap Again To Close

Job Description

Description
Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, domain background, and sales skills necessary in the Databases domain? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Data and AI team as a Business Development Specialist leading the Databases Domain for UKI!
The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.
Key job responsibilities
Own the GTM strategy and execution for the Database Domain as part of the Data and AI Pillar for UKI, collaborating with teams in the field including Sales, Partners, Marketing, and other Specialists.
Leverage your deep expertise in Database technologies to understand the most important customer problems in your region and enable account aligned teams in the field to solve them.
Drive the customer adoption of AWS Database services in UKI by identifying top use cases, adoption patterns converting them into scalable repeatable motions
Lead cross-functional initiatives focused on database migration & modernisation to expand markets/accounts, develop scalable programs to drive adoption, and identify new opportunities within your domain.
Develop and execute goals to drive long term growth in your geography, while meeting/exceeding revenue and non-revenue driven KPI's.
Bring customer data and market signals back to Worldwide teams to ensure we are prioritizing the building of the right features and services for our customers.
Delivering monthly/quarterly business reviews and operational planning documents for your respective tech domain and geography.
Drive geographical scale through external partners; Partner with cross functional teams across Sales, Solution Architecture, Marketing, Partners, and Training and execute customer acquisition programs and strategies.
A day in the life
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
About the team
Within WWSO, this position is a part of the Go-To-Market (GTM) Specialist team, where you will lead GTM strategy for AWS Database Services in UKI. We create sales plays, leverage partners, and build new initiatives that drive results for our customers. We provide critical feedback from customers to inform our product roadmap, and work closely with our partner network to build an ecosystem supporting our customers' goals. In emerging areas, we play a critical role as the "first in" teams to build markets for new services, domains, or solutions. When a customer needs to innovate and requires a new way to leverage AWS, they count on us to innovate with them to build and deliver what they need.
Basic Qualifications
- Bachelor's degree
- Experience in developing, negotiating and executing business agreements
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience presenting to both technical and non-technical executive audiences
- Experience with technology transformation initiatives
- Relevant GTM, Sales, or Consulting experience
- Subject Matter Expertise in Database technologies
Preferred Qualifications
- Experience interpreting data and making business recommendations
- Experience identifying, negotiating, and executing complex legal agreements
- Exceptional interpersonal and communication (both written and verbal) skills with experience communicating to technical and non-technical audiences.
- Established track record of credibility as a technology advisor with customer executives (e.g. CEO, COO, CIO, CTO, CMO) and Line of Business Leaders.
- Experience and success in negotiating complex deals with customers and partners.
- Experience in a heavily matrixed sales environment, including developing, implementing, managing, and executing go-to-market growth initiatives and sales motions.
- Deep understanding of cloud technologies, including public and hybrid cloud platforms.
- Deep Expertise in Database technologies (Relational and Non Relational)
- Technical background in engineering, computer science, or MIS a plus.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.

PDRA in Solid-State Characterisation and Databases - Durham

DH1 5FA Durham, North East Durham University

Posted 2 days ago

Job Viewed

Tap Again To Close

Job Description

PDRA in Solid-State Characterisation and Databases - Durham

The Role

Are you an ambitious researcher looking for your next challenge? Do you have an established Are you an ambitious researcher looking for your next challenge? Do you have an established background in X-ray diffraction and the use of databases? Do you want to further your career in one of the UK's leading research-intensive universities?

We are looking for an outstanding Postdoctoral Research Associate to join a research project based in the groups of Prof. Aurora J. Cruz-Cabeza and Prof. John Evans. The project is part of a new £7m EPSRC funded Programme Grant that brings together a team of researchers from the universities of Durham, Leeds and Manchester investigating the formation of Molecular Solid Solutions (MoSS).

Solid solutions are created when atoms or ions of a dopant are incorporated within the crystal structure of a host. Even at minute quantities, this can significantly alter the properties of crystals. Although solid solutions in metals and inorganic materials are well-studied, little is known about systems where the host and dopants are small organic molecules (MoSS). There is huge potential of utilising MoSS for changing and modulating materials properties , such as solubilities, crystal polymorph, crystal sizes and shapes and rates of dissolution.

The overall goal of the consortium is to develop and apply cutting-edge techniques in crystal synthesis, characterisation and modelling to study and generate a new understanding of MoSS. These advances will have applications across multiple sectors, including pharmaceuticals, agrochemicals, and food industries.

There are multiple opportunities to collaborate, take part in network events and undertake research placements within this project.

You will have a PhD in Physical Sciences or a closely related field, and you will have a background in X-ray diffraction. Knowledge of databases, crystallisation and other characterisation methods for molecular crystals is a must. The key responsibilities are to develop a database of MoSS, to study MoSS with various diffraction methods, to develop code to automate the characterisation of MoSS with diffraction and other methods. The successful candidate will be involved in the supervision of a PhD student during the duration of the position and will have significant of opportunities for career development.

This advertiser has chosen not to accept applicants from your region.

Senior Data Scientist - Financial Modeling

SR1 1 Sunderland, North East £70000 Annually WhatJobs

Posted today

Job Viewed

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Job Description

full-time
Our client, a highly respected financial services institution, is seeking an experienced Senior Data Scientist to lead the development and implementation of advanced financial models. This is a fully remote position, enabling you to contribute your expertise from anywhere in the UK. You will play a crucial role in leveraging data to drive strategic decision-making, optimize risk management, and enhance predictive capabilities within the firm.

Key Responsibilities:
  • Develop, validate, and deploy sophisticated predictive models for areas such as credit risk, market risk, fraud detection, and customer behavior analysis.
  • Clean, transform, and analyze large, complex datasets from various sources using statistical and machine learning techniques.
  • Collaborate closely with business stakeholders, data engineers, and other data scientists to understand requirements and deliver actionable insights.
  • Design and implement A/B tests and other experimental methodologies to evaluate model performance and business impact.
  • Stay abreast of the latest advancements in data science, machine learning, and financial modeling techniques.
  • Build robust data pipelines and automated reporting systems to support ongoing model monitoring and performance tracking.
  • Communicate complex findings and model methodologies clearly and concisely to both technical and non-technical audiences.
  • Mentor junior data scientists and contribute to the growth and development of the data science team.
  • Ensure compliance with all relevant regulations and data privacy standards.
  • Contribute to the strategic roadmap for data science initiatives within the organization.
  • Document all modeling processes, assumptions, and results thoroughly.
Qualifications and Skills:
  • Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
  • Minimum of 5 years of experience as a Data Scientist, with a significant focus on financial modeling and analysis.
  • Proven expertise in developing and deploying machine learning models (e.g., regression, classification, time-series forecasting, clustering).
  • Proficiency in programming languages such as Python or R, and strong experience with relevant libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow, PyTorch).
  • Solid understanding of statistical concepts and methods.
  • Experience with SQL and working with relational databases; experience with big data technologies (e.g., Spark, Hadoop) is a plus.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
  • Familiarity with financial industry regulations and data governance principles.
  • Ability to work independently and effectively manage projects in a remote setting.
  • Demonstrated ability to translate business problems into data science solutions.
This is an exceptional opportunity for a skilled Data Scientist to lead impactful financial modeling initiatives within a leading financial services firm, all while enjoying the flexibility of a fully remote role. If you are passionate about data-driven insights and quantitative analysis in finance, we encourage you to apply.
This advertiser has chosen not to accept applicants from your region.

Principal Insurance Data Scientist (Risk Modeling)

PL1 1AA Plymouth, South West £80000 Annually WhatJobs

Posted 10 days ago

Job Viewed

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Job Description

full-time
Our client, a leading innovator in the insurance sector, is seeking a Principal Insurance Data Scientist to spearhead advanced risk modeling initiatives. This is a fully remote role, offering significant autonomy and the opportunity to influence strategic decision-making from your home office. You will be responsible for developing sophisticated predictive models to assess and quantify insurance risks, optimize pricing strategies, and enhance underwriting processes. Your work will involve leveraging large, complex datasets, including historical claims data, demographic information, and external economic factors. The ideal candidate will possess a PhD or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, coupled with a minimum of 7 years of experience in data science, specifically within the insurance or financial services industry. Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, time series analysis, deep learning), and programming languages like Python or R is essential. Experience with data visualization tools and big data technologies (e.g., Spark, Hadoop) is also highly valued. You will lead projects from conception to deployment, mentor junior data scientists, and collaborate closely with actuarial teams, underwriters, and business stakeholders. Strong communication and presentation skills are required to convey complex analytical findings clearly and effectively. This role demands a proactive, innovative mindset and a deep understanding of insurance principles and regulatory requirements. Your insights will directly impact the company's profitability and competitive positioning. We are looking for a thought leader who can drive the data science agenda and contribute to the company's digital transformation. The ability to translate business problems into data-driven solutions is paramount.
This advertiser has chosen not to accept applicants from your region.

Remote Lead Data Scientist - Financial Modeling

L1 8JQ Liverpool, North West £80000 Annually WhatJobs

Posted 10 days ago

Job Viewed

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Job Description

full-time
Our client, a leading financial institution, is seeking a highly skilled and experienced Lead Data Scientist to join their innovative team in a fully remote capacity. This role offers the unique opportunity to shape the future of financial modeling and risk assessment from the comfort of your home office. You will be responsible for leading the development and implementation of advanced statistical and machine learning models to address complex financial challenges. This includes building predictive models for market trends, credit risk, fraud detection, and investment performance. As a Lead Data Scientist, you will mentor junior team members, guide research initiatives, and collaborate closely with cross-functional teams, including portfolio managers, risk officers, and software engineers, to integrate data-driven insights into strategic decision-making processes. You will be at the forefront of leveraging cutting-edge technologies and big data platforms to extract actionable intelligence from vast datasets. A strong understanding of financial markets, regulatory requirements, and quantitative finance is crucial. The ideal candidate will possess a deep technical expertise in areas such as Python, R, SQL, and various machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn), coupled with exceptional problem-solving skills and a passion for innovation. You will be expected to communicate technical concepts effectively to both technical and non-technical audiences, present findings, and contribute to the overall data science strategy of the organization. This is an exceptional opportunity to drive significant impact in the financial sector while enjoying the flexibility of a remote-first work environment.

Responsibilities:
  • Lead the design, development, and deployment of advanced analytical models for financial applications.
  • Mentor and guide a team of data scientists and analysts.
  • Collaborate with business stakeholders to understand needs and translate them into data science projects.
  • Conduct exploratory data analysis and feature engineering on large, complex datasets.
  • Implement and optimize machine learning algorithms for prediction, classification, and anomaly detection.
  • Develop and maintain robust data pipelines and reporting frameworks.
  • Stay abreast of the latest advancements in data science, machine learning, and financial modeling.
  • Present complex findings and recommendations to senior management and other stakeholders.

Qualifications:
  • Ph.D. or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Economics).
  • Significant experience (5+ years) as a Data Scientist, with a focus on financial modeling or risk management.
  • Proven leadership experience in managing data science projects and teams.
  • Expert proficiency in programming languages such as Python or R, and SQL.
  • Hands-on experience with big data technologies (e.g., Spark) and cloud platforms (e.g., AWS, Azure, GCP).
  • Deep understanding of statistical modeling, machine learning techniques, and financial mathematics.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work independently and collaboratively in a remote setting.
This advertiser has chosen not to accept applicants from your region.
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Remote Junior Data Scientist - Predictive Modeling

M1 1AB Manchester, North West £25000 Annually WhatJobs

Posted 10 days ago

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Job Description

intern
Our client is launching an exciting new graduate program and is looking for ambitious Junior Data Scientists to join their innovative team. This is a fully remote, internship position designed for individuals passionate about leveraging data to solve complex problems. You will work closely with experienced data scientists, gaining hands-on experience in developing and implementing machine learning models, analysing large datasets, and contributing to data-driven product development. Your primary focus will be on supporting the creation of predictive models, data cleaning, feature engineering, and exploring new analytical approaches. This internship offers a unique opportunity to learn and grow in a fast-paced, collaborative environment, with ample opportunities for professional development and mentorship. The ideal candidate will possess a strong foundational understanding of statistics, programming (preferably Python), and a keen interest in artificial intelligence and machine learning. You should be eager to learn, possess excellent problem-solving skills, and be comfortable working autonomously in a remote setting.

Key Responsibilities:
  • Assist senior data scientists in developing and implementing machine learning models.
  • Perform data cleaning, preprocessing, and feature engineering on diverse datasets.
  • Conduct exploratory data analysis to identify trends, patterns, and insights.
  • Support the validation and testing of predictive models.
  • Contribute to the documentation of data science processes and methodologies.
  • Learn and apply new data science techniques and tools under guidance.
  • Collaborate with team members on data-related projects and initiatives.
  • Help prepare reports and visualizations to communicate findings.
  • Participate in team meetings and knowledge-sharing sessions.
  • Proactively seek opportunities to enhance analytical skills and contribute to project success.
Qualifications:
  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
  • Foundational knowledge of statistical concepts and machine learning algorithms.
  • Proficiency in Python, including libraries such as Pandas, NumPy, Scikit-learn.
  • Familiarity with data visualization tools (e.g., Matplotlib, Seaborn).
  • Strong analytical and problem-solving abilities.
  • Excellent written and verbal communication skills.
  • Ability to work independently and manage time effectively in a remote environment.
  • Eagerness to learn and adapt to new technologies and methodologies.
  • Prior internship or project experience in data analysis or data science is a plus.
This advertiser has chosen not to accept applicants from your region.
 

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