Data Scientist Jobs in Energy: Demand, Pay & Skills
Part of Plutarch’s ongoing analysis of skill demand in energy hiring — last updated 5 October 2026, based on 80 tracked postings.
As of 5 October 2026, Plutarch tracked 80 unique open Data Scientist postings at energy employers. 18 postings disclosed annual pay, with a United States median of USD 185,000.
Demand for Data Scientists in energy is concentrated in the United States, with sizable but smaller pockets in India and a handful of European countries. The market skews heavily toward senior and above, with titles carrying senior, lead, principal, staff or manager labels making up the largest single group, while entry-level and executive-level openings are scarce. A substantial share of postings give no seniority signal at all, which adds ambiguity for anyone benchmarking level.
Open postings
Where
- United States · 29
- India · 15
- Canada · 6
- United Kingdom · 5
- Germany · 3
- Other or not stated · 22
Seniority
- Early career · 3
- Level not stated in title · 35
- Senior, lead, staff or manager · 40
- Leadership · 2
Disclosed pay by country · annual
| Country | Lowest to highest employer midpoint | Median | Postings stating pay |
|---|---|---|---|
| United States | USD 75,000–333,000 | USD 185,000 | 18 of 25 |
Directional, not conclusive. Each figure is the midpoint of a salary range an employer disclosed in a public job posting, derived from public market sources and rounded to the nearest thousand. Samples are small, so a country appears only when at least 5 open postings disclose annual pay. At these sample sizes, do not compare one role’s median against another’s — the difference between them is smaller than the error on either.
How many employers state pay
- United States · pay stated in 20 of 25 postings we could read
- India · pay stated in 0 of 9 postings we could read
- Canada · pay stated in 3 of 5 postings we could read
- United Kingdom · pay stated in 0 of 4 postings we could read
- Germany · pay stated in 2 of 3 postings we could read
Counted from the same open postings as above, leaving out postings whose text we could not read for pay. Pay disclosure tracks local pay-transparency law more closely than employer policy, so a low rate is not evidence that employers here pay less.
Who is hiring
| Employer | Open postings |
|---|---|
| ExxonMobil | 5 |
| Helion Energy | 5 |
| NextEra Energy | 5 |
| KoBold Metals | 4 |
| S&P Global | 4 |
| Shell | 4 |
| Baker Hughes | 3 |
| Bloom Energy | 3 |
| Siemens Energy | 3 |
| bp | 2 |
| Chevron | 2 |
| Crusoe | 2 |
| Other employers | 38 |
How these roles are titled
The titles employers use for this role, most repeated first. Titles shown without a count appeared once.
- Data Scientist · 15 postings
- Senior Data Scientist · 13 postings
- Data Scientist III · 2 postings
- Expert Data Scientist · 2 postings
- Lead Data Scientist · 2 postings
- Principal Data Scientist · 2 postings
- (Senior) Data Scientist ( /x) Forecasting
- 2027 Summer Internship - Data Science/Analytics (Various Exelon Locations)
- Advanced Data Scientist
- Applied Scientist I
- APPRENTI(E) INGENIEUR(E) DATA SCIENTIST
- Artificial Intelligence Scientist
- Computational Data Science Researcher
- Data Science & AI Engineering Internship
- Data Science Engagement Lead
What employers ask for
Skills and tools named in the text of 51 open postings we could read in full, most named first.
| Skill or tool | Postings naming it | Employers |
|---|---|---|
| Python | 47 of 51 | 28 |
| Machine learning | 39 of 51 | 25 |
| Statistics | 38 of 51 | 22 |
| SQL | 25 of 51 | 19 |
| Time-series modelling | 16 of 51 | 14 |
| Databricks | 16 of 51 | 13 |
| Azure | 15 of 51 | 12 |
| MLOps | 14 of 51 | 12 |
| AWS | 12 of 51 | 10 |
| Generative AI | 10 of 51 | 9 |
| CI/CD | 10 of 51 | 8 |
| LLMs | 10 of 51 | 8 |
| Git | 9 of 51 | 8 |
| Mathematical optimisation | 9 of 51 | 7 |
| scikit-learn | 8 of 51 | 8 |
A skill counts when the posting names it anywhere — requirements, role description or the employer’s own introduction. A skill is shown only when at least 3 postings from at least two employers name it. Postings whose full text we did not read are left out of these counts rather than counted as asking for nothing.
Patterns in the job titles
- Applied science combined with senior or staff-level scope
- Forecasting-focused data science work
Data Scientist job description template
An outline to start from. The requirements are the skills energy employers most often name for this role, with how often each is named — not a model's guess.
Already have a draft? Paste it for a hiring-feasibility brief and a sharpened version. For the credential line, see which credentials the law requires, and where.
What the postings suggest about filling this role
The heavy weighting toward senior, lead, staff and principal titles suggests employers are competing hardest for experienced candidates, which tends to lengthen searches, while the near-absence of junior and executive openings narrows the pipeline at both ends. The large unclear-seniority segment adds further difficulty, since it obscures how much of the real demand is actually senior versus how it is simply worded.
Read from employer demand only. These sources show what employers advertise, not how many people are available to hire, so this is a reading of the vacancies rather than a measure of scarcity.
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Check your role — two briefs freeCounts are unique open postings seen in the last three weeks, taken from the named employers’ own published job postings; a vacancy posted in several places is counted once. Employers are named because they published these postings publicly themselves. The written summary is AI-generated from those postings and contains no figures and no employer names. Posting figures are direct counts; pay figures are the median and range of the salaries those employers disclosed. Terms of use.